Cricket_Prediction_IITM.ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Copy of Cricket- Prediction-IITM.ipynb",
      "provenance": [],
      "collapsed_sections": [
        "-8xKcul-Szzl",
        "49PbQaevS_bp",
        "ekAJtSLqGV5P",
        "CVmLKG0q6FR7",
        "E7dqj2Yf6p97",
        "stm2jv2U_Yvs",
        "2j8M3uZ4AFUt"
      ],
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-8xKcul-Szzl"
      },
      "source": [
        "# Imports"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qpUFmaZEIn6l",
        "outputId": "d2ff9039-7d21-496c-c85d-e7ef3ae294bf"
      },
      "source": [
        "!pip install scikit-learn==0.24.1"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting scikit-learn==0.24.1\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/f3/74/eb899f41d55f957e2591cde5528e75871f817d9fb46d4732423ecaca736d/scikit_learn-0.24.1-cp37-cp37m-manylinux2010_x86_64.whl (22.3MB)\n",
            "\u001b[K     |████████████████████████████████| 22.3MB 10.4MB/s \n",
            "\u001b[?25hRequirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.7/dist-packages (from scikit-learn==0.24.1) (1.0.1)\n",
            "Collecting threadpoolctl>=2.0.0\n",
            "  Downloading https://files.pythonhosted.org/packages/f7/12/ec3f2e203afa394a149911729357aa48affc59c20e2c1c8297a60f33f133/threadpoolctl-2.1.0-py3-none-any.whl\n",
            "Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib/python3.7/dist-packages (from scikit-learn==0.24.1) (1.19.5)\n",
            "Requirement already satisfied: scipy>=0.19.1 in /usr/local/lib/python3.7/dist-packages (from scikit-learn==0.24.1) (1.4.1)\n",
            "Installing collected packages: threadpoolctl, scikit-learn\n",
            "  Found existing installation: scikit-learn 0.22.2.post1\n",
            "    Uninstalling scikit-learn-0.22.2.post1:\n",
            "      Successfully uninstalled scikit-learn-0.22.2.post1\n",
            "Successfully installed scikit-learn-0.24.1 threadpoolctl-2.1.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZQ3T4GzMOADy"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.preprocessing import OneHotEncoder\n",
        "import os\n",
        "import math\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import LabelEncoder, StandardScaler\n",
        "import keras\n",
        "from keras import layers\n",
        "from keras import layers\n",
        "import keras\n",
        "import tensorflow as tf\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Dense\n",
        "from keras.layers import LSTM\n",
        "from keras.layers import Flatten\n",
        "from keras.optimizers import Adam\n",
        "from keras.layers import Bidirectional\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "from sklearn.metrics import mean_squared_error"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f8JGdOg3LqEh"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ByJF5YNSJ09c",
        "outputId": "9f88c883-6f2b-4194-cc4b-f81bb3fcad2d"
      },
      "source": [
        "!gdown --id \"1TBxr27T0vdOagjDLvKlio-MDiWDpqHCb\"   #ipl_csv2.zip\n",
        "!gdown --id \"1AN4kUrHQN72iDQFSwEwI6i7gbGJQ3LTr\"   #submissionFormat.zip   \n",
        "!gdown --id \"1TCqabv-mePLDkj2qKIxQecCuB_ZwO4Gk\"   #input_test_data.csv"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1TBxr27T0vdOagjDLvKlio-MDiWDpqHCb\n",
            "To: /content/ipl_csv2.zip\n",
            "3.24MB [00:00, 98.4MB/s]\n",
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1AN4kUrHQN72iDQFSwEwI6i7gbGJQ3LTr\n",
            "To: /content/submissionFormat.zip\n",
            "100% 1.00k/1.00k [00:00<00:00, 1.80MB/s]\n",
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1TCqabv-mePLDkj2qKIxQecCuB_ZwO4Gk\n",
            "To: /content/input_test_data.csv\n",
            "100% 193/193 [00:00<00:00, 320kB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2GxygQBDMvU_",
        "outputId": "3ca094eb-cbbd-4b16-8ba2-a4402609d6e7"
      },
      "source": [
        "!unzip /content/ipl_csv2.zip -d dataset\n",
        "!unzip /content/submissionFormat.zip -d submission"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  /content/ipl_csv2.zip\n",
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            "Archive:  /content/submissionFormat.zip\n",
            "  inflating: submission/inputFile.csv  \n",
            "  inflating: submission/main.py      \n",
            "  inflating: submission/predictor.py  \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wnTVBKI1NylJ"
      },
      "source": [
        "!mv /content/dataset/all_matches.csv ."
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DE4Y9tToN-69",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "627789e2-48e4-4300-93a6-ac29042cba41"
      },
      "source": [
        "df = pd.read_csv('all_matches.csv')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/IPython/core/interactiveshell.py:2718: DtypeWarning: Columns (1) have mixed types.Specify dtype option on import or set low_memory=False.\n",
            "  interactivity=interactivity, compiler=compiler, result=result)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "18-BsPQ9OwM8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "5b5bffb3-597e-4361-e55c-b17e45736530"
      },
      "source": [
        "df.columns"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['match_id', 'season', 'start_date', 'venue', 'innings', 'ball',\n",
              "       'batting_team', 'bowling_team', 'striker', 'non_striker', 'bowler',\n",
              "       'runs_off_bat', 'extras', 'wides', 'noballs', 'byes', 'legbyes',\n",
              "       'penalty', 'wicket_type', 'player_dismissed', 'other_wicket_type',\n",
              "       'other_player_dismissed'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XwCOmNM-O2Fs",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "62b6efaa-621e-4069-cfd9-9ee49197ddb4"
      },
      "source": [
        "df.shape[0] "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "194354"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nGIQ5vyHS5m-"
      },
      "source": [
        "# Preprocessing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "P5gYnYA0-ARd",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "175965fd-beb0-4ee0-85ee-1711e3730385"
      },
      "source": [
        "df = pd.read_csv('all_matches.csv')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/IPython/core/interactiveshell.py:2718: DtypeWarning: Columns (1) have mixed types.Specify dtype option on import or set low_memory=False.\n",
            "  interactivity=interactivity, compiler=compiler, result=result)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_Lr3Yf1vPUAD",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b09d5bd8-58ef-410c-e008-24657dc81951"
      },
      "source": [
        "df.isnull().sum()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "match_id                       0\n",
              "season                         0\n",
              "start_date                     0\n",
              "venue                          0\n",
              "innings                        0\n",
              "ball                           0\n",
              "batting_team                   0\n",
              "bowling_team                   0\n",
              "striker                        0\n",
              "non_striker                    0\n",
              "bowler                         0\n",
              "runs_off_bat                   0\n",
              "extras                         0\n",
              "wides                     188470\n",
              "noballs                   193580\n",
              "byes                      193843\n",
              "legbyes                   191236\n",
              "penalty                   194352\n",
              "wicket_type               184794\n",
              "player_dismissed          184794\n",
              "other_wicket_type         194354\n",
              "other_player_dismissed    194354\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FiU2uHkmPePJ"
      },
      "source": [
        "df = df.drop(columns=['other_player_dismissed','other_wicket_type','penalty'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1HfNZePVRpkb",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1d4672b7-8bf2-4ca7-f2e2-7a509e9d7131"
      },
      "source": [
        "df.isnull().sum()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "match_id                 0\n",
              "season                   0\n",
              "start_date               0\n",
              "venue                    0\n",
              "innings                  0\n",
              "ball                     0\n",
              "batting_team             0\n",
              "bowling_team             0\n",
              "striker                  0\n",
              "non_striker              0\n",
              "bowler                   0\n",
              "runs_off_bat             0\n",
              "extras                   0\n",
              "wides               188470\n",
              "noballs             193580\n",
              "byes                193843\n",
              "legbyes             191236\n",
              "wicket_type         184794\n",
              "player_dismissed    184794\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MI2YX2XtRxaM"
      },
      "source": [
        "df['byes'] = df['byes'].fillna(0)\n",
        "df['noballs'] = df['noballs'].fillna(0)\n",
        "df['wides'] = df['wides'].fillna(0)\n",
        "df['legbyes'] = df['legbyes'].fillna(0)\n",
        "df['player_dismissed'] = df['player_dismissed'].fillna('notout')\n",
        "df['wicket_type'] = df['wicket_type'].fillna('nowicket')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "O2iWwTabk63V"
      },
      "source": [
        "df = df.replace(['M Chinnaswamy Stadium',\"M.Chinnaswamy Stadium\"],\"M Chinnaswamy Stadium\")\n",
        "df = df.replace(['MA Chidambaram Stadium, Chepauk',\"MA Chidambaram Stadium, Chepauk, Chennai\"],\"MA Chidambaram Stadium\")\n",
        "df = df.replace([\"Punjab Cricket Association IS Bindra Stadium, Mohali\",\"Punjab Cricket Association IS Bindra Stadium\",\"Punjab Cricket Association Stadium, Mohali\"],\"Punjab Cricket Association Stadium, Mohali\")\n",
        "df = df.replace(['Wankhede Stadium',\"Wankhede Stadium, Mumbai\",\"Maharashtra Cricket Association Stadium\"],\"Wankhede Stadium\")\n",
        "df = df.replace(['Rajiv Gandhi International Stadium, Uppal',\"Rajiv Gandhi International Stadium\"],\"Rajiv Gandhi International Stadium\")\n",
        "df = df.replace(['Rajiv Gandhi International Stadium, Uppal',\"Rajiv Gandhi International Stadium\"],\"Rajiv Gandhi International Stadium\")\n",
        "df = df.replace([\"Feroz Shah Kotla\"],\"Arun Jaitley Stadium\")\n",
        "df = df.replace(['Delhi Daredevils'],\"Delhi Capitals\")\n",
        "df = df.replace(['Deccan Chargers'],\"Sunrisers Hyderabad\")\n",
        "df = df.replace(['Rising Pune Supergiant'],'Rising Pune Supergiants')\n",
        "df = df.replace(['Kings XI Punjab'],'Punjab Kings')\n",
        "df = df.replace(['Sardar Patel Stadium, Motera'],'Narendra Modi Stadium')\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1SMw1bymmnmP",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "46ff802a-6793-4b4b-daf3-6d5c7fded3f0"
      },
      "source": [
        "df['season'].astype(str)\n",
        "df = df.replace(['2007/08'],'2008')\n",
        "df = df.replace(['2009/10'],'2010')\n",
        "df = df.replace(['2020/21'],'2020')\n",
        "df = df.replace([2012],'2012')\n",
        "df = df.replace([2018],'2018')\n",
        "df = df.replace([2019],'2019')\n",
        "df = df.replace([2013],'2013')\n",
        "df = df.replace([2014],'2014')\n",
        "df = df.replace([2015],'2015')\n",
        "df = df.replace([2016],'2016')\n",
        "df = df.replace([2017],'2017')\n",
        "df['season'].astype(str)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0         2008\n",
              "1         2008\n",
              "2         2008\n",
              "3         2008\n",
              "4         2008\n",
              "          ... \n",
              "194349    2021\n",
              "194350    2021\n",
              "194351    2021\n",
              "194352    2021\n",
              "194353    2021\n",
              "Name: season, Length: 194354, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "49PbQaevS_bp"
      },
      "source": [
        "# EDA"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BqbUJdldTC4p"
      },
      "source": [
        "df = df[(df['season'] == '2016') | (df['season'] == '2017') | (df['season'] == '2018') | (df['season'] == '2019') | (df['season'] == '2020')]\n",
        "#df = df.drop(index = list(range(176428,176443)))\n",
        "#df = df.drop(index = list(range(57068,57131)))\n",
        "#df = df.drop(index = list(range(115599,115727)))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "05DsZee5jYw4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1c0a5254-aa8a-4500-de42-1715ab88ba8b"
      },
      "source": [
        "match1 = df[(df['match_id'] == 335982) & (df['innings'] == 1) & (df['ball'] < 6.0)]\n",
        "match1['striker'].unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UNoXp_Pjkwz9"
      },
      "source": [
        "powerplay = df[(df['ball'] < 6.0)]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HjHaqxBqFkjK"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mU1_RSh2k1qF",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 590
        },
        "outputId": "67d0e20a-c269-4dcf-d244-a35150a19277"
      },
      "source": [
        "powerplay.head(100)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>match_id</th>\n",
              "      <th>season</th>\n",
              "      <th>start_date</th>\n",
              "      <th>venue</th>\n",
              "      <th>innings</th>\n",
              "      <th>ball</th>\n",
              "      <th>batting_team</th>\n",
              "      <th>bowling_team</th>\n",
              "      <th>striker</th>\n",
              "      <th>non_striker</th>\n",
              "      <th>bowler</th>\n",
              "      <th>runs_off_bat</th>\n",
              "      <th>extras</th>\n",
              "      <th>wides</th>\n",
              "      <th>noballs</th>\n",
              "      <th>byes</th>\n",
              "      <th>legbyes</th>\n",
              "      <th>wicket_type</th>\n",
              "      <th>player_dismissed</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>122502</th>\n",
              "      <td>980901</td>\n",
              "      <td>2016</td>\n",
              "      <td>2016-04-09</td>\n",
              "      <td>Wankhede Stadium</td>\n",
              "      <td>1</td>\n",
              "      <td>0.1</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>Rising Pune Supergiants</td>\n",
              "      <td>LMP Simmons</td>\n",
              "      <td>RG Sharma</td>\n",
              "      <td>RP Singh</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>nowicket</td>\n",
              "      <td>notout</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>122503</th>\n",
              "      <td>980901</td>\n",
              "      <td>2016</td>\n",
              "      <td>2016-04-09</td>\n",
              "      <td>Wankhede Stadium</td>\n",
              "      <td>1</td>\n",
              "      <td>0.2</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>Rising Pune Supergiants</td>\n",
              "      <td>RG Sharma</td>\n",
              "      <td>LMP Simmons</td>\n",
              "      <td>RP Singh</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>nowicket</td>\n",
              "      <td>notout</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>122504</th>\n",
              "      <td>980901</td>\n",
              "      <td>2016</td>\n",
              "      <td>2016-04-09</td>\n",
              "      <td>Wankhede Stadium</td>\n",
              "      <td>1</td>\n",
              "      <td>0.3</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>Rising Pune Supergiants</td>\n",
              "      <td>RG Sharma</td>\n",
              "      <td>LMP Simmons</td>\n",
              "      <td>RP Singh</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>nowicket</td>\n",
              "      <td>notout</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>122505</th>\n",
              "      <td>980901</td>\n",
              "      <td>2016</td>\n",
              "      <td>2016-04-09</td>\n",
              "      <td>Wankhede Stadium</td>\n",
              "      <td>1</td>\n",
              "      <td>0.4</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>Rising Pune Supergiants</td>\n",
              "      <td>RG Sharma</td>\n",
              "      <td>LMP Simmons</td>\n",
              "      <td>RP Singh</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>nowicket</td>\n",
              "      <td>notout</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>122506</th>\n",
              "      <td>980901</td>\n",
              "      <td>2016</td>\n",
              "      <td>2016-04-09</td>\n",
              "      <td>Wankhede Stadium</td>\n",
              "      <td>1</td>\n",
              "      <td>0.5</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>Rising Pune Supergiants</td>\n",
              "      <td>RG Sharma</td>\n",
              "      <td>LMP Simmons</td>\n",
              "      <td>RP Singh</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>nowicket</td>\n",
              "      <td>notout</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>122738</th>\n",
              "      <td>980903</td>\n",
              "      <td>2016</td>\n",
              "      <td>2016-04-10</td>\n",
              "      <td>Eden Gardens</td>\n",
              "      <td>1</td>\n",
              "      <td>2.6</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>Kolkata Knight Riders</td>\n",
              "      <td>SS Iyer</td>\n",
              "      <td>MA Agarwal</td>\n",
              "      <td>AD Russell</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>lbw</td>\n",
              "      <td>SS Iyer</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>122739</th>\n",
              "      <td>980903</td>\n",
              "      <td>2016</td>\n",
              "      <td>2016-04-10</td>\n",
              "      <td>Eden Gardens</td>\n",
              "      <td>1</td>\n",
              "      <td>3.1</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>Kolkata Knight Riders</td>\n",
              "      <td>MA Agarwal</td>\n",
              "      <td>KK Nair</td>\n",
              "      <td>JW Hastings</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>nowicket</td>\n",
              "      <td>notout</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>122740</th>\n",
              "      <td>980903</td>\n",
              "      <td>2016</td>\n",
              "      <td>2016-04-10</td>\n",
              "      <td>Eden Gardens</td>\n",
              "      <td>1</td>\n",
              "      <td>3.2</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>Kolkata Knight Riders</td>\n",
              "      <td>MA Agarwal</td>\n",
              "      <td>KK Nair</td>\n",
              "      <td>JW Hastings</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>nowicket</td>\n",
              "      <td>notout</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>122741</th>\n",
              "      <td>980903</td>\n",
              "      <td>2016</td>\n",
              "      <td>2016-04-10</td>\n",
              "      <td>Eden Gardens</td>\n",
              "      <td>1</td>\n",
              "      <td>3.3</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>Kolkata Knight Riders</td>\n",
              "      <td>MA Agarwal</td>\n",
              "      <td>KK Nair</td>\n",
              "      <td>JW Hastings</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>nowicket</td>\n",
              "      <td>notout</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>122742</th>\n",
              "      <td>980903</td>\n",
              "      <td>2016</td>\n",
              "      <td>2016-04-10</td>\n",
              "      <td>Eden Gardens</td>\n",
              "      <td>1</td>\n",
              "      <td>3.4</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>Kolkata Knight Riders</td>\n",
              "      <td>MA Agarwal</td>\n",
              "      <td>KK Nair</td>\n",
              "      <td>JW Hastings</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>nowicket</td>\n",
              "      <td>notout</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>100 rows × 19 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        match_id season  start_date  ... legbyes  wicket_type  player_dismissed\n",
              "122502    980901   2016  2016-04-09  ...     0.0     nowicket            notout\n",
              "122503    980901   2016  2016-04-09  ...     0.0     nowicket            notout\n",
              "122504    980901   2016  2016-04-09  ...     0.0     nowicket            notout\n",
              "122505    980901   2016  2016-04-09  ...     0.0     nowicket            notout\n",
              "122506    980901   2016  2016-04-09  ...     0.0     nowicket            notout\n",
              "...          ...    ...         ...  ...     ...          ...               ...\n",
              "122738    980903   2016  2016-04-10  ...     0.0          lbw           SS Iyer\n",
              "122739    980903   2016  2016-04-10  ...     0.0     nowicket            notout\n",
              "122740    980903   2016  2016-04-10  ...     0.0     nowicket            notout\n",
              "122741    980903   2016  2016-04-10  ...     0.0     nowicket            notout\n",
              "122742    980903   2016  2016-04-10  ...     0.0     nowicket            notout\n",
              "\n",
              "[100 rows x 19 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7deUfmyjlksA"
      },
      "source": [
        "match_id =list(df['match_id'].unique())"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RefpF9JVo_Zq"
      },
      "source": [
        "finaldata = pd.DataFrame(columns=['match_id','venue','innings','batting_team','bowling_team','batsmen','bowlers'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kHtZZtZJ0RT6"
      },
      "source": [
        "for match in match_id:\n",
        "  #match = 501264\n",
        "  venue = list(df[(df['match_id'] == match) &(df['innings'] == 1)]['venue'].unique())[0]\n",
        "  batting_team = list(df[(df['match_id'] == match)  & (df['innings'] == 1)]['batting_team'].unique())[0]\n",
        "  bowling_team = list(df[(df['match_id'] == match)  & (df['innings'] == 1)]['bowling_team'].unique())[0]\n",
        "  batsmen = ','.join(list(df[(df['match_id'] == match)  & (df['innings'] == 1)]['striker'].unique()))\n",
        "  bowlers = ','.join(list(df[(df['match_id'] == match)  & (df['innings'] == 1)]['bowler'].unique()))\n",
        "  runs = df[(df['match_id'] == match) & (df['innings'] == 1)]['runs_off_bat'].sum() + df[(df['match_id'] == match) & (df['innings'] == 1)]['extras'].sum()\n",
        "  wickets = len(df[(df['match_id'] == match)& (df['innings'] == 1) & (df['player_dismissed'] != 'notout')])\n",
        "  #print(match,venue)\n",
        "  #print(match,venue,1,batting_team,bowling_team,batsmen,bowlers)\n",
        "  finaldata = finaldata.append({'match_id':match,'venue':venue,'innings':1,'batting_team':batting_team,'bowling_team':bowling_team,'batsmen':batsmen,'bowlers':bowlers,'ppruns':runs,'ppwickets':wickets}, ignore_index=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "P_w8FlYlk2L1"
      },
      "source": [
        "for match in match_id:\n",
        "  #print(match)\n",
        "  venue = df[(df['match_id'] == match)  &(df['innings'] == 2)]['venue'].unique()[0]\n",
        "  batting_team = list(df[(df['match_id'] == match)  &(df['innings'] == 2)]['batting_team'].unique())[0]\n",
        "  bowling_team = list(df[(df['match_id'] == match)  &(df['innings'] == 2)]['bowling_team'].unique())[0]\n",
        "  batsmen = ','.join(list(df[(df['match_id'] == match)  &(df['innings'] == 2)]['striker'].unique()))\n",
        "  bowlers = ','.join(list(df[(df['match_id'] == match)  &(df['innings'] == 2)]['bowler'].unique()))\n",
        "  runs = df[(df['match_id'] == match)  &(df['innings'] == 2)]['runs_off_bat'].sum() + df[(df['match_id'] == match) & (df['innings'] == 2)]['extras'].sum()\n",
        "  wickets = len(df[(df['match_id'] == match)  & (df['innings'] == 2) & (df['player_dismissed'] != 'notout')])\n",
        "  #print(match,venue)\n",
        "  #print(match,venue,1,batting_team,bowling_team,batsmen,bowlers)\n",
        "  finaldata = finaldata.append({'match_id':match,'venue':venue,'innings':2,'batting_team':batting_team,'bowling_team':bowling_team,'batsmen':batsmen,'bowlers':bowlers,'ppruns':runs,'ppwickets':wickets}, ignore_index=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b5f1pZB_TyCW"
      },
      "source": [
        "finaldata2=finaldata"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yaCumV4eNXJ-"
      },
      "source": [
        "finaldata2.sort_values(by=['match_id','innings'], inplace=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7Tn8PIz6UHYy",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 654
        },
        "outputId": "bdbb1cb8-b24b-4f82-f068-15c8b3465031"
      },
      "source": [
        "finaldata2"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>match_id</th>\n",
              "      <th>venue</th>\n",
              "      <th>innings</th>\n",
              "      <th>batting_team</th>\n",
              "      <th>bowling_team</th>\n",
              "      <th>batsmen</th>\n",
              "      <th>bowlers</th>\n",
              "      <th>ppruns</th>\n",
              "      <th>ppwickets</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>980901</td>\n",
              "      <td>Wankhede Stadium</td>\n",
              "      <td>1</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>Rising Pune Supergiants</td>\n",
              "      <td>LMP Simmons,RG Sharma,HH Pandya,JC Buttler,AT ...</td>\n",
              "      <td>RP Singh,I Sharma,MR Marsh,R Bhatia,M Ashwin,R...</td>\n",
              "      <td>121.0</td>\n",
              "      <td>8.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>299</th>\n",
              "      <td>980901</td>\n",
              "      <td>Wankhede Stadium</td>\n",
              "      <td>2</td>\n",
              "      <td>Rising Pune Supergiants</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>AM Rahane,F du Plessis,KP Pietersen</td>\n",
              "      <td>MJ McClenaghan,JJ Bumrah,R Vinay Kumar,S Gopal...</td>\n",
              "      <td>126.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>980903</td>\n",
              "      <td>Eden Gardens</td>\n",
              "      <td>1</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>Kolkata Knight Riders</td>\n",
              "      <td>MA Agarwal,Q de Kock,SS Iyer,KK Nair,SV Samson...</td>\n",
              "      <td>AD Russell,UT Yadav,JW Hastings,C Munro,GB Hog...</td>\n",
              "      <td>98.0</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>300</th>\n",
              "      <td>980903</td>\n",
              "      <td>Eden Gardens</td>\n",
              "      <td>2</td>\n",
              "      <td>Kolkata Knight Riders</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>RV Uthappa,G Gambhir,MK Pandey</td>\n",
              "      <td>NM Coulter-Nile,Z Khan,CH Morris,CR Brathwaite...</td>\n",
              "      <td>99.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>980905</td>\n",
              "      <td>Punjab Cricket Association Stadium, Mohali</td>\n",
              "      <td>1</td>\n",
              "      <td>Punjab Kings</td>\n",
              "      <td>Gujarat Lions</td>\n",
              "      <td>M Vijay,M Vohra,DA Miller,GJ Maxwell,WP Saha,M...</td>\n",
              "      <td>P Kumar,PJ Sangwan,JP Faulkner,S Ladda,RA Jade...</td>\n",
              "      <td>161.0</td>\n",
              "      <td>6.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>595</th>\n",
              "      <td>1237178</td>\n",
              "      <td>Sheikh Zayed Stadium</td>\n",
              "      <td>2</td>\n",
              "      <td>Sunrisers Hyderabad</td>\n",
              "      <td>Royal Challengers Bangalore</td>\n",
              "      <td>DA Warner,SP Goswami,MK Pandey,KS Williamson,P...</td>\n",
              "      <td>Mohammed Siraj,NA Saini,Washington Sundar,A Za...</td>\n",
              "      <td>132.0</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>297</th>\n",
              "      <td>1237180</td>\n",
              "      <td>Sheikh Zayed Stadium</td>\n",
              "      <td>1</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>Sunrisers Hyderabad</td>\n",
              "      <td>MP Stoinis,S Dhawan,SS Iyer,SO Hetmyer,RR Pant</td>\n",
              "      <td>Sandeep Sharma,JO Holder,S Nadeem,Rashid Khan,...</td>\n",
              "      <td>189.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>596</th>\n",
              "      <td>1237180</td>\n",
              "      <td>Sheikh Zayed Stadium</td>\n",
              "      <td>2</td>\n",
              "      <td>Sunrisers Hyderabad</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>PK Garg,DA Warner,MK Pandey,KS Williamson,JO H...</td>\n",
              "      <td>R Ashwin,K Rabada,A Nortje,MP Stoinis,AR Patel...</td>\n",
              "      <td>172.0</td>\n",
              "      <td>8.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>298</th>\n",
              "      <td>1237181</td>\n",
              "      <td>Dubai International Cricket Stadium</td>\n",
              "      <td>1</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>MP Stoinis,AM Rahane,S Dhawan,SS Iyer,RR Pant,...</td>\n",
              "      <td>TA Boult,JJ Bumrah,J Yadav,NM Coulter-Nile,KH ...</td>\n",
              "      <td>156.0</td>\n",
              "      <td>7.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>597</th>\n",
              "      <td>1237181</td>\n",
              "      <td>Dubai International Cricket Stadium</td>\n",
              "      <td>2</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>RG Sharma,Q de Kock,SA Yadav,Ishan Kishan,KA P...</td>\n",
              "      <td>R Ashwin,K Rabada,A Nortje,MP Stoinis,AR Patel...</td>\n",
              "      <td>157.0</td>\n",
              "      <td>5.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>598 rows × 9 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "    match_id                                       venue  ... ppruns ppwickets\n",
              "0     980901                            Wankhede Stadium  ...  121.0       8.0\n",
              "299   980901                            Wankhede Stadium  ...  126.0       1.0\n",
              "1     980903                                Eden Gardens  ...   98.0      10.0\n",
              "300   980903                                Eden Gardens  ...   99.0       1.0\n",
              "2     980905  Punjab Cricket Association Stadium, Mohali  ...  161.0       6.0\n",
              "..       ...                                         ...  ...    ...       ...\n",
              "595  1237178                        Sheikh Zayed Stadium  ...  132.0       4.0\n",
              "297  1237180                        Sheikh Zayed Stadium  ...  189.0       3.0\n",
              "596  1237180                        Sheikh Zayed Stadium  ...  172.0       8.0\n",
              "298  1237181         Dubai International Cricket Stadium  ...  156.0       7.0\n",
              "597  1237181         Dubai International Cricket Stadium  ...  157.0       5.0\n",
              "\n",
              "[598 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ChqViamJxMfz"
      },
      "source": [
        "# Player Index\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j74CsuPBxQqp"
      },
      "source": [
        "indexdata = df[(df['innings'] < 3)]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SjlSCJshjM-a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bb205eca-1d3f-4d6c-f73c-d8ab156f86ce"
      },
      "source": [
        "indexdata['season'].unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['2016', '2017', '2019', '2018', '2020'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "du6Evr24knxB"
      },
      "source": [
        "season_list = list(df['season'].unique())"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H_-6fA-4lPhZ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dfec5d6f-4f5c-4e83-ecfa-d4e72e4d89b7"
      },
      "source": [
        "df['season'].unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['2016', '2017', '2019', '2018', '2020'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GJPdqnNLlPEc"
      },
      "source": [
        ""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ThMiGmHKliMf",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "5a590afc-c5be-4b7e-d3f1-588cb8e5d279"
      },
      "source": [
        "df['season'].unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['2016', '2017', '2019', '2018', '2020'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "crSa4K19kpN3",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0fac767b-56df-403b-e4c3-bf8b71e728c1"
      },
      "source": [
        "season_list"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['2016', '2017', '2019', '2018', '2020']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jbjIfs-Vj5vt",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "37447128-aef4-4a1f-ce01-e23d7a9ef878"
      },
      "source": [
        "season_list = list(df['season'].unique())\n",
        "for season in season_list:\n",
        "  print(season,'---',len(df[df['season']==season]['match_id'].unique()))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2016 --- 60\n",
            "2017 --- 59\n",
            "2019 --- 60\n",
            "2018 --- 60\n",
            "2020 --- 60\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JNuvJezp48fe"
      },
      "source": [
        "indexdata19to20 = indexdata[(indexdata['season'] == '2016') | (indexdata['season'] == '2017') | (indexdata['season'] == '2018') | (indexdata['season'] == '2019') | (indexdata['season'] == '2020')]\n",
        "indexdata19to20 = indexdata19to20[(indexdata19to20['innings'] < 3)]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ekAJtSLqGV5P"
      },
      "source": [
        "## Venue Stats"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VdJFaxLCvKdK",
        "outputId": "bc1dc574-37af-438b-ee18-baff28a507a0"
      },
      "source": [
        "indexdata19to20.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(71034, 19)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "15mHqCa75xnh"
      },
      "source": [
        "### All seasons"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lSJfHJwR3wmL",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ea836f35-735b-47c0-f5e5-f9bbae15e11f"
      },
      "source": [
        "venuedata = pd.DataFrame(columns=['venue','runs','wickets','matches','balls','index1','index2'])\n",
        "venue_list = list(indexdata['venue'].unique())\n",
        "for venue in venue_list:  #innings diff\n",
        "  venue_runs = indexdata[(indexdata['venue'] == venue) ]['runs_off_bat'].sum() + indexdata[(indexdata['venue'] == venue) ]['extras'].sum()\n",
        "  venue_runs_1 = indexdata[(indexdata['venue'] == venue) & (indexdata['innings']==1)]['runs_off_bat'].sum() + indexdata[(indexdata['venue'] == venue) & (indexdata['innings']==1)]['extras'].sum()\n",
        "  venue_runs_2 = indexdata[(indexdata['venue'] == venue) & (indexdata['innings']==2)]['runs_off_bat'].sum() + indexdata[(indexdata['venue'] == venue) & (indexdata['innings']==2)]['extras'].sum()\n",
        "  venue_wicket = len(indexdata[(indexdata['venue'] == venue) & (indexdata['player_dismissed'] != 'notout')])\n",
        "  balls = len(indexdata[indexdata['venue'] == venue])\n",
        "  matches = len(indexdata[indexdata['venue'] == venue]['match_id'].unique())\n",
        "  print(venue,\"\\n\\tRuns : \",venue_runs,'runs',venue_runs,'runs_1',venue_runs_1,'runs_2',venue_runs_2,\"\\tWickets : \",venue_wicket,\"\\tBalls played\",balls,\"\\tMatches played : \",matches,'\\nIndex1 : ',venue_runs_1/(matches),'\\nIndex2 : ',venue_runs_2/(matches))\n",
        "  venuedata = venuedata.append({'venue':venue,'runs':venue_runs,'wickets':venue_wicket,'matches':matches,'balls':balls,'index1':venue_runs_1/(matches),'index2':venue_runs_2/(matches)}, ignore_index=True)\n",
        "  print()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Wankhede Stadium \n",
            "\tRuns :  14873 runs 14873 runs_1 7631 runs_2 7242 \tWickets :  522 \tBalls played 10908 \tMatches played :  45 \n",
            "Index1 :  169.57777777777778 \n",
            "Index2 :  160.93333333333334\n",
            "\n",
            "Eden Gardens \n",
            "\tRuns :  9803 runs 9803 runs_1 5147 runs_2 4656 \tWickets :  347 \tBalls played 6963 \tMatches played :  30 \n",
            "Index1 :  171.56666666666666 \n",
            "Index2 :  155.2\n",
            "\n",
            "Punjab Cricket Association Stadium, Mohali \n",
            "\tRuns :  7021 runs 7021 runs_1 3561 runs_2 3460 \tWickets :  219 \tBalls played 5003 \tMatches played :  21 \n",
            "Index1 :  169.57142857142858 \n",
            "Index2 :  164.76190476190476\n",
            "\n",
            "M Chinnaswamy Stadium \n",
            "\tRuns :  10210 runs 10210 runs_1 5347 runs_2 4863 \tWickets :  373 \tBalls played 7166 \tMatches played :  31 \n",
            "Index1 :  172.48387096774192 \n",
            "Index2 :  156.8709677419355\n",
            "\n",
            "Saurashtra Cricket Association Stadium \n",
            "\tRuns :  3316 runs 3316 runs_1 1689 runs_2 1627 \tWickets :  107 \tBalls played 2368 \tMatches played :  10 \n",
            "Index1 :  168.9 \n",
            "Index2 :  162.7\n",
            "\n",
            "Arun Jaitley Stadium \n",
            "\tRuns :  9088 runs 9088 runs_1 4765 runs_2 4323 \tWickets :  348 \tBalls played 6694 \tMatches played :  28 \n",
            "Index1 :  170.17857142857142 \n",
            "Index2 :  154.39285714285714\n",
            "\n",
            "Rajiv Gandhi International Stadium \n",
            "\tRuns :  9154 runs 9154 runs_1 4766 runs_2 4388 \tWickets :  361 \tBalls played 7176 \tMatches played :  30 \n",
            "Index1 :  158.86666666666667 \n",
            "Index2 :  146.26666666666668\n",
            "\n",
            "Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket Stadium \n",
            "\tRuns :  2289 runs 2289 runs_1 1246 runs_2 1043 \tWickets :  104 \tBalls played 1869 \tMatches played :  8 \n",
            "Index1 :  155.75 \n",
            "Index2 :  130.375\n",
            "\n",
            "Green Park \n",
            "\tRuns :  1298 runs 1298 runs_1 645 runs_2 653 \tWickets :  49 \tBalls played 921 \tMatches played :  4 \n",
            "Index1 :  161.25 \n",
            "Index2 :  163.25\n",
            "\n",
            "Shaheed Veer Narayan Singh International Stadium \n",
            "\tRuns :  596 runs 596 runs_1 296 runs_2 300 \tWickets :  23 \tBalls played 483 \tMatches played :  2 \n",
            "Index1 :  148.0 \n",
            "Index2 :  150.0\n",
            "\n",
            "Holkar Cricket Stadium \n",
            "\tRuns :  2318 runs 2318 runs_1 1168 runs_2 1150 \tWickets :  69 \tBalls played 1557 \tMatches played :  7 \n",
            "Index1 :  166.85714285714286 \n",
            "Index2 :  164.28571428571428\n",
            "\n",
            "MA Chidambaram Stadium \n",
            "\tRuns :  2563 runs 2563 runs_1 1355 runs_2 1208 \tWickets :  100 \tBalls played 2130 \tMatches played :  9 \n",
            "Index1 :  150.55555555555554 \n",
            "Index2 :  134.22222222222223\n",
            "\n",
            "Sawai Mansingh Stadium \n",
            "\tRuns :  4403 runs 4403 runs_1 2273 runs_2 2130 \tWickets :  156 \tBalls played 3286 \tMatches played :  14 \n",
            "Index1 :  162.35714285714286 \n",
            "Index2 :  152.14285714285714\n",
            "\n",
            "Sheikh Zayed Stadium \n",
            "\tRuns :  6919 runs 6919 runs_1 3575 runs_2 3344 \tWickets :  231 \tBalls played 5294 \tMatches played :  22 \n",
            "Index1 :  162.5 \n",
            "Index2 :  152.0\n",
            "\n",
            "Dubai International Cricket Stadium \n",
            "\tRuns :  8338 runs 8338 runs_1 4460 runs_2 3878 \tWickets :  306 \tBalls played 6338 \tMatches played :  26 \n",
            "Index1 :  171.53846153846155 \n",
            "Index2 :  149.15384615384616\n",
            "\n",
            "Sharjah Cricket Stadium \n",
            "\tRuns :  4095 runs 4095 runs_1 2135 runs_2 1960 \tWickets :  131 \tBalls played 2878 \tMatches played :  12 \n",
            "Index1 :  177.91666666666666 \n",
            "Index2 :  163.33333333333334\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Q9NCBFIgyl-w",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3f218347-1ad5-42d0-c443-9547dea27a51"
      },
      "source": [
        "venuedata"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>venue</th>\n",
              "      <th>runs</th>\n",
              "      <th>wickets</th>\n",
              "      <th>matches</th>\n",
              "      <th>balls</th>\n",
              "      <th>index1</th>\n",
              "      <th>index2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Wankhede Stadium</td>\n",
              "      <td>14873</td>\n",
              "      <td>522</td>\n",
              "      <td>45</td>\n",
              "      <td>10908</td>\n",
              "      <td>169.577778</td>\n",
              "      <td>160.933333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Eden Gardens</td>\n",
              "      <td>9803</td>\n",
              "      <td>347</td>\n",
              "      <td>30</td>\n",
              "      <td>6963</td>\n",
              "      <td>171.566667</td>\n",
              "      <td>155.200000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Punjab Cricket Association Stadium, Mohali</td>\n",
              "      <td>7021</td>\n",
              "      <td>219</td>\n",
              "      <td>21</td>\n",
              "      <td>5003</td>\n",
              "      <td>169.571429</td>\n",
              "      <td>164.761905</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>M Chinnaswamy Stadium</td>\n",
              "      <td>10210</td>\n",
              "      <td>373</td>\n",
              "      <td>31</td>\n",
              "      <td>7166</td>\n",
              "      <td>172.483871</td>\n",
              "      <td>156.870968</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Saurashtra Cricket Association Stadium</td>\n",
              "      <td>3316</td>\n",
              "      <td>107</td>\n",
              "      <td>10</td>\n",
              "      <td>2368</td>\n",
              "      <td>168.900000</td>\n",
              "      <td>162.700000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Arun Jaitley Stadium</td>\n",
              "      <td>9088</td>\n",
              "      <td>348</td>\n",
              "      <td>28</td>\n",
              "      <td>6694</td>\n",
              "      <td>170.178571</td>\n",
              "      <td>154.392857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Rajiv Gandhi International Stadium</td>\n",
              "      <td>9154</td>\n",
              "      <td>361</td>\n",
              "      <td>30</td>\n",
              "      <td>7176</td>\n",
              "      <td>158.866667</td>\n",
              "      <td>146.266667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...</td>\n",
              "      <td>2289</td>\n",
              "      <td>104</td>\n",
              "      <td>8</td>\n",
              "      <td>1869</td>\n",
              "      <td>155.750000</td>\n",
              "      <td>130.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Green Park</td>\n",
              "      <td>1298</td>\n",
              "      <td>49</td>\n",
              "      <td>4</td>\n",
              "      <td>921</td>\n",
              "      <td>161.250000</td>\n",
              "      <td>163.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Shaheed Veer Narayan Singh International Stadium</td>\n",
              "      <td>596</td>\n",
              "      <td>23</td>\n",
              "      <td>2</td>\n",
              "      <td>483</td>\n",
              "      <td>148.000000</td>\n",
              "      <td>150.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Holkar Cricket Stadium</td>\n",
              "      <td>2318</td>\n",
              "      <td>69</td>\n",
              "      <td>7</td>\n",
              "      <td>1557</td>\n",
              "      <td>166.857143</td>\n",
              "      <td>164.285714</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>MA Chidambaram Stadium</td>\n",
              "      <td>2563</td>\n",
              "      <td>100</td>\n",
              "      <td>9</td>\n",
              "      <td>2130</td>\n",
              "      <td>150.555556</td>\n",
              "      <td>134.222222</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Sawai Mansingh Stadium</td>\n",
              "      <td>4403</td>\n",
              "      <td>156</td>\n",
              "      <td>14</td>\n",
              "      <td>3286</td>\n",
              "      <td>162.357143</td>\n",
              "      <td>152.142857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Sheikh Zayed Stadium</td>\n",
              "      <td>6919</td>\n",
              "      <td>231</td>\n",
              "      <td>22</td>\n",
              "      <td>5294</td>\n",
              "      <td>162.500000</td>\n",
              "      <td>152.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Dubai International Cricket Stadium</td>\n",
              "      <td>8338</td>\n",
              "      <td>306</td>\n",
              "      <td>26</td>\n",
              "      <td>6338</td>\n",
              "      <td>171.538462</td>\n",
              "      <td>149.153846</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Sharjah Cricket Stadium</td>\n",
              "      <td>4095</td>\n",
              "      <td>131</td>\n",
              "      <td>12</td>\n",
              "      <td>2878</td>\n",
              "      <td>177.916667</td>\n",
              "      <td>163.333333</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                venue  ...      index2\n",
              "0                                    Wankhede Stadium  ...  160.933333\n",
              "1                                        Eden Gardens  ...  155.200000\n",
              "2          Punjab Cricket Association Stadium, Mohali  ...  164.761905\n",
              "3                               M Chinnaswamy Stadium  ...  156.870968\n",
              "4              Saurashtra Cricket Association Stadium  ...  162.700000\n",
              "5                                Arun Jaitley Stadium  ...  154.392857\n",
              "6                  Rajiv Gandhi International Stadium  ...  146.266667\n",
              "7   Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...  ...  130.375000\n",
              "8                                          Green Park  ...  163.250000\n",
              "9    Shaheed Veer Narayan Singh International Stadium  ...  150.000000\n",
              "10                             Holkar Cricket Stadium  ...  164.285714\n",
              "11                             MA Chidambaram Stadium  ...  134.222222\n",
              "12                             Sawai Mansingh Stadium  ...  152.142857\n",
              "13                               Sheikh Zayed Stadium  ...  152.000000\n",
              "14                Dubai International Cricket Stadium  ...  149.153846\n",
              "15                            Sharjah Cricket Stadium  ...  163.333333\n",
              "\n",
              "[16 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KCSeN7DdYGny",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "987700c8-4b8b-4fd5-ce74-c60cc431b4de"
      },
      "source": [
        "indexdata['innings'].value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1    36808\n",
              "2    34226\n",
              "Name: innings, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CVmLKG0q6FR7"
      },
      "source": [
        "### Venue wise stats for from 2019\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OALEX84m6Vi4"
      },
      "source": [
        "venue_list = list(indexdata19to20['venue'].unique())"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Zkf-XKTsPX4C",
        "outputId": "b4209d7b-769a-497a-851a-fb27450db431"
      },
      "source": [
        "len(indexdata19to20['match_id'].unique())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "299"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DOaLcrzP6McK",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b4d3ec6b-b6dc-4b0d-94fb-4b6f1c2d8c60"
      },
      "source": [
        "for venue in venue_list:  #innings diff\n",
        "  venue_runs = indexdata19to20[indexdata19to20['venue'] == venue]['runs_off_bat'].sum() + indexdata19to20[(indexdata19to20['venue'] == venue) ]['extras'].sum()\n",
        "  venue_runs_1 = indexdata19to20[(indexdata19to20['venue'] == venue) & (indexdata19to20['innings'] == 1)]['runs_off_bat'].sum() + indexdata19to20[(indexdata19to20['venue'] == venue) & (indexdata19to20['innings'] == 1)]['extras'].sum()\n",
        "  venue_runs_2 = indexdata19to20[(indexdata19to20['venue'] == venue) & (indexdata19to20['innings'] == 2)]['runs_off_bat'].sum() + indexdata19to20[(indexdata19to20['venue'] == venue) & (indexdata19to20['innings'] == 2)]['extras'].sum()\n",
        "  venue_wicket = len(indexdata19to20[(indexdata19to20['venue'] == venue) & (indexdata19to20['player_dismissed'] != 'notout')])\n",
        "  balls = len(indexdata19to20[indexdata19to20['venue'] == venue])\n",
        "  matches = len(indexdata19to20[indexdata19to20['venue'] == venue]['match_id'].unique())\n",
        "  print(venue,\"\\n\\tRuns : \",venue_runs,\"\\n\\tRuns_1 : \",venue_runs_1,\"\\n\\tRuns_2 : \",venue_runs_2,\"\\tWickets : \",venue_wicket,\"\\tBalls played\",balls,\"\\tMatches played : \",matches,'\\nIndex : ',venue_runs/math.ceil(balls/6))\n",
        "  print()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Wankhede Stadium \n",
            "\tRuns :  14873 \n",
            "\tRuns_1 :  7631 \n",
            "\tRuns_2 :  7242 \tWickets :  522 \tBalls played 10908 \tMatches played :  45 \n",
            "Index :  8.18096809680968\n",
            "\n",
            "Eden Gardens \n",
            "\tRuns :  9803 \n",
            "\tRuns_1 :  5147 \n",
            "\tRuns_2 :  4656 \tWickets :  347 \tBalls played 6963 \tMatches played :  30 \n",
            "Index :  8.443583118001722\n",
            "\n",
            "Punjab Cricket Association Stadium, Mohali \n",
            "\tRuns :  7021 \n",
            "\tRuns_1 :  3561 \n",
            "\tRuns_2 :  3460 \tWickets :  219 \tBalls played 5003 \tMatches played :  21 \n",
            "Index :  8.418465227817746\n",
            "\n",
            "M Chinnaswamy Stadium \n",
            "\tRuns :  10210 \n",
            "\tRuns_1 :  5347 \n",
            "\tRuns_2 :  4863 \tWickets :  373 \tBalls played 7166 \tMatches played :  31 \n",
            "Index :  8.543933054393305\n",
            "\n",
            "Saurashtra Cricket Association Stadium \n",
            "\tRuns :  3316 \n",
            "\tRuns_1 :  1689 \n",
            "\tRuns_2 :  1627 \tWickets :  107 \tBalls played 2368 \tMatches played :  10 \n",
            "Index :  8.39493670886076\n",
            "\n",
            "Arun Jaitley Stadium \n",
            "\tRuns :  9088 \n",
            "\tRuns_1 :  4765 \n",
            "\tRuns_2 :  4323 \tWickets :  348 \tBalls played 6694 \tMatches played :  28 \n",
            "Index :  8.14336917562724\n",
            "\n",
            "Rajiv Gandhi International Stadium \n",
            "\tRuns :  9154 \n",
            "\tRuns_1 :  4766 \n",
            "\tRuns_2 :  4388 \tWickets :  361 \tBalls played 7176 \tMatches played :  30 \n",
            "Index :  7.653846153846154\n",
            "\n",
            "Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket Stadium \n",
            "\tRuns :  2289 \n",
            "\tRuns_1 :  1246 \n",
            "\tRuns_2 :  1043 \tWickets :  104 \tBalls played 1869 \tMatches played :  8 \n",
            "Index :  7.336538461538462\n",
            "\n",
            "Green Park \n",
            "\tRuns :  1298 \n",
            "\tRuns_1 :  645 \n",
            "\tRuns_2 :  653 \tWickets :  49 \tBalls played 921 \tMatches played :  4 \n",
            "Index :  8.428571428571429\n",
            "\n",
            "Shaheed Veer Narayan Singh International Stadium \n",
            "\tRuns :  596 \n",
            "\tRuns_1 :  296 \n",
            "\tRuns_2 :  300 \tWickets :  23 \tBalls played 483 \tMatches played :  2 \n",
            "Index :  7.3580246913580245\n",
            "\n",
            "Holkar Cricket Stadium \n",
            "\tRuns :  2318 \n",
            "\tRuns_1 :  1168 \n",
            "\tRuns_2 :  1150 \tWickets :  69 \tBalls played 1557 \tMatches played :  7 \n",
            "Index :  8.915384615384616\n",
            "\n",
            "MA Chidambaram Stadium \n",
            "\tRuns :  2563 \n",
            "\tRuns_1 :  1355 \n",
            "\tRuns_2 :  1208 \tWickets :  100 \tBalls played 2130 \tMatches played :  9 \n",
            "Index :  7.219718309859155\n",
            "\n",
            "Sawai Mansingh Stadium \n",
            "\tRuns :  4403 \n",
            "\tRuns_1 :  2273 \n",
            "\tRuns_2 :  2130 \tWickets :  156 \tBalls played 3286 \tMatches played :  14 \n",
            "Index :  8.034671532846716\n",
            "\n",
            "Sheikh Zayed Stadium \n",
            "\tRuns :  6919 \n",
            "\tRuns_1 :  3575 \n",
            "\tRuns_2 :  3344 \tWickets :  231 \tBalls played 5294 \tMatches played :  22 \n",
            "Index :  7.835787089467724\n",
            "\n",
            "Dubai International Cricket Stadium \n",
            "\tRuns :  8338 \n",
            "\tRuns_1 :  4460 \n",
            "\tRuns_2 :  3878 \tWickets :  306 \tBalls played 6338 \tMatches played :  26 \n",
            "Index :  7.888363292336802\n",
            "\n",
            "Sharjah Cricket Stadium \n",
            "\tRuns :  4095 \n",
            "\tRuns_1 :  2135 \n",
            "\tRuns_2 :  1960 \tWickets :  131 \tBalls played 2878 \tMatches played :  12 \n",
            "Index :  8.53125\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TZ3CfditMZWC"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eVKkgrNfGc8l"
      },
      "source": [
        "## Team Stats"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QYIB8N2d55rN"
      },
      "source": [
        "### All seasons\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "L7WobRqOItyr",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9dcb587b-4a0a-49cc-c7fe-463160a23b37"
      },
      "source": [
        "teamdata = pd.DataFrame(columns=['team','runs','wickets','matches','matches_1','matches_2','balls','batindex_1','batindex_2','bowlindex_1','bowlindex_2'])\n",
        "team_list = list(indexdata['batting_team'].unique())\n",
        "for team in team_list:\n",
        "  team_runs = indexdata[indexdata['batting_team'] == team]['runs_off_bat'].sum() +  indexdata[indexdata['batting_team'] == team]['extras'].sum()\n",
        "  team_runs_1 = indexdata[(indexdata['batting_team'] == team) & (indexdata['innings']==1)]['runs_off_bat'].sum() +  indexdata[indexdata['batting_team'] == team]['extras'].sum()\n",
        "  team_runs_2 = indexdata[(indexdata['batting_team'] == team) & (indexdata['innings']==2)]['runs_off_bat'].sum() +  indexdata[indexdata['batting_team'] == team]['extras'].sum()\n",
        "\n",
        "  team_wicket = len(indexdata[(indexdata['batting_team'] == team) & (indexdata['player_dismissed'] != 'notout')])\n",
        "  team_wicket_1 = len(indexdata[(indexdata['batting_team'] == team) & (indexdata['innings']==1) & (indexdata['player_dismissed'] != 'notout')])\n",
        "  team_wicket_2 = len(indexdata[(indexdata['batting_team'] == team) & (indexdata['innings']==2) & (indexdata['player_dismissed'] != 'notout')])\n",
        "  balls = len(indexdata[(indexdata['batting_team'] == team)])\n",
        "  balls_1 = len(indexdata[(indexdata['batting_team'] == team) & (indexdata['innings']==1)])\n",
        "  balls_2 = len(indexdata[(indexdata['batting_team'] == team) & (indexdata['innings']==2)])\n",
        "  \n",
        "  matches = len(indexdata[(indexdata['batting_team'] == team) ]['match_id'].unique())\n",
        "  matches_1 = len(indexdata[(indexdata['batting_team'] == team) & (indexdata['innings']==1)]['match_id'].unique())\n",
        "  matches_2 = len(indexdata[(indexdata['batting_team'] == team) & (indexdata['innings']==2)]['match_id'].unique())\n",
        "\n",
        "  print(team,\"\\n\\tRuns : \",team_runs,\"\\tWickets : \",team_wicket,\"\\tBalls played\",balls,\"\\tMatches played 1 : \",matches_1,\"\\tMatches played 2 : \",matches_2,'\\nBatIndex1 : ',team_runs_1/(matches_1),'\\nBatIndex2 : ',team_runs_2/(matches_2),'\\nBowlIndex1 : ',balls_1/team_wicket_1,'\\nBowlIndex2 : ',balls_2/team_wicket_2)\n",
        "  teamdata = teamdata.append({'team':team,'runs':team_runs,'wickets':team_wicket,'matches':matches,'matches_1':matches_1,'matches_2':matches_2,'balls':balls,'batindex_1':team_runs_1/(matches_1),'batindex_2':team_runs_2/(matches_2),'bowlindex_1':balls_1/team_wicket_1,'bowlindex_2':balls_2/team_wicket_2}, ignore_index=True)\n",
        "  print()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mumbai Indians \n",
            "\tRuns :  12759 \tWickets :  445 \tBalls played 9250 \tMatches played 1 :  41 \tMatches played 2 :  36 \n",
            "BatIndex1 :  177.5609756097561 \n",
            "BatIndex2 :  168.72222222222223 \n",
            "BowlIndex1 :  20.10236220472441 \n",
            "BowlIndex2 :  21.69633507853403\n",
            "\n",
            "Rising Pune Supergiants \n",
            "\tRuns :  4533 \tWickets :  158 \tBalls played 3480 \tMatches played 1 :  15 \tMatches played 2 :  15 \n",
            "BatIndex1 :  168.53333333333333 \n",
            "BatIndex2 :  147.06666666666666 \n",
            "BowlIndex1 :  21.68235294117647 \n",
            "BowlIndex2 :  22.424657534246574\n",
            "\n",
            "Delhi Capitals \n",
            "\tRuns :  11962 \tWickets :  461 \tBalls played 8904 \tMatches played 1 :  38 \tMatches played 2 :  37 \n",
            "BatIndex1 :  172.28947368421052 \n",
            "BatIndex2 :  160.1891891891892 \n",
            "BowlIndex1 :  20.142241379310345 \n",
            "BowlIndex2 :  18.475982532751093\n",
            "\n",
            "Kolkata Knight Riders \n",
            "\tRuns :  12191 \tWickets :  442 \tBalls played 8800 \tMatches played 1 :  38 \tMatches played 2 :  37 \n",
            "BatIndex1 :  176.5 \n",
            "BatIndex2 :  163.72972972972974 \n",
            "BowlIndex1 :  18.733067729083665 \n",
            "BowlIndex2 :  21.455497382198953\n",
            "\n",
            "Punjab Kings \n",
            "\tRuns :  11315 \tWickets :  413 \tBalls played 8303 \tMatches played 1 :  36 \tMatches played 2 :  34 \n",
            "BatIndex1 :  172.58333333333334 \n",
            "BatIndex2 :  163.97058823529412 \n",
            "BowlIndex1 :  19.674107142857142 \n",
            "BowlIndex2 :  20.613756613756614\n",
            "\n",
            "Gujarat Lions \n",
            "\tRuns :  4856 \tWickets :  188 \tBalls played 3558 \tMatches played 1 :  14 \tMatches played 2 :  16 \n",
            "BatIndex1 :  171.64285714285714 \n",
            "BatIndex2 :  167.625 \n",
            "BowlIndex1 :  17.26 \n",
            "BowlIndex2 :  20.818181818181817\n",
            "\n",
            "Royal Challengers Bangalore \n",
            "\tRuns :  11634 \tWickets :  417 \tBalls played 8491 \tMatches played 1 :  43 \tMatches played 2 :  29 \n",
            "BatIndex1 :  173.46511627906978 \n",
            "BatIndex2 :  160.6551724137931 \n",
            "BowlIndex1 :  21.497925311203318 \n",
            "BowlIndex2 :  18.806818181818183\n",
            "\n",
            "Sunrisers Hyderabad \n",
            "\tRuns :  12722 \tWickets :  425 \tBalls played 9488 \tMatches played 1 :  41 \tMatches played 2 :  38 \n",
            "BatIndex1 :  175.46341463414635 \n",
            "BatIndex2 :  160.5 \n",
            "BowlIndex1 :  21.752136752136753 \n",
            "BowlIndex2 :  23.026178010471206\n",
            "\n",
            "Chennai Super Kings \n",
            "\tRuns :  7473 \tWickets :  232 \tBalls played 5706 \tMatches played 1 :  16 \tMatches played 2 :  31 \n",
            "BatIndex1 :  180.1875 \n",
            "BatIndex2 :  158.83870967741936 \n",
            "BowlIndex1 :  26.17105263157895 \n",
            "BowlIndex2 :  23.826923076923077\n",
            "\n",
            "Rajasthan Royals \n",
            "\tRuns :  6839 \tWickets :  265 \tBalls played 5054 \tMatches played 1 :  17 \tMatches played 2 :  26 \n",
            "BatIndex1 :  171.7058823529412 \n",
            "BatIndex2 :  160.8846153846154 \n",
            "BowlIndex1 :  19.009090909090908 \n",
            "BowlIndex2 :  19.116129032258065\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yC0j80Rmxxj1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        },
        "outputId": "684fad5f-8655-49fa-ecef-25f7d7af3e04"
      },
      "source": [
        "teamdata"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>team</th>\n",
              "      <th>runs</th>\n",
              "      <th>wickets</th>\n",
              "      <th>matches</th>\n",
              "      <th>matches_1</th>\n",
              "      <th>matches_2</th>\n",
              "      <th>balls</th>\n",
              "      <th>batindex_1</th>\n",
              "      <th>batindex_2</th>\n",
              "      <th>bowlindex_1</th>\n",
              "      <th>bowlindex_2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>12759</td>\n",
              "      <td>445</td>\n",
              "      <td>77</td>\n",
              "      <td>41</td>\n",
              "      <td>36</td>\n",
              "      <td>9250</td>\n",
              "      <td>177.560976</td>\n",
              "      <td>168.722222</td>\n",
              "      <td>20.102362</td>\n",
              "      <td>21.696335</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Rising Pune Supergiants</td>\n",
              "      <td>4533</td>\n",
              "      <td>158</td>\n",
              "      <td>30</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>3480</td>\n",
              "      <td>168.533333</td>\n",
              "      <td>147.066667</td>\n",
              "      <td>21.682353</td>\n",
              "      <td>22.424658</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>11962</td>\n",
              "      <td>461</td>\n",
              "      <td>75</td>\n",
              "      <td>38</td>\n",
              "      <td>37</td>\n",
              "      <td>8904</td>\n",
              "      <td>172.289474</td>\n",
              "      <td>160.189189</td>\n",
              "      <td>20.142241</td>\n",
              "      <td>18.475983</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Kolkata Knight Riders</td>\n",
              "      <td>12191</td>\n",
              "      <td>442</td>\n",
              "      <td>75</td>\n",
              "      <td>38</td>\n",
              "      <td>37</td>\n",
              "      <td>8800</td>\n",
              "      <td>176.500000</td>\n",
              "      <td>163.729730</td>\n",
              "      <td>18.733068</td>\n",
              "      <td>21.455497</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Punjab Kings</td>\n",
              "      <td>11315</td>\n",
              "      <td>413</td>\n",
              "      <td>70</td>\n",
              "      <td>36</td>\n",
              "      <td>34</td>\n",
              "      <td>8303</td>\n",
              "      <td>172.583333</td>\n",
              "      <td>163.970588</td>\n",
              "      <td>19.674107</td>\n",
              "      <td>20.613757</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Gujarat Lions</td>\n",
              "      <td>4856</td>\n",
              "      <td>188</td>\n",
              "      <td>30</td>\n",
              "      <td>14</td>\n",
              "      <td>16</td>\n",
              "      <td>3558</td>\n",
              "      <td>171.642857</td>\n",
              "      <td>167.625000</td>\n",
              "      <td>17.260000</td>\n",
              "      <td>20.818182</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Royal Challengers Bangalore</td>\n",
              "      <td>11634</td>\n",
              "      <td>417</td>\n",
              "      <td>72</td>\n",
              "      <td>43</td>\n",
              "      <td>29</td>\n",
              "      <td>8491</td>\n",
              "      <td>173.465116</td>\n",
              "      <td>160.655172</td>\n",
              "      <td>21.497925</td>\n",
              "      <td>18.806818</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Sunrisers Hyderabad</td>\n",
              "      <td>12722</td>\n",
              "      <td>425</td>\n",
              "      <td>79</td>\n",
              "      <td>41</td>\n",
              "      <td>38</td>\n",
              "      <td>9488</td>\n",
              "      <td>175.463415</td>\n",
              "      <td>160.500000</td>\n",
              "      <td>21.752137</td>\n",
              "      <td>23.026178</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Chennai Super Kings</td>\n",
              "      <td>7473</td>\n",
              "      <td>232</td>\n",
              "      <td>47</td>\n",
              "      <td>16</td>\n",
              "      <td>31</td>\n",
              "      <td>5706</td>\n",
              "      <td>180.187500</td>\n",
              "      <td>158.838710</td>\n",
              "      <td>26.171053</td>\n",
              "      <td>23.826923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Rajasthan Royals</td>\n",
              "      <td>6839</td>\n",
              "      <td>265</td>\n",
              "      <td>43</td>\n",
              "      <td>17</td>\n",
              "      <td>26</td>\n",
              "      <td>5054</td>\n",
              "      <td>171.705882</td>\n",
              "      <td>160.884615</td>\n",
              "      <td>19.009091</td>\n",
              "      <td>19.116129</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                          team   runs  ... bowlindex_1 bowlindex_2\n",
              "0               Mumbai Indians  12759  ...   20.102362   21.696335\n",
              "1      Rising Pune Supergiants   4533  ...   21.682353   22.424658\n",
              "2               Delhi Capitals  11962  ...   20.142241   18.475983\n",
              "3        Kolkata Knight Riders  12191  ...   18.733068   21.455497\n",
              "4                 Punjab Kings  11315  ...   19.674107   20.613757\n",
              "5                Gujarat Lions   4856  ...   17.260000   20.818182\n",
              "6  Royal Challengers Bangalore  11634  ...   21.497925   18.806818\n",
              "7          Sunrisers Hyderabad  12722  ...   21.752137   23.026178\n",
              "8          Chennai Super Kings   7473  ...   26.171053   23.826923\n",
              "9             Rajasthan Royals   6839  ...   19.009091   19.116129\n",
              "\n",
              "[10 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "E7dqj2Yf6p97"
      },
      "source": [
        "### Team wise stats from 2019\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kCXqX8TQ6t-W",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "33bccb0a-4e68-4a9f-c4da-4f6e5ff611e9"
      },
      "source": [
        "team_list = list(indexdata19to20['batting_team'].unique())\n",
        "for team in team_list:\n",
        "  team_runs = indexdata19to20[indexdata19to20['batting_team'] == team]['runs_off_bat'].sum() + indexdata19to20[indexdata19to20['batting_team'] == team]['extras'].sum()\n",
        "  team_wicket = len(indexdata19to20[(indexdata19to20['batting_team'] == team) & (indexdata19to20['player_dismissed'] != 'notout')])\n",
        "  balls = len(indexdata19to20[(indexdata19to20['batting_team'] == team)])\n",
        "  matches = len(indexdata19to20[indexdata19to20['batting_team'] == team]['match_id'].unique())\n",
        "  print(team,\"\\n\\tRuns : \",team_runs,\"\\tWickets : \",team_wicket,\"\\tBalls played\",balls,\"\\tMatches played : \",matches,'\\nBatIndex : ',team_runs/matches,'\\nBowlIndex : ',balls/team_wicket)\n",
        "  print()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mumbai Indians \n",
            "\tRuns :  12759 \tWickets :  445 \tBalls played 9250 \tMatches played :  77 \n",
            "BatIndex :  165.7012987012987 \n",
            "BowlIndex :  20.786516853932586\n",
            "\n",
            "Rising Pune Supergiants \n",
            "\tRuns :  4533 \tWickets :  158 \tBalls played 3480 \tMatches played :  30 \n",
            "BatIndex :  151.1 \n",
            "BowlIndex :  22.025316455696203\n",
            "\n",
            "Delhi Capitals \n",
            "\tRuns :  11962 \tWickets :  461 \tBalls played 8904 \tMatches played :  75 \n",
            "BatIndex :  159.49333333333334 \n",
            "BowlIndex :  19.314533622559654\n",
            "\n",
            "Kolkata Knight Riders \n",
            "\tRuns :  12191 \tWickets :  442 \tBalls played 8800 \tMatches played :  75 \n",
            "BatIndex :  162.54666666666665 \n",
            "BowlIndex :  19.90950226244344\n",
            "\n",
            "Punjab Kings \n",
            "\tRuns :  11315 \tWickets :  413 \tBalls played 8303 \tMatches played :  70 \n",
            "BatIndex :  161.64285714285714 \n",
            "BowlIndex :  20.10411622276029\n",
            "\n",
            "Gujarat Lions \n",
            "\tRuns :  4856 \tWickets :  188 \tBalls played 3558 \tMatches played :  30 \n",
            "BatIndex :  161.86666666666667 \n",
            "BowlIndex :  18.925531914893618\n",
            "\n",
            "Royal Challengers Bangalore \n",
            "\tRuns :  11634 \tWickets :  417 \tBalls played 8491 \tMatches played :  72 \n",
            "BatIndex :  161.58333333333334 \n",
            "BowlIndex :  20.362110311750598\n",
            "\n",
            "Sunrisers Hyderabad \n",
            "\tRuns :  12722 \tWickets :  425 \tBalls played 9488 \tMatches played :  79 \n",
            "BatIndex :  161.0379746835443 \n",
            "BowlIndex :  22.32470588235294\n",
            "\n",
            "Chennai Super Kings \n",
            "\tRuns :  7473 \tWickets :  232 \tBalls played 5706 \tMatches played :  47 \n",
            "BatIndex :  159.0 \n",
            "BowlIndex :  24.594827586206897\n",
            "\n",
            "Rajasthan Royals \n",
            "\tRuns :  6839 \tWickets :  265 \tBalls played 5054 \tMatches played :  43 \n",
            "BatIndex :  159.04651162790697 \n",
            "BowlIndex :  19.071698113207546\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "u0Tom55B9V0d"
      },
      "source": [
        "## Player Stats"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "stm2jv2U_Yvs"
      },
      "source": [
        "### All Seasons"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PrFKx6gTuevr"
      },
      "source": [
        "batsmandata = pd.DataFrame(columns=['batsman','runs','matches','balls','strike_1','strike_2','index_1','index_2'])\n",
        "bowlerdata = pd.DataFrame(columns=['bowler','wickets','matches','balls','A1index','A2index'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oLer9ic-9YCE"
      },
      "source": [
        "batsman_list = list(indexdata['striker'].unique())\n",
        "bowler_list = list(indexdata['bowler'].unique())"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UIw6LnB090tI",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0d1bed90-1df0-439a-f1f6-8d09db981205"
      },
      "source": [
        "for batsman in batsman_list:\n",
        "  runs = indexdata[indexdata['striker']==batsman]['runs_off_bat'].sum()\n",
        "  runs_1 = indexdata[(indexdata['striker']==batsman) & (indexdata['innings']==1)]['runs_off_bat'].sum()\n",
        "  runs_2 = indexdata[(indexdata['striker']==batsman) & (indexdata['innings']==2)]['runs_off_bat'].sum()\n",
        "  \n",
        "  matches = len(indexdata[indexdata['striker']==batsman]['match_id'].unique())\n",
        "  matches_1 = len(indexdata[(indexdata['striker']==batsman) & (indexdata['innings']==1)]['match_id'].unique())\n",
        "  matches_2 = len(indexdata[(indexdata['striker']==batsman) & (indexdata['innings']==2)]['match_id'].unique())\n",
        "\n",
        "  balls = len(indexdata[(indexdata['striker']==batsman)])\n",
        "  balls_1 = len(indexdata[(indexdata['striker']==batsman) & (indexdata['innings']==1)])\n",
        "  balls_2 = len(indexdata[(indexdata['striker']==batsman) & (indexdata['innings']==2)])\n",
        "\n",
        "\n",
        "  strike_1 = (runs_1/balls_1)*100\n",
        "  strike_2 = (runs_2/balls_2)*100\n",
        "  index_1 = (runs_1/matches_1)\n",
        "  index_2 = (runs_2/matches_2)\n",
        "  print(batsman,\"\\nRuns : \",runs,'\\tMatches : ',matches,'\\tBalls : ',balls,\"\\nstrike1 : \",strike_1,'\\tstrike_2',strike_2,'\\tindex_1',index_1,'\\tindex_2',index_2)\n",
        "  batsmandata = batsmandata.append({'batsman':batsman,'runs':runs,'matches':matches,'balls':balls,'strike_1':strike_1,'strike_2':strike_2,'index_1':index_1,'index_2':index_2}, ignore_index=True)\n",
        "  print()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "LMP Simmons \n",
            "Runs :  145 \tMatches :  8 \tBalls :  124 \n",
            "strike1 :  111.42857142857143 \tstrike_2 124.07407407407408 \tindex_1 15.6 \tindex_2 22.333333333333332\n",
            "\n",
            "RG Sharma \n",
            "Runs :  1845 \tMatches :  71 \tBalls :  1464 \n",
            "strike1 :  125.33692722371967 \tstrike_2 126.73130193905817 \tindex_1 23.25 \tindex_2 29.516129032258064\n",
            "\n",
            "HH Pandya \n",
            "Runs :  1237 \tMatches :  66 \tBalls :  829 \n",
            "strike1 :  154.43298969072166 \tstrike_2 141.86046511627907 \tindex_1 20.243243243243242 \tindex_2 16.82758620689655\n",
            "\n",
            "JC Buttler \n",
            "Runs :  1714 \tMatches :  57 \tBalls :  1184 \n",
            "strike1 :  128.13953488372093 \tstrike_2 154.24403183023873 \tindex_1 25.045454545454547 \tindex_2 33.22857142857143\n",
            "\n",
            "AT Rayudu \n",
            "Runs :  1668 \tMatches :  61 \tBalls :  1370 \n",
            "strike1 :  130.33268101761252 \tstrike_2 116.64726426076835 \tindex_1 26.64 \tindex_2 27.833333333333332\n",
            "\n",
            "KA Pollard \n",
            "Runs :  1272 \tMatches :  60 \tBalls :  883 \n",
            "strike1 :  136.55913978494624 \tstrike_2 152.39234449760767 \tindex_1 18.676470588235293 \tindex_2 24.5\n",
            "\n",
            "S Gopal \n",
            "Runs :  152 \tMatches :  17 \tBalls :  150 \n",
            "strike1 :  96.15384615384616 \tstrike_2 106.94444444444444 \tindex_1 12.5 \tindex_2 7.0\n",
            "\n",
            "Harbhajan Singh \n",
            "Runs :  138 \tMatches :  18 \tBalls :  149 \n",
            "strike1 :  105.71428571428572 \tstrike_2 81.0126582278481 \tindex_1 10.571428571428571 \tindex_2 5.818181818181818\n",
            "\n",
            "R Vinay Kumar \n",
            "Runs :  19 \tMatches :  3 \tBalls :  16 \n",
            "strike1 :  108.33333333333333 \tstrike_2 150.0 \tindex_1 6.5 \tindex_2 6.0\n",
            "\n",
            "MJ McClenaghan \n",
            "Runs :  72 \tMatches :  17 \tBalls :  67 \n",
            "strike1 :  80.76923076923077 \tstrike_2 124.39024390243902 \tindex_1 2.1 \tindex_2 7.285714285714286\n",
            "\n",
            "AM Rahane \n",
            "Runs :  1738 \tMatches :  65 \tBalls :  1438 \n",
            "strike1 :  120.73863636363636 \tstrike_2 120.98092643051773 \tindex_1 27.419354838709676 \tindex_2 26.11764705882353\n",
            "\n",
            "F du Plessis \n",
            "Runs :  1221 \tMatches :  38 \tBalls :  961 \n",
            "strike1 :  126.21359223300972 \tstrike_2 127.68670309653916 \tindex_1 34.666666666666664 \tindex_2 30.47826086956522\n",
            "\n",
            "KP Pietersen \n",
            "Runs :  73 \tMatches :  4 \tBalls :  61 \n",
            "strike1 :  113.04347826086956 \tstrike_2 140.0 \tindex_1 26.0 \tindex_2 10.5\n",
            "\n",
            "MA Agarwal \n",
            "Runs :  929 \tMatches :  41 \tBalls :  673 \n",
            "strike1 :  139.29824561403507 \tstrike_2 137.11340206185568 \tindex_1 22.055555555555557 \tindex_2 23.130434782608695\n",
            "\n",
            "Q de Kock \n",
            "Runs :  1678 \tMatches :  53 \tBalls :  1273 \n",
            "strike1 :  130.70866141732282 \tstrike_2 132.9153605015674 \tindex_1 29.642857142857142 \tindex_2 33.92\n",
            "\n",
            "SS Iyer \n",
            "Runs :  1761 \tMatches :  64 \tBalls :  1442 \n",
            "strike1 :  123.53643966547192 \tstrike_2 120.16528925619834 \tindex_1 29.542857142857144 \tindex_2 25.06896551724138\n",
            "\n",
            "KK Nair \n",
            "Runs :  960 \tMatches :  41 \tBalls :  778 \n",
            "strike1 :  123.30827067669172 \tstrike_2 123.48284960422164 \tindex_1 24.6 \tindex_2 22.285714285714285\n",
            "\n",
            "SV Samson \n",
            "Runs :  1835 \tMatches :  68 \tBalls :  1345 \n",
            "strike1 :  142.11409395973155 \tstrike_2 131.90921228304407 \tindex_1 31.37037037037037 \tindex_2 24.097560975609756\n",
            "\n",
            "P Negi \n",
            "Runs :  213 \tMatches :  22 \tBalls :  194 \n",
            "strike1 :  114.7887323943662 \tstrike_2 96.15384615384616 \tindex_1 10.866666666666667 \tindex_2 7.142857142857143\n",
            "\n",
            "CR Brathwaite \n",
            "Runs :  181 \tMatches :  14 \tBalls :  120 \n",
            "strike1 :  163.33333333333334 \tstrike_2 113.33333333333333 \tindex_1 14.7 \tindex_2 8.5\n",
            "\n",
            "CH Morris \n",
            "Runs :  461 \tMatches :  29 \tBalls :  296 \n",
            "strike1 :  153.50318471337582 \tstrike_2 158.27338129496403 \tindex_1 14.176470588235293 \tindex_2 18.333333333333332\n",
            "\n",
            "NM Coulter-Nile \n",
            "Runs :  48 \tMatches :  7 \tBalls :  42 \n",
            "strike1 :  114.28571428571428 \tstrike_2 nan \tindex_1 6.857142857142857 \tindex_2 nan\n",
            "\n",
            "A Mishra \n",
            "Runs :  75 \tMatches :  13 \tBalls :  98 \n",
            "strike1 :  78.78787878787878 \tstrike_2 75.38461538461539 \tindex_1 6.5 \tindex_2 5.444444444444445\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Z Khan \n",
            "Runs :  10 \tMatches :  5 \tBalls :  26 \n",
            "strike1 :  44.44444444444444 \tstrike_2 35.294117647058826 \tindex_1 4.0 \tindex_2 1.5\n",
            "\n",
            "RV Uthappa \n",
            "Runs :  1611 \tMatches :  67 \tBalls :  1237 \n",
            "strike1 :  128.51919561243145 \tstrike_2 131.59420289855072 \tindex_1 25.107142857142858 \tindex_2 23.28205128205128\n",
            "\n",
            "G Gambhir \n",
            "Runs :  1084 \tMatches :  36 \tBalls :  920 \n",
            "strike1 :  117.3913043478261 \tstrike_2 118.1159420289855 \tindex_1 28.8 \tindex_2 31.047619047619047\n",
            "\n",
            "MK Pandey \n",
            "Runs :  1697 \tMatches :  62 \tBalls :  1379 \n",
            "strike1 :  127.05718270571826 \tstrike_2 118.7311178247734 \tindex_1 30.366666666666667 \tindex_2 24.5625\n",
            "\n",
            "M Vijay \n",
            "Runs :  561 \tMatches :  20 \tBalls :  489 \n",
            "strike1 :  120.39800995024876 \tstrike_2 110.76388888888889 \tindex_1 26.88888888888889 \tindex_2 29.0\n",
            "\n",
            "M Vohra \n",
            "Runs :  445 \tMatches :  20 \tBalls :  356 \n",
            "strike1 :  118.75 \tstrike_2 132.3170731707317 \tindex_1 22.8 \tindex_2 21.7\n",
            "\n",
            "DA Miller \n",
            "Runs :  531 \tMatches :  30 \tBalls :  461 \n",
            "strike1 :  125.77777777777779 \tstrike_2 105.08474576271188 \tindex_1 18.866666666666667 \tindex_2 16.533333333333335\n",
            "\n",
            "GJ Maxwell \n",
            "Runs :  766 \tMatches :  46 \tBalls :  549 \n",
            "strike1 :  134.71698113207546 \tstrike_2 144.01408450704224 \tindex_1 13.73076923076923 \tindex_2 20.45\n",
            "\n",
            "WP Saha \n",
            "Runs :  926 \tMatches :  42 \tBalls :  730 \n",
            "strike1 :  126.59574468085107 \tstrike_2 127.30769230769229 \tindex_1 23.8 \tindex_2 19.470588235294116\n",
            "\n",
            "MP Stoinis \n",
            "Runs :  825 \tMatches :  42 \tBalls :  623 \n",
            "strike1 :  132.61390887290167 \tstrike_2 132.03883495145632 \tindex_1 19.75 \tindex_2 19.428571428571427\n",
            "\n",
            "AR Patel \n",
            "Runs :  645 \tMatches :  52 \tBalls :  503 \n",
            "strike1 :  127.73722627737227 \tstrike_2 128.82096069868996 \tindex_1 12.068965517241379 \tindex_2 12.826086956521738\n",
            "\n",
            "AJ Finch \n",
            "Runs :  1094 \tMatches :  46 \tBalls :  853 \n",
            "strike1 :  123.27365728900254 \tstrike_2 132.46753246753246 \tindex_1 19.28 \tindex_2 29.142857142857142\n",
            "\n",
            "BB McCullum \n",
            "Runs :  800 \tMatches :  33 \tBalls :  587 \n",
            "strike1 :  127.56410256410255 \tstrike_2 146.1818181818182 \tindex_1 24.875 \tindex_2 23.647058823529413\n",
            "\n",
            "SK Raina \n",
            "Runs :  1669 \tMatches :  61 \tBalls :  1306 \n",
            "strike1 :  127.3031825795645 \tstrike_2 128.20874471086037 \tindex_1 29.23076923076923 \tindex_2 25.97142857142857\n",
            "\n",
            "KD Karthik \n",
            "Runs :  1616 \tMatches :  70 \tBalls :  1204 \n",
            "strike1 :  133.37988826815644 \tstrike_2 135.45081967213116 \tindex_1 24.487179487179485 \tindex_2 21.322580645161292\n",
            "\n",
            "RA Jadeja \n",
            "Runs :  776 \tMatches :  53 \tBalls :  623 \n",
            "strike1 :  133.206106870229 \tstrike_2 118.2825484764543 \tindex_1 17.45 \tindex_2 12.93939393939394\n",
            "\n",
            "Ishan Kishan \n",
            "Runs :  1211 \tMatches :  46 \tBalls :  907 \n",
            "strike1 :  129.3666026871401 \tstrike_2 139.11917098445596 \tindex_1 25.923076923076923 \tindex_2 26.85\n",
            "\n",
            "DJ Bravo \n",
            "Runs :  327 \tMatches :  32 \tBalls :  255 \n",
            "strike1 :  116.3265306122449 \tstrike_2 135.66878980891718 \tindex_1 10.363636363636363 \tindex_2 10.142857142857142\n",
            "\n",
            "CH Gayle \n",
            "Runs :  1573 \tMatches :  50 \tBalls :  1153 \n",
            "strike1 :  139.59827833572453 \tstrike_2 131.57894736842107 \tindex_1 37.42307692307692 \tindex_2 25.0\n",
            "\n",
            "V Kohli \n",
            "Runs :  2741 \tMatches :  69 \tBalls :  2029 \n",
            "strike1 :  134.58096013018715 \tstrike_2 135.875 \tindex_1 40.34146341463415 \tindex_2 38.82142857142857\n",
            "\n",
            "AB de Villiers \n",
            "Runs :  2279 \tMatches :  63 \tBalls :  1452 \n",
            "strike1 :  160.04319654427647 \tstrike_2 151.5209125475285 \tindex_1 40.054054054054056 \tindex_2 30.653846153846153\n",
            "\n",
            "SR Watson \n",
            "Runs :  1502 \tMatches :  65 \tBalls :  1158 \n",
            "strike1 :  125.26096033402922 \tstrike_2 132.8424153166421 \tindex_1 20.689655172413794 \tindex_2 25.055555555555557\n",
            "\n",
            "KM Jadhav \n",
            "Runs :  557 \tMatches :  34 \tBalls :  490 \n",
            "strike1 :  144.87179487179486 \tstrike_2 99.10179640718563 \tindex_1 16.142857142857142 \tindex_2 16.55\n",
            "\n",
            "SN Khan \n",
            "Runs :  330 \tMatches :  18 \tBalls :  249 \n",
            "strike1 :  158.77862595419847 \tstrike_2 103.38983050847457 \tindex_1 20.8 \tindex_2 15.25\n",
            "\n",
            "DA Warner \n",
            "Runs :  2729 \tMatches :  59 \tBalls :  1959 \n",
            "strike1 :  138.69485294117646 \tstrike_2 140.06888633754306 \tindex_1 50.3 \tindex_2 42.06896551724138\n",
            "\n",
            "S Dhawan \n",
            "Runs :  2616 \tMatches :  80 \tBalls :  2024 \n",
            "strike1 :  125.41196877710321 \tstrike_2 134.32835820895522 \tindex_1 32.86363636363637 \tindex_2 32.5\n",
            "\n",
            "MC Henriques \n",
            "Runs :  459 \tMatches :  26 \tBalls :  367 \n",
            "strike1 :  137.17277486910996 \tstrike_2 111.93181818181819 \tindex_1 17.466666666666665 \tindex_2 17.90909090909091\n",
            "\n",
            "NV Ojha \n",
            "Runs :  216 \tMatches :  19 \tBalls :  216 \n",
            "strike1 :  108.10810810810811 \tstrike_2 82.35294117647058 \tindex_1 13.333333333333334 \tindex_2 8.0\n",
            "\n",
            "DJ Hooda \n",
            "Runs :  474 \tMatches :  41 \tBalls :  405 \n",
            "strike1 :  132.0855614973262 \tstrike_2 104.12844036697248 \tindex_1 11.227272727272727 \tindex_2 11.947368421052632\n",
            "\n",
            "EJG Morgan \n",
            "Runs :  606 \tMatches :  24 \tBalls :  479 \n",
            "strike1 :  130.44982698961937 \tstrike_2 120.52631578947368 \tindex_1 26.928571428571427 \tindex_2 22.9\n",
            "\n",
            "A Ashish Reddy \n",
            "Runs :  47 \tMatches :  3 \tBalls :  30 \n",
            "strike1 :  125.0 \tstrike_2 177.77777777777777 \tindex_1 7.5 \tindex_2 32.0\n",
            "\n",
            "KV Sharma \n",
            "Runs :  85 \tMatches :  9 \tBalls :  76 \n",
            "strike1 :  66.66666666666666 \tstrike_2 120.3125 \tindex_1 2.6666666666666665 \tindex_2 12.833333333333334\n",
            "\n",
            "AD Russell \n",
            "Runs :  1131 \tMatches :  44 \tBalls :  657 \n",
            "strike1 :  180.5352798053528 \tstrike_2 158.130081300813 \tindex_1 29.68 \tindex_2 20.473684210526315\n",
            "\n",
            "YK Pathan \n",
            "Runs :  804 \tMatches :  44 \tBalls :  637 \n",
            "strike1 :  112.74238227146813 \tstrike_2 143.84057971014494 \tindex_1 16.958333333333332 \tindex_2 19.85\n",
            "\n",
            "C Munro \n",
            "Runs :  177 \tMatches :  11 \tBalls :  144 \n",
            "strike1 :  134.0909090909091 \tstrike_2 105.35714285714286 \tindex_1 16.857142857142858 \tindex_2 14.75\n",
            "\n",
            "SA Yadav \n",
            "Runs :  1703 \tMatches :  62 \tBalls :  1295 \n",
            "strike1 :  130.7116104868914 \tstrike_2 132.7935222672065 \tindex_1 26.846153846153847 \tindex_2 28.52173913043478\n",
            "\n",
            "PA Patel \n",
            "Runs :  1098 \tMatches :  46 \tBalls :  851 \n",
            "strike1 :  122.06896551724138 \tstrike_2 136.2980769230769 \tindex_1 27.94736842105263 \tindex_2 21.0\n",
            "\n",
            "SPD Smith \n",
            "Runs :  1372 \tMatches :  46 \tBalls :  1114 \n",
            "strike1 :  132.16168717047452 \tstrike_2 113.76146788990826 \tindex_1 37.6 \tindex_2 23.846153846153847\n",
            "\n",
            "MS Dhoni \n",
            "Runs :  1645 \tMatches :  66 \tBalls :  1294 \n",
            "strike1 :  133.1511839708561 \tstrike_2 122.68456375838926 \tindex_1 24.366666666666667 \tindex_2 25.38888888888889\n",
            "\n",
            "MR Marsh \n",
            "Runs :  7 \tMatches :  2 \tBalls :  12 \n",
            "strike1 :  63.63636363636363 \tstrike_2 0.0 \tindex_1 7.0 \tindex_2 0.0\n",
            "\n",
            "R Bhatia \n",
            "Runs :  50 \tMatches :  6 \tBalls :  37 \n",
            "strike1 :  144.44444444444443 \tstrike_2 132.14285714285714 \tindex_1 3.25 \tindex_2 18.5\n",
            "\n",
            "SE Marsh \n",
            "Runs :  423 \tMatches :  14 \tBalls :  332 \n",
            "strike1 :  119.83471074380165 \tstrike_2 147.77777777777777 \tindex_1 26.363636363636363 \tindex_2 44.333333333333336\n",
            "\n",
            "MG Johnson \n",
            "Runs :  41 \tMatches :  6 \tBalls :  42 \n",
            "strike1 :  82.35294117647058 \tstrike_2 162.5 \tindex_1 7.0 \tindex_2 6.5\n",
            "\n",
            "MM Sharma \n",
            "Runs :  93 \tMatches :  17 \tBalls :  94 \n",
            "strike1 :  94.23076923076923 \tstrike_2 104.76190476190477 \tindex_1 4.9 \tindex_2 6.285714285714286\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "P Sahu \n",
            "Runs :  19 \tMatches :  2 \tBalls :  13 \n",
            "strike1 :  146.15384615384613 \tstrike_2 nan \tindex_1 9.5 \tindex_2 nan\n",
            "\n",
            "Sandeep Sharma \n",
            "Runs :  33 \tMatches :  16 \tBalls :  39 \n",
            "strike1 :  40.0 \tstrike_2 91.17647058823529 \tindex_1 0.5 \tindex_2 2.5833333333333335\n",
            "\n",
            "B Kumar \n",
            "Runs :  72 \tMatches :  19 \tBalls :  71 \n",
            "strike1 :  116.66666666666667 \tstrike_2 52.94117647058824 \tindex_1 4.5 \tindex_2 1.8\n",
            "\n",
            "KH Pandya \n",
            "Runs :  1000 \tMatches :  57 \tBalls :  727 \n",
            "strike1 :  134.85193621867882 \tstrike_2 141.66666666666669 \tindex_1 16.914285714285715 \tindex_2 18.545454545454547\n",
            "\n",
            "TG Southee \n",
            "Runs :  98 \tMatches :  10 \tBalls :  78 \n",
            "strike1 :  142.85714285714286 \tstrike_2 81.81818181818183 \tindex_1 11.428571428571429 \tindex_2 6.0\n",
            "\n",
            "AD Nath \n",
            "Runs :  90 \tMatches :  10 \tBalls :  99 \n",
            "strike1 :  97.05882352941177 \tstrike_2 77.41935483870968 \tindex_1 11.0 \tindex_2 6.0\n",
            "\n",
            "JP Faulkner \n",
            "Runs :  131 \tMatches :  11 \tBalls :  120 \n",
            "strike1 :  102.59740259740259 \tstrike_2 120.93023255813952 \tindex_1 11.285714285714286 \tindex_2 13.0\n",
            "\n",
            "P Kumar \n",
            "Runs :  32 \tMatches :  8 \tBalls :  36 \n",
            "strike1 :  94.11764705882352 \tstrike_2 84.21052631578947 \tindex_1 3.2 \tindex_2 5.333333333333333\n",
            "\n",
            "DS Kulkarni \n",
            "Runs :  42 \tMatches :  10 \tBalls :  30 \n",
            "strike1 :  135.29411764705884 \tstrike_2 146.15384615384613 \tindex_1 3.8333333333333335 \tindex_2 4.75\n",
            "\n",
            "NLTC Perera \n",
            "Runs :  150 \tMatches :  10 \tBalls :  97 \n",
            "strike1 :  126.53061224489797 \tstrike_2 183.33333333333331 \tindex_1 10.333333333333334 \tindex_2 22.0\n",
            "\n",
            "IK Pathan \n",
            "Runs :  13 \tMatches :  4 \tBalls :  17 \n",
            "strike1 :  78.57142857142857 \tstrike_2 66.66666666666666 \tindex_1 3.6666666666666665 \tindex_2 2.0\n",
            "\n",
            "R Ashwin \n",
            "Runs :  222 \tMatches :  25 \tBalls :  176 \n",
            "strike1 :  120.83333333333333 \tstrike_2 132.5 \tindex_1 7.733333333333333 \tindex_2 10.6\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "D Wiese \n",
            "Runs :  5 \tMatches :  1 \tBalls :  4 \n",
            "strike1 :  125.0 \tstrike_2 nan \tindex_1 5.0 \tindex_2 nan\n",
            "\n",
            "JP Duminy \n",
            "Runs :  227 \tMatches :  10 \tBalls :  203 \n",
            "strike1 :  122.22222222222223 \tstrike_2 103.53982300884957 \tindex_1 27.5 \tindex_2 19.5\n",
            "\n",
            "MJ Guptill \n",
            "Runs :  270 \tMatches :  13 \tBalls :  196 \n",
            "strike1 :  123.80952380952381 \tstrike_2 179.59183673469389 \tindex_1 18.2 \tindex_2 29.333333333333332\n",
            "\n",
            "KJ Abbott \n",
            "Runs :  13 \tMatches :  3 \tBalls :  8 \n",
            "strike1 :  185.71428571428572 \tstrike_2 0.0 \tindex_1 6.5 \tindex_2 0.0\n",
            "\n",
            "Shakib Al Hasan \n",
            "Runs :  363 \tMatches :  22 \tBalls :  323 \n",
            "strike1 :  112.93103448275863 \tstrike_2 110.98901098901099 \tindex_1 16.375 \tindex_2 16.833333333333332\n",
            "\n",
            "KL Rahul \n",
            "Runs :  2319 \tMatches :  54 \tBalls :  1675 \n",
            "strike1 :  134.35828877005346 \tstrike_2 141.74757281553397 \tindex_1 37.22222222222222 \tindex_2 48.666666666666664\n",
            "\n",
            "TM Head \n",
            "Runs :  205 \tMatches :  10 \tBalls :  151 \n",
            "strike1 :  145.21739130434784 \tstrike_2 105.55555555555556 \tindex_1 23.857142857142858 \tindex_2 12.666666666666666\n",
            "\n",
            "STR Binny \n",
            "Runs :  255 \tMatches :  22 \tBalls :  199 \n",
            "strike1 :  117.33333333333333 \tstrike_2 134.6774193548387 \tindex_1 9.777777777777779 \tindex_2 12.846153846153847\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "KW Richardson \n",
            "Runs :  1 \tMatches :  1 \tBalls :  1 \n",
            "strike1 :  100.0 \tstrike_2 nan \tindex_1 1.0 \tindex_2 nan\n",
            "\n",
            "DW Steyn \n",
            "Runs :  2 \tMatches :  2 \tBalls :  4 \n",
            "strike1 :  50.0 \tstrike_2 50.0 \tindex_1 1.0 \tindex_2 1.0\n",
            "\n",
            "Ankit Sharma \n",
            "Runs :  28 \tMatches :  2 \tBalls :  19 \n",
            "strike1 :  156.25 \tstrike_2 100.0 \tindex_1 25.0 \tindex_2 3.0\n",
            "\n",
            "M Ashwin \n",
            "Runs :  8 \tMatches :  6 \tBalls :  12 \n",
            "strike1 :  75.0 \tstrike_2 50.0 \tindex_1 2.0 \tindex_2 0.6666666666666666\n",
            "\n",
            "NS Naik \n",
            "Runs :  31 \tMatches :  4 \tBalls :  53 \n",
            "strike1 :  61.702127659574465 \tstrike_2 33.33333333333333 \tindex_1 14.5 \tindex_2 1.0\n",
            "\n",
            "R Dhawan \n",
            "Runs :  14 \tMatches :  2 \tBalls :  6 \n",
            "strike1 :  233.33333333333334 \tstrike_2 nan \tindex_1 7.0 \tindex_2 nan\n",
            "\n",
            "AP Tare \n",
            "Runs :  26 \tMatches :  5 \tBalls :  40 \n",
            "strike1 :  40.0 \tstrike_2 90.0 \tindex_1 4.0 \tindex_2 6.0\n",
            "\n",
            "DR Smith \n",
            "Runs :  563 \tMatches :  23 \tBalls :  384 \n",
            "strike1 :  145.08670520231215 \tstrike_2 147.86729857819904 \tindex_1 22.818181818181817 \tindex_2 26.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "JA Morkel \n",
            "Runs :  16 \tMatches :  1 \tBalls :  9 \n",
            "strike1 :  177.77777777777777 \tstrike_2 nan \tindex_1 16.0 \tindex_2 nan\n",
            "\n",
            "R Sathish \n",
            "Runs :  24 \tMatches :  3 \tBalls :  24 \n",
            "strike1 :  nan \tstrike_2 100.0 \tindex_1 nan \tindex_2 8.0\n",
            "\n",
            "PP Chawla \n",
            "Runs :  98 \tMatches :  14 \tBalls :  106 \n",
            "strike1 :  86.36363636363636 \tstrike_2 102.49999999999999 \tindex_1 6.333333333333333 \tindex_2 8.2\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "UT Yadav \n",
            "Runs :  47 \tMatches :  17 \tBalls :  59 \n",
            "strike1 :  33.33333333333333 \tstrike_2 127.58620689655173 \tindex_1 1.1111111111111112 \tindex_2 4.625\n",
            "\n",
            "Bipul Sharma \n",
            "Runs :  82 \tMatches :  7 \tBalls :  50 \n",
            "strike1 :  152.94117647058823 \tstrike_2 169.6969696969697 \tindex_1 6.5 \tindex_2 18.666666666666668\n",
            "\n",
            "RR Pant \n",
            "Runs :  2079 \tMatches :  68 \tBalls :  1416 \n",
            "strike1 :  151.00864553314122 \tstrike_2 142.79778393351802 \tindex_1 30.823529411764707 \tindex_2 30.323529411764707\n",
            "\n",
            "CA Lynn \n",
            "Runs :  1216 \tMatches :  38 \tBalls :  876 \n",
            "strike1 :  130.272952853598 \tstrike_2 146.08879492600423 \tindex_1 30.88235294117647 \tindex_2 32.904761904761905\n",
            "\n",
            "SS Tiwary \n",
            "Runs :  325 \tMatches :  13 \tBalls :  276 \n",
            "strike1 :  121.875 \tstrike_2 100.0 \tindex_1 30.333333333333332 \tindex_2 13.0\n",
            "\n",
            "SW Billings \n",
            "Runs :  334 \tMatches :  19 \tBalls :  256 \n",
            "strike1 :  122.85714285714286 \tstrike_2 146.9135802469136 \tindex_1 19.545454545454547 \tindex_2 14.875\n",
            "\n",
            "Mohammed Shami \n",
            "Runs :  48 \tMatches :  13 \tBalls :  39 \n",
            "strike1 :  42.857142857142854 \tstrike_2 168.0 \tindex_1 1.0 \tindex_2 6.0\n",
            "\n",
            "JO Holder \n",
            "Runs :  88 \tMatches :  8 \tBalls :  74 \n",
            "strike1 :  133.33333333333331 \tstrike_2 116.12903225806453 \tindex_1 8.0 \tindex_2 12.0\n",
            "\n",
            "SP Narine \n",
            "Runs :  852 \tMatches :  50 \tBalls :  529 \n",
            "strike1 :  152.03252032520325 \tstrike_2 168.90459363957598 \tindex_1 15.583333333333334 \tindex_2 18.384615384615383\n",
            "\n",
            "KS Williamson \n",
            "Runs :  1588 \tMatches :  50 \tBalls :  1193 \n",
            "strike1 :  135.74660633484163 \tstrike_2 129.81132075471697 \tindex_1 32.142857142857146 \tindex_2 31.272727272727273\n",
            "\n",
            "Sachin Baby \n",
            "Runs :  134 \tMatches :  9 \tBalls :  99 \n",
            "strike1 :  136.5079365079365 \tstrike_2 133.33333333333331 \tindex_1 21.5 \tindex_2 9.6\n",
            "\n",
            "Parvez Rasool \n",
            "Runs :  10 \tMatches :  1 \tBalls :  9 \n",
            "strike1 :  nan \tstrike_2 111.11111111111111 \tindex_1 nan \tindex_2 10.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Gurkeerat Singh \n",
            "Runs :  282 \tMatches :  14 \tBalls :  243 \n",
            "strike1 :  122.34042553191489 \tstrike_2 112.08053691275168 \tindex_1 16.428571428571427 \tindex_2 23.857142857142858\n",
            "\n",
            "KC Cariappa \n",
            "Runs :  24 \tMatches :  5 \tBalls :  21 \n",
            "strike1 :  166.66666666666669 \tstrike_2 93.33333333333333 \tindex_1 5.0 \tindex_2 4.666666666666667\n",
            "\n",
            "PSP Handscomb \n",
            "Runs :  6 \tMatches :  1 \tBalls :  12 \n",
            "strike1 :  50.0 \tstrike_2 nan \tindex_1 6.0 \tindex_2 nan\n",
            "\n",
            "Swapnil Singh \n",
            "Runs :  12 \tMatches :  3 \tBalls :  20 \n",
            "strike1 :  63.1578947368421 \tstrike_2 0.0 \tindex_1 6.0 \tindex_2 0.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "J Yadav \n",
            "Runs :  6 \tMatches :  2 \tBalls :  12 \n",
            "strike1 :  50.0 \tstrike_2 nan \tindex_1 3.0 \tindex_2 nan\n",
            "\n",
            "UT Khawaja \n",
            "Runs :  127 \tMatches :  6 \tBalls :  105 \n",
            "strike1 :  160.8695652173913 \tstrike_2 109.75609756097562 \tindex_1 18.5 \tindex_2 22.5\n",
            "\n",
            "Yuvraj Singh \n",
            "Runs :  651 \tMatches :  31 \tBalls :  528 \n",
            "strike1 :  132.40740740740742 \tstrike_2 108.8235294117647 \tindex_1 20.428571428571427 \tindex_2 22.2\n",
            "\n",
            "GJ Bailey \n",
            "Runs :  84 \tMatches :  5 \tBalls :  99 \n",
            "strike1 :  113.79310344827587 \tstrike_2 72.85714285714285 \tindex_1 16.5 \tindex_2 17.0\n",
            "\n",
            "HM Amla \n",
            "Runs :  577 \tMatches :  16 \tBalls :  418 \n",
            "strike1 :  148.95104895104896 \tstrike_2 114.3939393939394 \tindex_1 53.25 \tindex_2 18.875\n",
            "\n",
            "JJ Bumrah \n",
            "Runs :  39 \tMatches :  9 \tBalls :  38 \n",
            "strike1 :  100.0 \tstrike_2 103.7037037037037 \tindex_1 2.75 \tindex_2 5.6\n",
            "\n",
            "F Behardien \n",
            "Runs :  14 \tMatches :  3 \tBalls :  13 \n",
            "strike1 :  100.0 \tstrike_2 112.5 \tindex_1 5.0 \tindex_2 4.5\n",
            "\n",
            "BB Sran \n",
            "Runs :  10 \tMatches :  7 \tBalls :  14 \n",
            "strike1 :  66.66666666666666 \tstrike_2 72.72727272727273 \tindex_1 0.6666666666666666 \tindex_2 2.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "A Zampa \n",
            "Runs :  5 \tMatches :  2 \tBalls :  8 \n",
            "strike1 :  nan \tstrike_2 62.5 \tindex_1 nan \tindex_2 2.5\n",
            "\n",
            "N Rana \n",
            "Runs :  1437 \tMatches :  55 \tBalls :  1093 \n",
            "strike1 :  129.77867203219316 \tstrike_2 132.88590604026845 \tindex_1 22.24137931034483 \tindex_2 30.46153846153846\n",
            "\n",
            "A Nehra \n",
            "Runs :  1 \tMatches :  1 \tBalls :  1 \n",
            "strike1 :  100.0 \tstrike_2 nan \tindex_1 1.0 \tindex_2 nan\n",
            "\n",
            "UBT Chand \n",
            "Runs :  0 \tMatches :  1 \tBalls :  5 \n",
            "strike1 :  0.0 \tstrike_2 nan \tindex_1 0.0 \tindex_2 nan\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "PV Tambe \n",
            "Runs :  7 \tMatches :  1 \tBalls :  19 \n",
            "strike1 :  nan \tstrike_2 36.84210526315789 \tindex_1 nan \tindex_2 7.0\n",
            "\n",
            "S Kaushik \n",
            "Runs :  0 \tMatches :  1 \tBalls :  1 \n",
            "strike1 :  nan \tstrike_2 0.0 \tindex_1 nan \tindex_2 0.0\n",
            "\n",
            "BCJ Cutting \n",
            "Runs :  230 \tMatches :  16 \tBalls :  140 \n",
            "strike1 :  167.0731707317073 \tstrike_2 160.3448275862069 \tindex_1 13.7 \tindex_2 15.5\n",
            "\n",
            "S Nadeem \n",
            "Runs :  16 \tMatches :  7 \tBalls :  30 \n",
            "strike1 :  0.0 \tstrike_2 55.172413793103445 \tindex_1 0.0 \tindex_2 2.6666666666666665\n",
            "\n",
            "Imran Tahir \n",
            "Runs :  20 \tMatches :  4 \tBalls :  21 \n",
            "strike1 :  130.0 \tstrike_2 63.63636363636363 \tindex_1 13.0 \tindex_2 2.3333333333333335\n",
            "\n",
            "M Morkel \n",
            "Runs :  1 \tMatches :  1 \tBalls :  1 \n",
            "strike1 :  100.0 \tstrike_2 nan \tindex_1 1.0 \tindex_2 nan\n",
            "\n",
            "ER Dwivedi \n",
            "Runs :  24 \tMatches :  2 \tBalls :  15 \n",
            "strike1 :  160.0 \tstrike_2 nan \tindex_1 12.0 \tindex_2 nan\n",
            "\n",
            "SB Jakati \n",
            "Runs :  1 \tMatches :  1 \tBalls :  2 \n",
            "strike1 :  50.0 \tstrike_2 nan \tindex_1 1.0 \tindex_2 nan\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Iqbal Abdulla \n",
            "Runs :  42 \tMatches :  3 \tBalls :  34 \n",
            "strike1 :  71.42857142857143 \tstrike_2 137.03703703703704 \tindex_1 5.0 \tindex_2 18.5\n",
            "\n",
            "CJ Jordan \n",
            "Runs :  32 \tMatches :  6 \tBalls :  38 \n",
            "strike1 :  55.00000000000001 \tstrike_2 116.66666666666667 \tindex_1 3.6666666666666665 \tindex_2 7.0\n",
            "\n",
            "Mandeep Singh \n",
            "Runs :  735 \tMatches :  42 \tBalls :  604 \n",
            "strike1 :  120.72072072072073 \tstrike_2 122.87822878228782 \tindex_1 17.47826086956522 \tindex_2 17.526315789473685\n",
            "\n",
            "S Aravind \n",
            "Runs :  32 \tMatches :  6 \tBalls :  40 \n",
            "strike1 :  56.25 \tstrike_2 95.83333333333334 \tindex_1 9.0 \tindex_2 4.6\n",
            "\n",
            "YS Chahal \n",
            "Runs :  20 \tMatches :  12 \tBalls :  51 \n",
            "strike1 :  40.0 \tstrike_2 38.88888888888889 \tindex_1 2.0 \tindex_2 1.5555555555555556\n",
            "\n",
            "TS Mills \n",
            "Runs :  8 \tMatches :  3 \tBalls :  11 \n",
            "strike1 :  0.0 \tstrike_2 100.0 \tindex_1 0.0 \tindex_2 4.0\n",
            "\n",
            "A Choudhary \n",
            "Runs :  25 \tMatches :  3 \tBalls :  20 \n",
            "strike1 :  125.0 \tstrike_2 125.0 \tindex_1 15.0 \tindex_2 5.0\n",
            "\n",
            "BA Stokes \n",
            "Runs :  920 \tMatches :  40 \tBalls :  700 \n",
            "strike1 :  115.46391752577318 \tstrike_2 142.78728606356967 \tindex_1 18.666666666666668 \tindex_2 26.545454545454547\n",
            "\n",
            "JJ Roy \n",
            "Runs :  179 \tMatches :  8 \tBalls :  139 \n",
            "strike1 :  107.40740740740742 \tstrike_2 158.6206896551724 \tindex_1 14.5 \tindex_2 46.0\n",
            "\n",
            "Vishnu Vinod \n",
            "Runs :  19 \tMatches :  3 \tBalls :  26 \n",
            "strike1 :  73.07692307692307 \tstrike_2 nan \tindex_1 6.333333333333333 \tindex_2 nan\n",
            "\n",
            "PJ Cummins \n",
            "Runs :  223 \tMatches :  18 \tBalls :  174 \n",
            "strike1 :  114.65517241379311 \tstrike_2 155.17241379310346 \tindex_1 13.3 \tindex_2 11.25\n",
            "\n",
            "MK Tiwary \n",
            "Runs :  371 \tMatches :  17 \tBalls :  287 \n",
            "strike1 :  134.17085427135677 \tstrike_2 118.18181818181819 \tindex_1 29.666666666666668 \tindex_2 13.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "DT Christian \n",
            "Runs :  105 \tMatches :  12 \tBalls :  85 \n",
            "strike1 :  129.41176470588235 \tstrike_2 114.70588235294117 \tindex_1 9.428571428571429 \tindex_2 7.8\n",
            "\n",
            "Basil Thampi \n",
            "Runs :  32 \tMatches :  7 \tBalls :  37 \n",
            "strike1 :  87.5 \tstrike_2 84.61538461538461 \tindex_1 4.2 \tindex_2 5.5\n",
            "\n",
            "CR Woakes \n",
            "Runs :  63 \tMatches :  11 \tBalls :  66 \n",
            "strike1 :  89.47368421052632 \tstrike_2 103.57142857142858 \tindex_1 6.8 \tindex_2 4.833333333333333\n",
            "\n",
            "CJ Anderson \n",
            "Runs :  159 \tMatches :  14 \tBalls :  152 \n",
            "strike1 :  90.41095890410958 \tstrike_2 117.72151898734178 \tindex_1 11.0 \tindex_2 11.625\n",
            "\n",
            "RA Tripathi \n",
            "Runs :  988 \tMatches :  44 \tBalls :  756 \n",
            "strike1 :  130.06993006993005 \tstrike_2 131.49847094801223 \tindex_1 22.32 \tindex_2 22.63157894736842\n",
            "\n",
            "DL Chahar \n",
            "Runs :  78 \tMatches :  10 \tBalls :  58 \n",
            "strike1 :  28.57142857142857 \tstrike_2 149.01960784313727 \tindex_1 1.0 \tindex_2 9.5\n",
            "\n",
            "AB Dinda \n",
            "Runs :  7 \tMatches :  1 \tBalls :  8 \n",
            "strike1 :  nan \tstrike_2 87.5 \tindex_1 nan \tindex_2 7.0\n",
            "\n",
            "V Shankar \n",
            "Runs :  654 \tMatches :  32 \tBalls :  528 \n",
            "strike1 :  135.9683794466403 \tstrike_2 112.72727272727272 \tindex_1 21.5 \tindex_2 19.375\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Rashid Khan \n",
            "Runs :  139 \tMatches :  23 \tBalls :  99 \n",
            "strike1 :  150.0 \tstrike_2 132.0754716981132 \tindex_1 6.2727272727272725 \tindex_2 5.833333333333333\n",
            "\n",
            "VR Aaron \n",
            "Runs :  8 \tMatches :  5 \tBalls :  28 \n",
            "strike1 :  38.88888888888889 \tstrike_2 10.0 \tindex_1 2.3333333333333335 \tindex_2 0.5\n",
            "\n",
            "SN Thakur \n",
            "Runs :  41 \tMatches :  8 \tBalls :  36 \n",
            "strike1 :  47.82608695652174 \tstrike_2 230.76923076923075 \tindex_1 2.75 \tindex_2 7.5\n",
            "\n",
            "RD Chahar \n",
            "Runs :  17 \tMatches :  6 \tBalls :  17 \n",
            "strike1 :  100.0 \tstrike_2 100.0 \tindex_1 3.75 \tindex_2 1.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "LH Ferguson \n",
            "Runs :  44 \tMatches :  3 \tBalls :  30 \n",
            "strike1 :  146.66666666666666 \tstrike_2 nan \tindex_1 14.666666666666666 \tindex_2 nan\n",
            "\n",
            "C de Grandhomme \n",
            "Runs :  303 \tMatches :  21 \tBalls :  229 \n",
            "strike1 :  168.35443037974684 \tstrike_2 113.33333333333333 \tindex_1 13.3 \tindex_2 15.454545454545455\n",
            "\n",
            "JD Unadkat \n",
            "Runs :  61 \tMatches :  9 \tBalls :  59 \n",
            "strike1 :  106.06060606060606 \tstrike_2 100.0 \tindex_1 7.0 \tindex_2 6.5\n",
            "\n",
            "AF Milne \n",
            "Runs :  7 \tMatches :  3 \tBalls :  12 \n",
            "strike1 :  0.0 \tstrike_2 63.63636363636363 \tindex_1 0.0 \tindex_2 3.5\n",
            "\n",
            "S Badree \n",
            "Runs :  13 \tMatches :  5 \tBalls :  25 \n",
            "strike1 :  100.0 \tstrike_2 45.45454545454545 \tindex_1 3.0 \tindex_2 2.5\n",
            "\n",
            "AD Mathews \n",
            "Runs :  32 \tMatches :  2 \tBalls :  28 \n",
            "strike1 :  25.0 \tstrike_2 129.16666666666669 \tindex_1 1.0 \tindex_2 31.0\n",
            "\n",
            "Mohammad Nabi \n",
            "Runs :  146 \tMatches :  11 \tBalls :  102 \n",
            "strike1 :  147.45762711864407 \tstrike_2 137.2093023255814 \tindex_1 10.875 \tindex_2 19.666666666666668\n",
            "\n",
            "I Sharma \n",
            "Runs :  18 \tMatches :  4 \tBalls :  16 \n",
            "strike1 :  137.5 \tstrike_2 87.5 \tindex_1 5.5 \tindex_2 3.5\n",
            "\n",
            "AJ Tye \n",
            "Runs :  91 \tMatches :  13 \tBalls :  79 \n",
            "strike1 :  95.0 \tstrike_2 135.8974358974359 \tindex_1 5.428571428571429 \tindex_2 8.833333333333334\n",
            "\n",
            "K Rabada \n",
            "Runs :  125 \tMatches :  13 \tBalls :  135 \n",
            "strike1 :  81.08108108108108 \tstrike_2 96.93877551020408 \tindex_1 6.0 \tindex_2 11.875\n",
            "\n",
            "Kuldeep Yadav \n",
            "Runs :  57 \tMatches :  10 \tBalls :  76 \n",
            "strike1 :  82.35294117647058 \tstrike_2 69.04761904761905 \tindex_1 5.6 \tindex_2 5.8\n",
            "\n",
            "Washington Sundar \n",
            "Runs :  186 \tMatches :  21 \tBalls :  154 \n",
            "strike1 :  114.08450704225352 \tstrike_2 126.50602409638554 \tindex_1 7.363636363636363 \tindex_2 10.5\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "DM Bravo \n",
            "Runs :  6 \tMatches :  1 \tBalls :  5 \n",
            "strike1 :  nan \tstrike_2 120.0 \tindex_1 nan \tindex_2 6.0\n",
            "\n",
            "AR Bawne \n",
            "Runs :  12 \tMatches :  1 \tBalls :  12 \n",
            "strike1 :  100.0 \tstrike_2 nan \tindex_1 12.0 \tindex_2 nan\n",
            "\n",
            "SP Jackson \n",
            "Runs :  38 \tMatches :  3 \tBalls :  31 \n",
            "strike1 :  111.11111111111111 \tstrike_2 127.27272727272727 \tindex_1 10.0 \tindex_2 14.0\n",
            "\n",
            "Anureet Singh \n",
            "Runs :  18 \tMatches :  2 \tBalls :  16 \n",
            "strike1 :  75.0 \tstrike_2 125.0 \tindex_1 3.0 \tindex_2 15.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Ankit Soni \n",
            "Runs :  7 \tMatches :  3 \tBalls :  9 \n",
            "strike1 :  77.77777777777779 \tstrike_2 nan \tindex_1 2.3333333333333335 \tindex_2 nan\n",
            "\n",
            "SL Malinga \n",
            "Runs :  7 \tMatches :  2 \tBalls :  3 \n",
            "strike1 :  nan \tstrike_2 233.33333333333334 \tindex_1 nan \tindex_2 3.5\n",
            "\n",
            "PJ Sangwan \n",
            "Runs :  2 \tMatches :  4 \tBalls :  9 \n",
            "strike1 :  22.22222222222222 \tstrike_2 nan \tindex_1 0.5 \tindex_2 nan\n",
            "\n",
            "S Kaul \n",
            "Runs :  3 \tMatches :  5 \tBalls :  17 \n",
            "strike1 :  30.0 \tstrike_2 0.0 \tindex_1 1.5 \tindex_2 0.0\n",
            "\n",
            "MN Samuels \n",
            "Runs :  29 \tMatches :  4 \tBalls :  32 \n",
            "strike1 :  122.72727272727273 \tstrike_2 20.0 \tindex_1 27.0 \tindex_2 0.6666666666666666\n",
            "\n",
            "R Tewatia \n",
            "Runs :  350 \tMatches :  22 \tBalls :  267 \n",
            "strike1 :  149.3827160493827 \tstrike_2 123.11827956989248 \tindex_1 11.0 \tindex_2 20.818181818181817\n",
            "\n",
            "MM Patel \n",
            "Runs :  0 \tMatches :  1 \tBalls :  1 \n",
            "strike1 :  0.0 \tstrike_2 nan \tindex_1 0.0 \tindex_2 nan\n",
            "\n",
            "TA Boult \n",
            "Runs :  12 \tMatches :  5 \tBalls :  15 \n",
            "strike1 :  150.0 \tstrike_2 54.54545454545454 \tindex_1 3.0 \tindex_2 2.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "IR Jaggi \n",
            "Runs :  33 \tMatches :  2 \tBalls :  40 \n",
            "strike1 :  87.5 \tstrike_2 62.5 \tindex_1 28.0 \tindex_2 5.0\n",
            "\n",
            "AS Rajpoot \n",
            "Runs :  24 \tMatches :  6 \tBalls :  35 \n",
            "strike1 :  43.75 \tstrike_2 89.47368421052632 \tindex_1 2.3333333333333335 \tindex_2 5.666666666666667\n",
            "\n",
            "MM Ali \n",
            "Runs :  309 \tMatches :  17 \tBalls :  199 \n",
            "strike1 :  170.44025157232704 \tstrike_2 95.0 \tindex_1 24.636363636363637 \tindex_2 6.333333333333333\n",
            "\n",
            "SO Hetmyer \n",
            "Runs :  275 \tMatches :  16 \tBalls :  203 \n",
            "strike1 :  129.90654205607478 \tstrike_2 141.66666666666669 \tindex_1 13.9 \tindex_2 22.666666666666668\n",
            "\n",
            "S Dube \n",
            "Runs :  169 \tMatches :  13 \tBalls :  142 \n",
            "strike1 :  120.0 \tstrike_2 117.3076923076923 \tindex_1 13.5 \tindex_2 12.2\n",
            "\n",
            "NA Saini \n",
            "Runs :  29 \tMatches :  5 \tBalls :  31 \n",
            "strike1 :  91.66666666666666 \tstrike_2 94.73684210526315 \tindex_1 3.6666666666666665 \tindex_2 9.0\n",
            "\n",
            "Mohammed Siraj \n",
            "Runs :  46 \tMatches :  9 \tBalls :  52 \n",
            "strike1 :  69.56521739130434 \tstrike_2 103.44827586206897 \tindex_1 3.2 \tindex_2 7.5\n",
            "\n",
            "JM Bairstow \n",
            "Runs :  790 \tMatches :  21 \tBalls :  576 \n",
            "strike1 :  134.29752066115702 \tstrike_2 139.22155688622755 \tindex_1 36.111111111111114 \tindex_2 38.75\n",
            "\n",
            "Shubman Gill \n",
            "Runs :  939 \tMatches :  37 \tBalls :  766 \n",
            "strike1 :  120.81545064377683 \tstrike_2 125.33333333333334 \tindex_1 24.47826086956522 \tindex_2 26.857142857142858\n",
            "\n",
            "PP Shaw \n",
            "Runs :  826 \tMatches :  38 \tBalls :  605 \n",
            "strike1 :  138.50415512465375 \tstrike_2 133.60655737704917 \tindex_1 22.727272727272727 \tindex_2 20.375\n",
            "\n",
            "CA Ingram \n",
            "Runs :  184 \tMatches :  12 \tBalls :  157 \n",
            "strike1 :  130.0 \tstrike_2 111.21495327102804 \tindex_1 16.25 \tindex_2 14.875\n",
            "\n",
            "KMA Paul \n",
            "Runs :  18 \tMatches :  5 \tBalls :  26 \n",
            "strike1 :  59.09090909090909 \tstrike_2 125.0 \tindex_1 3.25 \tindex_2 5.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Rasikh Salam \n",
            "Runs :  5 \tMatches :  1 \tBalls :  4 \n",
            "strike1 :  nan \tstrike_2 125.0 \tindex_1 nan \tindex_2 5.0\n",
            "\n",
            "N Pooran \n",
            "Runs :  521 \tMatches :  20 \tBalls :  323 \n",
            "strike1 :  142.02898550724638 \tstrike_2 175.67567567567568 \tindex_1 21.77777777777778 \tindex_2 29.545454545454547\n",
            "\n",
            "K Gowtham \n",
            "Runs :  186 \tMatches :  19 \tBalls :  113 \n",
            "strike1 :  135.13513513513513 \tstrike_2 178.94736842105263 \tindex_1 6.25 \tindex_2 12.363636363636363\n",
            "\n",
            "JC Archer \n",
            "Runs :  195 \tMatches :  21 \tBalls :  128 \n",
            "strike1 :  148.14814814814815 \tstrike_2 155.4054054054054 \tindex_1 8.88888888888889 \tindex_2 9.583333333333334\n",
            "\n",
            "M Markande \n",
            "Runs :  27 \tMatches :  7 \tBalls :  30 \n",
            "strike1 :  135.29411764705884 \tstrike_2 30.76923076923077 \tindex_1 4.6 \tindex_2 2.0\n",
            "\n",
            "GH Vihari \n",
            "Runs :  4 \tMatches :  2 \tBalls :  8 \n",
            "strike1 :  nan \tstrike_2 50.0 \tindex_1 nan \tindex_2 2.0\n",
            "\n",
            "P Ray Barman \n",
            "Runs :  19 \tMatches :  1 \tBalls :  25 \n",
            "strike1 :  nan \tstrike_2 76.0 \tindex_1 nan \tindex_2 19.0\n",
            "\n",
            "SM Curran \n",
            "Runs :  281 \tMatches :  19 \tBalls :  200 \n",
            "strike1 :  131.25 \tstrike_2 164.28571428571428 \tindex_1 21.0 \tindex_2 9.2\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "GC Viljoen \n",
            "Runs :  3 \tMatches :  3 \tBalls :  7 \n",
            "strike1 :  50.0 \tstrike_2 0.0 \tindex_1 1.5 \tindex_2 0.0\n",
            "\n",
            "HV Patel \n",
            "Runs :  81 \tMatches :  5 \tBalls :  61 \n",
            "strike1 :  139.6551724137931 \tstrike_2 0.0 \tindex_1 20.25 \tindex_2 0.0\n",
            "\n",
            "Avesh Khan \n",
            "Runs :  4 \tMatches :  1 \tBalls :  3 \n",
            "strike1 :  nan \tstrike_2 133.33333333333331 \tindex_1 nan \tindex_2 4.0\n",
            "\n",
            "S Lamichhane \n",
            "Runs :  0 \tMatches :  1 \tBalls :  1 \n",
            "strike1 :  nan \tstrike_2 0.0 \tindex_1 nan \tindex_2 0.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "M Prasidh Krishna \n",
            "Runs :  3 \tMatches :  4 \tBalls :  11 \n",
            "strike1 :  0.0 \tstrike_2 37.5 \tindex_1 0.0 \tindex_2 1.5\n",
            "\n",
            "HF Gurney \n",
            "Runs :  1 \tMatches :  1 \tBalls :  5 \n",
            "strike1 :  20.0 \tstrike_2 nan \tindex_1 1.0 \tindex_2 nan\n",
            "\n",
            "SD Lad \n",
            "Runs :  15 \tMatches :  1 \tBalls :  13 \n",
            "strike1 :  nan \tstrike_2 115.38461538461537 \tindex_1 nan \tindex_2 15.0\n",
            "\n",
            "AS Joseph \n",
            "Runs :  15 \tMatches :  1 \tBalls :  13 \n",
            "strike1 :  nan \tstrike_2 115.38461538461537 \tindex_1 nan \tindex_2 15.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "R Parag \n",
            "Runs :  246 \tMatches :  13 \tBalls :  214 \n",
            "strike1 :  105.66037735849056 \tstrike_2 124.07407407407408 \tindex_1 18.666666666666668 \tindex_2 19.142857142857142\n",
            "\n",
            "MJ Santner \n",
            "Runs :  32 \tMatches :  2 \tBalls :  25 \n",
            "strike1 :  nan \tstrike_2 128.0 \tindex_1 nan \tindex_2 16.0\n",
            "\n",
            "JL Denly \n",
            "Runs :  0 \tMatches :  1 \tBalls :  1 \n",
            "strike1 :  0.0 \tstrike_2 nan \tindex_1 0.0 \tindex_2 nan\n",
            "\n",
            "LS Livingstone \n",
            "Runs :  70 \tMatches :  4 \tBalls :  48 \n",
            "strike1 :  107.6923076923077 \tstrike_2 160.0 \tindex_1 14.0 \tindex_2 18.666666666666668\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "RK Bhui \n",
            "Runs :  7 \tMatches :  2 \tBalls :  18 \n",
            "strike1 :  nan \tstrike_2 38.88888888888889 \tindex_1 nan \tindex_2 3.5\n",
            "\n",
            "Abhishek Sharma \n",
            "Runs :  143 \tMatches :  13 \tBalls :  104 \n",
            "strike1 :  152.0 \tstrike_2 100.0 \tindex_1 14.25 \tindex_2 5.8\n",
            "\n",
            "KK Ahmed \n",
            "Runs :  0 \tMatches :  2 \tBalls :  3 \n",
            "strike1 :  nan \tstrike_2 0.0 \tindex_1 nan \tindex_2 0.0\n",
            "\n",
            "Mujeeb Ur Rahman \n",
            "Runs :  11 \tMatches :  5 \tBalls :  14 \n",
            "strike1 :  0.0 \tstrike_2 100.0 \tindex_1 0.0 \tindex_2 3.6666666666666665\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "AJ Turner \n",
            "Runs :  3 \tMatches :  4 \tBalls :  11 \n",
            "strike1 :  0.0 \tstrike_2 30.0 \tindex_1 0.0 \tindex_2 1.0\n",
            "\n",
            "E Lewis \n",
            "Runs :  430 \tMatches :  16 \tBalls :  343 \n",
            "strike1 :  133.7719298245614 \tstrike_2 108.69565217391303 \tindex_1 27.727272727272727 \tindex_2 25.0\n",
            "\n",
            "MA Wood \n",
            "Runs :  1 \tMatches :  1 \tBalls :  5 \n",
            "strike1 :  nan \tstrike_2 20.0 \tindex_1 nan \tindex_2 1.0\n",
            "\n",
            "RK Singh \n",
            "Runs :  77 \tMatches :  8 \tBalls :  79 \n",
            "strike1 :  102.04081632653062 \tstrike_2 90.0 \tindex_1 10.0 \tindex_2 9.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "DJM Short \n",
            "Runs :  115 \tMatches :  7 \tBalls :  102 \n",
            "strike1 :  94.36619718309859 \tstrike_2 154.83870967741936 \tindex_1 13.4 \tindex_2 24.0\n",
            "\n",
            "B Laughlin \n",
            "Runs :  1 \tMatches :  2 \tBalls :  4 \n",
            "strike1 :  33.33333333333333 \tstrike_2 0.0 \tindex_1 1.0 \tindex_2 0.0\n",
            "\n",
            "TK Curran \n",
            "Runs :  106 \tMatches :  8 \tBalls :  91 \n",
            "strike1 :  75.0 \tstrike_2 128.16901408450704 \tindex_1 3.75 \tindex_2 22.75\n",
            "\n",
            "B Stanlake \n",
            "Runs :  5 \tMatches :  1 \tBalls :  2 \n",
            "strike1 :  nan \tstrike_2 250.0 \tindex_1 nan \tindex_2 5.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "A Dananjaya \n",
            "Runs :  4 \tMatches :  1 \tBalls :  5 \n",
            "strike1 :  80.0 \tstrike_2 nan \tindex_1 4.0 \tindex_2 nan\n",
            "\n",
            "Shivam Mavi \n",
            "Runs :  23 \tMatches :  6 \tBalls :  29 \n",
            "strike1 :  77.77777777777779 \tstrike_2 80.0 \tindex_1 3.5 \tindex_2 4.0\n",
            "\n",
            "H Klaasen \n",
            "Runs :  66 \tMatches :  6 \tBalls :  58 \n",
            "strike1 :  131.0344827586207 \tstrike_2 96.55172413793103 \tindex_1 19.0 \tindex_2 7.0\n",
            "\n",
            "LE Plunkett \n",
            "Runs :  1 \tMatches :  2 \tBalls :  3 \n",
            "strike1 :  50.0 \tstrike_2 0.0 \tindex_1 1.0 \tindex_2 0.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Mustafizur Rahman \n",
            "Runs :  1 \tMatches :  1 \tBalls :  3 \n",
            "strike1 :  nan \tstrike_2 33.33333333333333 \tindex_1 nan \tindex_2 1.0\n",
            "\n",
            "AD Hales \n",
            "Runs :  148 \tMatches :  6 \tBalls :  119 \n",
            "strike1 :  98.11320754716981 \tstrike_2 145.45454545454547 \tindex_1 17.333333333333332 \tindex_2 32.0\n",
            "\n",
            "MK Lomror \n",
            "Runs :  87 \tMatches :  6 \tBalls :  78 \n",
            "strike1 :  125.49019607843137 \tstrike_2 85.18518518518519 \tindex_1 21.333333333333332 \tindex_2 7.666666666666667\n",
            "\n",
            "DR Shorey \n",
            "Runs :  13 \tMatches :  2 \tBalls :  20 \n",
            "strike1 :  nan \tstrike_2 65.0 \tindex_1 nan \tindex_2 6.5\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "P Chopra \n",
            "Runs :  8 \tMatches :  1 \tBalls :  6 \n",
            "strike1 :  nan \tstrike_2 133.33333333333331 \tindex_1 nan \tindex_2 8.0\n",
            "\n",
            "JPR Scantlebury-Searles \n",
            "Runs :  8 \tMatches :  2 \tBalls :  6 \n",
            "strike1 :  133.33333333333331 \tstrike_2 nan \tindex_1 4.0 \tindex_2 nan\n",
            "\n",
            "IS Sodhi \n",
            "Runs :  7 \tMatches :  2 \tBalls :  18 \n",
            "strike1 :  38.88888888888889 \tstrike_2 nan \tindex_1 3.5 \tindex_2 nan\n",
            "\n",
            "SP Goswami \n",
            "Runs :  52 \tMatches :  5 \tBalls :  47 \n",
            "strike1 :  123.80952380952381 \tstrike_2 0.0 \tindex_1 17.333333333333332 \tindex_2 0.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Harpreet Brar \n",
            "Runs :  20 \tMatches :  1 \tBalls :  14 \n",
            "strike1 :  142.85714285714286 \tstrike_2 nan \tindex_1 20.0 \tindex_2 nan\n",
            "\n",
            "SE Rutherford \n",
            "Runs :  73 \tMatches :  7 \tBalls :  55 \n",
            "strike1 :  152.0 \tstrike_2 116.66666666666667 \tindex_1 19.0 \tindex_2 7.0\n",
            "\n",
            "Y Prithvi Raj \n",
            "Runs :  0 \tMatches :  1 \tBalls :  1 \n",
            "strike1 :  0.0 \tstrike_2 nan \tindex_1 0.0 \tindex_2 nan\n",
            "\n",
            "P Simran Singh \n",
            "Runs :  31 \tMatches :  3 \tBalls :  33 \n",
            "strike1 :  nan \tstrike_2 93.93939393939394 \tindex_1 nan \tindex_2 10.333333333333334\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "J Suchith \n",
            "Runs :  6 \tMatches :  1 \tBalls :  15 \n",
            "strike1 :  nan \tstrike_2 40.0 \tindex_1 nan \tindex_2 6.0\n",
            "\n",
            "JL Pattinson \n",
            "Runs :  15 \tMatches :  2 \tBalls :  13 \n",
            "strike1 :  115.38461538461537 \tstrike_2 nan \tindex_1 7.5 \tindex_2 nan\n",
            "\n",
            "A Nortje \n",
            "Runs :  7 \tMatches :  3 \tBalls :  6 \n",
            "strike1 :  300.0 \tstrike_2 80.0 \tindex_1 3.0 \tindex_2 2.0\n",
            "\n",
            "D Padikkal \n",
            "Runs :  473 \tMatches :  15 \tBalls :  398 \n",
            "strike1 :  121.05263157894737 \tstrike_2 113.27433628318585 \tindex_1 34.5 \tindex_2 25.6\n",
            "\n",
            "JR Philippe \n",
            "Runs :  78 \tMatches :  5 \tBalls :  80 \n",
            "strike1 :  101.29870129870129 \tstrike_2 0.0 \tindex_1 19.5 \tindex_2 0.0\n",
            "\n",
            "PK Garg \n",
            "Runs :  133 \tMatches :  10 \tBalls :  116 \n",
            "strike1 :  183.33333333333331 \tstrike_2 83.75 \tindex_1 22.0 \tindex_2 9.571428571428571\n",
            "\n",
            "T Natarajan \n",
            "Runs :  3 \tMatches :  2 \tBalls :  5 \n",
            "strike1 :  nan \tstrike_2 60.0 \tindex_1 nan \tindex_2 1.5\n",
            "\n",
            "YBK Jaiswal \n",
            "Runs :  40 \tMatches :  3 \tBalls :  44 \n",
            "strike1 :  100.0 \tstrike_2 89.47368421052632 \tindex_1 6.0 \tindex_2 17.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "RD Gaikwad \n",
            "Runs :  204 \tMatches :  6 \tBalls :  173 \n",
            "strike1 :  0.0 \tstrike_2 121.42857142857142 \tindex_1 0.0 \tindex_2 40.8\n",
            "\n",
            "KL Nagarkoti \n",
            "Runs :  22 \tMatches :  6 \tBalls :  32 \n",
            "strike1 :  68.18181818181817 \tstrike_2 70.0 \tindex_1 3.75 \tindex_2 3.5\n",
            "\n",
            "Abdul Samad \n",
            "Runs :  111 \tMatches :  7 \tBalls :  66 \n",
            "strike1 :  140.0 \tstrike_2 180.43478260869566 \tindex_1 9.333333333333334 \tindex_2 20.75\n",
            "\n",
            "JDS Neesham \n",
            "Runs :  19 \tMatches :  3 \tBalls :  18 \n",
            "strike1 :  66.66666666666666 \tstrike_2 113.33333333333333 \tindex_1 2.0 \tindex_2 8.5\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Ravi Bishnoi \n",
            "Runs :  7 \tMatches :  2 \tBalls :  12 \n",
            "strike1 :  nan \tstrike_2 58.333333333333336 \tindex_1 nan \tindex_2 3.5\n",
            "\n",
            "I Udana \n",
            "Runs :  15 \tMatches :  4 \tBalls :  11 \n",
            "strike1 :  175.0 \tstrike_2 33.33333333333333 \tindex_1 4.666666666666667 \tindex_2 1.0\n",
            "\n",
            "CV Varun \n",
            "Runs :  10 \tMatches :  3 \tBalls :  16 \n",
            "strike1 :  60.0 \tstrike_2 63.63636363636363 \tindex_1 1.5 \tindex_2 7.0\n",
            "\n",
            "SS Cottrell \n",
            "Runs :  0 \tMatches :  1 \tBalls :  2 \n",
            "strike1 :  nan \tstrike_2 0.0 \tindex_1 nan \tindex_2 0.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Arshdeep Singh \n",
            "Runs :  0 \tMatches :  1 \tBalls :  3 \n",
            "strike1 :  nan \tstrike_2 0.0 \tindex_1 nan \tindex_2 0.0\n",
            "\n",
            "Kartik Tyagi \n",
            "Runs :  4 \tMatches :  2 \tBalls :  6 \n",
            "strike1 :  nan \tstrike_2 66.66666666666666 \tindex_1 nan \tindex_2 2.0\n",
            "\n",
            "N Jagadeesan \n",
            "Runs :  33 \tMatches :  2 \tBalls :  31 \n",
            "strike1 :  0.0 \tstrike_2 110.00000000000001 \tindex_1 0.0 \tindex_2 33.0\n",
            "\n",
            "AT Carey \n",
            "Runs :  32 \tMatches :  3 \tBalls :  29 \n",
            "strike1 :  127.27272727272727 \tstrike_2 57.14285714285714 \tindex_1 14.0 \tindex_2 4.0\n",
            "\n",
            "T Banton \n",
            "Runs :  18 \tMatches :  2 \tBalls :  22 \n",
            "strike1 :  125.0 \tstrike_2 57.14285714285714 \tindex_1 10.0 \tindex_2 8.0\n",
            "\n",
            "TU Deshpande \n",
            "Runs :  21 \tMatches :  2 \tBalls :  12 \n",
            "strike1 :  nan \tstrike_2 175.0 \tindex_1 nan \tindex_2 10.5\n",
            "\n",
            "Shahbaz Ahmed \n",
            "Runs :  1 \tMatches :  1 \tBalls :  1 \n",
            "strike1 :  100.0 \tstrike_2 nan \tindex_1 1.0 \tindex_2 nan\n",
            "\n",
            "P Dubey \n",
            "Runs :  7 \tMatches :  1 \tBalls :  13 \n",
            "strike1 :  53.84615384615385 \tstrike_2 nan \tindex_1 7.0 \tindex_2 nan\n",
            "\n",
            "DR Sams \n",
            "Runs :  0 \tMatches :  1 \tBalls :  2 \n",
            "strike1 :  nan \tstrike_2 0.0 \tindex_1 nan \tindex_2 0.0\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  app.launch_new_instance()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: RuntimeWarning: invalid value encountered in long_scalars\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in long_scalars\n",
            "  from ipykernel import kernelapp as app\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in long_scalars\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        },
        "id": "g5efJjA2-PEz",
        "outputId": "9caa8960-e618-4b56-a661-c0b6ce18c9a3"
      },
      "source": [
        "batsmandata.fillna(0)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>batsman</th>\n",
              "      <th>runs</th>\n",
              "      <th>matches</th>\n",
              "      <th>balls</th>\n",
              "      <th>strike_1</th>\n",
              "      <th>strike_2</th>\n",
              "      <th>index_1</th>\n",
              "      <th>index_2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>LMP Simmons</td>\n",
              "      <td>145</td>\n",
              "      <td>8</td>\n",
              "      <td>124</td>\n",
              "      <td>111.428571</td>\n",
              "      <td>124.074074</td>\n",
              "      <td>15.600000</td>\n",
              "      <td>22.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>RG Sharma</td>\n",
              "      <td>1845</td>\n",
              "      <td>71</td>\n",
              "      <td>1464</td>\n",
              "      <td>125.336927</td>\n",
              "      <td>126.731302</td>\n",
              "      <td>23.250000</td>\n",
              "      <td>29.516129</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>HH Pandya</td>\n",
              "      <td>1237</td>\n",
              "      <td>66</td>\n",
              "      <td>829</td>\n",
              "      <td>154.432990</td>\n",
              "      <td>141.860465</td>\n",
              "      <td>20.243243</td>\n",
              "      <td>16.827586</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>JC Buttler</td>\n",
              "      <td>1714</td>\n",
              "      <td>57</td>\n",
              "      <td>1184</td>\n",
              "      <td>128.139535</td>\n",
              "      <td>154.244032</td>\n",
              "      <td>25.045455</td>\n",
              "      <td>33.228571</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AT Rayudu</td>\n",
              "      <td>1668</td>\n",
              "      <td>61</td>\n",
              "      <td>1370</td>\n",
              "      <td>130.332681</td>\n",
              "      <td>116.647264</td>\n",
              "      <td>26.640000</td>\n",
              "      <td>27.833333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>262</th>\n",
              "      <td>T Banton</td>\n",
              "      <td>18</td>\n",
              "      <td>2</td>\n",
              "      <td>22</td>\n",
              "      <td>125.000000</td>\n",
              "      <td>57.142857</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>8.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>263</th>\n",
              "      <td>TU Deshpande</td>\n",
              "      <td>21</td>\n",
              "      <td>2</td>\n",
              "      <td>12</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>175.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>10.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>264</th>\n",
              "      <td>Shahbaz Ahmed</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>265</th>\n",
              "      <td>P Dubey</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>13</td>\n",
              "      <td>53.846154</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>266</th>\n",
              "      <td>DR Sams</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>267 rows × 8 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           batsman  runs  matches  ...    strike_2    index_1    index_2\n",
              "0      LMP Simmons   145        8  ...  124.074074  15.600000  22.333333\n",
              "1        RG Sharma  1845       71  ...  126.731302  23.250000  29.516129\n",
              "2        HH Pandya  1237       66  ...  141.860465  20.243243  16.827586\n",
              "3       JC Buttler  1714       57  ...  154.244032  25.045455  33.228571\n",
              "4        AT Rayudu  1668       61  ...  116.647264  26.640000  27.833333\n",
              "..             ...   ...      ...  ...         ...        ...        ...\n",
              "262       T Banton    18        2  ...   57.142857  10.000000   8.000000\n",
              "263   TU Deshpande    21        2  ...  175.000000   0.000000  10.500000\n",
              "264  Shahbaz Ahmed     1        1  ...    0.000000   1.000000   0.000000\n",
              "265        P Dubey     7        1  ...    0.000000   7.000000   0.000000\n",
              "266        DR Sams     0        1  ...    0.000000   0.000000   0.000000\n",
              "\n",
              "[267 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pQI5Ea7N-94E"
      },
      "source": [
        "batsmandata = batsmandata.fillna(0)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WG_a_-SZvVpz",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        },
        "outputId": "d1fb51c8-d6e5-4069-c263-cd99c3c23dda"
      },
      "source": [
        "batsmandata"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>batsman</th>\n",
              "      <th>runs</th>\n",
              "      <th>matches</th>\n",
              "      <th>balls</th>\n",
              "      <th>strike_1</th>\n",
              "      <th>strike_2</th>\n",
              "      <th>index_1</th>\n",
              "      <th>index_2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>LMP Simmons</td>\n",
              "      <td>145</td>\n",
              "      <td>8</td>\n",
              "      <td>124</td>\n",
              "      <td>111.428571</td>\n",
              "      <td>124.074074</td>\n",
              "      <td>15.600000</td>\n",
              "      <td>22.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>RG Sharma</td>\n",
              "      <td>1845</td>\n",
              "      <td>71</td>\n",
              "      <td>1464</td>\n",
              "      <td>125.336927</td>\n",
              "      <td>126.731302</td>\n",
              "      <td>23.250000</td>\n",
              "      <td>29.516129</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>HH Pandya</td>\n",
              "      <td>1237</td>\n",
              "      <td>66</td>\n",
              "      <td>829</td>\n",
              "      <td>154.432990</td>\n",
              "      <td>141.860465</td>\n",
              "      <td>20.243243</td>\n",
              "      <td>16.827586</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>JC Buttler</td>\n",
              "      <td>1714</td>\n",
              "      <td>57</td>\n",
              "      <td>1184</td>\n",
              "      <td>128.139535</td>\n",
              "      <td>154.244032</td>\n",
              "      <td>25.045455</td>\n",
              "      <td>33.228571</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AT Rayudu</td>\n",
              "      <td>1668</td>\n",
              "      <td>61</td>\n",
              "      <td>1370</td>\n",
              "      <td>130.332681</td>\n",
              "      <td>116.647264</td>\n",
              "      <td>26.640000</td>\n",
              "      <td>27.833333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>262</th>\n",
              "      <td>T Banton</td>\n",
              "      <td>18</td>\n",
              "      <td>2</td>\n",
              "      <td>22</td>\n",
              "      <td>125.000000</td>\n",
              "      <td>57.142857</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>8.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>263</th>\n",
              "      <td>TU Deshpande</td>\n",
              "      <td>21</td>\n",
              "      <td>2</td>\n",
              "      <td>12</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>175.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>10.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>264</th>\n",
              "      <td>Shahbaz Ahmed</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>265</th>\n",
              "      <td>P Dubey</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>13</td>\n",
              "      <td>53.846154</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>266</th>\n",
              "      <td>DR Sams</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>267 rows × 8 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           batsman  runs  matches  ...    strike_2    index_1    index_2\n",
              "0      LMP Simmons   145        8  ...  124.074074  15.600000  22.333333\n",
              "1        RG Sharma  1845       71  ...  126.731302  23.250000  29.516129\n",
              "2        HH Pandya  1237       66  ...  141.860465  20.243243  16.827586\n",
              "3       JC Buttler  1714       57  ...  154.244032  25.045455  33.228571\n",
              "4        AT Rayudu  1668       61  ...  116.647264  26.640000  27.833333\n",
              "..             ...   ...      ...  ...         ...        ...        ...\n",
              "262       T Banton    18        2  ...   57.142857  10.000000   8.000000\n",
              "263   TU Deshpande    21        2  ...  175.000000   0.000000  10.500000\n",
              "264  Shahbaz Ahmed     1        1  ...    0.000000   1.000000   0.000000\n",
              "265        P Dubey     7        1  ...    0.000000   7.000000   0.000000\n",
              "266        DR Sams     0        1  ...    0.000000   0.000000   0.000000\n",
              "\n",
              "[267 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SjpffMiU_fwo",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d5e47f92-c0eb-4a82-db9e-078f90e520b7"
      },
      "source": [
        "import math\n",
        "for bowler in bowler_list:\n",
        "  wickets = len(indexdata[(indexdata['bowler']==bowler) & (indexdata['player_dismissed']!='notout')])\n",
        "  matches = len(indexdata[indexdata['bowler']==bowler]['match_id'].unique())\n",
        "  bowler_matches = list(indexdata[indexdata['bowler']==bowler]['match_id'].unique())\n",
        "  match_stats = list()\n",
        "  match_index = list()\n",
        "  match_index2 = list()\n",
        "  for bowlmatch in bowler_matches:\n",
        "    match_wickets = len(indexdata[(indexdata['bowler']==bowler) & (indexdata['match_id']==bowlmatch) & (indexdata['player_dismissed']!='notout')])\n",
        "    match_runs = indexdata[(indexdata['bowler']==bowler) & (indexdata['match_id']==bowlmatch)]['runs_off_bat'].sum() + indexdata[(indexdata['bowler']==bowler) & (indexdata['match_id']==bowlmatch)]['extras'].sum()\n",
        "    balls = len(indexdata[(indexdata['bowler']==bowler) & (indexdata['match_id']==bowlmatch)])\n",
        "    data = str(match_wickets)+'/'+str(match_runs)+'-'+str(math.ceil(balls/6))\n",
        "    match_stats.append(data)\n",
        "    match_index.append(match_runs/((math.ceil(balls/6))*(match_wickets+1)))\n",
        "    match_index2.append(match_runs/math.ceil(balls/6))\n",
        "  balls = len(indexdata[indexdata['bowler']==bowler])\n",
        "  print(bowler,\"\\nWickets : \",wickets,'\\tMatches : ',matches,'\\tBalls : ',balls,'\\nMatchStats : ',match_stats ,'\\nMatchIndex : ',match_index,'\\nAvgIndex',sum(match_index)/len(match_index),'\\nAvgIndex2', (sum(match_index2)/len(match_index2) / (wickets+1/len(match_index2))))\n",
        "  print(\"Economy rate : \",sum(match_index2)/len(match_index2),'\\t Avgwicket/match : ',(wickets+1))\n",
        "  bowlerdata = bowlerdata.append({'bowler':bowler,'wickets':wickets,'matches':matches,'balls':balls,'A1index':sum(match_index)/len(match_index),'A2index':(sum(match_index)/len(match_index) )/(len(match_index2) / (wickets+1/matches))}, ignore_index=True)\n",
        "  print()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "RP Singh \n",
            "Wickets :  3 \tMatches :  4 \tBalls :  76 \n",
            "MatchStats :  ['1/30-4', '0/22-3', '1/39-5', '1/23-4'] \n",
            "MatchIndex :  [3.75, 7.333333333333333, 3.9, 2.875] \n",
            "AvgIndex 4.464583333333334 \n",
            "AvgIndex2 2.183333333333333\n",
            "Economy rate :  7.095833333333333 \t Avgwicket/match :  4\n",
            "\n",
            "I Sharma \n",
            "Wickets :  17 \tMatches :  24 \tBalls :  516 \n",
            "MatchStats :  ['2/37-5', '1/41-4', '0/26-3', '0/47-5', '0/21-3', '0/25-5', '0/60-4', '0/42-4', '0/30-4', '0/12-1', '3/35-4', '1/32-3', '1/5-2', '0/32-5', '1/22-5', '0/19-4', '0/18-3', '0/29-5', '1/30-4', '1/41-4', '3/38-5', '2/35-4', '1/28-4', '0/26-4'] \n",
            "MatchIndex :  [2.466666666666667, 5.125, 8.666666666666666, 9.4, 7.0, 5.0, 15.0, 10.5, 7.5, 12.0, 2.1875, 5.333333333333333, 1.25, 6.4, 2.2, 4.75, 6.0, 5.8, 3.75, 5.125, 1.9, 2.9166666666666665, 3.5, 6.5] \n",
            "AvgIndex 5.844618055555556 \n",
            "AvgIndex2 0.4635289323553382\n",
            "Economy rate :  7.899305555555556 \t Avgwicket/match :  18\n",
            "\n",
            "MR Marsh \n",
            "Wickets :  4 \tMatches :  4 \tBalls :  59 \n",
            "MatchStats :  ['2/21-5', '0/10-1', '2/14-4', '0/6-1'] \n",
            "MatchIndex :  [1.4, 10.0, 1.1666666666666667, 6.0] \n",
            "AvgIndex 4.641666666666667 \n",
            "AvgIndex2 1.3941176470588235\n",
            "Economy rate :  5.925 \t Avgwicket/match :  5\n",
            "\n",
            "R Bhatia \n",
            "Wickets :  8 \tMatches :  13 \tBalls :  251 \n",
            "MatchStats :  ['1/10-4', '0/31-4', '0/22-3', '2/19-4', '0/24-4', '1/26-3', '0/21-3', '2/22-5', '0/47-4', '0/27-3', '2/14-3', '0/20-3', '0/21-2'] \n",
            "MatchIndex :  [1.25, 7.75, 7.333333333333333, 1.5833333333333333, 6.0, 4.333333333333333, 7.0, 1.4666666666666666, 11.75, 9.0, 1.5555555555555556, 6.666666666666667, 10.5] \n",
            "AvgIndex 5.860683760683761 \n",
            "AvgIndex2 0.8665079365079367\n",
            "Economy rate :  6.99871794871795 \t Avgwicket/match :  9\n",
            "\n",
            "M Ashwin \n",
            "Wickets :  25 \tMatches :  31 \tBalls :  623 \n",
            "MatchStats :  ['1/16-4', '2/34-5', '3/36-4', '0/29-2', '1/32-5', '0/6-1', '0/22-3', '0/25-3', '0/32-3', '0/13-2', '2/26-4', '0/19-2', '0/23-5', '0/24-4', '1/24-5', '2/37-5', '1/17-4', '0/21-4', '1/31-4', '1/32-5', '0/24-2', '0/33-3', '3/22-4', '1/16-2', '2/23-4', '0/32-3', '1/33-5', '1/27-4', '1/27-4', '1/43-4', '0/17-4'] \n",
            "MatchIndex :  [2.0, 2.2666666666666666, 2.25, 14.5, 3.2, 6.0, 7.333333333333333, 8.333333333333334, 10.666666666666666, 6.5, 2.1666666666666665, 9.5, 4.6, 6.0, 2.4, 2.466666666666667, 2.125, 5.25, 3.875, 3.2, 12.0, 11.0, 1.375, 4.0, 1.9166666666666667, 10.666666666666666, 3.3, 3.375, 3.375, 5.375, 4.25] \n",
            "AvgIndex 5.331182795698925 \n",
            "AvgIndex2 0.29639175257731953\n",
            "Economy rate :  7.419354838709676 \t Avgwicket/match :  26\n",
            "\n",
            "R Ashwin \n",
            "Wickets :  54 \tMatches :  57 \tBalls :  1246 \n",
            "MatchStats :  ['1/7-1', '0/26-5', '0/27-4', '0/22-4', '0/21-3', '1/15-4', '0/37-5', '1/21-3', '1/34-5', '0/7-1', '1/16-5', '2/31-3', '0/23-5', '4/34-4', '2/20-4', '0/47-5', '0/26-5', '2/31-5', '3/23-5', '2/30-4', '1/37-4', '1/30-5', '2/24-5', '1/23-5', '2/30-4', '1/33-5', '0/53-5', '1/33-5', '1/19-4', '0/34-4', '0/23-4', '1/30-4', '0/34-4', '0/36-3', '0/9-1', '2/18-3', '2/36-5', '0/26-4', '1/15-4', '2/30-5', '1/38-5', '0/23-4', '2/2-1', '0/26-3', '1/26-5', '2/22-5', '1/35-4', '1/17-4', '0/30-3', '2/28-5', '0/45-3', '1/35-3', '1/18-4', '0/18-4', '3/29-4', '0/34-4', '1/28-4'] \n",
            "MatchIndex :  [3.5, 5.2, 6.75, 5.5, 7.0, 1.875, 7.4, 3.5, 3.4, 7.0, 1.6, 3.4444444444444446, 4.6, 1.7, 1.6666666666666667, 9.4, 5.2, 2.066666666666667, 1.15, 2.5, 4.625, 3.0, 1.6, 2.3, 2.5, 3.3, 10.6, 3.3, 2.375, 8.5, 5.75, 3.75, 8.5, 12.0, 9.0, 2.0, 2.4, 6.5, 1.875, 2.0, 3.8, 5.75, 0.6666666666666666, 8.666666666666666, 2.6, 1.4666666666666666, 4.375, 2.125, 10.0, 1.8666666666666667, 15.0, 5.833333333333333, 2.25, 4.5, 1.8125, 8.5, 3.5] \n",
            "AvgIndex 4.61474171539961 \n",
            "AvgIndex2 0.12665367543574754\n",
            "Economy rate :  6.841520467836258 \t Avgwicket/match :  55\n",
            "\n",
            "MJ McClenaghan \n",
            "Wickets :  57 \tMatches :  44 \tBalls :  1041 \n",
            "MatchStats :  ['0/27-3', '2/25-5', '4/26-4', '0/33-4', '1/48-4', '2/32-5', '2/32-5', '1/33-4', '1/27-5', '1/39-5', '1/37-5', '2/24-4', '1/27-4', '0/39-4', '1/36-4', '1/52-5', '1/42-4', '2/20-5', '2/24-5', '2/47-5', '3/25-5', '0/37-5', '0/50-5', '4/34-4', '1/18-2', '1/26-5', '1/54-5', '1/47-5', '3/40-4', '0/24-2', '0/35-5', '1/44-5', '2/24-3', '1/32-4', '3/26-4', '2/26-4', '2/35-5', '1/31-5', '1/30-4', '1/24-3', '0/29-5', '2/39-5', '0/20-5', '0/24-5'] \n",
            "MatchIndex :  [9.0, 1.6666666666666667, 1.3, 8.25, 6.0, 2.1333333333333333, 2.1333333333333333, 4.125, 2.7, 3.9, 3.7, 2.0, 3.375, 9.75, 4.5, 5.2, 5.25, 1.3333333333333333, 1.6, 3.1333333333333333, 1.25, 7.4, 10.0, 1.7, 4.5, 2.6, 5.4, 4.7, 2.5, 12.0, 7.0, 4.4, 2.6666666666666665, 4.0, 1.625, 2.1666666666666665, 2.3333333333333335, 3.1, 3.75, 4.0, 5.8, 2.6, 4.0, 4.8] \n",
            "AvgIndex 4.212310606060607 \n",
            "AvgIndex2 0.13399760860900758\n",
            "Economy rate :  7.6409090909090915 \t Avgwicket/match :  58\n",
            "\n",
            "JJ Bumrah \n",
            "Wickets :  107 \tMatches :  75 \tBalls :  1770 \n",
            "MatchStats :  ['0/30-4', '1/32-4', '2/32-5', '0/19-4', '4/31-4', '0/42-5', '3/27-4', '0/35-4', '3/30-4', '0/35-4', '1/30-4', '0/14-3', '3/14-4', '1/42-5', '0/29-4', '1/39-5', '3/24-4', '1/40-5', '0/46-5', '1/31-5', '2/21-5', '2/30-4', '3/32-5', '1/34-4', '1/6-1', '1/24-4', '1/25-4', '1/34-4', '3/7-3', '2/27-4', '1/41-4', '4/21-5', '0/23-4', '0/28-5', '1/16-3', '1/39-5', '2/24-4', '0/24-4', '1/37-5', '2/32-4', '0/27-4', '2/29-5', '2/28-5', '1/25-4', '0/26-5', '1/22-4', '1/20-4', '1/42-4', '1/17-3', '1/34-4', '3/15-5', '1/29-5', '3/19-4', '1/22-4', '2/11-4', '0/45-5', '2/31-4', '2/31-5', '0/31-5', '2/19-4', '1/43-5', '2/34-5', '0/48-5', '2/19-4', '2/44-5', '4/20-4', '0/26-4', '1/22-5', '3/24-5', '2/26-4', '0/40-5', '3/14-5', '4/17-5', '4/14-5', '0/29-4'] \n",
            "MatchIndex :  [7.5, 4.0, 2.1333333333333333, 4.75, 1.55, 8.4, 1.6875, 8.75, 1.875, 8.75, 3.75, 4.666666666666667, 0.875, 4.2, 7.25, 3.9, 1.5, 4.0, 9.2, 3.1, 1.4, 2.5, 1.6, 4.25, 3.0, 3.0, 3.125, 4.25, 0.5833333333333334, 2.25, 5.125, 0.84, 5.75, 5.6, 2.6666666666666665, 3.9, 2.0, 6.0, 3.7, 2.6666666666666665, 6.75, 1.9333333333333333, 1.8666666666666667, 3.125, 5.2, 2.75, 2.5, 5.25, 2.8333333333333335, 4.25, 0.75, 2.9, 1.1875, 2.75, 0.9166666666666666, 9.0, 2.5833333333333335, 2.066666666666667, 6.2, 1.5833333333333333, 4.3, 2.2666666666666666, 9.6, 1.5833333333333333, 2.933333333333333, 1.0, 6.5, 2.2, 1.2, 2.1666666666666665, 8.0, 0.7, 0.68, 0.56, 7.25] \n",
            "AvgIndex 3.6450666666666667 \n",
            "AvgIndex2 0.06009220034886619\n",
            "Economy rate :  6.430666666666667 \t Avgwicket/match :  108\n",
            "\n",
            "R Vinay Kumar \n",
            "Wickets :  8 \tMatches :  6 \tBalls :  102 \n",
            "MatchStats :  ['0/14-3', '2/33-4', '2/18-3', '2/31-4', '2/30-2', '0/35-3'] \n",
            "MatchIndex :  [4.666666666666667, 2.75, 2.0, 2.5833333333333335, 5.0, 11.666666666666666] \n",
            "AvgIndex 4.777777777777778 \n",
            "AvgIndex2 1.08843537414966\n",
            "Economy rate :  8.88888888888889 \t Avgwicket/match :  9\n",
            "\n",
            "S Gopal \n",
            "Wickets :  42 \tMatches :  39 \tBalls :  800 \n",
            "MatchStats :  ['0/19-3', '0/5-1', '3/27-4', '0/23-3', '3/12-4', '2/36-4', '0/31-4', '0/21-4', '0/32-4', '0/18-3', '2/24-4', '1/24-3', '3/20-5', '0/30-3', '1/26-2', '0/26-3', '0/21-2', '4/16-4', '1/34-4', '2/21-4', '2/47-5', '1/32-3', '2/30-4', '3/12-1', '2/21-4', '1/38-4', '0/44-5', '0/43-4', '1/27-4', '2/29-4', '0/23-2', '0/31-4', '1/31-5', '1/33-5', '1/14-4', '0/32-4', '2/30-4', '0/10-1', '1/44-4'] \n",
            "MatchIndex :  [6.333333333333333, 5.0, 1.6875, 7.666666666666667, 0.75, 3.0, 7.75, 5.25, 8.0, 6.0, 2.0, 4.0, 1.0, 10.0, 6.5, 8.666666666666666, 10.5, 0.8, 4.25, 1.75, 3.1333333333333333, 5.333333333333333, 2.5, 3.0, 1.75, 4.75, 8.8, 10.75, 3.375, 2.4166666666666665, 11.5, 7.75, 3.1, 3.3, 1.75, 8.0, 2.5, 10.0, 5.5] \n",
            "AvgIndex 5.131089743589744 \n",
            "AvgIndex2 0.1846146023998373\n",
            "Economy rate :  7.758547008547009 \t Avgwicket/match :  43\n",
            "\n",
            "Harbhajan Singh \n",
            "Wickets :  42 \tMatches :  48 \tBalls :  1009 \n",
            "MatchStats :  ['1/24-3', '1/33-4', '0/20-2', '0/39-5', '0/20-3', '1/25-3', '0/31-4', '1/32-4', '1/25-5', '2/29-5', '0/19-3', '0/35-4', '1/34-4', '1/36-4', '0/27-4', '2/24-4', '0/25-4', '1/22-4', '0/12-2', '0/26-4', '1/20-4', '1/23-5', '3/22-4', '0/23-4', '0/45-3', '4/22-4', '0/30-5', '2/17-4', '3/15-4', '0/14-2', '1/11-2', '1/41-4', '0/24-2', '1/20-4', '0/26-5', '1/20-3', '2/22-4', '1/29-2', '0/26-3', '0/24-2', '0/13-1', '2/39-4', '0/23-4', '1/28-4', '3/58-5', '1/25-5', '2/31-4', '0/27-5'] \n",
            "MatchIndex :  [4.0, 4.125, 10.0, 7.8, 6.666666666666667, 4.166666666666667, 7.75, 4.0, 2.5, 1.9333333333333333, 6.333333333333333, 8.75, 4.25, 4.5, 6.75, 2.0, 6.25, 2.75, 6.0, 6.5, 2.5, 2.3, 1.375, 5.75, 15.0, 1.1, 6.0, 1.4166666666666667, 0.9375, 7.0, 2.75, 5.125, 12.0, 2.5, 5.2, 3.3333333333333335, 1.8333333333333333, 7.25, 8.666666666666666, 12.0, 13.0, 3.25, 5.75, 3.5, 2.9, 2.5, 2.5833333333333335, 5.4] \n",
            "AvgIndex 5.207204861111111 \n",
            "AvgIndex2 0.17752437613617583\n",
            "Economy rate :  7.459722222222222 \t Avgwicket/match :  43\n",
            "\n",
            "HH Pandya \n",
            "Wickets :  44 \tMatches :  52 \tBalls :  807 \n",
            "MatchStats :  ['0/12-1', '1/22-3', '0/17-3', '0/29-3', '0/19-2', '1/7-1', '1/15-2', '0/14-3', '0/10-1', '0/10-2', '1/37-4', '1/24-4', '1/9-2', '0/15-1', '0/19-2', '1/25-4', '0/5-1', '0/2-1', '0/13-1', '0/29-3', '2/22-4', '0/15-1', '0/4-1', '1/42-5', '0/38-3', '0/39-4', '3/24-5', '0/7-1', '2/57-5', '0/11-2', '1/22-3', '3/24-5', '0/32-2', '0/4-1', '2/25-3', '2/20-4', '1/40-4', '3/28-4', '1/48-5', '2/19-5', '3/16-3', '2/52-4', '0/43-5', '0/40-5', '1/17-2', '1/31-4', '1/22-3', '1/31-4', '2/20-2', '2/20-3', '0/13-2', '1/3-2'] \n",
            "MatchIndex :  [12.0, 3.6666666666666665, 5.666666666666667, 9.666666666666666, 9.5, 3.5, 3.75, 4.666666666666667, 10.0, 5.0, 4.625, 3.0, 2.25, 15.0, 9.5, 3.125, 5.0, 2.0, 13.0, 9.666666666666666, 1.8333333333333333, 15.0, 4.0, 4.2, 12.666666666666666, 9.75, 1.2, 7.0, 3.8, 5.5, 3.6666666666666665, 1.2, 16.0, 4.0, 2.7777777777777777, 1.6666666666666667, 5.0, 1.75, 4.8, 1.2666666666666666, 1.3333333333333333, 4.333333333333333, 8.6, 8.0, 4.25, 3.875, 3.6666666666666665, 3.875, 3.3333333333333335, 2.2222222222222223, 6.5, 0.75] \n",
            "AvgIndex 5.623076923076923 \n",
            "AvgIndex2 0.1788189893694481\n",
            "Economy rate :  7.871474358974359 \t Avgwicket/match :  45\n",
            "\n",
            "AD Russell \n",
            "Wickets :  50 \tMatches :  46 \tBalls :  759 \n",
            "MatchStats :  ['3/24-4', '1/52-4', '2/21-4', '0/18-1', '0/16-2', '0/28-3', '4/27-4', '1/24-5', '6/25-5', '1/21-4', '1/12-2', '0/33-3', '2/32-3', '2/21-3', '1/28-3', '0/16-1', '1/29-3', '0/16-1', '0/10-2', '0/35-4', '0/39-3', '1/25-3', '0/31-2', '1/28-4', '3/31-4', '0/12-2', '2/12-3', '0/16-3', '3/42-4', '2/13-3', '1/35-4', '0/22-3', '0/9-1', '1/17-3', '0/8-1', '1/32-3', '2/25-4', '1/30-4', '0/34-3', '1/17-2', '2/18-3', '2/29-4', '1/18-2', '1/51-5', '0/15-2', '0/30-3'] \n",
            "MatchIndex :  [1.5, 6.5, 1.75, 18.0, 8.0, 9.333333333333334, 1.35, 2.4, 0.7142857142857143, 2.625, 3.0, 11.0, 3.5555555555555554, 2.3333333333333335, 4.666666666666667, 16.0, 4.833333333333333, 16.0, 5.0, 8.75, 13.0, 4.166666666666667, 15.5, 3.5, 1.9375, 6.0, 1.3333333333333333, 5.333333333333333, 2.625, 1.4444444444444444, 4.375, 7.333333333333333, 9.0, 2.8333333333333335, 8.0, 5.333333333333333, 2.0833333333333335, 3.75, 11.333333333333334, 4.25, 2.0, 2.4166666666666665, 4.5, 5.1, 7.5, 10.0] \n",
            "AvgIndex 5.912176501035198 \n",
            "AvgIndex2 0.17188179052585834\n",
            "Economy rate :  8.597826086956522 \t Avgwicket/match :  51\n",
            "\n",
            "UT Yadav \n",
            "Wickets :  60 \tMatches :  50 \tBalls :  1082 \n",
            "MatchStats :  ['0/21-3', '3/28-5', '2/17-3', '1/21-2', '1/19-3', '3/38-3', '2/56-5', '0/28-4', '0/18-2', '4/33-5', '0/29-4', '1/53-4', '1/18-2', '1/17-3', '1/29-4', '1/39-5', '0/31-4', '1/28-4', '3/36-5', '1/27-4', '1/44-4', '2/21-5', '1/27-3', '0/13-4', '2/26-5', '0/47-4', '0/40-4', '0/42-5', '0/25-3', '2/28-5', '3/23-4', '0/59-5', '2/37-5', '1/27-4', '1/23-4', '0/36-4', '2/31-5', '2/16-3', '1/36-5', '0/29-4', '3/23-4', '0/31-4', '3/25-4', '3/51-5', '3/36-5', '1/39-4', '0/10-1', '0/46-5', '1/49-5', '0/37-4'] \n",
            "MatchIndex :  [7.0, 1.4, 1.8888888888888888, 5.25, 3.1666666666666665, 3.1666666666666665, 3.7333333333333334, 7.0, 9.0, 1.32, 7.25, 6.625, 4.5, 2.8333333333333335, 3.625, 3.9, 7.75, 3.5, 1.8, 3.375, 5.5, 1.4, 4.5, 3.25, 1.7333333333333334, 11.75, 10.0, 8.4, 8.333333333333334, 1.8666666666666667, 1.4375, 11.8, 2.466666666666667, 3.375, 2.875, 9.0, 2.066666666666667, 1.7777777777777777, 3.6, 7.25, 1.4375, 7.75, 1.5625, 2.55, 1.8, 4.875, 10.0, 9.2, 4.9, 9.25] \n",
            "AvgIndex 4.875816666666668 \n",
            "AvgIndex2 0.13155614795068307\n",
            "Economy rate :  7.895999999999998 \t Avgwicket/match :  61\n",
            "\n",
            "JW Hastings \n",
            "Wickets :  2 \tMatches :  2 \tBalls :  42 \n",
            "MatchStats :  ['2/6-3', '0/31-5'] \n",
            "MatchIndex :  [0.6666666666666666, 6.2] \n",
            "AvgIndex 3.4333333333333336 \n",
            "AvgIndex2 1.64\n",
            "Economy rate :  4.1 \t Avgwicket/match :  3\n",
            "\n",
            "C Munro \n",
            "Wickets :  0 \tMatches :  2 \tBalls :  12 \n",
            "MatchStats :  ['0/7-1', '0/8-1'] \n",
            "MatchIndex :  [7.0, 8.0] \n",
            "AvgIndex 7.5 \n",
            "AvgIndex2 15.0\n",
            "Economy rate :  7.5 \t Avgwicket/match :  1\n",
            "\n",
            "GB Hogg \n",
            "Wickets :  5 \tMatches :  5 \tBalls :  98 \n",
            "MatchStats :  ['3/19-5', '1/39-5', '0/39-4', '0/28-2', '1/19-2'] \n",
            "MatchIndex :  [0.95, 3.9, 9.75, 14.0, 4.75] \n",
            "AvgIndex 6.67 \n",
            "AvgIndex2 1.725\n",
            "Economy rate :  8.97 \t Avgwicket/match :  6\n",
            "\n",
            "PP Chawla \n",
            "Wickets :  49 \tMatches :  52 \tBalls :  1029 \n",
            "MatchStats :  ['2/21-5', '1/29-4', '0/13-1', '1/18-4', '0/26-3', '0/24-3', '2/32-4', '2/27-5', '2/30-4', '2/21-4', '0/32-4', '1/33-5', '1/36-3', '1/36-4', '0/13-2', '1/27-3', '2/34-5', '1/23-3', '1/27-3', '1/36-4', '0/32-4', '0/19-4', '1/28-4', '0/35-3', '2/32-4', '1/31-4', '1/49-5', '1/20-4', '1/17-3', '1/18-4', '0/24-2', '1/33-4', '0/22-3', '2/39-4', '0/35-3', '3/49-4', '0/16-2', '0/19-2', '2/24-4', '1/23-3', '0/10-1', '0/38-3', '3/20-4', '1/62-4', '0/43-4', '1/21-5', '1/55-5', '2/33-4', '2/20-3', '1/22-2', '0/8-1', '0/32-3'] \n",
            "MatchIndex :  [1.4, 3.625, 13.0, 2.25, 8.666666666666666, 8.0, 2.6666666666666665, 1.8, 2.5, 1.75, 8.0, 3.3, 6.0, 4.5, 6.5, 4.5, 2.2666666666666666, 3.8333333333333335, 4.5, 4.5, 8.0, 4.75, 3.5, 11.666666666666666, 2.6666666666666665, 3.875, 4.9, 2.5, 2.8333333333333335, 2.25, 12.0, 4.125, 7.333333333333333, 3.25, 11.666666666666666, 3.0625, 8.0, 9.5, 2.0, 3.8333333333333335, 10.0, 12.666666666666666, 1.25, 7.75, 10.75, 2.1, 5.5, 2.75, 2.2222222222222223, 5.5, 8.0, 10.666666666666666] \n",
            "AvgIndex 5.469738247863249 \n",
            "AvgIndex2 0.17009938537988756\n",
            "Economy rate :  8.338141025641026 \t Avgwicket/match :  50\n",
            "\n",
            "NM Coulter-Nile \n",
            "Wickets :  26 \tMatches :  19 \tBalls :  436 \n",
            "MatchStats :  ['0/32-4', '2/29-5', '0/21-4', '2/38-4', '3/22-5', '2/41-4', '3/22-4', '3/34-4', '1/35-5', '0/41-4', '3/22-4', '1/15-3', '1/51-5', '0/33-4', '1/25-5', '1/14-2', '0/27-5', '0/27-5', '3/29-5'] \n",
            "MatchIndex :  [8.0, 1.9333333333333333, 5.25, 3.1666666666666665, 1.1, 3.4166666666666665, 1.375, 2.125, 3.5, 10.25, 1.375, 2.5, 5.1, 8.25, 2.5, 3.5, 5.4, 5.4, 1.45] \n",
            "AvgIndex 3.9785087719298255 \n",
            "AvgIndex2 0.2666666666666667\n",
            "Economy rate :  6.947368421052633 \t Avgwicket/match :  27\n",
            "\n",
            "Z Khan \n",
            "Wickets :  24 \tMatches :  23 \tBalls :  517 \n",
            "MatchStats :  ['0/24-3', '1/14-4', '1/50-4', '2/30-5', '0/48-4', '4/21-4', '1/27-5', '1/25-3', '1/27-5', '0/19-4', '0/26-4', '1/30-5', '3/31-5', '3/20-4', '0/38-4', '2/29-4', '0/37-4', '0/37-5', '0/9-2', '0/30-4', '0/35-4', '2/25-5', '2/32-5'] \n",
            "MatchIndex :  [8.0, 1.75, 6.25, 2.0, 12.0, 1.05, 2.7, 4.166666666666667, 2.7, 4.75, 6.5, 3.0, 1.55, 1.25, 9.5, 2.4166666666666665, 9.25, 7.4, 4.5, 7.5, 8.75, 1.6666666666666667, 2.1333333333333333] \n",
            "AvgIndex 4.816666666666667 \n",
            "AvgIndex2 0.29002411091018687\n",
            "Economy rate :  6.973188405797102 \t Avgwicket/match :  25\n",
            "\n",
            "CH Morris \n",
            "Wickets :  58 \tMatches :  43 \tBalls :  960 \n",
            "MatchStats :  ['0/21-5', '1/20-5', '0/30-4', '2/27-5', '2/35-5', '2/20-3', '1/33-5', '2/35-5', '2/19-5', '2/36-4', '1/13-3', '1/31-4', '3/22-4', '1/19-3', '3/23-5', '1/30-4', '4/26-4', '2/33-5', '0/39-3', '0/13-2', '0/36-4', '1/39-4', '3/30-5', '0/30-3', '2/28-5', '2/38-5', '3/22-3', '1/25-3', '0/35-3', '2/45-5', '0/43-5', '0/39-4', '1/41-5', '1/47-5', '3/19-4', '2/17-4', '0/22-5', '4/26-5', '1/17-5', '1/36-4', '1/36-5', '0/19-3', '0/20-2'] \n",
            "MatchIndex :  [4.2, 2.0, 7.5, 1.8, 2.3333333333333335, 2.2222222222222223, 3.3, 2.3333333333333335, 1.2666666666666666, 3.0, 2.1666666666666665, 3.875, 1.375, 3.1666666666666665, 1.15, 3.75, 1.3, 2.2, 13.0, 6.5, 9.0, 4.875, 1.5, 10.0, 1.8666666666666667, 2.533333333333333, 1.8333333333333333, 4.166666666666667, 11.666666666666666, 3.0, 8.6, 9.75, 4.1, 4.7, 1.1875, 1.4166666666666667, 4.4, 1.04, 1.7, 4.5, 3.6, 6.333333333333333, 10.0] \n",
            "AvgIndex 4.190885012919896 \n",
            "AvgIndex2 0.12206412825651297\n",
            "Economy rate :  7.082558139534881 \t Avgwicket/match :  59\n",
            "\n",
            "CR Brathwaite \n",
            "Wickets :  16 \tMatches :  16 \tBalls :  266 \n",
            "MatchStats :  ['0/11-3', '1/33-4', '1/19-2', '3/47-5', '0/17-2', '0/20-2', '3/27-5', '1/18-4', '0/29-3', '1/38-5', '0/13-1', '2/22-3', '1/32-4', '2/15-2', '1/27-3', '0/16-3'] \n",
            "MatchIndex :  [3.6666666666666665, 4.125, 4.75, 2.35, 8.5, 10.0, 1.35, 2.25, 9.666666666666666, 3.8, 13.0, 2.4444444444444446, 4.0, 2.5, 4.5, 5.333333333333333] \n",
            "AvgIndex 5.139756944444444 \n",
            "AvgIndex2 0.4928015564202334\n",
            "Economy rate :  7.915624999999999 \t Avgwicket/match :  17\n",
            "\n",
            "A Mishra \n",
            "Wickets :  51 \tMatches :  52 \tBalls :  1051 \n",
            "MatchStats :  ['1/11-3', '4/11-4', '0/30-3', '2/25-4', '0/27-3', '1/37-5', '1/19-3', '1/28-5', '0/37-5', '2/19-3', '1/42-4', '0/10-2', '1/21-3', '0/33-4', '0/32-2', '3/11-3', '1/16-3', '1/26-3', '0/33-3', '2/19-5', '0/36-3', '0/9-1', '1/23-5', '0/23-2', '1/38-4', '1/27-2', '0/26-4', '0/26-2', '2/36-5', '1/36-5', '0/13-3', '0/46-4', '0/33-5', '3/24-4', '1/30-4', '1/12-2', '2/19-5', '0/29-3', '1/33-5', '2/20-4', '3/19-4', '1/18-3', '0/41-4', '0/28-3', '2/29-5', '0/16-3', '3/17-4', '1/16-4', '1/21-4', '0/23-4', '2/35-4', '1/14-3'] \n",
            "MatchIndex :  [1.8333333333333333, 0.55, 10.0, 2.0833333333333335, 9.0, 3.7, 3.1666666666666665, 2.8, 7.4, 2.111111111111111, 5.25, 5.0, 3.5, 8.25, 16.0, 0.9166666666666666, 2.6666666666666665, 4.333333333333333, 11.0, 1.2666666666666666, 12.0, 9.0, 2.3, 11.5, 4.75, 6.75, 6.5, 13.0, 2.4, 3.6, 4.333333333333333, 11.5, 6.6, 1.5, 3.75, 3.0, 1.2666666666666666, 9.666666666666666, 3.3, 1.6666666666666667, 1.1875, 3.0, 10.25, 9.333333333333334, 1.9333333333333333, 5.333333333333333, 1.0625, 2.0, 2.625, 5.75, 2.9166666666666665, 2.3333333333333335] \n",
            "AvgIndex 5.133386752136753 \n",
            "AvgIndex2 0.14288855383842192\n",
            "Economy rate :  7.290064102564103 \t Avgwicket/match :  52\n",
            "\n",
            "P Kumar \n",
            "Wickets :  16 \tMatches :  22 \tBalls :  427 \n",
            "MatchStats :  ['0/25-4', '0/12-2', '0/20-4', '0/31-3', '0/28-3', '0/14-4', '1/37-4', '2/25-3', '0/20-3', '1/28-5', '2/19-4', '2/46-4', '0/12-3', '2/24-4', '0/34-4', '0/33-4', '0/13-2', '1/16-2', '1/51-5', '1/25-4', '1/24-2', '2/25-5'] \n",
            "MatchIndex :  [6.25, 6.0, 5.0, 10.333333333333334, 9.333333333333334, 3.5, 4.625, 2.7777777777777777, 6.666666666666667, 2.8, 1.5833333333333333, 3.8333333333333335, 4.0, 2.0, 8.5, 8.25, 6.5, 4.0, 5.1, 3.125, 6.0, 1.6666666666666667] \n",
            "AvgIndex 5.083838383838384 \n",
            "AvgIndex2 0.4567044381491973\n",
            "Economy rate :  7.328030303030303 \t Avgwicket/match :  17\n",
            "\n",
            "PJ Sangwan \n",
            "Wickets :  6 \tMatches :  8 \tBalls :  147 \n",
            "MatchStats :  ['0/21-2', '0/28-3', '2/38-5', '1/45-5', '1/28-3', '2/35-3', '0/37-4', '0/20-2'] \n",
            "MatchIndex :  [10.5, 9.333333333333334, 2.533333333333333, 4.5, 4.666666666666667, 3.888888888888889, 9.25, 10.0] \n",
            "AvgIndex 6.834027777777778 \n",
            "AvgIndex2 1.564965986394558\n",
            "Economy rate :  9.585416666666667 \t Avgwicket/match :  7\n",
            "\n",
            "JP Faulkner \n",
            "Wickets :  11 \tMatches :  15 \tBalls :  267 \n",
            "MatchStats :  ['0/40-5', '0/15-2', '1/40-5', '1/23-2', '0/22-2', '0/19-2', '0/9-1', '1/39-4', '2/20-3', '2/34-4', '1/31-3', '0/38-3', '0/43-4', '3/39-4', '0/24-2'] \n",
            "MatchIndex :  [8.0, 7.5, 4.0, 5.75, 11.0, 9.5, 9.0, 4.875, 2.2222222222222223, 2.8333333333333335, 5.166666666666667, 12.666666666666666, 10.75, 2.4375, 12.0] \n",
            "AvgIndex 7.180092592592593 \n",
            "AvgIndex2 0.8729919678714861\n",
            "Economy rate :  9.661111111111113 \t Avgwicket/match :  12\n",
            "\n",
            "S Ladda \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  12 \n",
            "MatchStats :  ['0/21-2'] \n",
            "MatchIndex :  [10.5] \n",
            "AvgIndex 10.5 \n",
            "AvgIndex2 10.5\n",
            "Economy rate :  10.5 \t Avgwicket/match :  1\n",
            "\n",
            "RA Jadeja \n",
            "Wickets :  47 \tMatches :  69 \tBalls :  1273 \n",
            "MatchStats :  ['2/32-5', '2/19-4', '0/20-3', '0/18-3', '0/14-1', '0/39-5', '2/29-4', '1/21-3', '0/14-2', '0/26-3', '0/35-4', '0/17-2', '0/15-1', '2/21-4', '1/40-4', '0/34-4', '0/57-4', '0/32-4', '1/33-4', '2/29-4', '0/11-1', '0/19-2', '1/28-2', '0/19-3', '0/31-4', '0/19-3', '2/16-4', '1/24-4', '0/23-2', '1/10-2', '0/24-4', '1/17-5', '2/20-4', '0/49-5', '0/22-4', '0/9-1', '1/19-2', '0/6-1', '0/28-5', '0/26-2', '2/32-5', '1/39-5', '3/18-4', '1/28-4', '0/24-2', '1/19-4', '1/24-3', '1/13-4', '1/25-2', '2/29-4', '0/33-4', '3/9-3', '1/16-2', '0/19-4', '2/24-3', '0/12-2', '2/42-4', '0/40-5', '0/44-4', '0/16-2', '1/30-4', '0/7-2', '1/21-3', '0/35-2', '0/11-2', '0/15-1', '0/20-3', '1/20-3', '1/17-3'] \n",
            "MatchIndex :  [2.1333333333333333, 1.5833333333333333, 6.666666666666667, 6.0, 14.0, 7.8, 2.4166666666666665, 3.5, 7.0, 8.666666666666666, 8.75, 8.5, 15.0, 1.75, 5.0, 8.5, 14.25, 8.0, 4.125, 2.4166666666666665, 11.0, 9.5, 7.0, 6.333333333333333, 7.75, 6.333333333333333, 1.3333333333333333, 3.0, 11.5, 2.5, 6.0, 1.7, 1.6666666666666667, 9.8, 5.5, 9.0, 4.75, 6.0, 5.6, 13.0, 2.1333333333333333, 3.9, 1.125, 3.5, 12.0, 2.375, 4.0, 1.625, 6.25, 2.4166666666666665, 8.25, 0.75, 4.0, 4.75, 2.6666666666666665, 6.0, 3.5, 8.0, 11.0, 8.0, 3.75, 3.5, 3.5, 17.5, 5.5, 15.0, 6.666666666666667, 3.3333333333333335, 2.8333333333333335] \n",
            "AvgIndex 6.1326086956521735 \n",
            "AvgIndex2 0.1687577065351418\n",
            "Economy rate :  7.934057971014492 \t Avgwicket/match :  48\n",
            "\n",
            "DJ Bravo \n",
            "Wickets :  57 \tMatches :  49 \tBalls :  1084 \n",
            "MatchStats :  ['4/22-5', '1/43-4', '2/39-5', '0/27-3', '0/43-5', '1/40-5', '2/40-5', '2/33-4', '2/14-3', '0/39-5', '0/46-4', '1/29-5', '2/25-5', '0/30-4', '2/32-4', '1/0-1', '3/33-5', '2/33-5', '1/49-5', '0/26-4', '0/50-3', '1/37-4', '2/16-3', '1/37-3', '4/33-5', '1/22-4', '0/43-4', '0/23-2', '1/17-2', '2/31-4', '1/39-5', '0/53-5', '2/40-4', '2/25-5', '1/46-5', '2/34-4', '0/35-5', '0/35-5', '1/18-3', '0/31-5', '0/25-3', '2/19-5', '1/24-4', '0/28-5', '0/38-5', '4/37-5', '0/29-4', '2/25-3', '1/23-4'] \n",
            "MatchIndex :  [0.88, 5.375, 2.6, 9.0, 8.6, 4.0, 2.6666666666666665, 2.75, 1.5555555555555556, 7.8, 11.5, 2.9, 1.6666666666666667, 7.5, 2.6666666666666665, 0.0, 1.65, 2.2, 4.9, 6.5, 16.666666666666668, 4.625, 1.7777777777777777, 6.166666666666667, 1.32, 2.75, 10.75, 11.5, 4.25, 2.5833333333333335, 3.9, 10.6, 3.3333333333333335, 1.6666666666666667, 4.6, 2.8333333333333335, 7.0, 7.0, 3.0, 6.2, 8.333333333333334, 1.2666666666666666, 3.0, 5.6, 7.6, 1.48, 7.25, 2.7777777777777777, 2.875] \n",
            "AvgIndex 4.886043083900227 \n",
            "AvgIndex2 0.1346158434741112\n",
            "Economy rate :  7.675850340136055 \t Avgwicket/match :  58\n",
            "\n",
            "Sandeep Sharma \n",
            "Wickets :  77 \tMatches :  63 \tBalls :  1464 \n",
            "MatchStats :  ['1/21-3', '1/6-2', '2/24-5', '0/25-2', '2/30-4', '1/20-5', '1/31-5', '2/25-5', '1/38-4', '3/49-5', '2/11-4', '1/36-4', '1/29-3', '1/29-5', '2/33-4', '1/26-5', '0/28-4', '1/41-4', '1/38-4', '0/39-4', '2/40-4', '4/20-5', '3/22-4', '2/30-5', '0/31-4', '1/42-5', '0/12-3', '1/42-5', '0/38-4', '4/19-4', '1/25-4', '1/20-4', '2/21-4', '0/32-5', '0/33-5', '2/25-4', '1/9-4', '2/17-4', '1/15-4', '1/35-5', '1/20-5', '1/24-4', '1/36-5', '1/40-5', '0/30-3', '2/30-3', '1/53-5', '1/37-4', '1/55-4', '2/33-5', '0/36-4', '2/41-4', '0/27-5', '0/32-4', '2/19-4', '0/27-4', '0/31-4', '2/29-5', '2/27-5', '2/20-5', '3/34-4', '0/21-4', '1/30-4'] \n",
            "MatchIndex :  [3.5, 1.5, 1.6, 12.5, 2.5, 2.0, 3.1, 1.6666666666666667, 4.75, 2.45, 0.9166666666666666, 4.5, 4.833333333333333, 2.9, 2.75, 2.6, 7.0, 5.125, 4.75, 9.75, 3.3333333333333335, 0.8, 1.375, 2.0, 7.75, 4.2, 4.0, 4.2, 9.5, 0.95, 3.125, 2.5, 1.75, 6.4, 6.6, 2.0833333333333335, 1.125, 1.4166666666666667, 1.875, 3.5, 2.0, 3.0, 3.6, 4.0, 10.0, 3.3333333333333335, 5.3, 4.625, 6.875, 2.2, 9.0, 3.4166666666666665, 5.4, 8.0, 1.5833333333333333, 6.75, 7.75, 1.9333333333333333, 1.8, 1.3333333333333333, 2.125, 5.25, 3.75] \n",
            "AvgIndex 4.003174603174604 \n",
            "AvgIndex2 0.09099683979115142\n",
            "Economy rate :  7.008201058201058 \t Avgwicket/match :  78\n",
            "\n",
            "MG Johnson \n",
            "Wickets :  14 \tMatches :  14 \tBalls :  327 \n",
            "MatchStats :  ['2/37-5', '0/28-3', '1/43-5', '1/23-5', '1/34-5', '1/31-5', '2/28-5', '4/31-4', '1/30-4', '1/30-4', '0/42-4', '0/39-4', '0/51-4', '0/26-4'] \n",
            "MatchIndex :  [2.466666666666667, 9.333333333333334, 4.3, 2.3, 3.4, 3.1, 1.8666666666666667, 1.55, 3.75, 3.75, 10.5, 9.75, 12.75, 6.5] \n",
            "AvgIndex 5.379761904761905 \n",
            "AvgIndex2 0.5623519458544839\n",
            "Economy rate :  7.913095238095238 \t Avgwicket/match :  15\n",
            "\n",
            "MM Sharma \n",
            "Wickets :  38 \tMatches :  39 \tBalls :  810 \n",
            "MatchStats :  ['0/24-3', '0/11-3', '4/24-4', '0/29-4', '2/20-4', '3/38-5', '3/32-4', '1/39-4', '0/21-4', '0/33-4', '2/26-5', '0/41-4', '0/33-3', '1/39-5', '0/34-4', '0/47-4', '0/30-3', '1/37-5', '2/25-4', '1/29-3', '1/27-5', '1/34-3', '1/3-2', '2/24-4', '0/35-4', '2/24-3', '2/57-4', '0/6-1', '1/27-3', '2/34-4', '0/45-4', '1/47-5', '2/52-5', '0/29-4', '1/40-5', '0/15-1', '0/38-4', '1/28-4', '1/45-5'] \n",
            "MatchIndex :  [8.0, 3.6666666666666665, 1.2, 7.25, 1.6666666666666667, 1.9, 2.0, 4.875, 5.25, 8.25, 1.7333333333333334, 10.25, 11.0, 3.9, 8.5, 11.75, 10.0, 3.7, 2.0833333333333335, 4.833333333333333, 2.7, 5.666666666666667, 0.75, 2.0, 8.75, 2.6666666666666665, 4.75, 6.0, 4.5, 2.8333333333333335, 11.25, 4.7, 3.466666666666667, 7.25, 4.0, 15.0, 9.5, 3.5, 4.5] \n",
            "AvgIndex 5.527991452991453 \n",
            "AvgIndex2 0.21720611373342322\n",
            "Economy rate :  8.25940170940171 \t Avgwicket/match :  39\n",
            "\n",
            "MP Stoinis \n",
            "Wickets :  29 \tMatches :  37 \tBalls :  562 \n",
            "MatchStats :  ['1/27-2', '1/24-4', '0/26-3', '3/42-5', '0/35-3', '4/21-4', '0/28-4', '1/28-4', '0/28-4', '0/15-2', '1/28-3', '0/12-2', '0/28-3', '0/28-2', '0/7-1', '1/37-3', '0/6-1', '1/15-2', '0/13-1', '1/43-3', '1/32-5', '0/22-4', '1/13-2', '0/24-3', '2/30-3', '0/23-3', '1/47-5', '2/17-3', '1/31-3', '0/10-1', '0/14-2', '2/42-5', '0/15-2', '0/4-1', '1/5-1', '3/26-4', '1/23-2'] \n",
            "MatchIndex :  [6.75, 3.0, 8.666666666666666, 2.1, 11.666666666666666, 1.05, 7.0, 3.5, 7.0, 7.5, 4.666666666666667, 6.0, 9.333333333333334, 14.0, 7.0, 6.166666666666667, 6.0, 3.75, 13.0, 7.166666666666667, 3.2, 5.5, 3.25, 8.0, 3.3333333333333335, 7.666666666666667, 4.7, 1.8888888888888888, 5.166666666666667, 10.0, 7.0, 2.8, 7.5, 4.0, 2.5, 1.625, 5.75] \n",
            "AvgIndex 5.924249249249248 \n",
            "AvgIndex2 0.2888112973308503\n",
            "Economy rate :  8.383333333333331 \t Avgwicket/match :  30\n",
            "\n",
            "AR Patel \n",
            "Wickets :  54 \tMatches :  65 \tBalls :  1361 \n",
            "MatchStats :  ['0/17-3', '1/26-3', '0/27-3', '2/19-3', '0/11-2', '1/42-4', '4/21-5', '0/26-4', '0/33-4', '1/27-4', '1/30-4', '1/27-4', '1/46-4', '1/43-5', '1/28-5', '1/12-4', '1/36-4', '1/34-4', '2/33-5', '0/21-3', '2/37-4', '0/34-3', '2/22-5', '3/11-3', '0/29-3', '0/28-4', '1/28-3', '1/13-2', '1/42-3', '0/16-4', '1/22-5', '1/22-4', '0/30-4', '0/23-2', '1/35-3', '1/26-4', '0/9-1', '1/22-4', '0/24-3', '0/52-5', '0/24-4', '0/29-4', '2/17-4', '2/22-3', '1/39-4', '1/26-4', '1/31-3', '1/16-4', '0/30-4', '1/32-4', '1/14-4', '2/18-4', '0/14-3', '2/19-4', '1/8-2', '1/24-3', '2/32-4', '0/23-4', '1/27-4', '0/7-1', '0/37-5', '0/30-4', '0/27-3', '1/33-4', '0/16-4'] \n",
            "MatchIndex :  [5.666666666666667, 4.333333333333333, 9.0, 2.111111111111111, 5.5, 5.25, 0.84, 6.5, 8.25, 3.375, 3.75, 3.375, 5.75, 4.3, 2.8, 1.5, 4.5, 4.25, 2.2, 7.0, 3.0833333333333335, 11.333333333333334, 1.4666666666666666, 0.9166666666666666, 9.666666666666666, 7.0, 4.666666666666667, 3.25, 7.0, 4.0, 2.2, 2.75, 7.5, 11.5, 5.833333333333333, 3.25, 9.0, 2.75, 8.0, 10.4, 6.0, 7.25, 1.4166666666666667, 2.4444444444444446, 4.875, 3.25, 5.166666666666667, 2.0, 7.5, 4.0, 1.75, 1.5, 4.666666666666667, 1.5833333333333333, 2.0, 4.0, 2.6666666666666665, 5.75, 3.375, 7.0, 7.4, 7.5, 9.0, 4.125, 4.0] \n",
            "AvgIndex 4.862111111111111 \n",
            "AvgIndex2 0.13344251400360768\n",
            "Economy rate :  7.2079487179487165 \t Avgwicket/match :  55\n",
            "\n",
            "P Sahu \n",
            "Wickets :  3 \tMatches :  5 \tBalls :  107 \n",
            "MatchStats :  ['1/36-4', '0/31-3', '0/32-5', '2/18-4', '0/35-3'] \n",
            "MatchIndex :  [4.5, 10.333333333333334, 6.4, 1.5, 11.666666666666666] \n",
            "AvgIndex 6.88 \n",
            "AvgIndex2 2.6187499999999995\n",
            "Economy rate :  8.379999999999999 \t Avgwicket/match :  4\n",
            "\n",
            "A Nehra \n",
            "Wickets :  21 \tMatches :  14 \tBalls :  293 \n",
            "MatchStats :  ['0/21-3', '1/22-4', '1/32-4', '0/23-4', '3/15-3', '5/29-4', '1/23-3', '0/35-3', '2/42-5', '2/28-4', '1/46-4', '1/35-5', '3/42-4', '1/5-2'] \n",
            "MatchIndex :  [7.0, 2.75, 4.0, 5.75, 1.25, 1.2083333333333333, 3.8333333333333335, 11.666666666666666, 2.8, 2.3333333333333335, 5.75, 3.5, 2.625, 1.25] \n",
            "AvgIndex 3.9797619047619044 \n",
            "AvgIndex2 0.3550282485875706\n",
            "Economy rate :  7.480952380952381 \t Avgwicket/match :  22\n",
            "\n",
            "B Kumar \n",
            "Wickets :  81 \tMatches :  62 \tBalls :  1479 \n",
            "MatchStats :  ['2/55-5', '0/29-5', '1/17-4', '4/30-5', '1/38-4', '1/17-4', '1/36-5', '2/28-4', '1/23-4', '1/21-5', '0/32-5', '2/33-4', '0/37-5', '2/31-4', '3/20-4', '2/27-5', '1/29-5', '2/28-5', '2/23-4', '3/23-4', '3/21-4', '5/20-5', '0/31-5', '1/39-5', '2/29-4', '2/30-4', '1/33-4', '1/39-5', '2/31-5', '2/26-4', '2/11-1', '0/37-4', '0/55-5', '0/25-3', '2/27-5', '1/34-5', '0/25-4', '2/34-5', '0/22-4', '2/30-5', '3/26-5', '1/25-5', '1/22-3', '0/33-4', '1/28-4', '1/52-5', '0/38-4', '0/33-5', '1/14-4', '0/39-4', '0/17-4', '2/35-5', '2/19-4', '0/23-5', '0/34-5', '1/29-5', '2/25-5', '2/42-5', '2/25-5', '0/29-4', '2/26-5', '1/20-4'] \n",
            "MatchIndex :  [3.6666666666666665, 5.8, 2.125, 1.2, 4.75, 2.125, 3.6, 2.3333333333333335, 2.875, 2.1, 6.4, 2.75, 7.4, 2.5833333333333335, 1.25, 1.8, 2.9, 1.8666666666666667, 1.9166666666666667, 1.4375, 1.3125, 0.6666666666666666, 6.2, 3.9, 2.4166666666666665, 2.5, 4.125, 3.9, 2.066666666666667, 2.1666666666666665, 3.6666666666666665, 9.25, 11.0, 8.333333333333334, 1.8, 3.4, 6.25, 2.2666666666666666, 5.5, 2.0, 1.3, 2.5, 3.6666666666666665, 8.25, 3.5, 5.2, 9.5, 6.6, 1.75, 9.75, 4.25, 2.3333333333333335, 1.5833333333333333, 4.6, 6.8, 2.9, 1.6666666666666667, 2.8, 1.6666666666666667, 7.25, 1.7333333333333334, 2.5] \n",
            "AvgIndex 3.8016129032258066 \n",
            "AvgIndex2 0.08216537261928462\n",
            "Economy rate :  6.656720430107527 \t Avgwicket/match :  82\n",
            "\n",
            "Mustafizur Rahman \n",
            "Wickets :  28 \tMatches :  24 \tBalls :  560 \n",
            "MatchStats :  ['2/26-4', '1/29-5', '1/33-5', '1/19-4', '3/9-4', '0/22-3', '1/35-4', '2/17-4', '3/16-4', '0/26-4', '0/39-5', '1/32-4', '1/24-5', '1/32-5', '0/30-4', '2/38-4', '0/34-3', '1/40-4', '3/24-4', '1/26-4', '0/55-5', '1/35-5', '2/18-4', '1/34-4'] \n",
            "MatchIndex :  [2.1666666666666665, 2.9, 3.3, 2.375, 0.5625, 7.333333333333333, 4.375, 1.4166666666666667, 1.0, 6.5, 7.8, 4.0, 2.4, 3.2, 7.5, 3.1666666666666665, 11.333333333333334, 5.0, 1.5, 3.25, 11.0, 3.5, 1.5, 4.25] \n",
            "AvgIndex 4.222048611111111 \n",
            "AvgIndex2 0.246012877662209\n",
            "Economy rate :  6.898611111111111 \t Avgwicket/match :  29\n",
            "\n",
            "MC Henriques \n",
            "Wickets :  16 \tMatches :  29 \tBalls :  466 \n",
            "MatchStats :  ['0/41-4', '0/19-3', '0/23-5', '0/18-4', '2/33-5', '1/16-2', '2/40-4', '1/24-4', '1/20-4', '1/20-3', '2/19-3', '1/29-3', '0/18-2', '0/14-2', '3/17-3', '0/27-3', '0/40-3', '1/20-3', '0/12-1', '0/26-3', '1/6-2', '0/32-4', '0/4-1', '0/39-3', '0/31-3', '0/36-3', '0/15-3', '0/15-1', '0/12-1'] \n",
            "MatchIndex :  [10.25, 6.333333333333333, 4.6, 4.5, 2.2, 4.0, 3.3333333333333335, 3.0, 2.5, 3.3333333333333335, 2.111111111111111, 4.833333333333333, 9.0, 7.0, 1.4166666666666667, 9.0, 13.333333333333334, 3.3333333333333335, 12.0, 8.666666666666666, 1.5, 8.0, 4.0, 13.0, 10.333333333333334, 12.0, 5.0, 15.0, 12.0] \n",
            "AvgIndex 6.744061302681993 \n",
            "AvgIndex2 0.5110035842293907\n",
            "Economy rate :  8.193678160919541 \t Avgwicket/match :  17\n",
            "\n",
            "KV Sharma \n",
            "Wickets :  24 \tMatches :  25 \tBalls :  482 \n",
            "MatchStats :  ['0/58-5', '0/24-3', '0/28-4', '1/25-3', '0/39-4', '2/39-4', '1/23-4', '3/12-4', '0/20-2', '1/32-3', '1/26-3', '1/30-4', '4/17-5', '0/18-5', '1/33-3', '2/13-2', '1/30-3', '0/11-1', '0/11-1', '1/25-4', '2/25-4', '0/34-5', '2/37-5', '0/34-3', '1/35-4'] \n",
            "MatchIndex :  [11.6, 8.0, 7.0, 4.166666666666667, 9.75, 3.25, 2.875, 0.75, 10.0, 5.333333333333333, 4.333333333333333, 3.75, 0.68, 3.6, 5.5, 2.1666666666666665, 5.0, 11.0, 11.0, 3.125, 2.0833333333333335, 6.8, 2.466666666666667, 11.333333333333334, 4.375] \n",
            "AvgIndex 5.597533333333334 \n",
            "AvgIndex2 0.33826955074875215\n",
            "Economy rate :  8.132000000000001 \t Avgwicket/match :  25\n",
            "\n",
            "A Ashish Reddy \n",
            "Wickets :  1 \tMatches :  2 \tBalls :  23 \n",
            "MatchStats :  ['0/26-2', '1/14-2'] \n",
            "MatchIndex :  [13.0, 3.5] \n",
            "AvgIndex 8.25 \n",
            "AvgIndex2 6.666666666666667\n",
            "Economy rate :  10.0 \t Avgwicket/match :  2\n",
            "\n",
            "AF Milne \n",
            "Wickets :  5 \tMatches :  5 \tBalls :  115 \n",
            "MatchStats :  ['1/44-5', '3/32-4', '1/45-5', '0/35-5', '0/29-3'] \n",
            "MatchIndex :  [4.4, 2.0, 4.5, 7.0, 9.666666666666666] \n",
            "AvgIndex 5.513333333333333 \n",
            "AvgIndex2 1.633333333333333\n",
            "Economy rate :  8.493333333333332 \t Avgwicket/match :  6\n",
            "\n",
            "SR Watson \n",
            "Wickets :  35 \tMatches :  35 \tBalls :  701 \n",
            "MatchStats :  ['2/30-5', '2/28-5', '0/40-5', '2/31-5', '1/31-4', '2/33-5', '1/38-3', '3/25-5', '2/22-4', '0/38-4', '0/4-2', '0/46-5', '2/7-3', '1/27-4', '4/29-5', '1/61-5', '0/41-3', '1/21-4', '0/29-2', '1/44-5', '0/24-2', '1/28-4', '1/43-5', '1/16-4', '2/29-5', '3/39-5', '1/15-2', '1/13-4', '0/23-2', '0/21-3', '0/41-5', '0/27-2', '0/19-3', '0/9-1', '0/16-3'] \n",
            "MatchIndex :  [2.0, 1.8666666666666667, 8.0, 2.066666666666667, 3.875, 2.2, 6.333333333333333, 1.25, 1.8333333333333333, 9.5, 2.0, 9.2, 0.7777777777777778, 3.375, 1.16, 6.1, 13.666666666666666, 2.625, 14.5, 4.4, 12.0, 3.5, 4.3, 2.0, 1.9333333333333333, 1.95, 3.75, 1.625, 11.5, 7.0, 8.2, 13.5, 6.333333333333333, 9.0, 5.333333333333333] \n",
            "AvgIndex 5.390126984126985 \n",
            "AvgIndex2 0.22033713974986402\n",
            "Economy rate :  7.718095238095238 \t Avgwicket/match :  36\n",
            "\n",
            "Parvez Rasool \n",
            "Wickets :  1 \tMatches :  4 \tBalls :  84 \n",
            "MatchStats :  ['1/31-4', '0/28-3', '0/34-4', '0/37-3'] \n",
            "MatchIndex :  [3.875, 9.333333333333334, 8.5, 12.333333333333334] \n",
            "AvgIndex 8.510416666666668 \n",
            "AvgIndex2 7.583333333333334\n",
            "Economy rate :  9.479166666666668 \t Avgwicket/match :  2\n",
            "\n",
            "HV Patel \n",
            "Wickets :  18 \tMatches :  18 \tBalls :  374 \n",
            "MatchStats :  ['0/33-5', '0/32-3', '0/20-2', '2/46-5', '0/16-2', '3/43-5', '2/40-5', '1/37-5', '1/34-3', '1/32-4', '1/51-5', '1/24-4', '3/28-3', '2/34-5', '0/44-5', '1/29-5', '0/20-2', '0/8-2'] \n",
            "MatchIndex :  [6.6, 10.666666666666666, 10.0, 3.066666666666667, 8.0, 2.15, 2.6666666666666665, 3.7, 5.666666666666667, 4.0, 5.1, 3.0, 2.3333333333333335, 2.2666666666666666, 8.8, 2.9, 10.0, 4.0] \n",
            "AvgIndex 5.273148148148148 \n",
            "AvgIndex2 0.45764102564102566\n",
            "Economy rate :  8.262962962962964 \t Avgwicket/match :  19\n",
            "\n",
            "YS Chahal \n",
            "Wickets :  88 \tMatches :  69 \tBalls :  1548 \n",
            "MatchStats :  ['2/44-5', '0/23-3', '1/33-5', '2/31-5', '1/38-5', '2/32-4', '1/16-4', '3/19-4', '1/38-5', '4/25-3', '3/32-5', '1/42-4', '1/36-4', '1/22-4', '1/20-4', '1/29-4', '1/34-3', '0/11-2', '3/31-5', '3/16-5', '0/30-4', '0/25-2', '1/36-5', '2/29-5', '1/40-5', '0/28-4', '1/6-4', '4/42-5', '1/44-5', '2/17-5', '1/25-4', '0/36-5', '2/35-5', '2/27-4', '0/29-4', '1/39-4', '2/27-5', '0/32-3', '2/23-4', '2/27-5', '0/29-4', '0/25-5', '0/29-4', '1/25-5', '2/28-4', '1/7-2', '1/28-5', '0/26-4', '0/45-4', '1/24-4', '0/27-2', '2/41-4', '1/1-1', '1/24-5', '3/22-4', '1/25-4', '1/48-4', '3/25-4', '0/29-3', '1/35-5', '1/14-4', '2/35-4', '2/35-5', '2/15-4', '1/22-4', '2/37-4', '2/19-4', '0/29-4', '1/24-4'] \n",
            "MatchIndex :  [2.933333333333333, 7.666666666666667, 3.3, 2.066666666666667, 3.8, 2.6666666666666665, 2.0, 1.1875, 3.8, 1.6666666666666667, 1.6, 5.25, 4.5, 2.75, 2.5, 3.625, 5.666666666666667, 5.5, 1.55, 0.8, 7.5, 12.5, 3.6, 1.9333333333333333, 4.0, 7.0, 0.75, 1.68, 4.4, 1.1333333333333333, 3.125, 7.2, 2.3333333333333335, 2.25, 7.25, 4.875, 1.8, 10.666666666666666, 1.9166666666666667, 1.8, 7.25, 5.0, 7.25, 2.5, 2.3333333333333335, 1.75, 2.8, 6.5, 11.25, 3.0, 13.5, 3.4166666666666665, 0.5, 2.4, 1.375, 3.125, 6.0, 1.5625, 9.666666666666666, 3.5, 1.75, 2.9166666666666665, 2.3333333333333335, 1.25, 2.75, 3.0833333333333335, 1.5833333333333333, 7.25, 3.0] \n",
            "AvgIndex 3.958526570048309 \n",
            "AvgIndex2 0.07858828695318075\n",
            "Economy rate :  6.916908212560387 \t Avgwicket/match :  89\n",
            "\n",
            "TG Southee \n",
            "Wickets :  21 \tMatches :  25 \tBalls :  575 \n",
            "MatchStats :  ['0/44-5', '0/31-4', '3/25-5', '0/25-4', '0/22-4', '2/28-4', '2/38-4', '0/35-5', '0/36-4', '1/27-5', '1/22-5', '1/34-5', '0/23-3', '2/40-5', '0/62-5', '1/28-3', '0/34-5', '2/25-5', '0/30-3', '5/31-5', '0/41-5', '0/20-2', '0/45-5', '1/37-5', '0/33-4'] \n",
            "MatchIndex :  [8.8, 7.75, 1.25, 6.25, 5.5, 2.3333333333333335, 3.1666666666666665, 7.0, 9.0, 2.7, 2.2, 3.4, 7.666666666666667, 2.6666666666666665, 12.4, 4.666666666666667, 6.8, 1.6666666666666667, 10.0, 1.0333333333333334, 8.2, 10.0, 9.0, 3.7, 8.25] \n",
            "AvgIndex 5.816 \n",
            "AvgIndex2 0.3624524714828898\n",
            "Economy rate :  7.626 \t Avgwicket/match :  22\n",
            "\n",
            "J Suchith \n",
            "Wickets :  2 \tMatches :  2 \tBalls :  38 \n",
            "MatchStats :  ['0/31-3', '2/28-4'] \n",
            "MatchIndex :  [10.333333333333334, 2.3333333333333335] \n",
            "AvgIndex 6.333333333333334 \n",
            "AvgIndex2 3.4666666666666672\n",
            "Economy rate :  8.666666666666668 \t Avgwicket/match :  3\n",
            "\n",
            "Kuldeep Yadav \n",
            "Wickets :  43 \tMatches :  43 \tBalls :  913 \n",
            "MatchStats :  ['1/37-5', '3/29-5', '3/36-4', '2/25-4', '1/35-5', '1/23-4', '0/29-3', '2/33-4', '2/31-4', '0/27-4', '0/43-5', '1/35-4', '2/35-4', '1/29-3', '0/18-2', '0/32-5', '3/41-4', '1/31-4', '0/33-4', '0/16-4', '0/28-5', '0/28-3', '0/33-4', '1/29-4', '1/23-4', '3/32-4', '1/24-4', '0/13-1', '0/22-2', '1/22-4', '1/34-5', '0/17-2', '0/43-3', '1/29-3', '4/20-4', '1/35-4', '1/18-4', '3/29-4', '1/59-5', '0/40-5', '0/15-2', '1/21-3', '0/19-4'] \n",
            "MatchIndex :  [3.7, 1.45, 2.25, 2.0833333333333335, 3.5, 2.875, 9.666666666666666, 2.75, 2.5833333333333335, 6.75, 8.6, 4.375, 2.9166666666666665, 4.833333333333333, 9.0, 6.4, 2.5625, 3.875, 8.25, 4.0, 5.6, 9.333333333333334, 8.25, 3.625, 2.875, 2.0, 3.0, 13.0, 11.0, 2.75, 3.4, 8.5, 14.333333333333334, 4.833333333333333, 1.0, 4.375, 2.25, 1.8125, 5.9, 8.0, 7.5, 3.5, 4.75] \n",
            "AvgIndex 5.209496124031009 \n",
            "AvgIndex2 0.18300900900900902\n",
            "Economy rate :  7.873643410852714 \t Avgwicket/match :  44\n",
            "\n",
            "SB Jakati \n",
            "Wickets :  2 \tMatches :  8 \tBalls :  155 \n",
            "MatchStats :  ['0/41-4', '1/13-4', '0/28-3', '1/24-4', '0/30-3', '0/45-4', '0/30-4', '0/22-2'] \n",
            "MatchIndex :  [10.25, 1.625, 9.333333333333334, 3.0, 10.0, 11.25, 7.5, 11.0] \n",
            "AvgIndex 7.994791666666667 \n",
            "AvgIndex2 4.034313725490197\n",
            "Economy rate :  8.572916666666668 \t Avgwicket/match :  3\n",
            "\n",
            "PV Tambe \n",
            "Wickets :  5 \tMatches :  7 \tBalls :  97 \n",
            "MatchStats :  ['2/33-4', '2/12-2', '0/17-3', '1/24-3', '0/17-1', '0/15-2', '0/25-2'] \n",
            "MatchIndex :  [2.75, 2.0, 5.666666666666667, 4.0, 17.0, 7.5, 12.5] \n",
            "AvgIndex 7.345238095238096 \n",
            "AvgIndex2 1.8032407407407407\n",
            "Economy rate :  9.273809523809524 \t Avgwicket/match :  6\n",
            "\n",
            "P Negi \n",
            "Wickets :  23 \tMatches :  23 \tBalls :  348 \n",
            "MatchStats :  ['1/10-1', '0/26-3', '0/19-1', '0/10-1', '1/19-3', '2/3-1', '0/8-1', '0/29-3', '1/13-4', '1/21-5', '2/15-4', '1/24-3', '1/18-5', '3/18-4', '1/22-3', '2/21-4', '3/10-2', '2/21-4', '1/28-4', '0/47-5', '0/13-1', '1/36-3', '0/7-1'] \n",
            "MatchIndex :  [5.0, 8.666666666666666, 19.0, 10.0, 3.1666666666666665, 1.0, 8.0, 9.666666666666666, 1.625, 2.1, 1.25, 4.0, 1.8, 1.125, 3.6666666666666665, 1.75, 1.25, 1.75, 3.5, 9.4, 13.0, 6.0, 7.0] \n",
            "AvgIndex 5.378985507246377 \n",
            "AvgIndex2 0.3267924528301887\n",
            "Economy rate :  7.530434782608697 \t Avgwicket/match :  24\n",
            "\n",
            "J Yadav \n",
            "Wickets :  4 \tMatches :  11 \tBalls :  226 \n",
            "MatchStats :  ['1/23-5', '0/25-4', '1/32-5', '0/37-4', '0/8-1', '0/16-3', '0/27-4', '0/25-4', '1/25-4', '0/18-3', '1/25-4'] \n",
            "MatchIndex :  [2.3, 6.25, 3.2, 9.25, 8.0, 5.333333333333333, 6.75, 6.25, 3.125, 6.0, 3.125] \n",
            "AvgIndex 5.416666666666667 \n",
            "AvgIndex2 1.5851851851851853\n",
            "Economy rate :  6.484848484848485 \t Avgwicket/match :  5\n",
            "\n",
            "GJ Maxwell \n",
            "Wickets :  15 \tMatches :  32 \tBalls :  394 \n",
            "MatchStats :  ['0/11-2', '0/3-1', '0/18-2', '0/16-2', '0/11-1', '0/11-1', '0/11-1', '0/18-1', '0/7-1', '2/29-4', '1/12-4', '2/15-4', '1/21-2', '1/9-2', '0/15-2', '0/21-4', '1/13-3', '0/4-1', '2/22-2', '1/5-1', '1/21-1', '0/4-1', '0/9-1', '0/14-2', '0/19-2', '1/10-2', '0/31-3', '0/26-2', '0/28-4', '0/24-4', '1/31-4', '1/21-2'] \n",
            "MatchIndex :  [5.5, 3.0, 9.0, 8.0, 11.0, 11.0, 11.0, 18.0, 7.0, 2.4166666666666665, 1.5, 1.25, 5.25, 2.25, 7.5, 5.25, 2.1666666666666665, 4.0, 3.6666666666666665, 2.5, 10.5, 4.0, 9.0, 7.0, 9.5, 2.5, 10.333333333333334, 13.0, 7.0, 6.0, 3.875, 5.25] \n",
            "AvgIndex 6.537760416666667 \n",
            "AvgIndex2 0.5398475398475399\n",
            "Economy rate :  8.114583333333334 \t Avgwicket/match :  16\n",
            "\n",
            "M Morkel \n",
            "Wickets :  10 \tMatches :  10 \tBalls :  220 \n",
            "MatchStats :  ['2/35-5', '2/27-4', '0/30-3', '2/28-4', '1/28-5', '0/38-4', '0/22-4', '0/20-2', '1/39-4', '2/32-4'] \n",
            "MatchIndex :  [2.3333333333333335, 2.25, 10.0, 2.3333333333333335, 2.8, 9.5, 5.5, 10.0, 4.875, 2.6666666666666665] \n",
            "AvgIndex 5.225833333333333 \n",
            "AvgIndex2 0.7831683168316831\n",
            "Economy rate :  7.909999999999999 \t Avgwicket/match :  11\n",
            "\n",
            "Shakib Al Hasan \n",
            "Wickets :  23 \tMatches :  30 \tBalls :  619 \n",
            "MatchStats :  ['0/19-3', '0/29-5', '1/14-3', '1/30-4', '0/21-3', '1/38-3', '1/21-3', '0/39-5', '1/36-5', '0/34-3', '1/42-4', '2/24-4', '1/34-5', '2/22-5', '0/28-2', '0/32-5', '1/16-3', '2/18-3', '0/30-4', '0/34-4', '2/36-4', '2/27-4', '1/41-4', '0/35-4', '1/30-3', '0/20-2', '2/16-3', '0/15-1', '0/27-4', '1/26-4'] \n",
            "MatchIndex :  [6.333333333333333, 5.8, 2.3333333333333335, 3.75, 7.0, 6.333333333333333, 3.5, 7.8, 3.6, 11.333333333333334, 5.25, 2.0, 3.4, 1.4666666666666666, 14.0, 6.4, 2.6666666666666665, 2.0, 7.5, 8.5, 3.0, 2.25, 5.125, 8.75, 5.0, 10.0, 1.7777777777777777, 15.0, 6.75, 3.25] \n",
            "AvgIndex 5.728981481481482 \n",
            "AvgIndex2 0.34886637723106606\n",
            "Economy rate :  8.035555555555556 \t Avgwicket/match :  24\n",
            "\n",
            "SP Narine \n",
            "Wickets :  59 \tMatches :  64 \tBalls :  1498 \n",
            "MatchStats :  ['0/26-4', '2/23-5', '1/33-4', '2/22-4', '1/22-4', '0/45-4', '1/12-4', '1/34-4', '2/30-5', '3/28-4', '0/35-5', '0/33-4', '1/22-4', '1/19-5', '1/18-4', '2/20-5', '0/42-4', '1/34-5', '2/25-5', '0/37-4', '1/28-4', '2/29-4', '1/27-4', '0/37-5', '0/20-4', '0/21-4', '0/29-3', '0/26-2', '1/30-5', '0/26-5', '2/24-4', '2/19-5', '1/31-4', '1/18-4', '2/17-5', '3/18-3', '0/48-4', '1/23-3', '0/36-3', '0/39-4', '2/20-4', '2/35-4', '1/28-4', '1/44-4', '1/29-5', '1/24-5', '0/39-5', '1/24-4', '1/32-5', '0/36-4', '2/25-4', '2/44-4', '1/29-4', '0/33-5', '2/22-4', '0/32-4', '1/42-5', '0/26-2', '1/32-4', '2/30-4', '0/37-5', '0/27-4', '0/23-4', '0/37-4'] \n",
            "MatchIndex :  [6.5, 1.5333333333333334, 4.125, 1.8333333333333333, 2.75, 11.25, 1.5, 4.25, 2.0, 1.75, 7.0, 8.25, 2.75, 1.9, 2.25, 1.3333333333333333, 10.5, 3.4, 1.6666666666666667, 9.25, 3.5, 2.4166666666666665, 3.375, 7.4, 5.0, 5.25, 9.666666666666666, 13.0, 3.0, 5.2, 2.0, 1.2666666666666666, 3.875, 2.25, 1.1333333333333333, 1.5, 12.0, 3.8333333333333335, 12.0, 9.75, 1.6666666666666667, 2.9166666666666665, 3.5, 5.5, 2.9, 2.4, 7.8, 3.0, 3.2, 9.0, 2.0833333333333335, 3.6666666666666665, 3.625, 6.6, 1.8333333333333333, 8.0, 4.2, 13.0, 4.0, 2.5, 7.4, 6.75, 5.75, 9.25] \n",
            "AvgIndex 4.90234375 \n",
            "AvgIndex2 0.12133527490954019\n",
            "Economy rate :  7.160677083333333 \t Avgwicket/match :  60\n",
            "\n",
            "BB Sran \n",
            "Wickets :  20 \tMatches :  23 \tBalls :  496 \n",
            "MatchStats :  ['0/31-5', '3/29-5', '1/36-4', '0/33-4', '1/36-5', '1/21-4', '2/18-4', '1/27-4', '0/21-2', '2/34-5', '1/32-5', '1/33-3', '0/28-4', '1/41-4', '0/29-3', '1/38-5', '1/22-5', '2/50-5', '1/45-5', '0/28-4', '1/48-3', '0/27-2', '0/24-3'] \n",
            "MatchIndex :  [6.2, 1.45, 4.5, 8.25, 3.6, 2.625, 1.5, 3.375, 10.5, 2.2666666666666666, 3.2, 5.5, 7.0, 5.125, 9.666666666666666, 3.8, 2.2, 3.3333333333333335, 4.5, 7.0, 8.0, 13.5, 8.0] \n",
            "AvgIndex 5.438768115942029 \n",
            "AvgIndex2 0.41229211858279097\n",
            "Economy rate :  8.263768115942028 \t Avgwicket/match :  21\n",
            "\n",
            "DS Kulkarni \n",
            "Wickets :  33 \tMatches :  39 \tBalls :  780 \n",
            "MatchStats :  ['2/19-4', '0/9-1', '1/39-4', '3/19-4', '0/25-4', '1/28-4', '0/24-2', '2/17-4', '1/30-5', '1/33-3', '2/34-5', '2/41-4', '4/15-4', '1/32-4', '0/42-4', '0/17-2', '1/37-5', '0/23-2', '1/24-5', '1/30-4', '1/30-5', '0/40-4', '1/37-5', '0/26-4', '0/31-4', '1/14-3', '1/38-4', '1/38-4', '0/18-3', '0/5-2', '0/14-1', '0/20-2', '2/32-5', '0/20-2', '1/37-4', '1/43-4', '0/31-4', '1/51-4', '0/22-4'] \n",
            "MatchIndex :  [1.5833333333333333, 9.0, 4.875, 1.1875, 6.25, 3.5, 12.0, 1.4166666666666667, 3.0, 5.5, 2.2666666666666666, 3.4166666666666665, 0.75, 4.0, 10.5, 8.5, 3.7, 11.5, 2.4, 3.75, 3.0, 10.0, 3.7, 6.5, 7.75, 2.3333333333333335, 4.75, 4.75, 6.0, 2.5, 14.0, 10.0, 2.1333333333333333, 10.0, 4.625, 5.375, 7.75, 6.375, 5.5] \n",
            "AvgIndex 5.54198717948718 \n",
            "AvgIndex2 0.24065734989648033\n",
            "Economy rate :  7.947863247863249 \t Avgwicket/match :  34\n",
            "\n",
            "KH Pandya \n",
            "Wickets :  49 \tMatches :  69 \tBalls :  1283 \n",
            "MatchStats :  ['1/21-4', '2/27-5', '0/25-5', '0/21-2', '0/21-2', '0/28-3', '0/5-1', '1/15-4', '0/32-4', '3/15-3', '0/28-2', '0/21-2', '3/24-4', '0/12-2', '1/25-4', '0/18-3', '1/31-5', '0/8-1', '3/15-5', '2/34-5', '0/14-2', '0/22-4', '0/25-3', '0/31-4', '0/21-2', '0/28-4', '2/44-5', '0/13-3', '0/9-2', '0/17-2', '3/34-5', '0/10-1', '0/10-2', '2/21-3', '3/28-5', '1/33-5', '0/14-3', '2/32-5', '0/25-4', '1/10-1', '1/29-3', '3/12-4', '0/24-4', '0/37-4', '1/13-2', '1/7-2', '0/24-2', '2/7-3', '0/27-3', '2/22-5', '0/14-5', '1/21-4', '1/39-3', '1/37-5', '0/10-1', '0/23-4', '1/27-5', '1/37-5', '0/22-2', '2/26-4', '0/24-4', '0/12-2', '0/16-4', '0/21-2', '0/27-4', '0/16-4', '0/37-4', '1/22-5', '0/30-4'] \n",
            "MatchIndex :  [2.625, 1.8, 5.0, 10.5, 10.5, 9.333333333333334, 5.0, 1.875, 8.0, 1.25, 14.0, 10.5, 1.5, 6.0, 3.125, 6.0, 3.1, 8.0, 0.75, 2.2666666666666666, 7.0, 5.5, 8.333333333333334, 7.75, 10.5, 7.0, 2.933333333333333, 4.333333333333333, 4.5, 8.5, 1.7, 10.0, 5.0, 2.3333333333333335, 1.4, 3.3, 4.666666666666667, 2.1333333333333333, 6.25, 5.0, 4.833333333333333, 0.75, 6.0, 9.25, 3.25, 1.75, 12.0, 0.7777777777777778, 9.0, 1.4666666666666666, 2.8, 2.625, 6.5, 3.7, 10.0, 5.75, 2.7, 3.7, 11.0, 2.1666666666666665, 6.0, 6.0, 4.0, 10.5, 6.75, 4.0, 9.25, 2.2, 7.5] \n",
            "AvgIndex 5.4417069243156195 \n",
            "AvgIndex2 0.14179972402917404\n",
            "Economy rate :  6.950241545893719 \t Avgwicket/match :  50\n",
            "\n",
            "KJ Abbott \n",
            "Wickets :  2 \tMatches :  5 \tBalls :  102 \n",
            "MatchStats :  ['1/42-5', '0/32-4', '0/34-3', '1/48-4', '0/26-3'] \n",
            "MatchIndex :  [4.2, 8.0, 11.333333333333334, 6.0, 8.666666666666666] \n",
            "AvgIndex 7.639999999999999 \n",
            "AvgIndex2 4.3999999999999995\n",
            "Economy rate :  9.68 \t Avgwicket/match :  3\n",
            "\n",
            "Ankit Sharma \n",
            "Wickets :  1 \tMatches :  5 \tBalls :  82 \n",
            "MatchStats :  ['1/27-5', '0/31-5', '0/26-4', '0/16-1', '0/11-1'] \n",
            "MatchIndex :  [2.7, 6.2, 6.5, 16.0, 11.0] \n",
            "AvgIndex 8.48 \n",
            "AvgIndex2 7.516666666666667\n",
            "Economy rate :  9.02 \t Avgwicket/match :  2\n",
            "\n",
            "IK Pathan \n",
            "Wickets :  2 \tMatches :  4 \tBalls :  60 \n",
            "MatchStats :  ['0/7-1', '0/17-3', '0/37-4', '2/26-2'] \n",
            "MatchIndex :  [7.0, 5.666666666666667, 9.25, 4.333333333333333] \n",
            "AvgIndex 6.5625 \n",
            "AvgIndex2 3.87962962962963\n",
            "Economy rate :  8.729166666666668 \t Avgwicket/match :  3\n",
            "\n",
            "NLTC Perera \n",
            "Wickets :  10 \tMatches :  11 \tBalls :  202 \n",
            "MatchStats :  ['0/30-3', '3/34-5', '2/28-4', '1/32-4', '3/41-5', '0/35-4', '0/9-1', '0/40-3', '0/26-2', '0/27-3', '1/24-2'] \n",
            "MatchIndex :  [10.0, 1.7, 2.3333333333333335, 4.0, 2.05, 8.75, 9.0, 13.333333333333334, 13.0, 9.0, 6.0] \n",
            "AvgIndex 7.196969696969696 \n",
            "AvgIndex2 0.9466966966966966\n",
            "Economy rate :  9.553030303030303 \t Avgwicket/match :  11\n",
            "\n",
            "Mohammed Shami \n",
            "Wickets :  63 \tMatches :  48 \tBalls :  1070 \n",
            "MatchStats :  ['3/36-5', '1/24-3', '0/34-5', '2/33-4', '0/50-4', '1/34-4', '1/28-3', '0/13-1', '0/28-4', '0/19-3', '2/40-5', '1/40-3', '0/16-2', '2/37-5', '2/37-5', '1/31-5', '1/33-4', '1/44-5', '2/43-5', '3/27-4', '0/41-5', '1/30-4', '3/21-5', '1/43-4', '2/46-4', '0/26-2', '1/29-4', '1/36-4', '1/53-5', '2/22-4', '1/57-5', '2/36-5', '1/16-3', '2/18-3', '4/16-5', '1/15-3', '3/53-5', '1/36-5', '0/35-4', '1/40-4', '2/32-4', '2/49-4', '2/30-4', '2/28-5', '1/34-5', '3/36-4', '0/37-3', '0/33-5'] \n",
            "MatchIndex :  [1.8, 4.0, 6.8, 2.75, 12.5, 4.25, 4.666666666666667, 13.0, 7.0, 6.333333333333333, 2.6666666666666665, 6.666666666666667, 8.0, 2.466666666666667, 2.466666666666667, 3.1, 4.125, 4.4, 2.8666666666666667, 1.6875, 8.2, 3.75, 1.05, 5.375, 3.8333333333333335, 13.0, 3.625, 4.5, 5.3, 1.8333333333333333, 5.7, 2.4, 2.6666666666666665, 2.0, 0.64, 2.5, 2.65, 3.6, 8.75, 5.0, 2.6666666666666665, 4.083333333333333, 2.5, 1.8666666666666667, 3.4, 2.25, 12.333333333333334, 6.6] \n",
            "AvgIndex 4.658732638888889 \n",
            "AvgIndex2 0.1322038567493113\n",
            "Economy rate :  8.331597222222221 \t Avgwicket/match :  64\n",
            "\n",
            "S Aravind \n",
            "Wickets :  16 \tMatches :  19 \tBalls :  372 \n",
            "MatchStats :  ['1/32-4', '1/16-3', '1/23-4', '1/16-3', '2/45-4', '2/18-3', '1/28-4', '0/14-3', '2/30-4', '0/36-3', '0/21-5', '2/29-5', '1/53-5', '1/27-4', '0/20-4', '0/31-4', '0/22-2', '1/13-2', '0/26-2'] \n",
            "MatchIndex :  [4.0, 2.6666666666666665, 2.875, 2.6666666666666665, 3.75, 2.0, 3.5, 4.666666666666667, 2.5, 12.0, 4.2, 1.9333333333333333, 5.3, 3.375, 5.0, 7.75, 11.0, 3.25, 13.0] \n",
            "AvgIndex 5.02280701754386 \n",
            "AvgIndex2 0.4702732240437158\n",
            "Economy rate :  7.549122807017544 \t Avgwicket/match :  17\n",
            "\n",
            "D Wiese \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  27 \n",
            "MatchStats :  ['0/49-5'] \n",
            "MatchIndex :  [9.8] \n",
            "AvgIndex 9.8 \n",
            "AvgIndex2 9.8\n",
            "Economy rate :  9.8 \t Avgwicket/match :  1\n",
            "\n",
            "Bipul Sharma \n",
            "Wickets :  8 \tMatches :  13 \tBalls :  184 \n",
            "MatchStats :  ['1/40-4', '1/10-2', '0/17-1', '0/18-2', '2/21-3', '1/17-2', '1/4-1', '0/24-4', '0/20-3', '1/31-4', '0/10-2', '1/40-4', '0/2-1'] \n",
            "MatchIndex :  [5.0, 2.5, 17.0, 9.0, 2.3333333333333335, 4.25, 2.0, 6.0, 6.666666666666667, 3.875, 5.0, 5.0, 2.0] \n",
            "AvgIndex 5.4326923076923075 \n",
            "AvgIndex2 0.9325396825396827\n",
            "Economy rate :  7.532051282051283 \t Avgwicket/match :  9\n",
            "\n",
            "YK Pathan \n",
            "Wickets :  3 \tMatches :  10 \tBalls :  80 \n",
            "MatchStats :  ['1/6-2', '0/6-1', '0/4-1', '0/17-3', '0/15-1', '1/2-1', '0/17-1', '0/7-1', '0/8-1', '1/14-2'] \n",
            "MatchIndex :  [1.5, 6.0, 4.0, 5.666666666666667, 15.0, 1.0, 17.0, 7.0, 8.0, 3.5] \n",
            "AvgIndex 6.866666666666667 \n",
            "AvgIndex2 2.4086021505376345\n",
            "Economy rate :  7.466666666666667 \t Avgwicket/match :  4\n",
            "\n",
            "VR Aaron \n",
            "Wickets :  13 \tMatches :  22 \tBalls :  412 \n",
            "MatchStats :  ['0/37-5', '0/27-4', '0/35-5', '0/31-3', '0/25-3', '2/37-5', '0/20-3', '0/17-2', '2/22-4', '1/23-3', '2/46-5', '2/3-2', '0/32-5', '0/44-4', '0/16-1', '2/24-4', '2/40-5', '0/23-1', '0/25-3', '0/25-3', '0/47-5', '0/24-2'] \n",
            "MatchIndex :  [7.4, 6.75, 7.0, 10.333333333333334, 8.333333333333334, 2.466666666666667, 6.666666666666667, 8.5, 1.8333333333333333, 3.8333333333333335, 3.066666666666667, 0.5, 6.4, 11.0, 16.0, 2.0, 2.6666666666666665, 23.0, 8.333333333333334, 8.333333333333334, 9.4, 12.0] \n",
            "AvgIndex 7.537121212121213 \n",
            "AvgIndex2 0.6784552845528456\n",
            "Economy rate :  8.850757575757576 \t Avgwicket/match :  14\n",
            "\n",
            "KW Richardson \n",
            "Wickets :  8 \tMatches :  4 \tBalls :  86 \n",
            "MatchStats :  ['1/26-3', '4/13-3', '1/54-5', '2/45-4'] \n",
            "MatchIndex :  [4.333333333333333, 0.8666666666666667, 5.4, 3.75] \n",
            "AvgIndex 3.5875 \n",
            "AvgIndex2 1.062121212121212\n",
            "Economy rate :  8.7625 \t Avgwicket/match :  9\n",
            "\n",
            "Iqbal Abdulla \n",
            "Wickets :  9 \tMatches :  10 \tBalls :  189 \n",
            "MatchStats :  ['3/40-5', '0/22-4', '0/41-5', '0/27-3', '2/24-5', '0/14-2', '2/38-5', '0/10-1', '2/36-4', '0/19-3'] \n",
            "MatchIndex :  [2.0, 5.5, 8.2, 9.0, 1.6, 7.0, 2.533333333333333, 10.0, 3.0, 6.333333333333333] \n",
            "AvgIndex 5.516666666666667 \n",
            "AvgIndex2 0.8289377289377289\n",
            "Economy rate :  7.543333333333332 \t Avgwicket/match :  10\n",
            "\n",
            "STR Binny \n",
            "Wickets :  6 \tMatches :  21 \tBalls :  198 \n",
            "MatchStats :  ['0/8-1', '0/23-2', '1/17-2', '0/17-2', '0/16-3', '0/2-1', '0/13-2', '0/8-1', '0/11-1', '0/15-3', '0/4-1', '1/10-1', '1/14-3', '1/9-1', '1/17-2', '0/6-1', '0/33-3', '1/19-3', '0/3-1', '0/10-2', '0/6-1'] \n",
            "MatchIndex :  [8.0, 11.5, 4.25, 8.5, 5.333333333333333, 2.0, 6.5, 8.0, 11.0, 5.0, 4.0, 5.0, 2.3333333333333335, 4.5, 4.25, 6.0, 11.0, 3.1666666666666665, 3.0, 5.0, 6.0] \n",
            "AvgIndex 5.920634920634921 \n",
            "AvgIndex2 1.1640419947506564\n",
            "Economy rate :  7.03968253968254 \t Avgwicket/match :  7\n",
            "\n",
            "DJ Hooda \n",
            "Wickets :  6 \tMatches :  14 \tBalls :  142 \n",
            "MatchStats :  ['1/22-3', '0/30-5', '0/5-1', '0/16-2', '2/16-2', '0/8-1', '1/7-1', '1/18-2', '0/17-1', '0/8-1', '0/17-3', '0/8-1', '1/13-2', '0/10-1'] \n",
            "MatchIndex :  [3.6666666666666665, 6.0, 5.0, 8.0, 2.6666666666666665, 8.0, 3.5, 4.5, 17.0, 8.0, 5.666666666666667, 8.0, 3.25, 10.0] \n",
            "AvgIndex 6.660714285714286 \n",
            "AvgIndex2 1.335294117647059\n",
            "Economy rate :  8.107142857142858 \t Avgwicket/match :  7\n",
            "\n",
            "DW Steyn \n",
            "Wickets :  5 \tMatches :  6 \tBalls :  136 \n",
            "MatchStats :  ['0/17-3', '2/44-4', '2/30-4', '1/33-4', '0/57-5', '0/44-5'] \n",
            "MatchIndex :  [5.666666666666667, 3.6666666666666665, 2.5, 4.125, 11.4, 8.8] \n",
            "AvgIndex 6.026388888888889 \n",
            "AvgIndex2 1.6973118279569894\n",
            "Economy rate :  8.769444444444446 \t Avgwicket/match :  6\n",
            "\n",
            "SK Raina \n",
            "Wickets :  1 \tMatches :  11 \tBalls :  139 \n",
            "MatchStats :  ['0/16-3', '0/18-2', '0/35-4', '0/15-2', '0/24-2', '0/9-1', '1/11-2', '0/6-1', '0/28-4', '0/24-2', '0/6-1'] \n",
            "MatchIndex :  [5.333333333333333, 9.0, 8.75, 7.5, 12.0, 9.0, 2.75, 6.0, 7.0, 12.0, 6.0] \n",
            "AvgIndex 7.757575757575757 \n",
            "AvgIndex2 7.340277777777779\n",
            "Economy rate :  8.007575757575758 \t Avgwicket/match :  2\n",
            "\n",
            "T Shamsi \n",
            "Wickets :  3 \tMatches :  4 \tBalls :  96 \n",
            "MatchStats :  ['1/37-4', '1/23-4', '1/39-4', '0/52-4'] \n",
            "MatchIndex :  [4.625, 2.875, 4.875, 13.0] \n",
            "AvgIndex 6.34375 \n",
            "AvgIndex2 2.9038461538461537\n",
            "Economy rate :  9.4375 \t Avgwicket/match :  4\n",
            "\n",
            "KA Pollard \n",
            "Wickets :  4 \tMatches :  16 \tBalls :  187 \n",
            "MatchStats :  ['0/11-1', '0/25-2', '0/23-3', '0/23-1', '0/30-2', '1/21-4', '0/13-1', '0/20-4', '1/24-2', '0/10-1', '0/26-3', '0/4-1', '0/18-3', '1/5-1', '1/36-5', '0/13-2'] \n",
            "MatchIndex :  [11.0, 12.5, 7.666666666666667, 23.0, 15.0, 2.625, 13.0, 5.0, 6.0, 10.0, 8.666666666666666, 4.0, 6.0, 2.5, 3.6, 6.5] \n",
            "AvgIndex 8.566145833333334 \n",
            "AvgIndex2 2.335128205128205\n",
            "Economy rate :  9.486458333333333 \t Avgwicket/match :  5\n",
            "\n",
            "Imran Tahir \n",
            "Wickets :  57 \tMatches :  42 \tBalls :  963 \n",
            "MatchStats :  ['0/29-4', '3/26-4', '2/27-5', '0/59-4', '3/28-4', '2/29-4', '1/25-5', '1/53-4', '1/27-5', '1/23-4', '1/32-4', '0/48-4', '3/18-4', '4/27-4', '1/36-4', '1/24-5', '3/9-4', '1/20-2', '2/23-4', '1/25-4', '0/20-4', '2/21-4', '0/28-4', '4/27-5', '2/20-4', '1/23-2', '0/27-4', '2/34-4', '1/44-5', '2/35-4', '0/30-3', '1/31-4', '0/38-4', '1/38-4', '4/12-4', '0/40-4', '2/33-5', '1/32-4', '2/23-3', '0/24-3', '0/30-4', '1/24-4'] \n",
            "MatchIndex :  [7.25, 1.625, 1.8, 14.75, 1.75, 2.4166666666666665, 2.5, 6.625, 2.7, 2.875, 4.0, 12.0, 1.125, 1.35, 4.5, 2.4, 0.5625, 5.0, 1.9166666666666667, 3.125, 5.0, 1.75, 7.0, 1.08, 1.6666666666666667, 5.75, 6.75, 2.8333333333333335, 4.4, 2.9166666666666665, 10.0, 3.875, 9.5, 4.75, 0.6, 10.0, 2.2, 4.0, 2.5555555555555554, 8.0, 7.5, 3.0] \n",
            "AvgIndex 4.4142394179894175 \n",
            "AvgIndex2 0.13040361864996525\n",
            "Economy rate :  7.436111111111114 \t Avgwicket/match :  58\n",
            "\n",
            "R Dhawan \n",
            "Wickets :  2 \tMatches :  2 \tBalls :  45 \n",
            "MatchStats :  ['1/35-5', '1/21-4'] \n",
            "MatchIndex :  [3.5, 2.625] \n",
            "AvgIndex 3.0625 \n",
            "AvgIndex2 2.45\n",
            "Economy rate :  6.125 \t Avgwicket/match :  3\n",
            "\n",
            "R Sathish \n",
            "Wickets :  2 \tMatches :  3 \tBalls :  38 \n",
            "MatchStats :  ['2/20-3', '0/30-3', '0/9-1'] \n",
            "MatchIndex :  [2.2222222222222223, 10.0, 9.0] \n",
            "AvgIndex 7.0740740740740735 \n",
            "AvgIndex2 3.6666666666666665\n",
            "Economy rate :  8.555555555555555 \t Avgwicket/match :  3\n",
            "\n",
            "JA Morkel \n",
            "Wickets :  3 \tMatches :  2 \tBalls :  34 \n",
            "MatchStats :  ['3/36-4', '0/30-3'] \n",
            "MatchIndex :  [2.25, 10.0] \n",
            "AvgIndex 6.125 \n",
            "AvgIndex2 2.7142857142857144\n",
            "Economy rate :  9.5 \t Avgwicket/match :  4\n",
            "\n",
            "AB Dinda \n",
            "Wickets :  15 \tMatches :  12 \tBalls :  257 \n",
            "MatchStats :  ['4/27-5', '3/40-5', '1/34-4', '1/34-5', '0/26-4', '0/26-5', '0/13-1', '3/20-4', '1/16-3', '1/58-5', '1/26-3', '0/37-4'] \n",
            "MatchIndex :  [1.08, 2.0, 4.25, 3.4, 6.5, 5.2, 13.0, 1.25, 2.6666666666666665, 5.8, 4.333333333333333, 9.25] \n",
            "AvgIndex 4.894166666666666 \n",
            "AvgIndex2 0.515193370165746\n",
            "Economy rate :  7.770833333333335 \t Avgwicket/match :  16\n",
            "\n",
            "S Nadeem \n",
            "Wickets :  23 \tMatches :  27 \tBalls :  484 \n",
            "MatchStats :  ['0/32-4', '2/23-4', '1/30-4', '0/42-4', '1/13-5', '1/23-5', '2/13-2', '0/9-1', '0/28-2', '1/21-3', '1/12-3', '1/36-3', '1/24-2', '3/34-4', '0/22-3', '1/43-4', '1/27-2', '0/14-1', '0/22-2', '1/31-4', '0/29-4', '0/9-1', '1/8-2', '1/35-4', '2/19-4', '2/30-5', '0/49-5'] \n",
            "MatchIndex :  [8.0, 1.9166666666666667, 3.75, 10.5, 1.3, 2.3, 2.1666666666666665, 9.0, 14.0, 3.5, 2.0, 6.0, 6.0, 2.125, 7.333333333333333, 5.375, 6.75, 14.0, 11.0, 3.875, 7.25, 9.0, 2.0, 4.375, 1.5833333333333333, 2.0, 9.8] \n",
            "AvgIndex 5.811111111111111 \n",
            "AvgIndex2 0.36307609860664525\n",
            "Economy rate :  8.364197530864198 \t Avgwicket/match :  24\n",
            "\n",
            "JP Duminy \n",
            "Wickets :  2 \tMatches :  7 \tBalls :  61 \n",
            "MatchStats :  ['1/4-1', '0/14-2', '0/9-1', '0/19-3', '1/9-1', '0/28-2', '0/8-1'] \n",
            "MatchIndex :  [2.0, 7.0, 9.0, 6.333333333333333, 4.5, 14.0, 8.0] \n",
            "AvgIndex 7.261904761904761 \n",
            "AvgIndex2 3.822222222222222\n",
            "Economy rate :  8.19047619047619 \t Avgwicket/match :  3\n",
            "\n",
            "DR Smith \n",
            "Wickets :  10 \tMatches :  17 \tBalls :  195 \n",
            "MatchStats :  ['0/26-2', '0/12-2', '1/15-3', '0/13-1', '4/8-5', '2/37-5', '0/14-1', '1/29-2', '0/23-1', '1/10-2', '0/13-2', '0/17-2', '0/14-3', '1/18-1', '0/27-4', '0/12-1', '0/17-1'] \n",
            "MatchIndex :  [13.0, 6.0, 2.5, 13.0, 0.32, 2.466666666666667, 14.0, 7.25, 23.0, 2.5, 6.5, 8.5, 4.666666666666667, 9.0, 6.75, 12.0, 17.0] \n",
            "AvgIndex 8.732549019607843 \n",
            "AvgIndex2 1.0287524366471736\n",
            "Economy rate :  10.348039215686276 \t Avgwicket/match :  11\n",
            "\n",
            "JD Unadkat \n",
            "Wickets :  55 \tMatches :  46 \tBalls :  988 \n",
            "MatchStats :  ['0/49-4', '2/25-5', '1/42-4', '3/41-5', '1/27-4', '1/20-5', '4/31-4', '2/28-4', '5/30-4', '3/29-4', '2/12-3', '1/24-4', '2/21-4', '0/44-4', '1/26-4', '1/54-5', '2/23-3', '1/36-5', '1/49-4', '1/28-4', '1/24-2', '0/35-3', '0/34-3', '0/39-4', '2/31-4', '1/33-3', '3/46-4', '0/26-5', '1/36-5', '0/34-5', '1/37-5', '0/23-3', '2/27-4', '0/33-2', '1/51-5', '0/36-4', '1/50-5', '2/26-4', '1/9-1', '0/44-5', '0/30-4', '1/15-2', '0/31-3', '2/31-5', '2/32-3', '0/46-5'] \n",
            "MatchIndex :  [12.25, 1.6666666666666667, 5.25, 2.05, 3.375, 2.0, 1.55, 2.3333333333333335, 1.25, 1.8125, 1.3333333333333333, 3.0, 1.75, 11.0, 3.25, 5.4, 2.5555555555555554, 3.6, 6.125, 3.5, 6.0, 11.666666666666666, 11.333333333333334, 9.75, 2.5833333333333335, 5.5, 2.875, 5.2, 3.6, 6.8, 3.7, 7.666666666666667, 2.25, 16.5, 5.1, 9.0, 5.0, 2.1666666666666665, 4.5, 8.8, 7.5, 3.75, 10.333333333333334, 2.066666666666667, 3.5555555555555554, 9.2] \n",
            "AvgIndex 5.248882850241545 \n",
            "AvgIndex2 0.1545963387330436\n",
            "Economy rate :  8.506159420289855 \t Avgwicket/match :  56\n",
            "\n",
            "S Kaushik \n",
            "Wickets :  6 \tMatches :  10 \tBalls :  210 \n",
            "MatchStats :  ['0/32-4', '3/20-5', '1/29-4', '0/28-5', '0/14-1', '0/50-4', '2/22-4', '0/44-4', '0/29-5', '0/36-4'] \n",
            "MatchIndex :  [8.0, 1.0, 3.625, 5.6, 14.0, 12.5, 1.8333333333333333, 11.0, 5.8, 9.0] \n",
            "AvgIndex 7.235833333333334 \n",
            "AvgIndex2 1.354918032786885\n",
            "Economy rate :  8.264999999999999 \t Avgwicket/match :  7\n",
            "\n",
            "JO Holder \n",
            "Wickets :  18 \tMatches :  11 \tBalls :  259 \n",
            "MatchStats :  ['0/36-5', '0/14-3', '0/22-4', '3/33-5', '4/33-5', '2/28-5', '1/50-5', '2/28-5', '2/25-4', '3/25-5', '1/50-4'] \n",
            "MatchIndex :  [7.2, 4.666666666666667, 5.5, 1.65, 1.32, 1.8666666666666667, 5.0, 1.8666666666666667, 2.0833333333333335, 1.25, 6.25] \n",
            "AvgIndex 3.513939393939394 \n",
            "AvgIndex2 0.37948073701842555\n",
            "Economy rate :  6.865151515151516 \t Avgwicket/match :  19\n",
            "\n",
            "KC Cariappa \n",
            "Wickets :  7 \tMatches :  10 \tBalls :  212 \n",
            "MatchStats :  ['0/15-3', '1/38-5', '2/16-3', '0/36-5', '0/55-4', '1/23-4', '1/38-5', '2/24-4', '0/42-5', '0/34-3'] \n",
            "MatchIndex :  [5.0, 3.8, 1.7777777777777777, 7.2, 13.75, 2.875, 3.8, 2.0, 8.4, 11.333333333333334] \n",
            "AvgIndex 5.993611111111111 \n",
            "AvgIndex2 1.0981220657276995\n",
            "Economy rate :  7.796666666666667 \t Avgwicket/match :  8\n",
            "\n",
            "Gurkeerat Singh \n",
            "Wickets :  2 \tMatches :  3 \tBalls :  26 \n",
            "MatchStats :  ['0/8-2', '0/8-1', '2/15-3'] \n",
            "MatchIndex :  [4.0, 8.0, 1.6666666666666667] \n",
            "AvgIndex 4.555555555555555 \n",
            "AvgIndex2 2.4285714285714284\n",
            "Economy rate :  5.666666666666667 \t Avgwicket/match :  3\n",
            "\n",
            "SM Boland \n",
            "Wickets :  3 \tMatches :  2 \tBalls :  43 \n",
            "MatchStats :  ['0/25-4', '3/31-4'] \n",
            "MatchIndex :  [6.25, 1.9375] \n",
            "AvgIndex 4.09375 \n",
            "AvgIndex2 2.0\n",
            "Economy rate :  7.0 \t Avgwicket/match :  4\n",
            "\n",
            "Swapnil Singh \n",
            "Wickets :  1 \tMatches :  5 \tBalls :  61 \n",
            "MatchStats :  ['0/29-3', '1/14-2', '0/22-2', '0/19-3', '0/6-1'] \n",
            "MatchIndex :  [9.666666666666666, 3.5, 11.0, 6.333333333333333, 6.0] \n",
            "AvgIndex 7.3 \n",
            "AvgIndex2 6.666666666666667\n",
            "Economy rate :  8.0 \t Avgwicket/match :  2\n",
            "\n",
            "Yuvraj Singh \n",
            "Wickets :  2 \tMatches :  9 \tBalls :  63 \n",
            "MatchStats :  ['0/13-3', '0/10-1', '0/11-2', '0/11-1', '0/7-1', '2/7-1', '0/16-1', '0/10-2', '0/13-1'] \n",
            "MatchIndex :  [4.333333333333333, 10.0, 5.5, 11.0, 7.0, 2.3333333333333335, 16.0, 5.0, 13.0] \n",
            "AvgIndex 8.24074074074074 \n",
            "AvgIndex2 4.149122807017544\n",
            "Economy rate :  8.75925925925926 \t Avgwicket/match :  3\n",
            "\n",
            "CJ Jordan \n",
            "Wickets :  25 \tMatches :  20 \tBalls :  415 \n",
            "MatchStats :  ['2/43-5', '0/52-5', '0/37-4', '4/12-4', '0/22-4', '0/12-1', '1/10-3', '3/31-5', '3/47-5', '1/10-2', '0/35-5', '1/56-5', '0/42-3', '1/38-5', '1/21-4', '1/32-3', '3/17-5', '2/27-5', '1/45-4', '1/31-3'] \n",
            "MatchIndex :  [2.8666666666666667, 10.4, 9.25, 0.6, 5.5, 12.0, 1.6666666666666667, 1.55, 2.35, 2.5, 7.0, 5.6, 14.0, 3.8, 2.625, 5.333333333333333, 0.85, 1.8, 5.625, 5.166666666666667] \n",
            "AvgIndex 5.024166666666666 \n",
            "AvgIndex2 0.31693280106453764\n",
            "Economy rate :  7.939166666666668 \t Avgwicket/match :  26\n",
            "\n",
            "A Zampa \n",
            "Wickets :  21 \tMatches :  14 \tBalls :  292 \n",
            "MatchStats :  ['2/36-4', '6/19-4', '0/9-2', '3/21-4', '1/32-4', '1/27-4', '1/45-4', '1/29-5', '2/22-4', '0/9-1', '2/32-5', '1/53-4', '0/27-3', '1/12-5'] \n",
            "MatchIndex :  [3.0, 0.6785714285714286, 4.5, 1.3125, 4.0, 3.375, 5.625, 2.9, 1.8333333333333333, 9.0, 2.1333333333333333, 6.625, 9.0, 1.2] \n",
            "AvgIndex 3.9416241496598645 \n",
            "AvgIndex2 0.341864406779661\n",
            "Economy rate :  7.203571428571429 \t Avgwicket/match :  22\n",
            "\n",
            "Anureet Singh \n",
            "Wickets :  3 \tMatches :  6 \tBalls :  74 \n",
            "MatchStats :  ['0/15-3', '1/29-4', '0/26-2', '1/20-2', '1/12-1', '0/10-1'] \n",
            "MatchIndex :  [5.0, 3.625, 13.0, 5.0, 6.0, 10.0] \n",
            "AvgIndex 7.104166666666667 \n",
            "AvgIndex2 3.013157894736842\n",
            "Economy rate :  9.541666666666666 \t Avgwicket/match :  4\n",
            "\n",
            "V Kohli \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  8 \n",
            "MatchStats :  ['0/13-2'] \n",
            "MatchIndex :  [6.5] \n",
            "AvgIndex 6.5 \n",
            "AvgIndex2 6.5\n",
            "Economy rate :  6.5 \t Avgwicket/match :  1\n",
            "\n",
            "CH Gayle \n",
            "Wickets :  2 \tMatches :  5 \tBalls :  70 \n",
            "MatchStats :  ['0/3-3', '0/26-3', '2/12-3', '0/24-4', '0/5-1'] \n",
            "MatchIndex :  [1.0, 8.666666666666666, 1.3333333333333333, 6.0, 5.0] \n",
            "AvgIndex 4.4 \n",
            "AvgIndex2 2.2424242424242418\n",
            "Economy rate :  4.933333333333333 \t Avgwicket/match :  3\n",
            "\n",
            "Sachin Baby \n",
            "Wickets :  3 \tMatches :  2 \tBalls :  10 \n",
            "MatchStats :  ['2/4-1', '1/4-1'] \n",
            "MatchIndex :  [1.3333333333333333, 2.0] \n",
            "AvgIndex 1.6666666666666665 \n",
            "AvgIndex2 1.1428571428571428\n",
            "Economy rate :  4.0 \t Avgwicket/match :  4\n",
            "\n",
            "AS Rajpoot \n",
            "Wickets :  23 \tMatches :  27 \tBalls :  542 \n",
            "MatchStats :  ['1/15-3', '0/28-4', '1/36-4', '1/22-3', '3/37-5', '0/26-4', '0/20-2', '1/16-3', '0/14-2', '2/34-5', '0/24-5', '1/52-5', '0/33-4', '2/23-5', '5/15-4', '0/31-3', '1/41-3', '0/21-2', '1/47-5', '2/19-5', '0/47-5', '1/40-5', '1/41-5', '0/42-4', '0/8-1', '0/11-2', '0/64-5'] \n",
            "MatchIndex :  [2.5, 7.0, 4.5, 3.6666666666666665, 1.85, 6.5, 10.0, 2.6666666666666665, 7.0, 2.2666666666666666, 4.8, 5.2, 8.25, 1.5333333333333334, 0.625, 10.333333333333334, 6.833333333333333, 10.5, 4.7, 1.2666666666666666, 9.4, 4.0, 4.1, 10.5, 8.0, 5.5, 12.8] \n",
            "AvgIndex 5.78858024691358 \n",
            "AvgIndex2 0.34287245444801717\n",
            "Economy rate :  7.898765432098766 \t Avgwicket/match :  24\n",
            "\n",
            "BCJ Cutting \n",
            "Wickets :  10 \tMatches :  16 \tBalls :  264 \n",
            "MatchStats :  ['0/11-2', '1/14-3', '2/20-3', '2/35-5', '1/35-4', '0/29-3', '0/18-2', '1/41-5', '1/27-2', '0/40-5', '0/14-2', '1/28-3', '0/23-2', '1/12-2', '0/15-1', '0/37-5'] \n",
            "MatchIndex :  [5.5, 2.3333333333333335, 2.2222222222222223, 2.3333333333333335, 4.375, 9.666666666666666, 9.0, 4.1, 6.75, 8.0, 7.0, 4.666666666666667, 11.5, 3.0, 15.0, 7.4] \n",
            "AvgIndex 6.427951388888889 \n",
            "AvgIndex2 0.8520703933747412\n",
            "Economy rate :  8.573958333333334 \t Avgwicket/match :  11\n",
            "\n",
            "M Vijay \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  7 \n",
            "MatchStats :  ['0/8-2'] \n",
            "MatchIndex :  [4.0] \n",
            "AvgIndex 4.0 \n",
            "AvgIndex2 4.0\n",
            "Economy rate :  4.0 \t Avgwicket/match :  1\n",
            "\n",
            "N Rana \n",
            "Wickets :  7 \tMatches :  14 \tBalls :  107 \n",
            "MatchStats :  ['0/3-1', '0/9-1', '0/9-1', '1/22-3', '1/12-2', '2/11-1', '2/11-2', '0/0-1', '0/17-3', '0/5-1', '0/13-1', '1/8-1', '0/7-1', '0/16-2'] \n",
            "MatchIndex :  [3.0, 9.0, 9.0, 3.6666666666666665, 3.0, 3.6666666666666665, 1.8333333333333333, 0.0, 5.666666666666667, 5.0, 13.0, 4.0, 7.0, 8.0] \n",
            "AvgIndex 5.416666666666667 \n",
            "AvgIndex2 0.9848484848484849\n",
            "Economy rate :  6.964285714285714 \t Avgwicket/match :  8\n",
            "\n",
            "DL Chahar \n",
            "Wickets :  45 \tMatches :  48 \tBalls :  1046 \n",
            "MatchStats :  ['0/13-2', '0/29-4', '0/21-2', '1/36-4', '0/18-2', '0/17-5', '1/20-5', '2/19-5', '1/22-3', '1/40-5', '3/21-5', '2/34-4', '0/36-4', '1/31-3', '1/14-3', '0/18-2', '0/37-4', '2/30-5', '3/15-4', '0/20-2', '0/19-3', '1/18-5', '1/23-4', '1/31-5', '1/31-5', '0/25-5', '2/26-5', '1/30-5', '1/46-5', '1/32-3', '0/28-4', '1/30-4', '2/28-5', '3/26-5', '2/32-5', '1/32-4', '0/38-5', '2/31-5', '0/18-3', '0/47-5', '1/10-4', '0/28-5', '2/19-4', '2/19-4', '0/34-4', '2/33-4', '0/31-3', '0/30-3'] \n",
            "MatchIndex :  [6.5, 7.25, 10.5, 4.5, 9.0, 3.4, 2.0, 1.2666666666666666, 3.6666666666666665, 4.0, 1.05, 2.8333333333333335, 9.0, 5.166666666666667, 2.3333333333333335, 9.0, 9.25, 2.0, 0.9375, 10.0, 6.333333333333333, 1.8, 2.875, 3.1, 3.1, 5.0, 1.7333333333333334, 3.0, 4.6, 5.333333333333333, 7.0, 3.75, 1.8666666666666667, 1.3, 2.1333333333333333, 4.0, 7.6, 2.066666666666667, 6.0, 9.4, 1.25, 5.6, 1.5833333333333333, 1.5833333333333333, 8.5, 2.75, 10.333333333333334, 10.0] \n",
            "AvgIndex 4.734288194444445 \n",
            "AvgIndex2 0.15327009100724967\n",
            "Economy rate :  6.90034722222222 \t Avgwicket/match :  46\n",
            "\n",
            "KS Williamson \n",
            "Wickets :  0 \tMatches :  2 \tBalls :  18 \n",
            "MatchStats :  ['0/7-1', '0/24-2'] \n",
            "MatchIndex :  [7.0, 12.0] \n",
            "AvgIndex 9.5 \n",
            "AvgIndex2 19.0\n",
            "Economy rate :  9.5 \t Avgwicket/match :  1\n",
            "\n",
            "TA Boult \n",
            "Wickets :  57 \tMatches :  41 \tBalls :  971 \n",
            "MatchStats :  ['1/39-5', '1/41-5', '0/50-4', '0/36-4', '1/33-4', '2/31-5', '1/31-5', '1/42-5', '1/34-4', '1/26-3', '2/44-5', '2/29-4', '1/33-4', '2/23-4', '2/44-5', '1/49-4', '3/26-4', '0/30-5', '0/43-4', '2/40-4', '2/21-4', '1/34-5', '0/37-5', '2/27-5', '1/37-4', '1/20-4', '1/23-4', '2/30-4', '2/35-4', '1/42-4', '2/28-4', '2/26-4', '1/36-5', '1/32-5', '1/48-5', '4/18-5', '0/40-4', '1/40-5', '3/21-4', '2/9-2', '3/30-4'] \n",
            "MatchIndex :  [3.9, 4.1, 12.5, 9.0, 4.125, 2.066666666666667, 3.1, 4.2, 4.25, 4.333333333333333, 2.933333333333333, 2.4166666666666665, 4.125, 1.9166666666666667, 2.933333333333333, 6.125, 1.625, 6.0, 10.75, 3.3333333333333335, 1.75, 3.4, 7.4, 1.8, 4.625, 2.5, 2.875, 2.5, 2.9166666666666665, 5.25, 2.3333333333333335, 2.1666666666666665, 3.6, 3.2, 4.8, 0.72, 10.0, 4.0, 1.3125, 1.5, 1.875] \n",
            "AvgIndex 4.006280487804878 \n",
            "AvgIndex2 0.13482321072141434\n",
            "Economy rate :  7.688211382113822 \t Avgwicket/match :  58\n",
            "\n",
            "TS Mills \n",
            "Wickets :  5 \tMatches :  5 \tBalls :  111 \n",
            "MatchStats :  ['1/32-5', '1/33-4', '1/24-2', '0/37-4', '2/31-5'] \n",
            "MatchIndex :  [3.2, 4.125, 6.0, 9.25, 2.066666666666667] \n",
            "AvgIndex 4.928333333333333 \n",
            "AvgIndex2 1.6192307692307693\n",
            "Economy rate :  8.42 \t Avgwicket/match :  6\n",
            "\n",
            "A Choudhary \n",
            "Wickets :  5 \tMatches :  5 \tBalls :  108 \n",
            "MatchStats :  ['1/55-5', '0/21-3', '1/32-5', '2/17-4', '1/19-3'] \n",
            "MatchIndex :  [5.5, 7.0, 3.2, 1.4166666666666667, 3.1666666666666665] \n",
            "AvgIndex 4.056666666666667 \n",
            "AvgIndex2 1.3455128205128206\n",
            "Economy rate :  6.996666666666667 \t Avgwicket/match :  6\n",
            "\n",
            "TM Head \n",
            "Wickets :  3 \tMatches :  5 \tBalls :  48 \n",
            "MatchStats :  ['0/11-1', '1/18-2', '0/11-1', '0/11-2', '2/30-3'] \n",
            "MatchIndex :  [11.0, 4.5, 11.0, 5.5, 3.3333333333333335] \n",
            "AvgIndex 7.066666666666667 \n",
            "AvgIndex2 2.90625\n",
            "Economy rate :  9.3 \t Avgwicket/match :  4\n",
            "\n",
            "Rashid Khan \n",
            "Wickets :  80 \tMatches :  62 \tBalls :  1490 \n",
            "MatchStats :  ['2/36-4', '3/19-4', '1/20-4', '1/29-4', '2/45-5', '0/35-4', '2/17-4', '1/18-4', '1/38-5', '0/25-4', '1/19-4', '1/22-4', '3/34-4', '0/11-3', '1/27-4', '1/24-4', '1/25-4', '1/19-4', '2/27-5', '1/20-4', '1/23-4', '2/17-4', '1/24-4', '1/17-5', '0/31-4', '1/55-4', '1/49-4', '2/11-4', '3/19-4', '1/31-4', '3/23-4', '1/31-5', '1/36-4', '0/25-4', '3/27-4', '0/31-4', '2/11-4', '3/19-4', '0/26-4', '1/23-4', '1/48-5', '1/30-4', '3/21-4', '0/23-4', '1/45-5', '2/15-5', '0/32-4', '1/25-4', '3/15-4', '0/13-4', '1/22-5', '3/12-4', '2/29-4', '0/30-4', '1/28-4', '1/20-4', '2/14-4', '3/7-4', '1/24-5', '1/33-4', '0/22-4', '1/26-4'] \n",
            "MatchIndex :  [3.0, 1.1875, 2.5, 3.625, 3.0, 8.75, 1.4166666666666667, 2.25, 3.8, 6.25, 2.375, 2.75, 2.125, 3.6666666666666665, 3.375, 3.0, 3.125, 2.375, 1.8, 2.5, 2.875, 1.4166666666666667, 3.0, 1.7, 7.75, 6.875, 6.125, 0.9166666666666666, 1.1875, 3.875, 1.4375, 3.1, 4.5, 6.25, 1.6875, 7.75, 0.9166666666666666, 1.1875, 6.5, 2.875, 4.8, 3.75, 1.3125, 5.75, 4.5, 1.0, 8.0, 3.125, 0.9375, 3.25, 2.2, 0.75, 2.4166666666666665, 7.5, 3.5, 2.5, 1.1666666666666667, 0.4375, 2.4, 4.125, 5.5, 3.25] \n",
            "AvgIndex 3.338172043010753 \n",
            "AvgIndex2 0.07630853994490358\n",
            "Economy rate :  6.105913978494623 \t Avgwicket/match :  81\n",
            "\n",
            "BA Stokes \n",
            "Wickets :  31 \tMatches :  36 \tBalls :  711 \n",
            "MatchStats :  ['1/36-5', '0/32-5', '1/41-4', '0/18-4', '3/20-5', '0/19-2', '2/23-5', '0/37-4', '1/28-4', '3/30-5', '2/33-5', '1/10-4', '2/53-5', '1/41-3', '1/30-3', '0/29-3', '0/7-1', '2/40-4', '0/21-3', '1/33-4', '0/25-4', '0/39-3', '0/31-4', '0/20-3', '0/29-4', '1/22-3', '1/13-2', '1/31-5', '2/27-5', '3/16-5', '0/7-1', '0/24-3', '0/29-3', '0/25-3', '2/33-5', '0/41-3'] \n",
            "MatchIndex :  [3.6, 6.4, 5.125, 4.5, 1.0, 9.5, 1.5333333333333334, 9.25, 3.5, 1.5, 2.2, 1.25, 3.533333333333333, 6.833333333333333, 5.0, 9.666666666666666, 7.0, 3.3333333333333335, 7.0, 4.125, 6.25, 13.0, 7.75, 6.666666666666667, 7.25, 3.6666666666666665, 3.25, 3.1, 1.8, 0.8, 7.0, 8.0, 9.666666666666666, 8.333333333333334, 2.2, 13.666666666666666] \n",
            "AvgIndex 5.506944444444444 \n",
            "AvgIndex2 0.2478066248880931\n",
            "Economy rate :  7.688888888888889 \t Avgwicket/match :  32\n",
            "\n",
            "CR Woakes \n",
            "Wickets :  26 \tMatches :  18 \tBalls :  396 \n",
            "MatchStats :  ['0/36-3', '1/36-5', '2/30-4', '2/50-5', '1/32-4', '1/20-2', '3/6-3', '0/38-4', '0/20-3', '2/46-5', '3/19-4', '1/39-5', '2/21-5', '3/36-5', '2/36-4', '2/48-5', '1/31-4', '0/45-4'] \n",
            "MatchIndex :  [12.0, 3.6, 2.5, 3.3333333333333335, 4.0, 5.0, 0.5, 9.5, 6.666666666666667, 3.066666666666667, 1.1875, 3.9, 1.4, 1.8, 3.0, 3.2, 3.875, 11.25] \n",
            "AvgIndex 4.432175925925926 \n",
            "AvgIndex2 0.3062189054726368\n",
            "Economy rate :  7.9787037037037045 \t Avgwicket/match :  27\n",
            "\n",
            "MS Gony \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  15 \n",
            "MatchStats :  ['0/32-3'] \n",
            "MatchIndex :  [10.666666666666666] \n",
            "AvgIndex 10.666666666666666 \n",
            "AvgIndex2 10.666666666666666\n",
            "Economy rate :  10.666666666666666 \t Avgwicket/match :  1\n",
            "\n",
            "PJ Cummins \n",
            "Wickets :  28 \tMatches :  26 \tBalls :  610 \n",
            "MatchStats :  ['1/30-5', '2/25-4', '2/24-4', '2/40-5', '0/38-5', '2/22-5', '0/22-3', '2/31-4', '0/65-5', '1/39-4', '2/35-5', '2/22-5', '0/49-4', '1/19-4', '1/15-3', '0/49-4', '0/26-5', '0/29-4', '0/39-5', '0/33-3', '1/32-4', '0/20-4', '3/17-4', '0/31-4', '2/31-5', '4/34-5'] \n",
            "MatchIndex :  [3.0, 2.0833333333333335, 2.0, 2.6666666666666665, 7.6, 1.4666666666666666, 7.333333333333333, 2.5833333333333335, 13.0, 4.875, 2.3333333333333335, 1.4666666666666666, 12.25, 2.375, 2.5, 12.25, 5.2, 7.25, 7.8, 11.0, 4.0, 5.0, 1.0625, 7.75, 2.066666666666667, 1.36] \n",
            "AvgIndex 5.087403846153847 \n",
            "AvgIndex2 0.2619798811156836\n",
            "Economy rate :  7.3455128205128215 \t Avgwicket/match :  29\n",
            "\n",
            "B Stanlake \n",
            "Wickets :  7 \tMatches :  6 \tBalls :  150 \n",
            "MatchStats :  ['2/29-5', '0/41-5', '1/29-5', '2/42-5', '2/21-4', '0/38-5'] \n",
            "MatchIndex :  [1.9333333333333333, 8.2, 2.9, 2.8, 1.75, 7.6] \n",
            "AvgIndex 4.197222222222222 \n",
            "AvgIndex2 0.9546511627906977\n",
            "Economy rate :  6.841666666666668 \t Avgwicket/match :  8\n",
            "\n",
            "T Natarajan \n",
            "Wickets :  21 \tMatches :  22 \tBalls :  471 \n",
            "MatchStats :  ['1/26-3', '0/13-2', '0/22-4', '0/7-3', '0/15-1', '1/33-3', '1/34-4', '1/27-4', '1/29-5', '3/45-5', '0/30-4', '3/25-4', '1/32-4', '2/42-5', '2/42-5', '0/46-5', '0/24-5', '2/26-4', '1/13-4', '0/38-4', '2/33-4', '0/34-5'] \n",
            "MatchIndex :  [4.333333333333333, 6.5, 5.5, 2.3333333333333335, 15.0, 5.5, 4.25, 3.375, 2.9, 2.25, 7.5, 1.5625, 4.0, 2.8, 2.8, 9.2, 4.8, 2.1666666666666665, 1.625, 9.5, 2.75, 6.8] \n",
            "AvgIndex 4.883901515151515 \n",
            "AvgIndex2 0.3583153347732182\n",
            "Economy rate :  7.540909090909093 \t Avgwicket/match :  22\n",
            "\n",
            "DT Christian \n",
            "Wickets :  16 \tMatches :  17 \tBalls :  320 \n",
            "MatchStats :  ['0/24-3', '0/27-5', '1/21-4', '1/6-1', '1/31-5', '1/25-4', '1/28-4', '2/23-3', '0/21-3', '1/18-2', '2/10-2', '0/34-5', '2/35-5', '1/12-2', '2/35-3', '1/22-3', '0/37-4'] \n",
            "MatchIndex :  [8.0, 5.4, 2.625, 3.0, 3.1, 3.125, 3.5, 2.5555555555555554, 7.0, 4.5, 1.6666666666666667, 6.8, 2.3333333333333335, 3.0, 3.888888888888889, 3.6666666666666665, 9.25] \n",
            "AvgIndex 4.318300653594771 \n",
            "AvgIndex2 0.4425518925518925\n",
            "Economy rate :  7.106862745098038 \t Avgwicket/match :  17\n",
            "\n",
            "RD Chahar \n",
            "Wickets :  31 \tMatches :  30 \tBalls :  656 \n",
            "MatchStats :  ['1/33-5', '1/26-3', '0/11-3', '2/22-5', '0/27-4', '1/35-4', '0/31-4', '3/19-5', '3/29-4', '0/21-4', '1/54-5', '0/21-4', '0/12-1', '2/14-4', '1/14-4', '1/36-4', '2/26-4', '1/31-5', '2/27-5', '0/16-1', '1/24-4', '1/27-4', '2/19-4', '2/33-4', '2/25-4', '0/37-4', '1/43-5', '1/24-4', '0/36-4', '0/35-2'] \n",
            "MatchIndex :  [3.3, 4.333333333333333, 3.6666666666666665, 1.4666666666666666, 6.75, 4.375, 7.75, 0.95, 1.8125, 5.25, 5.4, 5.25, 12.0, 1.1666666666666667, 1.75, 4.5, 2.1666666666666665, 3.1, 1.8, 16.0, 3.0, 3.375, 1.5833333333333333, 2.75, 2.0833333333333335, 9.25, 4.3, 3.0, 9.0, 17.5] \n",
            "AvgIndex 4.954305555555555 \n",
            "AvgIndex2 0.2399391335481561\n",
            "Economy rate :  7.446111111111112 \t Avgwicket/match :  32\n",
            "\n",
            "Tejas Baroka \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  21 \n",
            "MatchStats :  ['0/33-4'] \n",
            "MatchIndex :  [8.25] \n",
            "AvgIndex 8.25 \n",
            "AvgIndex2 8.25\n",
            "Economy rate :  8.25 \t Avgwicket/match :  1\n",
            "\n",
            "Basil Thampi \n",
            "Wickets :  21 \tMatches :  20 \tBalls :  437 \n",
            "MatchStats :  ['0/21-3', '0/21-3', '0/34-5', '1/31-4', '2/44-4', '1/45-5', '1/34-5', '4/29-4', '2/35-5', '1/41-5', '1/48-4', '2/45-4', '2/4-2', '2/15-3', '1/26-2', '0/70-5', '0/44-5', '0/29-4', '0/42-4', '1/46-4'] \n",
            "MatchIndex :  [7.0, 7.0, 6.8, 3.875, 3.6666666666666665, 4.5, 3.4, 1.45, 2.3333333333333335, 4.1, 6.0, 3.75, 0.6666666666666666, 1.6666666666666667, 6.5, 14.0, 8.8, 7.25, 10.5, 5.75] \n",
            "AvgIndex 5.450416666666667 \n",
            "AvgIndex2 0.4111638954869359\n",
            "Economy rate :  8.655000000000001 \t Avgwicket/match :  22\n",
            "\n",
            "SL Malinga \n",
            "Wickets :  29 \tMatches :  24 \tBalls :  567 \n",
            "MatchStats :  ['2/36-5', '1/32-5', '1/51-5', '0/58-5', '2/33-5', '0/32-4', '2/6-2', '1/34-5', '0/45-5', '1/14-3', '1/26-4', '0/21-5', '0/47-5', '0/24-4', '3/34-5', '5/33-4', '1/41-5', '0/32-4', '4/37-4', '0/48-4', '0/44-4', '3/36-5', '0/27-4', '2/49-5'] \n",
            "MatchIndex :  [2.4, 3.2, 5.1, 11.6, 2.2, 8.0, 1.0, 3.4, 9.0, 2.3333333333333335, 3.25, 4.2, 9.4, 6.0, 1.7, 1.375, 4.1, 8.0, 1.85, 12.0, 11.0, 1.8, 6.75, 3.2666666666666666] \n",
            "AvgIndex 5.121875 \n",
            "AvgIndex2 0.2680296508847441\n",
            "Economy rate :  7.784027777777777 \t Avgwicket/match :  30\n",
            "\n",
            "CJ Anderson \n",
            "Wickets :  9 \tMatches :  11 \tBalls :  177 \n",
            "MatchStats :  ['0/10-1', '1/23-3', '1/27-3', '1/36-4', '1/29-3', '0/19-3', '0/5-1', '0/38-5', '3/47-5', '1/11-1', '1/59-4'] \n",
            "MatchIndex :  [10.0, 3.8333333333333335, 4.5, 4.5, 4.833333333333333, 6.333333333333333, 5.0, 7.6, 2.35, 5.5, 7.375] \n",
            "AvgIndex 5.620454545454546 \n",
            "AvgIndex2 0.9941666666666666\n",
            "Economy rate :  9.037878787878789 \t Avgwicket/match :  10\n",
            "\n",
            "C de Grandhomme \n",
            "Wickets :  7 \tMatches :  19 \tBalls :  230 \n",
            "MatchStats :  ['1/16-3', '0/12-1', '3/4-2', '0/14-2', '0/15-1', '0/7-1', '0/15-2', '0/37-5', '0/16-3', '0/27-4', '0/16-1', '1/29-4', '1/18-4', '0/8-2', '0/12-1', '1/8-3', '0/34-2', '0/23-3', '0/12-1'] \n",
            "MatchIndex :  [2.6666666666666665, 12.0, 0.5, 7.0, 15.0, 7.0, 7.5, 7.4, 5.333333333333333, 6.75, 16.0, 3.625, 2.25, 4.0, 12.0, 1.3333333333333333, 17.0, 7.666666666666667, 12.0] \n",
            "AvgIndex 7.738157894736841 \n",
            "AvgIndex2 1.1820895522388062\n",
            "Economy rate :  8.336842105263159 \t Avgwicket/match :  8\n",
            "\n",
            "S Badree \n",
            "Wickets :  9 \tMatches :  7 \tBalls :  151 \n",
            "MatchStats :  ['4/10-5', '1/32-4', '1/33-4', '2/29-3', '1/31-4', '0/14-3', '0/42-3'] \n",
            "MatchIndex :  [0.4, 4.0, 4.125, 3.2222222222222223, 3.875, 4.666666666666667, 14.0] \n",
            "AvgIndex 4.898412698412699 \n",
            "AvgIndex2 0.8489583333333333\n",
            "Economy rate :  7.761904761904761 \t Avgwicket/match :  10\n",
            "\n",
            "AJ Tye \n",
            "Wickets :  45 \tMatches :  27 \tBalls :  645 \n",
            "MatchStats :  ['5/18-5', '2/35-5', '0/35-4', '2/36-4', '3/13-4', '0/9-1', '1/37-4', '1/40-5', '0/38-5', '0/40-4', '1/39-5', '2/28-5', '2/47-5', '2/24-4', '2/30-5', '2/27-5', '0/28-4', '1/39-5', '3/25-4', '5/34-4', '4/41-5', '0/34-4', '4/16-5', '0/47-5', '1/41-4', '0/37-3', '2/54-5'] \n",
            "MatchIndex :  [0.6, 2.3333333333333335, 8.75, 3.0, 0.8125, 9.0, 4.625, 4.0, 7.6, 10.0, 3.9, 1.8666666666666667, 3.1333333333333333, 2.0, 2.0, 1.8, 7.0, 3.9, 1.5625, 1.4166666666666667, 1.64, 8.5, 0.64, 9.4, 5.125, 12.333333333333334, 3.6] \n",
            "AvgIndex 4.464382716049383 \n",
            "AvgIndex2 0.17095668859649124\n",
            "Economy rate :  7.699382716049383 \t Avgwicket/match :  46\n",
            "\n",
            "LH Ferguson \n",
            "Wickets :  14 \tMatches :  14 \tBalls :  318 \n",
            "MatchStats :  ['0/45-5', '3/8-5', '1/22-4', '1/21-3', '0/36-4', '1/42-5', '1/38-5', '0/32-2', '0/37-4', '3/16-4', '2/17-5', '1/30-4', '1/34-4', '0/54-5'] \n",
            "MatchIndex :  [9.0, 0.4, 2.75, 3.5, 9.0, 4.2, 3.8, 16.0, 9.25, 1.0, 1.1333333333333333, 3.75, 4.25, 10.8] \n",
            "AvgIndex 5.6309523809523805 \n",
            "AvgIndex2 0.5459390862944162\n",
            "Economy rate :  7.682142857142857 \t Avgwicket/match :  15\n",
            "\n",
            "SN Thakur \n",
            "Wickets :  49 \tMatches :  43 \tBalls :  927 \n",
            "MatchStats :  ['1/14-4', '3/35-4', '0/50-5', '0/29-4', '0/33-4', '1/26-4', '0/21-3', '0/12-2', '0/36-3', '3/19-5', '4/37-5', '1/7-3', '0/20-2', '2/43-5', '0/37-5', '2/44-5', '3/19-5', '0/31-4', '1/38-4', '2/33-3', '2/18-3', '1/45-5', '2/46-5', '0/38-5', '0/19-2', '1/22-5', '2/32-5', '1/27-4', '2/34-4', '2/50-5', '1/31-4', '0/41-5', '0/13-1', '2/37-4', '1/32-5', '2/39-5', '2/31-5', '2/41-5', '1/10-3', '1/39-4', '0/34-5', '0/26-3', '1/27-4'] \n",
            "MatchIndex :  [1.75, 2.1875, 10.0, 7.25, 8.25, 3.25, 7.0, 6.0, 12.0, 0.95, 1.48, 1.1666666666666667, 10.0, 2.8666666666666667, 7.4, 2.933333333333333, 0.95, 7.75, 4.75, 3.6666666666666665, 2.0, 4.5, 3.066666666666667, 7.6, 9.5, 2.2, 2.1333333333333333, 3.375, 2.8333333333333335, 3.3333333333333335, 3.875, 8.2, 13.0, 3.0833333333333335, 3.2, 2.6, 2.066666666666667, 2.7333333333333334, 1.6666666666666667, 4.875, 6.8, 8.666666666666666, 3.375] \n",
            "AvgIndex 4.797306201550386 \n",
            "AvgIndex2 0.15611163820366852\n",
            "Economy rate :  7.6531007751937965 \t Avgwicket/match :  50\n",
            "\n",
            "MM Patel \n",
            "Wickets :  1 \tMatches :  2 \tBalls :  42 \n",
            "MatchStats :  ['1/36-4', '0/22-3'] \n",
            "MatchIndex :  [4.5, 7.333333333333333] \n",
            "AvgIndex 5.916666666666666 \n",
            "AvgIndex2 5.444444444444444\n",
            "Economy rate :  8.166666666666666 \t Avgwicket/match :  2\n",
            "\n",
            "AD Mathews \n",
            "Wickets :  0 \tMatches :  2 \tBalls :  31 \n",
            "MatchStats :  ['0/16-2', '0/41-4'] \n",
            "MatchIndex :  [8.0, 10.25] \n",
            "AvgIndex 9.125 \n",
            "AvgIndex2 18.25\n",
            "Economy rate :  9.125 \t Avgwicket/match :  1\n",
            "\n",
            "S Kaul \n",
            "Wickets :  48 \tMatches :  35 \tBalls :  818 \n",
            "MatchStats :  ['1/26-5', '1/32-4', '0/45-3', '3/36-5', '2/26-4', '1/38-5', '4/30-5', '3/24-4', '1/32-5', '0/14-1', '1/35-4', '0/32-5', '0/16-4', '2/35-5', '2/34-5', '1/42-4', '3/18-5', '2/29-5', '1/38-4', '1/33-4', '1/33-5', '3/24-4', '1/26-4', '2/24-4', '1/38-5', '1/26-4', '0/48-4', '0/40-3', '2/46-4', '2/27-5', '2/33-5', '2/32-4', '0/43-3', '0/49-5', '2/64-5'] \n",
            "MatchIndex :  [2.6, 4.0, 15.0, 1.8, 2.1666666666666665, 3.8, 1.2, 1.5, 3.2, 14.0, 4.375, 6.4, 4.0, 2.3333333333333335, 2.2666666666666666, 5.25, 0.9, 1.9333333333333333, 4.75, 4.125, 3.3, 1.5, 3.25, 2.0, 3.8, 3.25, 12.0, 13.333333333333334, 3.8333333333333335, 1.8, 2.2, 2.6666666666666665, 14.333333333333334, 9.8, 4.266666666666667] \n",
            "AvgIndex 4.76952380952381 \n",
            "AvgIndex2 0.16981955185405515\n",
            "Economy rate :  8.156190476190478 \t Avgwicket/match :  49\n",
            "\n",
            "Mohammad Nabi \n",
            "Wickets :  11 \tMatches :  14 \tBalls :  297 \n",
            "MatchStats :  ['1/28-4', '1/13-4', '0/18-3', '4/15-4', '2/23-4', '1/13-4', '0/43-4', '1/23-3', '0/24-2', '0/28-3', '1/24-4', '0/26-3', '0/29-4', '0/24-5'] \n",
            "MatchIndex :  [3.5, 1.625, 6.0, 0.75, 1.9166666666666667, 1.625, 10.75, 3.8333333333333335, 12.0, 9.333333333333334, 3.0, 8.666666666666666, 7.25, 4.8] \n",
            "AvgIndex 5.360714285714286 \n",
            "AvgIndex2 0.6159139784946236\n",
            "Economy rate :  6.819047619047619 \t Avgwicket/match :  12\n",
            "\n",
            "Mohammed Siraj \n",
            "Wickets :  41 \tMatches :  35 \tBalls :  756 \n",
            "MatchStats :  ['2/39-4', '0/43-4', '2/26-4', '2/41-4', '0/33-4', '4/32-4', '1/5-2', '2/39-5', '1/39-4', '1/25-5', '0/36-3', '1/14-2', '1/54-4', '1/21-3', '0/34-5', '0/36-5', '0/48-5', '3/40-5', '2/28-5', '0/18-2', '3/26-5', '1/46-4', '1/17-4', '1/45-5', '1/34-4', '0/38-5', '2/34-5', '1/24-3', '0/44-4', '3/9-4', '0/29-2', '2/29-4', '0/12-1', '1/30-4', '2/33-5'] \n",
            "MatchIndex :  [3.25, 10.75, 2.1666666666666665, 3.4166666666666665, 8.25, 1.6, 1.25, 2.6, 4.875, 2.5, 12.0, 3.5, 6.75, 3.5, 6.8, 7.2, 9.6, 2.0, 1.8666666666666667, 9.0, 1.3, 5.75, 2.125, 4.5, 4.25, 7.6, 2.2666666666666666, 4.0, 11.0, 0.5625, 14.5, 2.4166666666666665, 12.0, 3.75, 2.2] \n",
            "AvgIndex 5.1741666666666655 \n",
            "AvgIndex2 0.1993036211699164\n",
            "Economy rate :  8.177142857142856 \t Avgwicket/match :  42\n",
            "\n",
            "K Rabada \n",
            "Wickets :  66 \tMatches :  35 \tBalls :  840 \n",
            "MatchStats :  ['2/31-5', '2/28-4', '0/18-3', '0/59-5', '3/28-4', '1/34-5', '2/24-5', '1/26-4', '2/41-5', '3/32-4', '1/32-4', '4/21-5', '2/42-4', '4/22-4', '2/39-5', '2/26-4', '3/37-5', '2/33-5', '2/29-5', '3/27-4', '2/23-4', '1/51-4', '4/24-5', '3/36-5', '2/28-5', '1/28-4', '1/33-5', '2/27-5', '2/33-5', '0/58-4', '2/30-4', '0/27-3', '0/44-5', '4/29-5', '1/36-3'] \n",
            "MatchIndex :  [2.066666666666667, 2.3333333333333335, 6.0, 11.8, 1.75, 3.4, 1.6, 3.25, 2.7333333333333334, 2.0, 4.0, 0.84, 3.5, 1.1, 2.6, 2.1666666666666665, 1.85, 2.2, 1.9333333333333333, 1.6875, 1.9166666666666667, 6.375, 0.96, 1.8, 1.8666666666666667, 3.5, 3.3, 1.8, 2.2, 14.5, 2.5, 9.0, 8.8, 1.16, 6.0] \n",
            "AvgIndex 3.5568333333333326 \n",
            "AvgIndex2 0.11278667243617484\n",
            "Economy rate :  7.447142857142858 \t Avgwicket/match :  67\n",
            "\n",
            "Washington Sundar \n",
            "Wickets :  26 \tMatches :  35 \tBalls :  660 \n",
            "MatchStats :  ['0/21-4', '1/26-4', '1/33-3', '1/7-2', '0/12-2', '2/19-2', '0/19-3', '1/23-3', '3/16-4', '0/13-4', '1/48-5', '2/23-4', '0/30-4', '0/32-3', '1/32-4', '0/14-1', '0/15-1', '0/21-2', '1/30-4', '3/24-3', '0/7-1', '0/13-2', '1/12-4', '0/20-4', '0/20-4', '2/16-3', '3/21-4', '0/39-4', '0/25-3', '1/14-4', '0/27-4', '0/20-5', '1/21-3', '1/24-4', '0/21-3'] \n",
            "MatchIndex :  [5.25, 3.25, 5.5, 1.75, 6.0, 3.1666666666666665, 6.333333333333333, 3.8333333333333335, 1.0, 3.25, 4.8, 1.9166666666666667, 7.5, 10.666666666666666, 4.0, 14.0, 15.0, 10.5, 3.75, 2.0, 7.0, 6.5, 1.5, 5.0, 5.0, 1.7777777777777777, 1.3125, 9.75, 8.333333333333334, 1.75, 6.75, 4.0, 3.5, 3.0, 7.0] \n",
            "AvgIndex 5.3040079365079364 \n",
            "AvgIndex2 0.2732528357116722\n",
            "Economy rate :  7.112380952380953 \t Avgwicket/match :  27\n",
            "\n",
            "SS Agarwal \n",
            "Wickets :  1 \tMatches :  1 \tBalls :  24 \n",
            "MatchStats :  ['1/42-4'] \n",
            "MatchIndex :  [5.25] \n",
            "AvgIndex 5.25 \n",
            "AvgIndex2 5.25\n",
            "Economy rate :  10.5 \t Avgwicket/match :  2\n",
            "\n",
            "NB Singh \n",
            "Wickets :  1 \tMatches :  2 \tBalls :  25 \n",
            "MatchStats :  ['1/8-2', '0/10-3'] \n",
            "MatchIndex :  [2.0, 3.3333333333333335] \n",
            "AvgIndex 2.666666666666667 \n",
            "AvgIndex2 2.4444444444444446\n",
            "Economy rate :  3.666666666666667 \t Avgwicket/match :  2\n",
            "\n",
            "RA Tripathi \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  6 \n",
            "MatchStats :  ['0/12-1'] \n",
            "MatchIndex :  [12.0] \n",
            "AvgIndex 12.0 \n",
            "AvgIndex2 12.0\n",
            "Economy rate :  12.0 \t Avgwicket/match :  1\n",
            "\n",
            "Ankit Soni \n",
            "Wickets :  4 \tMatches :  6 \tBalls :  112 \n",
            "MatchStats :  ['2/28-4', '2/16-5', '0/17-5', '0/26-2', '0/27-3', '0/31-3'] \n",
            "MatchIndex :  [2.3333333333333335, 1.0666666666666667, 3.4, 13.0, 9.0, 10.333333333333334] \n",
            "AvgIndex 6.522222222222222 \n",
            "AvgIndex2 1.8373333333333333\n",
            "Economy rate :  7.655555555555556 \t Avgwicket/match :  5\n",
            "\n",
            "MN Samuels \n",
            "Wickets :  0 \tMatches :  2 \tBalls :  18 \n",
            "MatchStats :  ['0/22-2', '0/12-1'] \n",
            "MatchIndex :  [11.0, 12.0] \n",
            "AvgIndex 11.5 \n",
            "AvgIndex2 23.0\n",
            "Economy rate :  11.5 \t Avgwicket/match :  1\n",
            "\n",
            "MJ Henry \n",
            "Wickets :  2 \tMatches :  2 \tBalls :  31 \n",
            "MatchStats :  ['2/31-3', '0/40-3'] \n",
            "MatchIndex :  [3.4444444444444446, 13.333333333333334] \n",
            "AvgIndex 8.38888888888889 \n",
            "AvgIndex2 4.733333333333333\n",
            "Economy rate :  11.833333333333334 \t Avgwicket/match :  3\n",
            "\n",
            "R Tewatia \n",
            "Wickets :  22 \tMatches :  28 \tBalls :  514 \n",
            "MatchStats :  ['2/20-5', '1/17-2', '0/14-3', '1/12-2', '0/20-2', '1/10-4', '1/24-4', '0/29-5', '2/36-5', '3/18-3', '0/26-3', '0/6-1', '0/11-1', '0/24-2', '3/37-4', '0/19-1', '1/6-1', '0/28-4', '0/13-2', '2/21-5', '0/35-5', '0/23-3', '1/30-5', '1/18-5', '0/25-4', '0/25-4', '0/22-3', '3/25-5'] \n",
            "MatchIndex :  [1.3333333333333333, 4.25, 4.666666666666667, 3.0, 10.0, 1.25, 3.0, 5.8, 2.4, 1.5, 8.666666666666666, 6.0, 11.0, 12.0, 2.3125, 19.0, 3.0, 7.0, 6.5, 1.4, 7.0, 7.666666666666667, 3.0, 1.8, 6.25, 6.25, 7.333333333333333, 1.25] \n",
            "AvgIndex 5.522470238095239 \n",
            "AvgIndex2 0.3231496488384657\n",
            "Economy rate :  7.120833333333333 \t Avgwicket/match :  23\n",
            "\n",
            "Avesh Khan \n",
            "Wickets :  5 \tMatches :  9 \tBalls :  185 \n",
            "MatchStats :  ['1/24-4', '0/30-4', '2/36-4', '2/29-5', '0/29-5', '0/36-2', '0/47-4', '0/28-2', '0/42-5'] \n",
            "MatchIndex :  [3.0, 7.5, 3.0, 1.9333333333333333, 5.8, 18.0, 11.75, 14.0, 8.4] \n",
            "AvgIndex 8.153703703703705 \n",
            "AvgIndex2 1.8750000000000002\n",
            "Economy rate :  9.583333333333334 \t Avgwicket/match :  6\n",
            "\n",
            "NA Saini \n",
            "Wickets :  19 \tMatches :  26 \tBalls :  587 \n",
            "MatchStats :  ['0/25-5', '0/40-5', '0/40-5', '2/34-5', '2/24-5', '0/23-5', '0/34-4', '1/31-4', '2/26-5', '2/33-4', '1/48-4', '0/12-1', '2/40-4', '2/25-5', '0/41-5', '0/43-5', '1/37-5', '0/49-4', '1/18-5', '1/17-4', '0/22-4', '0/30-4', '1/23-3', '0/19-3', '1/30-3', '0/31-4'] \n",
            "MatchIndex :  [5.0, 8.0, 8.0, 2.2666666666666666, 1.6, 4.6, 8.5, 3.875, 1.7333333333333334, 2.75, 6.0, 12.0, 3.3333333333333335, 1.6666666666666667, 8.2, 8.6, 3.7, 12.25, 1.8, 2.125, 5.5, 7.5, 3.8333333333333335, 6.333333333333333, 5.0, 7.75] \n",
            "AvgIndex 5.458333333333333 \n",
            "AvgIndex2 0.39383838383838377\n",
            "Economy rate :  7.498076923076923 \t Avgwicket/match :  20\n",
            "\n",
            "MM Ali \n",
            "Wickets :  14 \tMatches :  17 \tBalls :  264 \n",
            "MatchStats :  ['1/19-4', '0/13-1', '0/29-3', '0/14-1', '1/22-4', '1/19-5', '2/18-4', '0/20-3', '1/25-5', '4/13-3', '1/21-2', '0/19-2', '1/13-1', '1/22-3', '1/21-3', '0/17-2', '0/4-1'] \n",
            "MatchIndex :  [2.375, 13.0, 9.666666666666666, 14.0, 2.75, 1.9, 1.5, 6.666666666666667, 2.5, 0.8666666666666667, 5.25, 9.5, 6.5, 3.6666666666666665, 3.5, 8.5, 4.0] \n",
            "AvgIndex 5.655392156862745 \n",
            "AvgIndex2 0.5483263598326359\n",
            "Economy rate :  7.708823529411764 \t Avgwicket/match :  15\n",
            "\n",
            "S Dube \n",
            "Wickets :  5 \tMatches :  7 \tBalls :  66 \n",
            "MatchStats :  ['0/3-1', '0/5-1', '3/17-3', '2/33-3', '0/4-1', '0/14-2', '0/7-1'] \n",
            "MatchIndex :  [3.0, 5.0, 1.4166666666666667, 3.6666666666666665, 4.0, 7.0, 7.0] \n",
            "AvgIndex 4.440476190476191 \n",
            "AvgIndex2 1.1851851851851851\n",
            "Economy rate :  6.095238095238096 \t Avgwicket/match :  6\n",
            "\n",
            "M Prasidh Krishna \n",
            "Wickets :  20 \tMatches :  24 \tBalls :  540 \n",
            "MatchStats :  ['0/34-5', '0/42-5', '0/33-5', '0/42-4', '1/36-5', '0/23-5', '1/26-3', '0/30-5', '0/39-5', '1/41-5', '2/31-5', '2/36-4', '5/30-5', '1/28-4', '1/56-5', '0/53-4', '1/43-4', '1/22-3', '3/29-4', '1/42-4', '0/30-2', '0/20-3', '0/20-3', '0/24-3'] \n",
            "MatchIndex :  [6.8, 8.4, 6.6, 10.5, 3.6, 4.6, 4.333333333333333, 6.0, 7.8, 4.1, 2.066666666666667, 3.0, 1.0, 3.5, 5.6, 13.25, 5.375, 3.6666666666666665, 1.8125, 5.25, 15.0, 6.666666666666667, 6.666666666666667, 8.0] \n",
            "AvgIndex 5.982812499999999 \n",
            "AvgIndex2 0.41493416493416496\n",
            "Economy rate :  8.315972222222223 \t Avgwicket/match :  21\n",
            "\n",
            "Rasikh Salam \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  27 \n",
            "MatchStats :  ['0/42-5'] \n",
            "MatchIndex :  [8.4] \n",
            "AvgIndex 8.4 \n",
            "AvgIndex2 8.4\n",
            "Economy rate :  8.4 \t Avgwicket/match :  1\n",
            "\n",
            "KMA Paul \n",
            "Wickets :  10 \tMatches :  8 \tBalls :  180 \n",
            "MatchStats :  ['1/21-4', '0/20-4', '2/46-5', '3/17-5', '0/37-4', '0/15-4', '4/33-5', '0/50-4'] \n",
            "MatchIndex :  [2.625, 5.0, 3.066666666666667, 0.85, 9.25, 3.75, 1.32, 12.5] \n",
            "AvgIndex 4.795208333333333 \n",
            "AvgIndex2 0.678395061728395\n",
            "Economy rate :  6.8687499999999995 \t Avgwicket/match :  11\n",
            "\n",
            "K Gowtham \n",
            "Wickets :  14 \tMatches :  24 \tBalls :  414 \n",
            "MatchStats :  ['1/35-5', '0/25-2', '0/14-3', '0/20-4', '0/22-1', '0/39-3', '0/9-1', '1/10-1', '1/36-4', '2/23-4', '0/35-3', '0/20-3', '2/18-4', '0/27-2', '1/18-4', '2/16-4', '0/28-3', '0/23-3', '0/32-2', '1/7-2', '2/19-3', '0/16-4', '0/39-4', '1/45-4'] \n",
            "MatchIndex :  [3.5, 12.5, 4.666666666666667, 5.0, 22.0, 13.0, 9.0, 5.0, 4.5, 1.9166666666666667, 11.666666666666666, 6.666666666666667, 1.5, 13.5, 2.25, 1.3333333333333333, 9.333333333333334, 7.666666666666667, 16.0, 1.75, 2.111111111111111, 4.0, 9.75, 5.625] \n",
            "AvgIndex 7.259837962962963 \n",
            "AvgIndex2 0.6248763600395648\n",
            "Economy rate :  8.774305555555555 \t Avgwicket/match :  15\n",
            "\n",
            "JC Archer \n",
            "Wickets :  47 \tMatches :  35 \tBalls :  858 \n",
            "MatchStats :  ['0/17-4', '0/42-5', '2/17-4', '1/49-5', '0/15-3', '1/23-4', '3/40-5', '3/22-5', '3/23-4', '3/27-4', '1/31-4', '1/43-4', '1/32-4', '2/42-5', '2/17-5', '0/43-4', '0/38-5', '2/33-5', '1/22-4', '0/31-4', '1/28-5', '1/26-5', '0/46-5', '2/18-4', '1/19-4', '1/38-5', '3/24-5', '1/25-5', '3/21-5', '0/38-4', '1/20-4', '2/21-5', '2/31-5', '2/26-4', '1/20-4'] \n",
            "MatchIndex :  [4.25, 8.4, 1.4166666666666667, 4.9, 5.0, 2.875, 2.0, 1.1, 1.4375, 1.6875, 3.875, 5.375, 4.0, 2.8, 1.1333333333333333, 10.75, 7.6, 2.2, 2.75, 7.75, 2.8, 2.6, 9.2, 1.5, 2.375, 3.8, 1.2, 2.5, 1.05, 9.5, 2.5, 1.4, 2.066666666666667, 2.1666666666666665, 2.5] \n",
            "AvgIndex 3.6702380952380946 \n",
            "AvgIndex2 0.13736330498177396\n",
            "Economy rate :  6.459999999999998 \t Avgwicket/match :  48\n",
            "\n",
            "SM Curran \n",
            "Wickets :  25 \tMatches :  22 \tBalls :  472 \n",
            "MatchStats :  ['2/52-5', '4/13-3', '0/35-5', '0/30-4', '2/54-5', '0/31-3', '0/34-4', '0/41-5', '3/35-5', '1/29-4', '3/33-5', '1/28-5', '0/37-4', '0/31-3', '2/27-4', '1/48-5', '2/18-3', '1/35-5', '0/7-1', '3/19-4', '0/21-3', '0/15-2'] \n",
            "MatchIndex :  [3.466666666666667, 0.8666666666666667, 7.0, 7.5, 3.6, 10.333333333333334, 8.5, 8.2, 1.75, 3.625, 1.65, 2.8, 9.25, 10.333333333333334, 2.25, 4.8, 2.0, 3.5, 7.0, 1.1875, 7.0, 7.5] \n",
            "AvgIndex 5.186931818181818 \n",
            "AvgIndex2 0.30617059891107073\n",
            "Economy rate :  7.668181818181818 \t Avgwicket/match :  26\n",
            "\n",
            "Mujeeb Ur Rahman \n",
            "Wickets :  18 \tMatches :  18 \tBalls :  426 \n",
            "MatchStats :  ['2/31-5', '0/36-5', '1/36-5', '0/24-4', '2/28-5', '1/30-4', '0/18-3', '0/27-5', '2/32-5', '2/25-4', '1/17-5', '2/37-5', '3/28-5', '2/22-4', '0/28-3', '0/66-5', '0/39-4', '0/44-5'] \n",
            "MatchIndex :  [2.066666666666667, 7.2, 3.6, 6.0, 1.8666666666666667, 3.75, 6.0, 5.4, 2.1333333333333333, 2.0833333333333335, 1.7, 2.466666666666667, 1.4, 1.8333333333333333, 9.333333333333334, 13.2, 9.75, 8.8] \n",
            "AvgIndex 4.921296296296297 \n",
            "AvgIndex2 0.38994871794871794\n",
            "Economy rate :  7.040740740740741 \t Avgwicket/match :  19\n",
            "\n",
            "CV Varun \n",
            "Wickets :  18 \tMatches :  14 \tBalls :  331 \n",
            "MatchStats :  ['1/35-3', '1/25-4', '2/25-4', '1/49-4', '1/28-4', '0/27-4', '0/26-4', '1/23-4', '1/32-4', '0/28-4', '5/20-5', '1/34-4', '2/20-4', '2/20-4'] \n",
            "MatchIndex :  [5.833333333333333, 3.125, 2.0833333333333335, 6.125, 3.5, 6.75, 6.5, 2.875, 4.0, 7.0, 0.6666666666666666, 4.25, 1.6666666666666667, 1.6666666666666667] \n",
            "AvgIndex 4.00297619047619 \n",
            "AvgIndex2 0.394927536231884\n",
            "Economy rate :  7.136904761904761 \t Avgwicket/match :  19\n",
            "\n",
            "GC Viljoen \n",
            "Wickets :  8 \tMatches :  6 \tBalls :  146 \n",
            "MatchStats :  ['1/37-5', '2/41-4', '1/26-3', '0/34-5', '3/39-5', '1/52-5'] \n",
            "MatchIndex :  [3.7, 3.4166666666666665, 4.333333333333333, 6.8, 1.95, 5.2] \n",
            "AvgIndex 4.233333333333333 \n",
            "AvgIndex2 1.0472789115646257\n",
            "Economy rate :  8.552777777777775 \t Avgwicket/match :  9\n",
            "\n",
            "Mandeep Singh \n",
            "Wickets :  0 \tMatches :  2 \tBalls :  12 \n",
            "MatchStats :  ['0/18-1', '0/8-1'] \n",
            "MatchIndex :  [18.0, 8.0] \n",
            "AvgIndex 13.0 \n",
            "AvgIndex2 26.0\n",
            "Economy rate :  13.0 \t Avgwicket/match :  1\n",
            "\n",
            "M Markande \n",
            "Wickets :  16 \tMatches :  17 \tBalls :  305 \n",
            "MatchStats :  ['1/23-3', '0/12-2', '3/24-4', '4/25-4', '0/42-3', '1/27-5', '0/15-2', '2/15-3', '0/31-4', '1/29-3', '1/29-4', '1/25-3', '1/27-4', '0/32-3', '0/34-4', '1/21-2', '0/24-2'] \n",
            "MatchIndex :  [3.8333333333333335, 6.0, 1.5, 1.25, 14.0, 2.7, 7.5, 1.6666666666666667, 7.75, 4.833333333333333, 3.625, 4.166666666666667, 3.375, 10.666666666666666, 8.5, 5.25, 12.0] \n",
            "AvgIndex 5.800980392156863 \n",
            "AvgIndex2 0.5100122100122101\n",
            "Economy rate :  8.190196078431374 \t Avgwicket/match :  17\n",
            "\n",
            "V Shankar \n",
            "Wickets :  7 \tMatches :  14 \tBalls :  170 \n",
            "MatchStats :  ['0/13-1', '1/13-3', '0/17-2', '1/11-2', '0/12-1', '0/10-1', '1/22-3', '0/14-2', '0/16-2', '1/14-2', '0/22-4', '1/20-4', '1/15-3', '1/11-2'] \n",
            "MatchIndex :  [13.0, 2.1666666666666665, 8.5, 2.75, 12.0, 10.0, 3.6666666666666665, 7.0, 8.0, 3.5, 5.5, 2.5, 2.5, 2.75] \n",
            "AvgIndex 5.988095238095238 \n",
            "AvgIndex2 1.0471380471380471\n",
            "Economy rate :  7.404761904761904 \t Avgwicket/match :  8\n",
            "\n",
            "S Lamichhane \n",
            "Wickets :  14 \tMatches :  9 \tBalls :  211 \n",
            "MatchStats :  ['2/29-4', '2/28-4', '1/32-4', '1/46-4', '1/29-4', '1/21-4', '3/36-5', '3/40-4', '0/36-3'] \n",
            "MatchIndex :  [2.4166666666666665, 2.3333333333333335, 4.0, 5.75, 3.625, 2.625, 1.8, 2.5, 12.0] \n",
            "AvgIndex 4.116666666666666 \n",
            "AvgIndex2 0.5940944881889764\n",
            "Economy rate :  8.383333333333333 \t Avgwicket/match :  15\n",
            "\n",
            "P Ray Barman \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  24 \n",
            "MatchStats :  ['0/56-4'] \n",
            "MatchIndex :  [14.0] \n",
            "AvgIndex 14.0 \n",
            "AvgIndex2 14.0\n",
            "Economy rate :  14.0 \t Avgwicket/match :  1\n",
            "\n",
            "MJ Santner \n",
            "Wickets :  6 \tMatches :  6 \tBalls :  130 \n",
            "MatchStats :  ['0/26-3', '1/25-5', '1/30-5', '2/13-4', '1/23-4', '1/30-3'] \n",
            "MatchIndex :  [8.666666666666666, 2.5, 3.0, 1.0833333333333333, 2.875, 5.0] \n",
            "AvgIndex 3.8541666666666665 \n",
            "AvgIndex2 1.0450450450450448\n",
            "Economy rate :  6.444444444444444 \t Avgwicket/match :  7\n",
            "\n",
            "GH Vihari \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  6 \n",
            "MatchStats :  ['0/9-1'] \n",
            "MatchIndex :  [9.0] \n",
            "AvgIndex 9.0 \n",
            "AvgIndex2 9.0\n",
            "Economy rate :  9.0 \t Avgwicket/match :  1\n",
            "\n",
            "JP Behrendorff \n",
            "Wickets :  5 \tMatches :  5 \tBalls :  117 \n",
            "MatchStats :  ['2/23-5', '1/28-4', '1/35-4', '0/31-4', '1/51-5'] \n",
            "MatchIndex :  [1.5333333333333334, 3.5, 4.375, 7.75, 5.1] \n",
            "AvgIndex 4.451666666666666 \n",
            "AvgIndex2 1.473076923076923\n",
            "Economy rate :  7.659999999999999 \t Avgwicket/match :  6\n",
            "\n",
            "SC Kuggeleijn \n",
            "Wickets :  2 \tMatches :  2 \tBalls :  50 \n",
            "MatchStats :  ['2/37-5', '0/34-5'] \n",
            "MatchIndex :  [2.466666666666667, 6.8] \n",
            "AvgIndex 4.633333333333333 \n",
            "AvgIndex2 2.84\n",
            "Economy rate :  7.1 \t Avgwicket/match :  3\n",
            "\n",
            "AS Joseph \n",
            "Wickets :  6 \tMatches :  3 \tBalls :  55 \n",
            "MatchStats :  ['6/14-4', '0/22-3', '0/53-3'] \n",
            "MatchIndex :  [0.5, 7.333333333333333, 17.666666666666668] \n",
            "AvgIndex 8.5 \n",
            "AvgIndex2 1.5\n",
            "Economy rate :  9.5 \t Avgwicket/match :  7\n",
            "\n",
            "HF Gurney \n",
            "Wickets :  7 \tMatches :  8 \tBalls :  169 \n",
            "MatchStats :  ['2/25-5', '0/20-3', '1/37-4', '1/42-5', '0/16-3', '2/37-4', '1/42-4', '0/20-4'] \n",
            "MatchIndex :  [1.6666666666666667, 6.666666666666667, 4.625, 4.2, 5.333333333333333, 3.0833333333333335, 5.25, 5.0] \n",
            "AvgIndex 4.478125 \n",
            "AvgIndex2 1.0421052631578949\n",
            "Economy rate :  7.425000000000001 \t Avgwicket/match :  8\n",
            "\n",
            "S Midhun \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  13 \n",
            "MatchStats :  ['0/29-3'] \n",
            "MatchIndex :  [9.666666666666666] \n",
            "AvgIndex 9.666666666666666 \n",
            "AvgIndex2 9.666666666666666\n",
            "Economy rate :  9.666666666666666 \t Avgwicket/match :  1\n",
            "\n",
            "R Parag \n",
            "Wickets :  2 \tMatches :  9 \tBalls :  97 \n",
            "MatchStats :  ['0/24-3', '0/17-2', '1/25-3', '0/7-1', '0/24-3', '1/10-1', '0/14-1', '0/14-1', '0/13-2'] \n",
            "MatchIndex :  [8.0, 8.5, 4.166666666666667, 7.0, 8.0, 5.0, 14.0, 14.0, 6.5] \n",
            "AvgIndex 8.351851851851853 \n",
            "AvgIndex2 4.438596491228071\n",
            "Economy rate :  9.370370370370372 \t Avgwicket/match :  3\n",
            "\n",
            "LS Livingstone \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  6 \n",
            "MatchStats :  ['0/13-1'] \n",
            "MatchIndex :  [13.0] \n",
            "AvgIndex 13.0 \n",
            "AvgIndex2 13.0\n",
            "Economy rate :  13.0 \t Avgwicket/match :  1\n",
            "\n",
            "SN Khan \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  2 \n",
            "MatchStats :  ['0/6-1'] \n",
            "MatchIndex :  [6.0] \n",
            "AvgIndex 6.0 \n",
            "AvgIndex2 6.0\n",
            "Economy rate :  6.0 \t Avgwicket/match :  1\n",
            "\n",
            "KK Ahmed \n",
            "Wickets :  30 \tMatches :  17 \tBalls :  399 \n",
            "MatchStats :  ['3/31-5', '1/25-5', '0/39-4', '3/33-5', '0/27-4', '1/33-4', '3/40-5', '3/42-4', '3/37-5', '3/24-3', '1/29-3', '1/43-5', '0/34-5', '3/24-3', '2/37-4', '2/47-5', '1/31-4'] \n",
            "MatchIndex :  [1.55, 2.5, 9.75, 1.65, 6.75, 4.125, 2.0, 2.625, 1.85, 2.0, 4.833333333333333, 4.3, 6.8, 2.0, 3.0833333333333335, 3.1333333333333333, 3.875] \n",
            "AvgIndex 3.695588235294118 \n",
            "AvgIndex2 0.2659817351598173\n",
            "Economy rate :  7.995098039215685 \t Avgwicket/match :  31\n",
            "\n",
            "Abhishek Sharma \n",
            "Wickets :  3 \tMatches :  8 \tBalls :  74 \n",
            "MatchStats :  ['1/10-1', '0/11-2', '1/16-2', '0/11-1', '0/34-5', '0/4-1', '1/16-1', '0/11-1'] \n",
            "MatchIndex :  [5.0, 5.5, 4.0, 11.0, 6.8, 4.0, 8.0, 11.0] \n",
            "AvgIndex 6.9125 \n",
            "AvgIndex2 2.892\n",
            "Economy rate :  9.0375 \t Avgwicket/match :  4\n",
            "\n",
            "IS Sodhi \n",
            "Wickets :  9 \tMatches :  8 \tBalls :  182 \n",
            "MatchStats :  ['1/41-5', '1/25-3', '1/15-4', '1/30-4', '1/21-4', '1/31-4', '0/15-4', '3/26-4'] \n",
            "MatchIndex :  [4.1, 4.166666666666667, 1.875, 3.75, 2.625, 3.875, 3.75, 1.625] \n",
            "AvgIndex 3.220833333333333 \n",
            "AvgIndex2 0.6990867579908675\n",
            "Economy rate :  6.379166666666666 \t Avgwicket/match :  10\n",
            "\n",
            "Arshdeep Singh \n",
            "Wickets :  14 \tMatches :  11 \tBalls :  223 \n",
            "MatchStats :  ['2/44-5', '1/48-5', '0/25-2', '2/33-5', '2/25-5', '1/20-3', '2/36-4', '0/30-3', '4/23-4', '0/18-3', '0/34-3'] \n",
            "MatchIndex :  [2.933333333333333, 4.8, 12.5, 2.2, 1.6666666666666667, 3.3333333333333335, 3.0, 10.0, 1.15, 6.0, 11.333333333333334] \n",
            "AvgIndex 5.356060606060606 \n",
            "AvgIndex2 0.5887096774193548\n",
            "Economy rate :  8.295454545454545 \t Avgwicket/match :  15\n",
            "\n",
            "MA Wood \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  25 \n",
            "MatchStats :  ['0/50-5'] \n",
            "MatchIndex :  [10.0] \n",
            "AvgIndex 10.0 \n",
            "AvgIndex2 10.0\n",
            "Economy rate :  10.0 \t Avgwicket/match :  1\n",
            "\n",
            "K Khejroliya \n",
            "Wickets :  3 \tMatches :  5 \tBalls :  101 \n",
            "MatchStats :  ['0/36-5', '2/34-4', '0/40-4', '0/18-1', '1/29-5'] \n",
            "MatchIndex :  [7.2, 2.8333333333333335, 10.0, 18.0, 2.9] \n",
            "AvgIndex 8.186666666666666 \n",
            "AvgIndex2 3.09375\n",
            "Economy rate :  9.9 \t Avgwicket/match :  4\n",
            "\n",
            "B Laughlin \n",
            "Wickets :  9 \tMatches :  7 \tBalls :  134 \n",
            "MatchStats :  ['0/20-3', '2/21-2', '1/46-5', '0/37-4', '2/38-5', '2/15-2', '2/35-4'] \n",
            "MatchIndex :  [6.666666666666667, 3.5, 4.6, 9.25, 2.533333333333333, 2.5, 2.9166666666666665] \n",
            "AvgIndex 4.566666666666666 \n",
            "AvgIndex2 0.9291666666666667\n",
            "Economy rate :  8.495238095238095 \t Avgwicket/match :  10\n",
            "\n",
            "DJM Short \n",
            "Wickets :  1 \tMatches :  2 \tBalls :  18 \n",
            "MatchStats :  ['0/13-2', '1/10-1'] \n",
            "MatchIndex :  [6.5, 5.0] \n",
            "AvgIndex 5.75 \n",
            "AvgIndex2 5.5\n",
            "Economy rate :  8.25 \t Avgwicket/match :  2\n",
            "\n",
            "TK Curran \n",
            "Wickets :  9 \tMatches :  10 \tBalls :  180 \n",
            "MatchStats :  ['2/39-3', '1/21-2', '2/19-3', '0/6-1', '1/33-4', '1/55-5', '1/44-5', '1/37-5', '0/40-4', '0/34-4'] \n",
            "MatchIndex :  [4.333333333333333, 5.25, 2.111111111111111, 6.0, 4.125, 5.5, 4.4, 3.7, 10.0, 8.5] \n",
            "AvgIndex 5.391944444444444 \n",
            "AvgIndex2 0.9866300366300367\n",
            "Economy rate :  8.978333333333333 \t Avgwicket/match :  10\n",
            "\n",
            "A Dananjaya \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  25 \n",
            "MatchStats :  ['0/47-5'] \n",
            "MatchIndex :  [9.4] \n",
            "AvgIndex 9.4 \n",
            "AvgIndex2 9.4\n",
            "Economy rate :  9.4 \t Avgwicket/match :  1\n",
            "\n",
            "Shivam Mavi \n",
            "Wickets :  16 \tMatches :  17 \tBalls :  341 \n",
            "MatchStats :  ['0/10-1', '1/16-3', '2/40-5', '0/29-4', '2/58-5', '0/22-4', '0/21-4', '1/44-4', '1/33-5', '2/33-5', '0/15-3', '2/21-4', '0/40-3', '1/32-3', '1/24-3', '1/34-4', '2/15-5'] \n",
            "MatchIndex :  [10.0, 2.6666666666666665, 2.6666666666666665, 7.25, 3.8666666666666667, 5.5, 5.25, 5.5, 3.3, 2.2, 5.0, 1.75, 13.333333333333334, 5.333333333333333, 4.0, 4.25, 1.0] \n",
            "AvgIndex 4.874509803921568 \n",
            "AvgIndex2 0.4794261294261294\n",
            "Economy rate :  7.6990196078431365 \t Avgwicket/match :  17\n",
            "\n",
            "LE Plunkett \n",
            "Wickets :  4 \tMatches :  7 \tBalls :  154 \n",
            "MatchStats :  ['3/19-5', '0/24-4', '0/52-3', '0/37-3', '1/27-5', '0/42-4', '0/27-4'] \n",
            "MatchIndex :  [0.95, 6.0, 17.333333333333332, 12.333333333333334, 2.7, 10.5, 6.75] \n",
            "AvgIndex 8.08095238095238 \n",
            "AvgIndex2 2.1419540229885055\n",
            "Economy rate :  8.873809523809523 \t Avgwicket/match :  5\n",
            "\n",
            "MK Tiwary \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  7 \n",
            "MatchStats :  ['0/10-2'] \n",
            "MatchIndex :  [5.0] \n",
            "AvgIndex 5.0 \n",
            "AvgIndex2 5.0\n",
            "Economy rate :  5.0 \t Avgwicket/match :  1\n",
            "\n",
            "MK Lomror \n",
            "Wickets :  0 \tMatches :  2 \tBalls :  18 \n",
            "MatchStats :  ['0/8-1', '0/19-2'] \n",
            "MatchIndex :  [8.0, 9.5] \n",
            "AvgIndex 8.75 \n",
            "AvgIndex2 17.5\n",
            "Economy rate :  8.75 \t Avgwicket/match :  1\n",
            "\n",
            "L Ngidi \n",
            "Wickets :  23 \tMatches :  11 \tBalls :  267 \n",
            "MatchStats :  ['1/27-5', '1/36-4', '2/26-5', '2/16-4', '4/11-5', '1/20-4', '2/26-4', '3/38-5', '2/56-5', '2/35-5', '3/40-5'] \n",
            "MatchIndex :  [2.7, 4.5, 1.7333333333333334, 1.3333333333333333, 0.44, 2.5, 2.1666666666666665, 1.9, 3.7333333333333334, 2.3333333333333335, 2.0] \n",
            "AvgIndex 2.3036363636363637 \n",
            "AvgIndex2 0.27992125984251964\n",
            "Economy rate :  6.463636363636363 \t Avgwicket/match :  24\n",
            "\n",
            "KM Asif \n",
            "Wickets :  3 \tMatches :  2 \tBalls :  38 \n",
            "MatchStats :  ['2/43-4', '1/32-4'] \n",
            "MatchIndex :  [3.5833333333333335, 4.0] \n",
            "AvgIndex 3.791666666666667 \n",
            "AvgIndex2 2.6785714285714284\n",
            "Economy rate :  9.375 \t Avgwicket/match :  4\n",
            "\n",
            "DJ Willey \n",
            "Wickets :  2 \tMatches :  3 \tBalls :  61 \n",
            "MatchStats :  ['1/25-4', '1/47-5', '0/24-2'] \n",
            "MatchIndex :  [3.125, 4.7, 12.0] \n",
            "AvgIndex 6.608333333333333 \n",
            "AvgIndex2 3.9499999999999997\n",
            "Economy rate :  9.216666666666667 \t Avgwicket/match :  3\n",
            "\n",
            "JPR Scantlebury-Searles \n",
            "Wickets :  2 \tMatches :  3 \tBalls :  45 \n",
            "MatchStats :  ['1/52-5', '1/24-2', '0/13-1'] \n",
            "MatchIndex :  [5.2, 6.0, 13.0] \n",
            "AvgIndex 8.066666666666666 \n",
            "AvgIndex2 5.057142857142856\n",
            "Economy rate :  11.799999999999999 \t Avgwicket/match :  3\n",
            "\n",
            "CJ Dala \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  19 \n",
            "MatchStats :  ['0/34-4'] \n",
            "MatchIndex :  [8.5] \n",
            "AvgIndex 8.5 \n",
            "AvgIndex2 8.5\n",
            "Economy rate :  8.5 \t Avgwicket/match :  1\n",
            "\n",
            "SE Rutherford \n",
            "Wickets :  1 \tMatches :  6 \tBalls :  46 \n",
            "MatchStats :  ['0/5-1', '0/16-2', '1/6-1', '0/20-3', '0/2-1', '0/11-2'] \n",
            "MatchIndex :  [5.0, 8.0, 3.0, 6.666666666666667, 2.0, 5.5] \n",
            "AvgIndex 5.027777777777778 \n",
            "AvgIndex2 4.738095238095238\n",
            "Economy rate :  5.527777777777779 \t Avgwicket/match :  2\n",
            "\n",
            "Harpreet Brar \n",
            "Wickets :  0 \tMatches :  3 \tBalls :  55 \n",
            "MatchStats :  ['0/24-2', '0/24-3', '0/41-5'] \n",
            "MatchIndex :  [12.0, 8.0, 8.2] \n",
            "AvgIndex 9.4 \n",
            "AvgIndex2 28.200000000000003\n",
            "Economy rate :  9.4 \t Avgwicket/match :  1\n",
            "\n",
            "Y Prithvi Raj \n",
            "Wickets :  1 \tMatches :  2 \tBalls :  33 \n",
            "MatchStats :  ['1/29-4', '0/28-3'] \n",
            "MatchIndex :  [3.625, 9.333333333333334] \n",
            "AvgIndex 6.479166666666667 \n",
            "AvgIndex2 5.527777777777779\n",
            "Economy rate :  8.291666666666668 \t Avgwicket/match :  2\n",
            "\n",
            "O Thomas \n",
            "Wickets :  5 \tMatches :  4 \tBalls :  63 \n",
            "MatchStats :  ['1/34-5', '2/30-5', '2/8-2', '0/13-1'] \n",
            "MatchIndex :  [3.4, 2.0, 1.3333333333333333, 13.0] \n",
            "AvgIndex 4.933333333333334 \n",
            "AvgIndex2 1.4190476190476191\n",
            "Economy rate :  7.45 \t Avgwicket/match :  6\n",
            "\n",
            "AS Roy \n",
            "Wickets :  1 \tMatches :  1 \tBalls :  15 \n",
            "MatchStats :  ['1/11-3'] \n",
            "MatchIndex :  [1.8333333333333333] \n",
            "AvgIndex 1.8333333333333333 \n",
            "AvgIndex2 1.8333333333333333\n",
            "Economy rate :  3.6666666666666665 \t Avgwicket/match :  2\n",
            "\n",
            "S Sandeep Warrier \n",
            "Wickets :  2 \tMatches :  4 \tBalls :  94 \n",
            "MatchStats :  ['0/30-4', '2/31-4', '0/25-5', '0/34-4'] \n",
            "MatchIndex :  [7.5, 2.5833333333333335, 5.0, 8.5] \n",
            "AvgIndex 5.895833333333334 \n",
            "AvgIndex2 3.1944444444444446\n",
            "Economy rate :  7.1875 \t Avgwicket/match :  3\n",
            "\n",
            "JL Pattinson \n",
            "Wickets :  11 \tMatches :  10 \tBalls :  222 \n",
            "MatchStats :  ['1/27-5', '2/25-5', '0/51-4', '2/28-5', '2/29-5', '2/20-4', '0/37-4', '2/40-4', '0/35-3', '0/29-3'] \n",
            "MatchIndex :  [2.7, 1.6666666666666667, 12.75, 1.8666666666666667, 1.9333333333333333, 1.6666666666666667, 9.25, 3.3333333333333335, 11.666666666666666, 9.666666666666666] \n",
            "AvgIndex 5.65 \n",
            "AvgIndex2 0.721921921921922\n",
            "Economy rate :  8.013333333333334 \t Avgwicket/match :  12\n",
            "\n",
            "SS Cottrell \n",
            "Wickets :  6 \tMatches :  6 \tBalls :  131 \n",
            "MatchStats :  ['2/24-5', '2/17-4', '1/52-4', '1/20-5', '0/30-4', '0/34-4'] \n",
            "MatchIndex :  [1.6, 1.4166666666666667, 6.5, 2.0, 7.5, 8.5] \n",
            "AvgIndex 4.586111111111111 \n",
            "AvgIndex2 1.1364864864864863\n",
            "Economy rate :  7.008333333333333 \t Avgwicket/match :  7\n",
            "\n",
            "Ravi Bishnoi \n",
            "Wickets :  14 \tMatches :  14 \tBalls :  318 \n",
            "MatchStats :  ['1/22-5', '3/32-5', '0/34-5', '1/37-5', '0/33-5', '3/29-3', '1/25-4', '0/30-4', '1/12-2', '0/25-3', '1/13-4', '2/20-4', '1/27-5', '0/42-5'] \n",
            "MatchIndex :  [2.2, 1.6, 6.8, 3.7, 6.6, 2.4166666666666665, 3.125, 7.5, 3.0, 8.333333333333334, 1.625, 1.6666666666666667, 2.7, 8.4] \n",
            "AvgIndex 4.261904761904762 \n",
            "AvgIndex2 0.46395939086294424\n",
            "Economy rate :  6.528571428571429 \t Avgwicket/match :  15\n",
            "\n",
            "A Nortje \n",
            "Wickets :  23 \tMatches :  16 \tBalls :  376 \n",
            "MatchStats :  ['0/37-4', '2/21-5', '0/41-4', '3/38-4', '2/24-5', '1/26-5', '0/28-5', '2/34-4', '2/44-4', '2/27-4', '1/38-5', '4/34-4', '1/25-3', '1/51-4', '0/36-4', '2/25-3'] \n",
            "MatchIndex :  [9.25, 1.4, 10.25, 2.375, 1.6, 2.6, 5.6, 2.8333333333333335, 3.6666666666666665, 2.25, 3.8, 1.7, 4.166666666666667, 6.375, 9.0, 2.7777777777777777] \n",
            "AvgIndex 4.352777777777778 \n",
            "AvgIndex2 0.3511291779584462\n",
            "Economy rate :  8.097916666666666 \t Avgwicket/match :  24\n",
            "\n",
            "JR Hazlewood \n",
            "Wickets :  1 \tMatches :  3 \tBalls :  61 \n",
            "MatchStats :  ['0/32-5', '1/23-4', '0/17-2'] \n",
            "MatchIndex :  [6.4, 2.875, 8.5] \n",
            "AvgIndex 5.925 \n",
            "AvgIndex2 5.1625\n",
            "Economy rate :  6.883333333333333 \t Avgwicket/match :  2\n",
            "\n",
            "JDS Neesham \n",
            "Wickets :  2 \tMatches :  5 \tBalls :  93 \n",
            "MatchStats :  ['0/13-3', '1/40-4', '0/53-5', '1/17-2', '0/26-4'] \n",
            "MatchIndex :  [4.333333333333333, 5.0, 10.6, 4.25, 6.5] \n",
            "AvgIndex 6.136666666666666 \n",
            "AvgIndex2 3.63030303030303\n",
            "Economy rate :  7.986666666666666 \t Avgwicket/match :  3\n",
            "\n",
            "KL Nagarkoti \n",
            "Wickets :  5 \tMatches :  9 \tBalls :  160 \n",
            "MatchStats :  ['0/18-3', '2/13-2', '1/35-4', '1/21-3', '0/40-3', '0/36-4', '0/11-2', '0/34-3', '1/25-5'] \n",
            "MatchIndex :  [6.0, 2.1666666666666665, 4.375, 3.5, 13.333333333333334, 9.0, 5.5, 11.333333333333334, 2.5] \n",
            "AvgIndex 6.412037037037037 \n",
            "AvgIndex2 1.574275362318841\n",
            "Economy rate :  8.046296296296298 \t Avgwicket/match :  6\n",
            "\n",
            "I Udana \n",
            "Wickets :  8 \tMatches :  10 \tBalls :  182 \n",
            "MatchStats :  ['2/45-5', '2/41-5', '1/43-5', '1/30-4', '1/19-2', '0/15-3', '0/43-4', '0/6-1', '1/20-3', '0/24-2'] \n",
            "MatchIndex :  [3.0, 2.7333333333333334, 4.3, 3.75, 4.75, 5.0, 10.75, 6.0, 3.3333333333333335, 12.0] \n",
            "AvgIndex 5.5616666666666665 \n",
            "AvgIndex2 1.027366255144033\n",
            "Economy rate :  8.321666666666667 \t Avgwicket/match :  9\n",
            "\n",
            "Abdul Samad \n",
            "Wickets :  1 \tMatches :  3 \tBalls :  43 \n",
            "MatchStats :  ['1/41-5', '0/27-2', '0/28-1'] \n",
            "MatchIndex :  [4.1, 13.5, 28.0] \n",
            "AvgIndex 15.200000000000001 \n",
            "AvgIndex2 12.425\n",
            "Economy rate :  16.566666666666666 \t Avgwicket/match :  2\n",
            "\n",
            "Kartik Tyagi \n",
            "Wickets :  10 \tMatches :  10 \tBalls :  241 \n",
            "MatchStats :  ['1/37-5', '1/37-5', '1/29-3', '1/30-5', '1/32-5', '2/36-5', '0/42-4', '1/45-4', '0/47-5', '2/37-4'] \n",
            "MatchIndex :  [3.7, 3.7, 4.833333333333333, 3.0, 3.2, 2.4, 10.5, 5.625, 9.4, 3.0833333333333335] \n",
            "AvgIndex 4.944166666666666 \n",
            "AvgIndex2 0.8363036303630363\n",
            "Economy rate :  8.446666666666667 \t Avgwicket/match :  11\n",
            "\n",
            "TU Deshpande \n",
            "Wickets :  3 \tMatches :  5 \tBalls :  110 \n",
            "MatchStats :  ['2/37-5', '1/39-5', '0/41-3', '0/40-5', '0/36-3'] \n",
            "MatchIndex :  [2.466666666666667, 3.9, 13.666666666666666, 8.0, 12.0] \n",
            "AvgIndex 8.006666666666666 \n",
            "AvgIndex2 3.0541666666666667\n",
            "Economy rate :  9.773333333333333 \t Avgwicket/match :  4\n",
            "\n",
            "CJ Green \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  17 \n",
            "MatchStats :  ['0/24-3'] \n",
            "MatchIndex :  [8.0] \n",
            "AvgIndex 8.0 \n",
            "AvgIndex2 8.0\n",
            "Economy rate :  8.0 \t Avgwicket/match :  1\n",
            "\n",
            "Shahbaz Ahmed \n",
            "Wickets :  2 \tMatches :  2 \tBalls :  37 \n",
            "MatchStats :  ['0/18-2', '2/27-5'] \n",
            "MatchIndex :  [9.0, 1.8] \n",
            "AvgIndex 5.4 \n",
            "AvgIndex2 2.88\n",
            "Economy rate :  7.2 \t Avgwicket/match :  3\n",
            "\n",
            "DR Sams \n",
            "Wickets :  0 \tMatches :  3 \tBalls :  77 \n",
            "MatchStats :  ['0/30-5', '0/40-5', '0/44-4'] \n",
            "MatchIndex :  [6.0, 8.0, 11.0] \n",
            "AvgIndex 8.333333333333334 \n",
            "AvgIndex2 25.000000000000004\n",
            "Economy rate :  8.333333333333334 \t Avgwicket/match :  1\n",
            "\n",
            "Monu Kumar \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  16 \n",
            "MatchStats :  ['0/20-3'] \n",
            "MatchIndex :  [6.666666666666667] \n",
            "AvgIndex 6.666666666666667 \n",
            "AvgIndex2 6.666666666666667\n",
            "Economy rate :  6.666666666666667 \t Avgwicket/match :  1\n",
            "\n",
            "DA Warner \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  2 \n",
            "MatchStats :  ['0/2-1'] \n",
            "MatchIndex :  [2.0] \n",
            "AvgIndex 2.0 \n",
            "AvgIndex2 2.0\n",
            "Economy rate :  2.0 \t Avgwicket/match :  1\n",
            "\n",
            "P Dubey \n",
            "Wickets :  0 \tMatches :  3 \tBalls :  48 \n",
            "MatchStats :  ['0/29-3', '0/14-2', '0/29-3'] \n",
            "MatchIndex :  [9.666666666666666, 7.0, 9.666666666666666] \n",
            "AvgIndex 8.777777777777777 \n",
            "AvgIndex2 26.333333333333332\n",
            "Economy rate :  8.777777777777777 \t Avgwicket/match :  1\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J6jrP3aMwIAD",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        },
        "outputId": "dfabb07f-bb52-4363-b05f-f335b54e8783"
      },
      "source": [
        "bowlerdata"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>bowler</th>\n",
              "      <th>wickets</th>\n",
              "      <th>matches</th>\n",
              "      <th>balls</th>\n",
              "      <th>A1index</th>\n",
              "      <th>A2index</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>RP Singh</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>76</td>\n",
              "      <td>4.464583</td>\n",
              "      <td>3.627474</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>I Sharma</td>\n",
              "      <td>17</td>\n",
              "      <td>24</td>\n",
              "      <td>516</td>\n",
              "      <td>5.844618</td>\n",
              "      <td>4.150085</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>MR Marsh</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>59</td>\n",
              "      <td>4.641667</td>\n",
              "      <td>4.931771</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>R Bhatia</td>\n",
              "      <td>8</td>\n",
              "      <td>13</td>\n",
              "      <td>251</td>\n",
              "      <td>5.860684</td>\n",
              "      <td>3.641253</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>M Ashwin</td>\n",
              "      <td>25</td>\n",
              "      <td>31</td>\n",
              "      <td>623</td>\n",
              "      <td>5.331183</td>\n",
              "      <td>4.304889</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>207</th>\n",
              "      <td>Shahbaz Ahmed</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>37</td>\n",
              "      <td>5.400000</td>\n",
              "      <td>6.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>208</th>\n",
              "      <td>DR Sams</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>77</td>\n",
              "      <td>8.333333</td>\n",
              "      <td>0.925926</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>209</th>\n",
              "      <td>Monu Kumar</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>16</td>\n",
              "      <td>6.666667</td>\n",
              "      <td>6.666667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>210</th>\n",
              "      <td>DA Warner</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>211</th>\n",
              "      <td>P Dubey</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>48</td>\n",
              "      <td>8.777778</td>\n",
              "      <td>0.975309</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>212 rows × 6 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "            bowler wickets matches balls   A1index   A2index\n",
              "0         RP Singh       3       4    76  4.464583  3.627474\n",
              "1         I Sharma      17      24   516  5.844618  4.150085\n",
              "2         MR Marsh       4       4    59  4.641667  4.931771\n",
              "3         R Bhatia       8      13   251  5.860684  3.641253\n",
              "4         M Ashwin      25      31   623  5.331183  4.304889\n",
              "..             ...     ...     ...   ...       ...       ...\n",
              "207  Shahbaz Ahmed       2       2    37  5.400000  6.750000\n",
              "208        DR Sams       0       3    77  8.333333  0.925926\n",
              "209     Monu Kumar       0       1    16  6.666667  6.666667\n",
              "210      DA Warner       0       1     2  2.000000  2.000000\n",
              "211        P Dubey       0       3    48  8.777778  0.975309\n",
              "\n",
              "[212 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2j8M3uZ4AFUt"
      },
      "source": [
        "### Seasons fron 2019"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dP76wOXHANpb"
      },
      "source": [
        "batsman_list = list(indexdata19to20['striker'].unique())\n",
        "bowler_list = list(indexdata19to20['bowler'].unique())"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4wv_Tt5uANpi",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dfd2c7c3-b1f4-42e5-f237-e96593797e77"
      },
      "source": [
        "for batsman in batsman_list:\n",
        "  runs = indexdata19to20[indexdata19to20['striker']==batsman]['runs_off_bat'].sum()\n",
        "  matches = len(indexdata19to20[indexdata19to20['striker']==batsman]['match_id'].unique())\n",
        "  balls = len(indexdata19to20[indexdata19to20['striker']==batsman])\n",
        "  print(batsman,\"\\nRuns : \",runs,'\\tMatches : ',matches,'\\tBalls : ',balls)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "LMP Simmons \n",
            "Runs :  145 \tMatches :  8 \tBalls :  124\n",
            "RG Sharma \n",
            "Runs :  1845 \tMatches :  71 \tBalls :  1464\n",
            "HH Pandya \n",
            "Runs :  1237 \tMatches :  66 \tBalls :  829\n",
            "JC Buttler \n",
            "Runs :  1714 \tMatches :  57 \tBalls :  1184\n",
            "AT Rayudu \n",
            "Runs :  1668 \tMatches :  61 \tBalls :  1370\n",
            "KA Pollard \n",
            "Runs :  1272 \tMatches :  60 \tBalls :  883\n",
            "S Gopal \n",
            "Runs :  152 \tMatches :  17 \tBalls :  150\n",
            "Harbhajan Singh \n",
            "Runs :  138 \tMatches :  18 \tBalls :  149\n",
            "R Vinay Kumar \n",
            "Runs :  19 \tMatches :  3 \tBalls :  16\n",
            "MJ McClenaghan \n",
            "Runs :  72 \tMatches :  17 \tBalls :  67\n",
            "AM Rahane \n",
            "Runs :  1738 \tMatches :  65 \tBalls :  1438\n",
            "F du Plessis \n",
            "Runs :  1221 \tMatches :  38 \tBalls :  961\n",
            "KP Pietersen \n",
            "Runs :  73 \tMatches :  4 \tBalls :  61\n",
            "MA Agarwal \n",
            "Runs :  929 \tMatches :  41 \tBalls :  673\n",
            "Q de Kock \n",
            "Runs :  1678 \tMatches :  53 \tBalls :  1273\n",
            "SS Iyer \n",
            "Runs :  1761 \tMatches :  64 \tBalls :  1442\n",
            "KK Nair \n",
            "Runs :  960 \tMatches :  41 \tBalls :  778\n",
            "SV Samson \n",
            "Runs :  1835 \tMatches :  68 \tBalls :  1345\n",
            "P Negi \n",
            "Runs :  213 \tMatches :  22 \tBalls :  194\n",
            "CR Brathwaite \n",
            "Runs :  181 \tMatches :  14 \tBalls :  120\n",
            "CH Morris \n",
            "Runs :  461 \tMatches :  29 \tBalls :  296\n",
            "NM Coulter-Nile \n",
            "Runs :  48 \tMatches :  7 \tBalls :  42\n",
            "A Mishra \n",
            "Runs :  75 \tMatches :  13 \tBalls :  98\n",
            "Z Khan \n",
            "Runs :  10 \tMatches :  5 \tBalls :  26\n",
            "RV Uthappa \n",
            "Runs :  1611 \tMatches :  67 \tBalls :  1237\n",
            "G Gambhir \n",
            "Runs :  1084 \tMatches :  36 \tBalls :  920\n",
            "MK Pandey \n",
            "Runs :  1697 \tMatches :  62 \tBalls :  1379\n",
            "M Vijay \n",
            "Runs :  561 \tMatches :  20 \tBalls :  489\n",
            "M Vohra \n",
            "Runs :  445 \tMatches :  20 \tBalls :  356\n",
            "DA Miller \n",
            "Runs :  531 \tMatches :  30 \tBalls :  461\n",
            "GJ Maxwell \n",
            "Runs :  766 \tMatches :  46 \tBalls :  549\n",
            "WP Saha \n",
            "Runs :  926 \tMatches :  42 \tBalls :  730\n",
            "MP Stoinis \n",
            "Runs :  825 \tMatches :  42 \tBalls :  623\n",
            "AR Patel \n",
            "Runs :  645 \tMatches :  52 \tBalls :  503\n",
            "AJ Finch \n",
            "Runs :  1094 \tMatches :  46 \tBalls :  853\n",
            "BB McCullum \n",
            "Runs :  800 \tMatches :  33 \tBalls :  587\n",
            "SK Raina \n",
            "Runs :  1669 \tMatches :  61 \tBalls :  1306\n",
            "KD Karthik \n",
            "Runs :  1616 \tMatches :  70 \tBalls :  1204\n",
            "RA Jadeja \n",
            "Runs :  776 \tMatches :  53 \tBalls :  623\n",
            "Ishan Kishan \n",
            "Runs :  1211 \tMatches :  46 \tBalls :  907\n",
            "DJ Bravo \n",
            "Runs :  327 \tMatches :  32 \tBalls :  255\n",
            "CH Gayle \n",
            "Runs :  1573 \tMatches :  50 \tBalls :  1153\n",
            "V Kohli \n",
            "Runs :  2741 \tMatches :  69 \tBalls :  2029\n",
            "AB de Villiers \n",
            "Runs :  2279 \tMatches :  63 \tBalls :  1452\n",
            "SR Watson \n",
            "Runs :  1502 \tMatches :  65 \tBalls :  1158\n",
            "KM Jadhav \n",
            "Runs :  557 \tMatches :  34 \tBalls :  490\n",
            "SN Khan \n",
            "Runs :  330 \tMatches :  18 \tBalls :  249\n",
            "DA Warner \n",
            "Runs :  2729 \tMatches :  59 \tBalls :  1959\n",
            "S Dhawan \n",
            "Runs :  2616 \tMatches :  80 \tBalls :  2024\n",
            "MC Henriques \n",
            "Runs :  459 \tMatches :  26 \tBalls :  367\n",
            "NV Ojha \n",
            "Runs :  216 \tMatches :  19 \tBalls :  216\n",
            "DJ Hooda \n",
            "Runs :  474 \tMatches :  41 \tBalls :  405\n",
            "EJG Morgan \n",
            "Runs :  606 \tMatches :  24 \tBalls :  479\n",
            "A Ashish Reddy \n",
            "Runs :  47 \tMatches :  3 \tBalls :  30\n",
            "KV Sharma \n",
            "Runs :  85 \tMatches :  9 \tBalls :  76\n",
            "AD Russell \n",
            "Runs :  1131 \tMatches :  44 \tBalls :  657\n",
            "YK Pathan \n",
            "Runs :  804 \tMatches :  44 \tBalls :  637\n",
            "C Munro \n",
            "Runs :  177 \tMatches :  11 \tBalls :  144\n",
            "SA Yadav \n",
            "Runs :  1703 \tMatches :  62 \tBalls :  1295\n",
            "PA Patel \n",
            "Runs :  1098 \tMatches :  46 \tBalls :  851\n",
            "SPD Smith \n",
            "Runs :  1372 \tMatches :  46 \tBalls :  1114\n",
            "MS Dhoni \n",
            "Runs :  1645 \tMatches :  66 \tBalls :  1294\n",
            "MR Marsh \n",
            "Runs :  7 \tMatches :  2 \tBalls :  12\n",
            "R Bhatia \n",
            "Runs :  50 \tMatches :  6 \tBalls :  37\n",
            "SE Marsh \n",
            "Runs :  423 \tMatches :  14 \tBalls :  332\n",
            "MG Johnson \n",
            "Runs :  41 \tMatches :  6 \tBalls :  42\n",
            "MM Sharma \n",
            "Runs :  93 \tMatches :  17 \tBalls :  94\n",
            "P Sahu \n",
            "Runs :  19 \tMatches :  2 \tBalls :  13\n",
            "Sandeep Sharma \n",
            "Runs :  33 \tMatches :  16 \tBalls :  39\n",
            "B Kumar \n",
            "Runs :  72 \tMatches :  19 \tBalls :  71\n",
            "KH Pandya \n",
            "Runs :  1000 \tMatches :  57 \tBalls :  727\n",
            "TG Southee \n",
            "Runs :  98 \tMatches :  10 \tBalls :  78\n",
            "AD Nath \n",
            "Runs :  90 \tMatches :  10 \tBalls :  99\n",
            "JP Faulkner \n",
            "Runs :  131 \tMatches :  11 \tBalls :  120\n",
            "P Kumar \n",
            "Runs :  32 \tMatches :  8 \tBalls :  36\n",
            "DS Kulkarni \n",
            "Runs :  42 \tMatches :  10 \tBalls :  30\n",
            "NLTC Perera \n",
            "Runs :  150 \tMatches :  10 \tBalls :  97\n",
            "IK Pathan \n",
            "Runs :  13 \tMatches :  4 \tBalls :  17\n",
            "R Ashwin \n",
            "Runs :  222 \tMatches :  25 \tBalls :  176\n",
            "D Wiese \n",
            "Runs :  5 \tMatches :  1 \tBalls :  4\n",
            "JP Duminy \n",
            "Runs :  227 \tMatches :  10 \tBalls :  203\n",
            "MJ Guptill \n",
            "Runs :  270 \tMatches :  13 \tBalls :  196\n",
            "KJ Abbott \n",
            "Runs :  13 \tMatches :  3 \tBalls :  8\n",
            "Shakib Al Hasan \n",
            "Runs :  363 \tMatches :  22 \tBalls :  323\n",
            "KL Rahul \n",
            "Runs :  2319 \tMatches :  54 \tBalls :  1675\n",
            "TM Head \n",
            "Runs :  205 \tMatches :  10 \tBalls :  151\n",
            "STR Binny \n",
            "Runs :  255 \tMatches :  22 \tBalls :  199\n",
            "KW Richardson \n",
            "Runs :  1 \tMatches :  1 \tBalls :  1\n",
            "DW Steyn \n",
            "Runs :  2 \tMatches :  2 \tBalls :  4\n",
            "Ankit Sharma \n",
            "Runs :  28 \tMatches :  2 \tBalls :  19\n",
            "M Ashwin \n",
            "Runs :  8 \tMatches :  6 \tBalls :  12\n",
            "NS Naik \n",
            "Runs :  31 \tMatches :  4 \tBalls :  53\n",
            "R Dhawan \n",
            "Runs :  14 \tMatches :  2 \tBalls :  6\n",
            "AP Tare \n",
            "Runs :  26 \tMatches :  5 \tBalls :  40\n",
            "DR Smith \n",
            "Runs :  563 \tMatches :  23 \tBalls :  384\n",
            "JA Morkel \n",
            "Runs :  16 \tMatches :  1 \tBalls :  9\n",
            "R Sathish \n",
            "Runs :  24 \tMatches :  3 \tBalls :  24\n",
            "PP Chawla \n",
            "Runs :  98 \tMatches :  14 \tBalls :  106\n",
            "UT Yadav \n",
            "Runs :  47 \tMatches :  17 \tBalls :  59\n",
            "Bipul Sharma \n",
            "Runs :  82 \tMatches :  7 \tBalls :  50\n",
            "RR Pant \n",
            "Runs :  2079 \tMatches :  68 \tBalls :  1416\n",
            "CA Lynn \n",
            "Runs :  1216 \tMatches :  38 \tBalls :  876\n",
            "SS Tiwary \n",
            "Runs :  325 \tMatches :  13 \tBalls :  276\n",
            "SW Billings \n",
            "Runs :  334 \tMatches :  19 \tBalls :  256\n",
            "Mohammed Shami \n",
            "Runs :  48 \tMatches :  13 \tBalls :  39\n",
            "JO Holder \n",
            "Runs :  88 \tMatches :  8 \tBalls :  74\n",
            "SP Narine \n",
            "Runs :  852 \tMatches :  50 \tBalls :  529\n",
            "KS Williamson \n",
            "Runs :  1588 \tMatches :  50 \tBalls :  1193\n",
            "Sachin Baby \n",
            "Runs :  134 \tMatches :  9 \tBalls :  99\n",
            "Parvez Rasool \n",
            "Runs :  10 \tMatches :  1 \tBalls :  9\n",
            "Gurkeerat Singh \n",
            "Runs :  282 \tMatches :  14 \tBalls :  243\n",
            "KC Cariappa \n",
            "Runs :  24 \tMatches :  5 \tBalls :  21\n",
            "PSP Handscomb \n",
            "Runs :  6 \tMatches :  1 \tBalls :  12\n",
            "Swapnil Singh \n",
            "Runs :  12 \tMatches :  3 \tBalls :  20\n",
            "J Yadav \n",
            "Runs :  6 \tMatches :  2 \tBalls :  12\n",
            "UT Khawaja \n",
            "Runs :  127 \tMatches :  6 \tBalls :  105\n",
            "Yuvraj Singh \n",
            "Runs :  651 \tMatches :  31 \tBalls :  528\n",
            "GJ Bailey \n",
            "Runs :  84 \tMatches :  5 \tBalls :  99\n",
            "HM Amla \n",
            "Runs :  577 \tMatches :  16 \tBalls :  418\n",
            "JJ Bumrah \n",
            "Runs :  39 \tMatches :  9 \tBalls :  38\n",
            "F Behardien \n",
            "Runs :  14 \tMatches :  3 \tBalls :  13\n",
            "BB Sran \n",
            "Runs :  10 \tMatches :  7 \tBalls :  14\n",
            "A Zampa \n",
            "Runs :  5 \tMatches :  2 \tBalls :  8\n",
            "N Rana \n",
            "Runs :  1437 \tMatches :  55 \tBalls :  1093\n",
            "A Nehra \n",
            "Runs :  1 \tMatches :  1 \tBalls :  1\n",
            "UBT Chand \n",
            "Runs :  0 \tMatches :  1 \tBalls :  5\n",
            "PV Tambe \n",
            "Runs :  7 \tMatches :  1 \tBalls :  19\n",
            "S Kaushik \n",
            "Runs :  0 \tMatches :  1 \tBalls :  1\n",
            "BCJ Cutting \n",
            "Runs :  230 \tMatches :  16 \tBalls :  140\n",
            "S Nadeem \n",
            "Runs :  16 \tMatches :  7 \tBalls :  30\n",
            "Imran Tahir \n",
            "Runs :  20 \tMatches :  4 \tBalls :  21\n",
            "M Morkel \n",
            "Runs :  1 \tMatches :  1 \tBalls :  1\n",
            "ER Dwivedi \n",
            "Runs :  24 \tMatches :  2 \tBalls :  15\n",
            "SB Jakati \n",
            "Runs :  1 \tMatches :  1 \tBalls :  2\n",
            "Iqbal Abdulla \n",
            "Runs :  42 \tMatches :  3 \tBalls :  34\n",
            "CJ Jordan \n",
            "Runs :  32 \tMatches :  6 \tBalls :  38\n",
            "Mandeep Singh \n",
            "Runs :  735 \tMatches :  42 \tBalls :  604\n",
            "S Aravind \n",
            "Runs :  32 \tMatches :  6 \tBalls :  40\n",
            "YS Chahal \n",
            "Runs :  20 \tMatches :  12 \tBalls :  51\n",
            "TS Mills \n",
            "Runs :  8 \tMatches :  3 \tBalls :  11\n",
            "A Choudhary \n",
            "Runs :  25 \tMatches :  3 \tBalls :  20\n",
            "BA Stokes \n",
            "Runs :  920 \tMatches :  40 \tBalls :  700\n",
            "JJ Roy \n",
            "Runs :  179 \tMatches :  8 \tBalls :  139\n",
            "Vishnu Vinod \n",
            "Runs :  19 \tMatches :  3 \tBalls :  26\n",
            "PJ Cummins \n",
            "Runs :  223 \tMatches :  18 \tBalls :  174\n",
            "MK Tiwary \n",
            "Runs :  371 \tMatches :  17 \tBalls :  287\n",
            "DT Christian \n",
            "Runs :  105 \tMatches :  12 \tBalls :  85\n",
            "Basil Thampi \n",
            "Runs :  32 \tMatches :  7 \tBalls :  37\n",
            "CR Woakes \n",
            "Runs :  63 \tMatches :  11 \tBalls :  66\n",
            "CJ Anderson \n",
            "Runs :  159 \tMatches :  14 \tBalls :  152\n",
            "RA Tripathi \n",
            "Runs :  988 \tMatches :  44 \tBalls :  756\n",
            "DL Chahar \n",
            "Runs :  78 \tMatches :  10 \tBalls :  58\n",
            "AB Dinda \n",
            "Runs :  7 \tMatches :  1 \tBalls :  8\n",
            "V Shankar \n",
            "Runs :  654 \tMatches :  32 \tBalls :  528\n",
            "Rashid Khan \n",
            "Runs :  139 \tMatches :  23 \tBalls :  99\n",
            "VR Aaron \n",
            "Runs :  8 \tMatches :  5 \tBalls :  28\n",
            "SN Thakur \n",
            "Runs :  41 \tMatches :  8 \tBalls :  36\n",
            "RD Chahar \n",
            "Runs :  17 \tMatches :  6 \tBalls :  17\n",
            "LH Ferguson \n",
            "Runs :  44 \tMatches :  3 \tBalls :  30\n",
            "C de Grandhomme \n",
            "Runs :  303 \tMatches :  21 \tBalls :  229\n",
            "JD Unadkat \n",
            "Runs :  61 \tMatches :  9 \tBalls :  59\n",
            "AF Milne \n",
            "Runs :  7 \tMatches :  3 \tBalls :  12\n",
            "S Badree \n",
            "Runs :  13 \tMatches :  5 \tBalls :  25\n",
            "AD Mathews \n",
            "Runs :  32 \tMatches :  2 \tBalls :  28\n",
            "Mohammad Nabi \n",
            "Runs :  146 \tMatches :  11 \tBalls :  102\n",
            "I Sharma \n",
            "Runs :  18 \tMatches :  4 \tBalls :  16\n",
            "AJ Tye \n",
            "Runs :  91 \tMatches :  13 \tBalls :  79\n",
            "K Rabada \n",
            "Runs :  125 \tMatches :  13 \tBalls :  135\n",
            "Kuldeep Yadav \n",
            "Runs :  57 \tMatches :  10 \tBalls :  76\n",
            "Washington Sundar \n",
            "Runs :  186 \tMatches :  21 \tBalls :  154\n",
            "DM Bravo \n",
            "Runs :  6 \tMatches :  1 \tBalls :  5\n",
            "AR Bawne \n",
            "Runs :  12 \tMatches :  1 \tBalls :  12\n",
            "SP Jackson \n",
            "Runs :  38 \tMatches :  3 \tBalls :  31\n",
            "Anureet Singh \n",
            "Runs :  18 \tMatches :  2 \tBalls :  16\n",
            "Ankit Soni \n",
            "Runs :  7 \tMatches :  3 \tBalls :  9\n",
            "SL Malinga \n",
            "Runs :  7 \tMatches :  2 \tBalls :  3\n",
            "PJ Sangwan \n",
            "Runs :  2 \tMatches :  4 \tBalls :  9\n",
            "S Kaul \n",
            "Runs :  3 \tMatches :  5 \tBalls :  17\n",
            "MN Samuels \n",
            "Runs :  29 \tMatches :  4 \tBalls :  32\n",
            "R Tewatia \n",
            "Runs :  350 \tMatches :  22 \tBalls :  267\n",
            "MM Patel \n",
            "Runs :  0 \tMatches :  1 \tBalls :  1\n",
            "TA Boult \n",
            "Runs :  12 \tMatches :  5 \tBalls :  15\n",
            "IR Jaggi \n",
            "Runs :  33 \tMatches :  2 \tBalls :  40\n",
            "AS Rajpoot \n",
            "Runs :  24 \tMatches :  6 \tBalls :  35\n",
            "MM Ali \n",
            "Runs :  309 \tMatches :  17 \tBalls :  199\n",
            "SO Hetmyer \n",
            "Runs :  275 \tMatches :  16 \tBalls :  203\n",
            "S Dube \n",
            "Runs :  169 \tMatches :  13 \tBalls :  142\n",
            "NA Saini \n",
            "Runs :  29 \tMatches :  5 \tBalls :  31\n",
            "Mohammed Siraj \n",
            "Runs :  46 \tMatches :  9 \tBalls :  52\n",
            "JM Bairstow \n",
            "Runs :  790 \tMatches :  21 \tBalls :  576\n",
            "Shubman Gill \n",
            "Runs :  939 \tMatches :  37 \tBalls :  766\n",
            "PP Shaw \n",
            "Runs :  826 \tMatches :  38 \tBalls :  605\n",
            "CA Ingram \n",
            "Runs :  184 \tMatches :  12 \tBalls :  157\n",
            "KMA Paul \n",
            "Runs :  18 \tMatches :  5 \tBalls :  26\n",
            "Rasikh Salam \n",
            "Runs :  5 \tMatches :  1 \tBalls :  4\n",
            "N Pooran \n",
            "Runs :  521 \tMatches :  20 \tBalls :  323\n",
            "K Gowtham \n",
            "Runs :  186 \tMatches :  19 \tBalls :  113\n",
            "JC Archer \n",
            "Runs :  195 \tMatches :  21 \tBalls :  128\n",
            "M Markande \n",
            "Runs :  27 \tMatches :  7 \tBalls :  30\n",
            "GH Vihari \n",
            "Runs :  4 \tMatches :  2 \tBalls :  8\n",
            "P Ray Barman \n",
            "Runs :  19 \tMatches :  1 \tBalls :  25\n",
            "SM Curran \n",
            "Runs :  281 \tMatches :  19 \tBalls :  200\n",
            "GC Viljoen \n",
            "Runs :  3 \tMatches :  3 \tBalls :  7\n",
            "HV Patel \n",
            "Runs :  81 \tMatches :  5 \tBalls :  61\n",
            "Avesh Khan \n",
            "Runs :  4 \tMatches :  1 \tBalls :  3\n",
            "S Lamichhane \n",
            "Runs :  0 \tMatches :  1 \tBalls :  1\n",
            "M Prasidh Krishna \n",
            "Runs :  3 \tMatches :  4 \tBalls :  11\n",
            "HF Gurney \n",
            "Runs :  1 \tMatches :  1 \tBalls :  5\n",
            "SD Lad \n",
            "Runs :  15 \tMatches :  1 \tBalls :  13\n",
            "AS Joseph \n",
            "Runs :  15 \tMatches :  1 \tBalls :  13\n",
            "R Parag \n",
            "Runs :  246 \tMatches :  13 \tBalls :  214\n",
            "MJ Santner \n",
            "Runs :  32 \tMatches :  2 \tBalls :  25\n",
            "JL Denly \n",
            "Runs :  0 \tMatches :  1 \tBalls :  1\n",
            "LS Livingstone \n",
            "Runs :  70 \tMatches :  4 \tBalls :  48\n",
            "RK Bhui \n",
            "Runs :  7 \tMatches :  2 \tBalls :  18\n",
            "Abhishek Sharma \n",
            "Runs :  143 \tMatches :  13 \tBalls :  104\n",
            "KK Ahmed \n",
            "Runs :  0 \tMatches :  2 \tBalls :  3\n",
            "Mujeeb Ur Rahman \n",
            "Runs :  11 \tMatches :  5 \tBalls :  14\n",
            "AJ Turner \n",
            "Runs :  3 \tMatches :  4 \tBalls :  11\n",
            "E Lewis \n",
            "Runs :  430 \tMatches :  16 \tBalls :  343\n",
            "MA Wood \n",
            "Runs :  1 \tMatches :  1 \tBalls :  5\n",
            "RK Singh \n",
            "Runs :  77 \tMatches :  8 \tBalls :  79\n",
            "DJM Short \n",
            "Runs :  115 \tMatches :  7 \tBalls :  102\n",
            "B Laughlin \n",
            "Runs :  1 \tMatches :  2 \tBalls :  4\n",
            "TK Curran \n",
            "Runs :  106 \tMatches :  8 \tBalls :  91\n",
            "B Stanlake \n",
            "Runs :  5 \tMatches :  1 \tBalls :  2\n",
            "A Dananjaya \n",
            "Runs :  4 \tMatches :  1 \tBalls :  5\n",
            "Shivam Mavi \n",
            "Runs :  23 \tMatches :  6 \tBalls :  29\n",
            "H Klaasen \n",
            "Runs :  66 \tMatches :  6 \tBalls :  58\n",
            "LE Plunkett \n",
            "Runs :  1 \tMatches :  2 \tBalls :  3\n",
            "Mustafizur Rahman \n",
            "Runs :  1 \tMatches :  1 \tBalls :  3\n",
            "AD Hales \n",
            "Runs :  148 \tMatches :  6 \tBalls :  119\n",
            "MK Lomror \n",
            "Runs :  87 \tMatches :  6 \tBalls :  78\n",
            "DR Shorey \n",
            "Runs :  13 \tMatches :  2 \tBalls :  20\n",
            "P Chopra \n",
            "Runs :  8 \tMatches :  1 \tBalls :  6\n",
            "JPR Scantlebury-Searles \n",
            "Runs :  8 \tMatches :  2 \tBalls :  6\n",
            "IS Sodhi \n",
            "Runs :  7 \tMatches :  2 \tBalls :  18\n",
            "SP Goswami \n",
            "Runs :  52 \tMatches :  5 \tBalls :  47\n",
            "Harpreet Brar \n",
            "Runs :  20 \tMatches :  1 \tBalls :  14\n",
            "SE Rutherford \n",
            "Runs :  73 \tMatches :  7 \tBalls :  55\n",
            "Y Prithvi Raj \n",
            "Runs :  0 \tMatches :  1 \tBalls :  1\n",
            "P Simran Singh \n",
            "Runs :  31 \tMatches :  3 \tBalls :  33\n",
            "J Suchith \n",
            "Runs :  6 \tMatches :  1 \tBalls :  15\n",
            "JL Pattinson \n",
            "Runs :  15 \tMatches :  2 \tBalls :  13\n",
            "A Nortje \n",
            "Runs :  7 \tMatches :  3 \tBalls :  6\n",
            "D Padikkal \n",
            "Runs :  473 \tMatches :  15 \tBalls :  398\n",
            "JR Philippe \n",
            "Runs :  78 \tMatches :  5 \tBalls :  80\n",
            "PK Garg \n",
            "Runs :  133 \tMatches :  10 \tBalls :  116\n",
            "T Natarajan \n",
            "Runs :  3 \tMatches :  2 \tBalls :  5\n",
            "YBK Jaiswal \n",
            "Runs :  40 \tMatches :  3 \tBalls :  44\n",
            "RD Gaikwad \n",
            "Runs :  204 \tMatches :  6 \tBalls :  173\n",
            "KL Nagarkoti \n",
            "Runs :  22 \tMatches :  6 \tBalls :  32\n",
            "Abdul Samad \n",
            "Runs :  111 \tMatches :  7 \tBalls :  66\n",
            "JDS Neesham \n",
            "Runs :  19 \tMatches :  3 \tBalls :  18\n",
            "Ravi Bishnoi \n",
            "Runs :  7 \tMatches :  2 \tBalls :  12\n",
            "I Udana \n",
            "Runs :  15 \tMatches :  4 \tBalls :  11\n",
            "CV Varun \n",
            "Runs :  10 \tMatches :  3 \tBalls :  16\n",
            "SS Cottrell \n",
            "Runs :  0 \tMatches :  1 \tBalls :  2\n",
            "Arshdeep Singh \n",
            "Runs :  0 \tMatches :  1 \tBalls :  3\n",
            "Kartik Tyagi \n",
            "Runs :  4 \tMatches :  2 \tBalls :  6\n",
            "N Jagadeesan \n",
            "Runs :  33 \tMatches :  2 \tBalls :  31\n",
            "AT Carey \n",
            "Runs :  32 \tMatches :  3 \tBalls :  29\n",
            "T Banton \n",
            "Runs :  18 \tMatches :  2 \tBalls :  22\n",
            "TU Deshpande \n",
            "Runs :  21 \tMatches :  2 \tBalls :  12\n",
            "Shahbaz Ahmed \n",
            "Runs :  1 \tMatches :  1 \tBalls :  1\n",
            "P Dubey \n",
            "Runs :  7 \tMatches :  1 \tBalls :  13\n",
            "DR Sams \n",
            "Runs :  0 \tMatches :  1 \tBalls :  2\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LAtRzQdRANpj",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3435fdb7-6c9a-4f58-d10d-a5798ae9162e"
      },
      "source": [
        "import math\n",
        "for bowler in bowler_list:\n",
        "  wickets = len(indexdata19to20[(indexdata19to20['bowler']==bowler) & (indexdata19to20['player_dismissed']!='notout')])\n",
        "  matches = len(indexdata19to20[indexdata19to20['bowler']==bowler]['match_id'].unique())\n",
        "  bowler_matches = list(indexdata19to20[indexdata19to20['bowler']==bowler]['match_id'].unique())\n",
        "  match_stats = list()\n",
        "  match_index = list()\n",
        "  match_index2 = list()\n",
        "  for bowlmatch in bowler_matches:\n",
        "    match_wickets = len(indexdata19to20[(indexdata19to20['bowler']==bowler) & (indexdata19to20['match_id']==bowlmatch) & (indexdata19to20['player_dismissed']!='notout')])\n",
        "    match_runs = indexdata19to20[(indexdata19to20['bowler']==bowler) & (indexdata19to20['match_id']==bowlmatch)]['runs_off_bat'].sum() + indexdata19to20[(indexdata19to20['bowler']==bowler) & (indexdata19to20['match_id']==bowlmatch)]['extras'].sum()\n",
        "    balls = len(indexdata19to20[(indexdata19to20['bowler']==bowler) & (indexdata19to20['match_id']==bowlmatch)])\n",
        "    data = str(match_wickets)+'/'+str(match_runs)+'-'+str(math.ceil(balls/6))\n",
        "    match_stats.append(data)\n",
        "    match_index.append(match_runs/((math.ceil(balls/6))*(match_wickets+1)))\n",
        "    match_index2.append(match_runs/math.ceil(balls/6))\n",
        "  balls = len(indexdata19to20[indexdata19to20['bowler']==bowler])\n",
        "  print(bowler,\"\\nWickets : \",wickets,'\\tMatches : ',matches,'\\tBalls : ',balls,'\\nMatchStats : ',match_stats ,'\\nMatchIndex : ',match_index,'\\nAvgIndex',sum(match_index)/len(match_index),'\\nAvgIndex2', (sum(match_index)/len(match_index) )/(len(match_index2) / (wickets+1/matches)))\n",
        "  print()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "RP Singh \n",
            "Wickets :  3 \tMatches :  4 \tBalls :  76 \n",
            "MatchStats :  ['1/30-4', '0/22-3', '1/39-5', '1/23-4'] \n",
            "MatchIndex :  [3.75, 7.333333333333333, 3.9, 2.875] \n",
            "AvgIndex 4.464583333333334 \n",
            "AvgIndex2 3.6274739583333333\n",
            "\n",
            "I Sharma \n",
            "Wickets :  17 \tMatches :  24 \tBalls :  516 \n",
            "MatchStats :  ['2/37-5', '1/41-4', '0/26-3', '0/47-5', '0/21-3', '0/25-5', '0/60-4', '0/42-4', '0/30-4', '0/12-1', '3/35-4', '1/32-3', '1/5-2', '0/32-5', '1/22-5', '0/19-4', '0/18-3', '0/29-5', '1/30-4', '1/41-4', '3/38-5', '2/35-4', '1/28-4', '0/26-4'] \n",
            "MatchIndex :  [2.466666666666667, 5.125, 8.666666666666666, 9.4, 7.0, 5.0, 15.0, 10.5, 7.5, 12.0, 2.1875, 5.333333333333333, 1.25, 6.4, 2.2, 4.75, 6.0, 5.8, 3.75, 5.125, 1.9, 2.9166666666666665, 3.5, 6.5] \n",
            "AvgIndex 5.844618055555556 \n",
            "AvgIndex2 4.150084695698303\n",
            "\n",
            "MR Marsh \n",
            "Wickets :  4 \tMatches :  4 \tBalls :  59 \n",
            "MatchStats :  ['2/21-5', '0/10-1', '2/14-4', '0/6-1'] \n",
            "MatchIndex :  [1.4, 10.0, 1.1666666666666667, 6.0] \n",
            "AvgIndex 4.641666666666667 \n",
            "AvgIndex2 4.931770833333333\n",
            "\n",
            "R Bhatia \n",
            "Wickets :  8 \tMatches :  13 \tBalls :  251 \n",
            "MatchStats :  ['1/10-4', '0/31-4', '0/22-3', '2/19-4', '0/24-4', '1/26-3', '0/21-3', '2/22-5', '0/47-4', '0/27-3', '2/14-3', '0/20-3', '0/21-2'] \n",
            "MatchIndex :  [1.25, 7.75, 7.333333333333333, 1.5833333333333333, 6.0, 4.333333333333333, 7.0, 1.4666666666666666, 11.75, 9.0, 1.5555555555555556, 6.666666666666667, 10.5] \n",
            "AvgIndex 5.860683760683761 \n",
            "AvgIndex2 3.641253224093461\n",
            "\n",
            "M Ashwin \n",
            "Wickets :  25 \tMatches :  31 \tBalls :  623 \n",
            "MatchStats :  ['1/16-4', '2/34-5', '3/36-4', '0/29-2', '1/32-5', '0/6-1', '0/22-3', '0/25-3', '0/32-3', '0/13-2', '2/26-4', '0/19-2', '0/23-5', '0/24-4', '1/24-5', '2/37-5', '1/17-4', '0/21-4', '1/31-4', '1/32-5', '0/24-2', '0/33-3', '3/22-4', '1/16-2', '2/23-4', '0/32-3', '1/33-5', '1/27-4', '1/27-4', '1/43-4', '0/17-4'] \n",
            "MatchIndex :  [2.0, 2.2666666666666666, 2.25, 14.5, 3.2, 6.0, 7.333333333333333, 8.333333333333334, 10.666666666666666, 6.5, 2.1666666666666665, 9.5, 4.6, 6.0, 2.4, 2.466666666666667, 2.125, 5.25, 3.875, 3.2, 12.0, 11.0, 1.375, 4.0, 1.9166666666666667, 10.666666666666666, 3.3, 3.375, 3.375, 5.375, 4.25] \n",
            "AvgIndex 5.331182795698925 \n",
            "AvgIndex2 4.304888501001421\n",
            "\n",
            "R Ashwin \n",
            "Wickets :  54 \tMatches :  57 \tBalls :  1246 \n",
            "MatchStats :  ['1/7-1', '0/26-5', '0/27-4', '0/22-4', '0/21-3', '1/15-4', '0/37-5', '1/21-3', '1/34-5', '0/7-1', '1/16-5', '2/31-3', '0/23-5', '4/34-4', '2/20-4', '0/47-5', '0/26-5', '2/31-5', '3/23-5', '2/30-4', '1/37-4', '1/30-5', '2/24-5', '1/23-5', '2/30-4', '1/33-5', '0/53-5', '1/33-5', '1/19-4', '0/34-4', '0/23-4', '1/30-4', '0/34-4', '0/36-3', '0/9-1', '2/18-3', '2/36-5', '0/26-4', '1/15-4', '2/30-5', '1/38-5', '0/23-4', '2/2-1', '0/26-3', '1/26-5', '2/22-5', '1/35-4', '1/17-4', '0/30-3', '2/28-5', '0/45-3', '1/35-3', '1/18-4', '0/18-4', '3/29-4', '0/34-4', '1/28-4'] \n",
            "MatchIndex :  [3.5, 5.2, 6.75, 5.5, 7.0, 1.875, 7.4, 3.5, 3.4, 7.0, 1.6, 3.4444444444444446, 4.6, 1.7, 1.6666666666666667, 9.4, 5.2, 2.066666666666667, 1.15, 2.5, 4.625, 3.0, 1.6, 2.3, 2.5, 3.3, 10.6, 3.3, 2.375, 8.5, 5.75, 3.75, 8.5, 12.0, 9.0, 2.0, 2.4, 6.5, 1.875, 2.0, 3.8, 5.75, 0.6666666666666666, 8.666666666666666, 2.6, 1.4666666666666666, 4.375, 2.125, 10.0, 1.8666666666666667, 15.0, 5.833333333333333, 2.25, 4.5, 1.8125, 8.5, 3.5] \n",
            "AvgIndex 4.61474171539961 \n",
            "AvgIndex2 4.373280930044753\n",
            "\n",
            "MJ McClenaghan \n",
            "Wickets :  57 \tMatches :  44 \tBalls :  1041 \n",
            "MatchStats :  ['0/27-3', '2/25-5', '4/26-4', '0/33-4', '1/48-4', '2/32-5', '2/32-5', '1/33-4', '1/27-5', '1/39-5', '1/37-5', '2/24-4', '1/27-4', '0/39-4', '1/36-4', '1/52-5', '1/42-4', '2/20-5', '2/24-5', '2/47-5', '3/25-5', '0/37-5', '0/50-5', '4/34-4', '1/18-2', '1/26-5', '1/54-5', '1/47-5', '3/40-4', '0/24-2', '0/35-5', '1/44-5', '2/24-3', '1/32-4', '3/26-4', '2/26-4', '2/35-5', '1/31-5', '1/30-4', '1/24-3', '0/29-5', '2/39-5', '0/20-5', '0/24-5'] \n",
            "MatchIndex :  [9.0, 1.6666666666666667, 1.3, 8.25, 6.0, 2.1333333333333333, 2.1333333333333333, 4.125, 2.7, 3.9, 3.7, 2.0, 3.375, 9.75, 4.5, 5.2, 5.25, 1.3333333333333333, 1.6, 3.1333333333333333, 1.25, 7.4, 10.0, 1.7, 4.5, 2.6, 5.4, 4.7, 2.5, 12.0, 7.0, 4.4, 2.6666666666666665, 4.0, 1.625, 2.1666666666666665, 2.3333333333333335, 3.1, 3.75, 4.0, 5.8, 2.6, 4.0, 4.8] \n",
            "AvgIndex 4.212310606060607 \n",
            "AvgIndex2 5.459032701759329\n",
            "\n",
            "JJ Bumrah \n",
            "Wickets :  107 \tMatches :  75 \tBalls :  1770 \n",
            "MatchStats :  ['0/30-4', '1/32-4', '2/32-5', '0/19-4', '4/31-4', '0/42-5', '3/27-4', '0/35-4', '3/30-4', '0/35-4', '1/30-4', '0/14-3', '3/14-4', '1/42-5', '0/29-4', '1/39-5', '3/24-4', '1/40-5', '0/46-5', '1/31-5', '2/21-5', '2/30-4', '3/32-5', '1/34-4', '1/6-1', '1/24-4', '1/25-4', '1/34-4', '3/7-3', '2/27-4', '1/41-4', '4/21-5', '0/23-4', '0/28-5', '1/16-3', '1/39-5', '2/24-4', '0/24-4', '1/37-5', '2/32-4', '0/27-4', '2/29-5', '2/28-5', '1/25-4', '0/26-5', '1/22-4', '1/20-4', '1/42-4', '1/17-3', '1/34-4', '3/15-5', '1/29-5', '3/19-4', '1/22-4', '2/11-4', '0/45-5', '2/31-4', '2/31-5', '0/31-5', '2/19-4', '1/43-5', '2/34-5', '0/48-5', '2/19-4', '2/44-5', '4/20-4', '0/26-4', '1/22-5', '3/24-5', '2/26-4', '0/40-5', '3/14-5', '4/17-5', '4/14-5', '0/29-4'] \n",
            "MatchIndex :  [7.5, 4.0, 2.1333333333333333, 4.75, 1.55, 8.4, 1.6875, 8.75, 1.875, 8.75, 3.75, 4.666666666666667, 0.875, 4.2, 7.25, 3.9, 1.5, 4.0, 9.2, 3.1, 1.4, 2.5, 1.6, 4.25, 3.0, 3.0, 3.125, 4.25, 0.5833333333333334, 2.25, 5.125, 0.84, 5.75, 5.6, 2.6666666666666665, 3.9, 2.0, 6.0, 3.7, 2.6666666666666665, 6.75, 1.9333333333333333, 1.8666666666666667, 3.125, 5.2, 2.75, 2.5, 5.25, 2.8333333333333335, 4.25, 0.75, 2.9, 1.1875, 2.75, 0.9166666666666666, 9.0, 2.5833333333333335, 2.066666666666667, 6.2, 1.5833333333333333, 4.3, 2.2666666666666666, 9.6, 1.5833333333333333, 2.933333333333333, 1.0, 6.5, 2.2, 1.2, 2.1666666666666665, 8.0, 0.7, 0.68, 0.56, 7.25] \n",
            "AvgIndex 3.6450666666666667 \n",
            "AvgIndex2 5.200943122962963\n",
            "\n",
            "R Vinay Kumar \n",
            "Wickets :  8 \tMatches :  6 \tBalls :  102 \n",
            "MatchStats :  ['0/14-3', '2/33-4', '2/18-3', '2/31-4', '2/30-2', '0/35-3'] \n",
            "MatchIndex :  [4.666666666666667, 2.75, 2.0, 2.5833333333333335, 5.0, 11.666666666666666] \n",
            "AvgIndex 4.777777777777778 \n",
            "AvgIndex2 6.503086419753086\n",
            "\n",
            "S Gopal \n",
            "Wickets :  42 \tMatches :  39 \tBalls :  800 \n",
            "MatchStats :  ['0/19-3', '0/5-1', '3/27-4', '0/23-3', '3/12-4', '2/36-4', '0/31-4', '0/21-4', '0/32-4', '0/18-3', '2/24-4', '1/24-3', '3/20-5', '0/30-3', '1/26-2', '0/26-3', '0/21-2', '4/16-4', '1/34-4', '2/21-4', '2/47-5', '1/32-3', '2/30-4', '3/12-1', '2/21-4', '1/38-4', '0/44-5', '0/43-4', '1/27-4', '2/29-4', '0/23-2', '0/31-4', '1/31-5', '1/33-5', '1/14-4', '0/32-4', '2/30-4', '0/10-1', '1/44-4'] \n",
            "MatchIndex :  [6.333333333333333, 5.0, 1.6875, 7.666666666666667, 0.75, 3.0, 7.75, 5.25, 8.0, 6.0, 2.0, 4.0, 1.0, 10.0, 6.5, 8.666666666666666, 10.5, 0.8, 4.25, 1.75, 3.1333333333333333, 5.333333333333333, 2.5, 3.0, 1.75, 4.75, 8.8, 10.75, 3.375, 2.4166666666666665, 11.5, 7.75, 3.1, 3.3, 1.75, 8.0, 2.5, 10.0, 5.5] \n",
            "AvgIndex 5.131089743589744 \n",
            "AvgIndex2 5.529162452165411\n",
            "\n",
            "Harbhajan Singh \n",
            "Wickets :  42 \tMatches :  48 \tBalls :  1009 \n",
            "MatchStats :  ['1/24-3', '1/33-4', '0/20-2', '0/39-5', '0/20-3', '1/25-3', '0/31-4', '1/32-4', '1/25-5', '2/29-5', '0/19-3', '0/35-4', '1/34-4', '1/36-4', '0/27-4', '2/24-4', '0/25-4', '1/22-4', '0/12-2', '0/26-4', '1/20-4', '1/23-5', '3/22-4', '0/23-4', '0/45-3', '4/22-4', '0/30-5', '2/17-4', '3/15-4', '0/14-2', '1/11-2', '1/41-4', '0/24-2', '1/20-4', '0/26-5', '1/20-3', '2/22-4', '1/29-2', '0/26-3', '0/24-2', '0/13-1', '2/39-4', '0/23-4', '1/28-4', '3/58-5', '1/25-5', '2/31-4', '0/27-5'] \n",
            "MatchIndex :  [4.0, 4.125, 10.0, 7.8, 6.666666666666667, 4.166666666666667, 7.75, 4.0, 2.5, 1.9333333333333333, 6.333333333333333, 8.75, 4.25, 4.5, 6.75, 2.0, 6.25, 2.75, 6.0, 6.5, 2.5, 2.3, 1.375, 5.75, 15.0, 1.1, 6.0, 1.4166666666666667, 0.9375, 7.0, 2.75, 5.125, 12.0, 2.5, 5.2, 3.3333333333333335, 1.8333333333333333, 7.25, 8.666666666666666, 12.0, 13.0, 3.25, 5.75, 3.5, 2.9, 2.5, 2.5833333333333335, 5.4] \n",
            "AvgIndex 5.207204861111111 \n",
            "AvgIndex2 4.558564325026524\n",
            "\n",
            "HH Pandya \n",
            "Wickets :  44 \tMatches :  52 \tBalls :  807 \n",
            "MatchStats :  ['0/12-1', '1/22-3', '0/17-3', '0/29-3', '0/19-2', '1/7-1', '1/15-2', '0/14-3', '0/10-1', '0/10-2', '1/37-4', '1/24-4', '1/9-2', '0/15-1', '0/19-2', '1/25-4', '0/5-1', '0/2-1', '0/13-1', '0/29-3', '2/22-4', '0/15-1', '0/4-1', '1/42-5', '0/38-3', '0/39-4', '3/24-5', '0/7-1', '2/57-5', '0/11-2', '1/22-3', '3/24-5', '0/32-2', '0/4-1', '2/25-3', '2/20-4', '1/40-4', '3/28-4', '1/48-5', '2/19-5', '3/16-3', '2/52-4', '0/43-5', '0/40-5', '1/17-2', '1/31-4', '1/22-3', '1/31-4', '2/20-2', '2/20-3', '0/13-2', '1/3-2'] \n",
            "MatchIndex :  [12.0, 3.6666666666666665, 5.666666666666667, 9.666666666666666, 9.5, 3.5, 3.75, 4.666666666666667, 10.0, 5.0, 4.625, 3.0, 2.25, 15.0, 9.5, 3.125, 5.0, 2.0, 13.0, 9.666666666666666, 1.8333333333333333, 15.0, 4.0, 4.2, 12.666666666666666, 9.75, 1.2, 7.0, 3.8, 5.5, 3.6666666666666665, 1.2, 16.0, 4.0, 2.7777777777777777, 1.6666666666666667, 5.0, 1.75, 4.8, 1.2666666666666666, 1.3333333333333333, 4.333333333333333, 8.6, 8.0, 4.25, 3.875, 3.6666666666666665, 3.875, 3.3333333333333335, 2.2222222222222223, 6.5, 0.75] \n",
            "AvgIndex 5.623076923076923 \n",
            "AvgIndex2 4.760067705962676\n",
            "\n",
            "AD Russell \n",
            "Wickets :  50 \tMatches :  46 \tBalls :  759 \n",
            "MatchStats :  ['3/24-4', '1/52-4', '2/21-4', '0/18-1', '0/16-2', '0/28-3', '4/27-4', '1/24-5', '6/25-5', '1/21-4', '1/12-2', '0/33-3', '2/32-3', '2/21-3', '1/28-3', '0/16-1', '1/29-3', '0/16-1', '0/10-2', '0/35-4', '0/39-3', '1/25-3', '0/31-2', '1/28-4', '3/31-4', '0/12-2', '2/12-3', '0/16-3', '3/42-4', '2/13-3', '1/35-4', '0/22-3', '0/9-1', '1/17-3', '0/8-1', '1/32-3', '2/25-4', '1/30-4', '0/34-3', '1/17-2', '2/18-3', '2/29-4', '1/18-2', '1/51-5', '0/15-2', '0/30-3'] \n",
            "MatchIndex :  [1.5, 6.5, 1.75, 18.0, 8.0, 9.333333333333334, 1.35, 2.4, 0.7142857142857143, 2.625, 3.0, 11.0, 3.5555555555555554, 2.3333333333333335, 4.666666666666667, 16.0, 4.833333333333333, 16.0, 5.0, 8.75, 13.0, 4.166666666666667, 15.5, 3.5, 1.9375, 6.0, 1.3333333333333333, 5.333333333333333, 2.625, 1.4444444444444444, 4.375, 7.333333333333333, 9.0, 2.8333333333333335, 8.0, 5.333333333333333, 2.0833333333333335, 3.75, 11.333333333333334, 4.25, 2.0, 2.4166666666666665, 4.5, 5.1, 7.5, 10.0] \n",
            "AvgIndex 5.912176501035198 \n",
            "AvgIndex2 6.429072839736291\n",
            "\n",
            "UT Yadav \n",
            "Wickets :  60 \tMatches :  50 \tBalls :  1082 \n",
            "MatchStats :  ['0/21-3', '3/28-5', '2/17-3', '1/21-2', '1/19-3', '3/38-3', '2/56-5', '0/28-4', '0/18-2', '4/33-5', '0/29-4', '1/53-4', '1/18-2', '1/17-3', '1/29-4', '1/39-5', '0/31-4', '1/28-4', '3/36-5', '1/27-4', '1/44-4', '2/21-5', '1/27-3', '0/13-4', '2/26-5', '0/47-4', '0/40-4', '0/42-5', '0/25-3', '2/28-5', '3/23-4', '0/59-5', '2/37-5', '1/27-4', '1/23-4', '0/36-4', '2/31-5', '2/16-3', '1/36-5', '0/29-4', '3/23-4', '0/31-4', '3/25-4', '3/51-5', '3/36-5', '1/39-4', '0/10-1', '0/46-5', '1/49-5', '0/37-4'] \n",
            "MatchIndex :  [7.0, 1.4, 1.8888888888888888, 5.25, 3.1666666666666665, 3.1666666666666665, 3.7333333333333334, 7.0, 9.0, 1.32, 7.25, 6.625, 4.5, 2.8333333333333335, 3.625, 3.9, 7.75, 3.5, 1.8, 3.375, 5.5, 1.4, 4.5, 3.25, 1.7333333333333334, 11.75, 10.0, 8.4, 8.333333333333334, 1.8666666666666667, 1.4375, 11.8, 2.466666666666667, 3.375, 2.875, 9.0, 2.066666666666667, 1.7777777777777777, 3.6, 7.25, 1.4375, 7.75, 1.5625, 2.55, 1.8, 4.875, 10.0, 9.2, 4.9, 9.25] \n",
            "AvgIndex 4.875816666666668 \n",
            "AvgIndex2 5.852930326666669\n",
            "\n",
            "JW Hastings \n",
            "Wickets :  2 \tMatches :  2 \tBalls :  42 \n",
            "MatchStats :  ['2/6-3', '0/31-5'] \n",
            "MatchIndex :  [0.6666666666666666, 6.2] \n",
            "AvgIndex 3.4333333333333336 \n",
            "AvgIndex2 4.291666666666667\n",
            "\n",
            "C Munro \n",
            "Wickets :  0 \tMatches :  2 \tBalls :  12 \n",
            "MatchStats :  ['0/7-1', '0/8-1'] \n",
            "MatchIndex :  [7.0, 8.0] \n",
            "AvgIndex 7.5 \n",
            "AvgIndex2 1.875\n",
            "\n",
            "GB Hogg \n",
            "Wickets :  5 \tMatches :  5 \tBalls :  98 \n",
            "MatchStats :  ['3/19-5', '1/39-5', '0/39-4', '0/28-2', '1/19-2'] \n",
            "MatchIndex :  [0.95, 3.9, 9.75, 14.0, 4.75] \n",
            "AvgIndex 6.67 \n",
            "AvgIndex2 6.936800000000001\n",
            "\n",
            "PP Chawla \n",
            "Wickets :  49 \tMatches :  52 \tBalls :  1029 \n",
            "MatchStats :  ['2/21-5', '1/29-4', '0/13-1', '1/18-4', '0/26-3', '0/24-3', '2/32-4', '2/27-5', '2/30-4', '2/21-4', '0/32-4', '1/33-5', '1/36-3', '1/36-4', '0/13-2', '1/27-3', '2/34-5', '1/23-3', '1/27-3', '1/36-4', '0/32-4', '0/19-4', '1/28-4', '0/35-3', '2/32-4', '1/31-4', '1/49-5', '1/20-4', '1/17-3', '1/18-4', '0/24-2', '1/33-4', '0/22-3', '2/39-4', '0/35-3', '3/49-4', '0/16-2', '0/19-2', '2/24-4', '1/23-3', '0/10-1', '0/38-3', '3/20-4', '1/62-4', '0/43-4', '1/21-5', '1/55-5', '2/33-4', '2/20-3', '1/22-2', '0/8-1', '0/32-3'] \n",
            "MatchIndex :  [1.4, 3.625, 13.0, 2.25, 8.666666666666666, 8.0, 2.6666666666666665, 1.8, 2.5, 1.75, 8.0, 3.3, 6.0, 4.5, 6.5, 4.5, 2.2666666666666666, 3.8333333333333335, 4.5, 4.5, 8.0, 4.75, 3.5, 11.666666666666666, 2.6666666666666665, 3.875, 4.9, 2.5, 2.8333333333333335, 2.25, 12.0, 4.125, 7.333333333333333, 3.25, 11.666666666666666, 3.0625, 8.0, 9.5, 2.0, 3.8333333333333335, 10.0, 12.666666666666666, 1.25, 7.75, 10.75, 2.1, 5.5, 2.75, 2.2222222222222223, 5.5, 8.0, 10.666666666666666] \n",
            "AvgIndex 5.469738247863249 \n",
            "AvgIndex2 5.1561992580633955\n",
            "\n",
            "NM Coulter-Nile \n",
            "Wickets :  26 \tMatches :  19 \tBalls :  436 \n",
            "MatchStats :  ['0/32-4', '2/29-5', '0/21-4', '2/38-4', '3/22-5', '2/41-4', '3/22-4', '3/34-4', '1/35-5', '0/41-4', '3/22-4', '1/15-3', '1/51-5', '0/33-4', '1/25-5', '1/14-2', '0/27-5', '0/27-5', '3/29-5'] \n",
            "MatchIndex :  [8.0, 1.9333333333333333, 5.25, 3.1666666666666665, 1.1, 3.4166666666666665, 1.375, 2.125, 3.5, 10.25, 1.375, 2.5, 5.1, 8.25, 2.5, 3.5, 5.4, 5.4, 1.45] \n",
            "AvgIndex 3.9785087719298255 \n",
            "AvgIndex2 5.455295961510426\n",
            "\n",
            "Z Khan \n",
            "Wickets :  24 \tMatches :  23 \tBalls :  517 \n",
            "MatchStats :  ['0/24-3', '1/14-4', '1/50-4', '2/30-5', '0/48-4', '4/21-4', '1/27-5', '1/25-3', '1/27-5', '0/19-4', '0/26-4', '1/30-5', '3/31-5', '3/20-4', '0/38-4', '2/29-4', '0/37-4', '0/37-5', '0/9-2', '0/30-4', '0/35-4', '2/25-5', '2/32-5'] \n",
            "MatchIndex :  [8.0, 1.75, 6.25, 2.0, 12.0, 1.05, 2.7, 4.166666666666667, 2.7, 4.75, 6.5, 3.0, 1.55, 1.25, 9.5, 2.4166666666666665, 9.25, 7.4, 4.5, 7.5, 8.75, 1.6666666666666667, 2.1333333333333333] \n",
            "AvgIndex 4.816666666666667 \n",
            "AvgIndex2 5.035192186515439\n",
            "\n",
            "CH Morris \n",
            "Wickets :  58 \tMatches :  43 \tBalls :  960 \n",
            "MatchStats :  ['0/21-5', '1/20-5', '0/30-4', '2/27-5', '2/35-5', '2/20-3', '1/33-5', '2/35-5', '2/19-5', '2/36-4', '1/13-3', '1/31-4', '3/22-4', '1/19-3', '3/23-5', '1/30-4', '4/26-4', '2/33-5', '0/39-3', '0/13-2', '0/36-4', '1/39-4', '3/30-5', '0/30-3', '2/28-5', '2/38-5', '3/22-3', '1/25-3', '0/35-3', '2/45-5', '0/43-5', '0/39-4', '1/41-5', '1/47-5', '3/19-4', '2/17-4', '0/22-5', '4/26-5', '1/17-5', '1/36-4', '1/36-5', '0/19-3', '0/20-2'] \n",
            "MatchIndex :  [4.2, 2.0, 7.5, 1.8, 2.3333333333333335, 2.2222222222222223, 3.3, 2.3333333333333335, 1.2666666666666666, 3.0, 2.1666666666666665, 3.875, 1.375, 3.1666666666666665, 1.15, 3.75, 1.3, 2.2, 13.0, 6.5, 9.0, 4.875, 1.5, 10.0, 1.8666666666666667, 2.533333333333333, 1.8333333333333333, 4.166666666666667, 11.666666666666666, 3.0, 8.6, 9.75, 4.1, 4.7, 1.1875, 1.4166666666666667, 4.4, 1.04, 1.7, 4.5, 3.6, 6.333333333333333, 10.0] \n",
            "AvgIndex 4.190885012919896 \n",
            "AvgIndex2 5.65508821375616\n",
            "\n",
            "CR Brathwaite \n",
            "Wickets :  16 \tMatches :  16 \tBalls :  266 \n",
            "MatchStats :  ['0/11-3', '1/33-4', '1/19-2', '3/47-5', '0/17-2', '0/20-2', '3/27-5', '1/18-4', '0/29-3', '1/38-5', '0/13-1', '2/22-3', '1/32-4', '2/15-2', '1/27-3', '0/16-3'] \n",
            "MatchIndex :  [3.6666666666666665, 4.125, 4.75, 2.35, 8.5, 10.0, 1.35, 2.25, 9.666666666666666, 3.8, 13.0, 2.4444444444444446, 4.0, 2.5, 4.5, 5.333333333333333] \n",
            "AvgIndex 5.139756944444444 \n",
            "AvgIndex2 5.1598341200086795\n",
            "\n",
            "A Mishra \n",
            "Wickets :  51 \tMatches :  52 \tBalls :  1051 \n",
            "MatchStats :  ['1/11-3', '4/11-4', '0/30-3', '2/25-4', '0/27-3', '1/37-5', '1/19-3', '1/28-5', '0/37-5', '2/19-3', '1/42-4', '0/10-2', '1/21-3', '0/33-4', '0/32-2', '3/11-3', '1/16-3', '1/26-3', '0/33-3', '2/19-5', '0/36-3', '0/9-1', '1/23-5', '0/23-2', '1/38-4', '1/27-2', '0/26-4', '0/26-2', '2/36-5', '1/36-5', '0/13-3', '0/46-4', '0/33-5', '3/24-4', '1/30-4', '1/12-2', '2/19-5', '0/29-3', '1/33-5', '2/20-4', '3/19-4', '1/18-3', '0/41-4', '0/28-3', '2/29-5', '0/16-3', '3/17-4', '1/16-4', '1/21-4', '0/23-4', '2/35-4', '1/14-3'] \n",
            "MatchIndex :  [1.8333333333333333, 0.55, 10.0, 2.0833333333333335, 9.0, 3.7, 3.1666666666666665, 2.8, 7.4, 2.111111111111111, 5.25, 5.0, 3.5, 8.25, 16.0, 0.9166666666666666, 2.6666666666666665, 4.333333333333333, 11.0, 1.2666666666666666, 12.0, 9.0, 2.3, 11.5, 4.75, 6.75, 6.5, 13.0, 2.4, 3.6, 4.333333333333333, 11.5, 6.6, 1.5, 3.75, 3.0, 1.2666666666666666, 9.666666666666666, 3.3, 1.6666666666666667, 1.1875, 3.0, 10.25, 9.333333333333334, 1.9333333333333333, 5.333333333333333, 1.0625, 2.0, 2.625, 5.75, 2.9166666666666665, 2.3333333333333335] \n",
            "AvgIndex 5.133386752136753 \n",
            "AvgIndex2 5.036566217980327\n",
            "\n",
            "P Kumar \n",
            "Wickets :  16 \tMatches :  22 \tBalls :  427 \n",
            "MatchStats :  ['0/25-4', '0/12-2', '0/20-4', '0/31-3', '0/28-3', '0/14-4', '1/37-4', '2/25-3', '0/20-3', '1/28-5', '2/19-4', '2/46-4', '0/12-3', '2/24-4', '0/34-4', '0/33-4', '0/13-2', '1/16-2', '1/51-5', '1/25-4', '1/24-2', '2/25-5'] \n",
            "MatchIndex :  [6.25, 6.0, 5.0, 10.333333333333334, 9.333333333333334, 3.5, 4.625, 2.7777777777777777, 6.666666666666667, 2.8, 1.5833333333333333, 3.8333333333333335, 4.0, 2.0, 8.5, 8.25, 6.5, 4.0, 5.1, 3.125, 6.0, 1.6666666666666667] \n",
            "AvgIndex 5.083838383838384 \n",
            "AvgIndex2 3.707840804741632\n",
            "\n",
            "PJ Sangwan \n",
            "Wickets :  6 \tMatches :  8 \tBalls :  147 \n",
            "MatchStats :  ['0/21-2', '0/28-3', '2/38-5', '1/45-5', '1/28-3', '2/35-3', '0/37-4', '0/20-2'] \n",
            "MatchIndex :  [10.5, 9.333333333333334, 2.533333333333333, 4.5, 4.666666666666667, 3.888888888888889, 9.25, 10.0] \n",
            "AvgIndex 6.834027777777778 \n",
            "AvgIndex2 5.232302517361112\n",
            "\n",
            "JP Faulkner \n",
            "Wickets :  11 \tMatches :  15 \tBalls :  267 \n",
            "MatchStats :  ['0/40-5', '0/15-2', '1/40-5', '1/23-2', '0/22-2', '0/19-2', '0/9-1', '1/39-4', '2/20-3', '2/34-4', '1/31-3', '0/38-3', '0/43-4', '3/39-4', '0/24-2'] \n",
            "MatchIndex :  [8.0, 7.5, 4.0, 5.75, 11.0, 9.5, 9.0, 4.875, 2.2222222222222223, 2.8333333333333335, 5.166666666666667, 12.666666666666666, 10.75, 2.4375, 12.0] \n",
            "AvgIndex 7.180092592592593 \n",
            "AvgIndex2 5.297312757201646\n",
            "\n",
            "S Ladda \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  12 \n",
            "MatchStats :  ['0/21-2'] \n",
            "MatchIndex :  [10.5] \n",
            "AvgIndex 10.5 \n",
            "AvgIndex2 10.5\n",
            "\n",
            "RA Jadeja \n",
            "Wickets :  47 \tMatches :  69 \tBalls :  1273 \n",
            "MatchStats :  ['2/32-5', '2/19-4', '0/20-3', '0/18-3', '0/14-1', '0/39-5', '2/29-4', '1/21-3', '0/14-2', '0/26-3', '0/35-4', '0/17-2', '0/15-1', '2/21-4', '1/40-4', '0/34-4', '0/57-4', '0/32-4', '1/33-4', '2/29-4', '0/11-1', '0/19-2', '1/28-2', '0/19-3', '0/31-4', '0/19-3', '2/16-4', '1/24-4', '0/23-2', '1/10-2', '0/24-4', '1/17-5', '2/20-4', '0/49-5', '0/22-4', '0/9-1', '1/19-2', '0/6-1', '0/28-5', '0/26-2', '2/32-5', '1/39-5', '3/18-4', '1/28-4', '0/24-2', '1/19-4', '1/24-3', '1/13-4', '1/25-2', '2/29-4', '0/33-4', '3/9-3', '1/16-2', '0/19-4', '2/24-3', '0/12-2', '2/42-4', '0/40-5', '0/44-4', '0/16-2', '1/30-4', '0/7-2', '1/21-3', '0/35-2', '0/11-2', '0/15-1', '0/20-3', '1/20-3', '1/17-3'] \n",
            "MatchIndex :  [2.1333333333333333, 1.5833333333333333, 6.666666666666667, 6.0, 14.0, 7.8, 2.4166666666666665, 3.5, 7.0, 8.666666666666666, 8.75, 8.5, 15.0, 1.75, 5.0, 8.5, 14.25, 8.0, 4.125, 2.4166666666666665, 11.0, 9.5, 7.0, 6.333333333333333, 7.75, 6.333333333333333, 1.3333333333333333, 3.0, 11.5, 2.5, 6.0, 1.7, 1.6666666666666667, 9.8, 5.5, 9.0, 4.75, 6.0, 5.6, 13.0, 2.1333333333333333, 3.9, 1.125, 3.5, 12.0, 2.375, 4.0, 1.625, 6.25, 2.4166666666666665, 8.25, 0.75, 4.0, 4.75, 2.6666666666666665, 6.0, 3.5, 8.0, 11.0, 8.0, 3.75, 3.5, 3.5, 17.5, 5.5, 15.0, 6.666666666666667, 3.3333333333333335, 2.8333333333333335] \n",
            "AvgIndex 6.1326086956521735 \n",
            "AvgIndex2 4.178572276558633\n",
            "\n",
            "DJ Bravo \n",
            "Wickets :  57 \tMatches :  49 \tBalls :  1084 \n",
            "MatchStats :  ['4/22-5', '1/43-4', '2/39-5', '0/27-3', '0/43-5', '1/40-5', '2/40-5', '2/33-4', '2/14-3', '0/39-5', '0/46-4', '1/29-5', '2/25-5', '0/30-4', '2/32-4', '1/0-1', '3/33-5', '2/33-5', '1/49-5', '0/26-4', '0/50-3', '1/37-4', '2/16-3', '1/37-3', '4/33-5', '1/22-4', '0/43-4', '0/23-2', '1/17-2', '2/31-4', '1/39-5', '0/53-5', '2/40-4', '2/25-5', '1/46-5', '2/34-4', '0/35-5', '0/35-5', '1/18-3', '0/31-5', '0/25-3', '2/19-5', '1/24-4', '0/28-5', '0/38-5', '4/37-5', '0/29-4', '2/25-3', '1/23-4'] \n",
            "MatchIndex :  [0.88, 5.375, 2.6, 9.0, 8.6, 4.0, 2.6666666666666665, 2.75, 1.5555555555555556, 7.8, 11.5, 2.9, 1.6666666666666667, 7.5, 2.6666666666666665, 0.0, 1.65, 2.2, 4.9, 6.5, 16.666666666666668, 4.625, 1.7777777777777777, 6.166666666666667, 1.32, 2.75, 10.75, 11.5, 4.25, 2.5833333333333335, 3.9, 10.6, 3.3333333333333335, 1.6666666666666667, 4.6, 2.8333333333333335, 7.0, 7.0, 3.0, 6.2, 8.333333333333334, 1.2666666666666666, 3.0, 5.6, 7.6, 1.48, 7.25, 2.7777777777777777, 2.875] \n",
            "AvgIndex 4.886043083900227 \n",
            "AvgIndex2 5.685799407087561\n",
            "\n",
            "Sandeep Sharma \n",
            "Wickets :  77 \tMatches :  63 \tBalls :  1464 \n",
            "MatchStats :  ['1/21-3', '1/6-2', '2/24-5', '0/25-2', '2/30-4', '1/20-5', '1/31-5', '2/25-5', '1/38-4', '3/49-5', '2/11-4', '1/36-4', '1/29-3', '1/29-5', '2/33-4', '1/26-5', '0/28-4', '1/41-4', '1/38-4', '0/39-4', '2/40-4', '4/20-5', '3/22-4', '2/30-5', '0/31-4', '1/42-5', '0/12-3', '1/42-5', '0/38-4', '4/19-4', '1/25-4', '1/20-4', '2/21-4', '0/32-5', '0/33-5', '2/25-4', '1/9-4', '2/17-4', '1/15-4', '1/35-5', '1/20-5', '1/24-4', '1/36-5', '1/40-5', '0/30-3', '2/30-3', '1/53-5', '1/37-4', '1/55-4', '2/33-5', '0/36-4', '2/41-4', '0/27-5', '0/32-4', '2/19-4', '0/27-4', '0/31-4', '2/29-5', '2/27-5', '2/20-5', '3/34-4', '0/21-4', '1/30-4'] \n",
            "MatchIndex :  [3.5, 1.5, 1.6, 12.5, 2.5, 2.0, 3.1, 1.6666666666666667, 4.75, 2.45, 0.9166666666666666, 4.5, 4.833333333333333, 2.9, 2.75, 2.6, 7.0, 5.125, 4.75, 9.75, 3.3333333333333335, 0.8, 1.375, 2.0, 7.75, 4.2, 4.0, 4.2, 9.5, 0.95, 3.125, 2.5, 1.75, 6.4, 6.6, 2.0833333333333335, 1.125, 1.4166666666666667, 1.875, 3.5, 2.0, 3.0, 3.6, 4.0, 10.0, 3.3333333333333335, 5.3, 4.625, 6.875, 2.2, 9.0, 3.4166666666666665, 5.4, 8.0, 1.5833333333333333, 6.75, 7.75, 1.9333333333333333, 1.8, 1.3333333333333333, 2.125, 5.25, 3.75] \n",
            "AvgIndex 4.003174603174604 \n",
            "AvgIndex2 4.8937775698168755\n",
            "\n",
            "MG Johnson \n",
            "Wickets :  14 \tMatches :  14 \tBalls :  327 \n",
            "MatchStats :  ['2/37-5', '0/28-3', '1/43-5', '1/23-5', '1/34-5', '1/31-5', '2/28-5', '4/31-4', '1/30-4', '1/30-4', '0/42-4', '0/39-4', '0/51-4', '0/26-4'] \n",
            "MatchIndex :  [2.466666666666667, 9.333333333333334, 4.3, 2.3, 3.4, 3.1, 1.8666666666666667, 1.55, 3.75, 3.75, 10.5, 9.75, 12.75, 6.5] \n",
            "AvgIndex 5.379761904761905 \n",
            "AvgIndex2 5.407209669582119\n",
            "\n",
            "MM Sharma \n",
            "Wickets :  38 \tMatches :  39 \tBalls :  810 \n",
            "MatchStats :  ['0/24-3', '0/11-3', '4/24-4', '0/29-4', '2/20-4', '3/38-5', '3/32-4', '1/39-4', '0/21-4', '0/33-4', '2/26-5', '0/41-4', '0/33-3', '1/39-5', '0/34-4', '0/47-4', '0/30-3', '1/37-5', '2/25-4', '1/29-3', '1/27-5', '1/34-3', '1/3-2', '2/24-4', '0/35-4', '2/24-3', '2/57-4', '0/6-1', '1/27-3', '2/34-4', '0/45-4', '1/47-5', '2/52-5', '0/29-4', '1/40-5', '0/15-1', '0/38-4', '1/28-4', '1/45-5'] \n",
            "MatchIndex :  [8.0, 3.6666666666666665, 1.2, 7.25, 1.6666666666666667, 1.9, 2.0, 4.875, 5.25, 8.25, 1.7333333333333334, 10.25, 11.0, 3.9, 8.5, 11.75, 10.0, 3.7, 2.0833333333333335, 4.833333333333333, 2.7, 5.666666666666667, 0.75, 2.0, 8.75, 2.6666666666666665, 4.75, 6.0, 4.5, 2.8333333333333335, 11.25, 4.7, 3.466666666666667, 7.25, 4.0, 15.0, 9.5, 3.5, 4.5] \n",
            "AvgIndex 5.527991452991453 \n",
            "AvgIndex2 5.38988252780166\n",
            "\n",
            "MP Stoinis \n",
            "Wickets :  29 \tMatches :  37 \tBalls :  562 \n",
            "MatchStats :  ['1/27-2', '1/24-4', '0/26-3', '3/42-5', '0/35-3', '4/21-4', '0/28-4', '1/28-4', '0/28-4', '0/15-2', '1/28-3', '0/12-2', '0/28-3', '0/28-2', '0/7-1', '1/37-3', '0/6-1', '1/15-2', '0/13-1', '1/43-3', '1/32-5', '0/22-4', '1/13-2', '0/24-3', '2/30-3', '0/23-3', '1/47-5', '2/17-3', '1/31-3', '0/10-1', '0/14-2', '2/42-5', '0/15-2', '0/4-1', '1/5-1', '3/26-4', '1/23-2'] \n",
            "MatchIndex :  [6.75, 3.0, 8.666666666666666, 2.1, 11.666666666666666, 1.05, 7.0, 3.5, 7.0, 7.5, 4.666666666666667, 6.0, 9.333333333333334, 14.0, 7.0, 6.166666666666667, 6.0, 3.75, 13.0, 7.166666666666667, 3.2, 5.5, 3.25, 8.0, 3.3333333333333335, 7.666666666666667, 4.7, 1.8888888888888888, 5.166666666666667, 10.0, 7.0, 2.8, 7.5, 4.0, 2.5, 1.625, 5.75] \n",
            "AvgIndex 5.924249249249248 \n",
            "AvgIndex2 4.647657920886554\n",
            "\n",
            "AR Patel \n",
            "Wickets :  54 \tMatches :  65 \tBalls :  1361 \n",
            "MatchStats :  ['0/17-3', '1/26-3', '0/27-3', '2/19-3', '0/11-2', '1/42-4', '4/21-5', '0/26-4', '0/33-4', '1/27-4', '1/30-4', '1/27-4', '1/46-4', '1/43-5', '1/28-5', '1/12-4', '1/36-4', '1/34-4', '2/33-5', '0/21-3', '2/37-4', '0/34-3', '2/22-5', '3/11-3', '0/29-3', '0/28-4', '1/28-3', '1/13-2', '1/42-3', '0/16-4', '1/22-5', '1/22-4', '0/30-4', '0/23-2', '1/35-3', '1/26-4', '0/9-1', '1/22-4', '0/24-3', '0/52-5', '0/24-4', '0/29-4', '2/17-4', '2/22-3', '1/39-4', '1/26-4', '1/31-3', '1/16-4', '0/30-4', '1/32-4', '1/14-4', '2/18-4', '0/14-3', '2/19-4', '1/8-2', '1/24-3', '2/32-4', '0/23-4', '1/27-4', '0/7-1', '0/37-5', '0/30-4', '0/27-3', '1/33-4', '0/16-4'] \n",
            "MatchIndex :  [5.666666666666667, 4.333333333333333, 9.0, 2.111111111111111, 5.5, 5.25, 0.84, 6.5, 8.25, 3.375, 3.75, 3.375, 5.75, 4.3, 2.8, 1.5, 4.5, 4.25, 2.2, 7.0, 3.0833333333333335, 11.333333333333334, 1.4666666666666666, 0.9166666666666666, 9.666666666666666, 7.0, 4.666666666666667, 3.25, 7.0, 4.0, 2.2, 2.75, 7.5, 11.5, 5.833333333333333, 3.25, 9.0, 2.75, 8.0, 10.4, 6.0, 7.25, 1.4166666666666667, 2.4444444444444446, 4.875, 3.25, 5.166666666666667, 2.0, 7.5, 4.0, 1.75, 1.5, 4.666666666666667, 1.5833333333333333, 2.0, 4.0, 2.6666666666666665, 5.75, 3.375, 7.0, 7.4, 7.5, 9.0, 4.125, 4.0] \n",
            "AvgIndex 4.862111111111111 \n",
            "AvgIndex2 4.040443103221564\n",
            "\n",
            "P Sahu \n",
            "Wickets :  3 \tMatches :  5 \tBalls :  107 \n",
            "MatchStats :  ['1/36-4', '0/31-3', '0/32-5', '2/18-4', '0/35-3'] \n",
            "MatchIndex :  [4.5, 10.333333333333334, 6.4, 1.5, 11.666666666666666] \n",
            "AvgIndex 6.88 \n",
            "AvgIndex2 4.4032\n",
            "\n",
            "A Nehra \n",
            "Wickets :  21 \tMatches :  14 \tBalls :  293 \n",
            "MatchStats :  ['0/21-3', '1/22-4', '1/32-4', '0/23-4', '3/15-3', '5/29-4', '1/23-3', '0/35-3', '2/42-5', '2/28-4', '1/46-4', '1/35-5', '3/42-4', '1/5-2'] \n",
            "MatchIndex :  [7.0, 2.75, 4.0, 5.75, 1.25, 1.2083333333333333, 3.8333333333333335, 11.666666666666666, 2.8, 2.3333333333333335, 5.75, 3.5, 2.625, 1.25] \n",
            "AvgIndex 3.9797619047619044 \n",
            "AvgIndex2 5.989947764820213\n",
            "\n",
            "B Kumar \n",
            "Wickets :  81 \tMatches :  62 \tBalls :  1479 \n",
            "MatchStats :  ['2/55-5', '0/29-5', '1/17-4', '4/30-5', '1/38-4', '1/17-4', '1/36-5', '2/28-4', '1/23-4', '1/21-5', '0/32-5', '2/33-4', '0/37-5', '2/31-4', '3/20-4', '2/27-5', '1/29-5', '2/28-5', '2/23-4', '3/23-4', '3/21-4', '5/20-5', '0/31-5', '1/39-5', '2/29-4', '2/30-4', '1/33-4', '1/39-5', '2/31-5', '2/26-4', '2/11-1', '0/37-4', '0/55-5', '0/25-3', '2/27-5', '1/34-5', '0/25-4', '2/34-5', '0/22-4', '2/30-5', '3/26-5', '1/25-5', '1/22-3', '0/33-4', '1/28-4', '1/52-5', '0/38-4', '0/33-5', '1/14-4', '0/39-4', '0/17-4', '2/35-5', '2/19-4', '0/23-5', '0/34-5', '1/29-5', '2/25-5', '2/42-5', '2/25-5', '0/29-4', '2/26-5', '1/20-4'] \n",
            "MatchIndex :  [3.6666666666666665, 5.8, 2.125, 1.2, 4.75, 2.125, 3.6, 2.3333333333333335, 2.875, 2.1, 6.4, 2.75, 7.4, 2.5833333333333335, 1.25, 1.8, 2.9, 1.8666666666666667, 1.9166666666666667, 1.4375, 1.3125, 0.6666666666666666, 6.2, 3.9, 2.4166666666666665, 2.5, 4.125, 3.9, 2.066666666666667, 2.1666666666666665, 3.6666666666666665, 9.25, 11.0, 8.333333333333334, 1.8, 3.4, 6.25, 2.2666666666666666, 5.5, 2.0, 1.3, 2.5, 3.6666666666666665, 8.25, 3.5, 5.2, 9.5, 6.6, 1.75, 9.75, 4.25, 2.3333333333333335, 1.5833333333333333, 4.6, 6.8, 2.9, 1.6666666666666667, 2.8, 1.6666666666666667, 7.25, 1.7333333333333334, 2.5] \n",
            "AvgIndex 3.8016129032258066 \n",
            "AvgIndex2 4.967612282232889\n",
            "\n",
            "Mustafizur Rahman \n",
            "Wickets :  28 \tMatches :  24 \tBalls :  560 \n",
            "MatchStats :  ['2/26-4', '1/29-5', '1/33-5', '1/19-4', '3/9-4', '0/22-3', '1/35-4', '2/17-4', '3/16-4', '0/26-4', '0/39-5', '1/32-4', '1/24-5', '1/32-5', '0/30-4', '2/38-4', '0/34-3', '1/40-4', '3/24-4', '1/26-4', '0/55-5', '1/35-5', '2/18-4', '1/34-4'] \n",
            "MatchIndex :  [2.1666666666666665, 2.9, 3.3, 2.375, 0.5625, 7.333333333333333, 4.375, 1.4166666666666667, 1.0, 6.5, 7.8, 4.0, 2.4, 3.2, 7.5, 3.1666666666666665, 11.333333333333334, 5.0, 1.5, 3.25, 11.0, 3.5, 1.5, 4.25] \n",
            "AvgIndex 4.222048611111111 \n",
            "AvgIndex2 4.933053325135031\n",
            "\n",
            "MC Henriques \n",
            "Wickets :  16 \tMatches :  29 \tBalls :  466 \n",
            "MatchStats :  ['0/41-4', '0/19-3', '0/23-5', '0/18-4', '2/33-5', '1/16-2', '2/40-4', '1/24-4', '1/20-4', '1/20-3', '2/19-3', '1/29-3', '0/18-2', '0/14-2', '3/17-3', '0/27-3', '0/40-3', '1/20-3', '0/12-1', '0/26-3', '1/6-2', '0/32-4', '0/4-1', '0/39-3', '0/31-3', '0/36-3', '0/15-3', '0/15-1', '0/12-1'] \n",
            "MatchIndex :  [10.25, 6.333333333333333, 4.6, 4.5, 2.2, 4.0, 3.3333333333333335, 3.0, 2.5, 3.3333333333333335, 2.111111111111111, 4.833333333333333, 9.0, 7.0, 1.4166666666666667, 9.0, 13.333333333333334, 3.3333333333333335, 12.0, 8.666666666666666, 1.5, 8.0, 4.0, 13.0, 10.333333333333334, 12.0, 5.0, 15.0, 12.0] \n",
            "AvgIndex 6.744061302681993 \n",
            "AvgIndex2 3.7288805062391517\n",
            "\n",
            "KV Sharma \n",
            "Wickets :  24 \tMatches :  25 \tBalls :  482 \n",
            "MatchStats :  ['0/58-5', '0/24-3', '0/28-4', '1/25-3', '0/39-4', '2/39-4', '1/23-4', '3/12-4', '0/20-2', '1/32-3', '1/26-3', '1/30-4', '4/17-5', '0/18-5', '1/33-3', '2/13-2', '1/30-3', '0/11-1', '0/11-1', '1/25-4', '2/25-4', '0/34-5', '2/37-5', '0/34-3', '1/35-4'] \n",
            "MatchIndex :  [11.6, 8.0, 7.0, 4.166666666666667, 9.75, 3.25, 2.875, 0.75, 10.0, 5.333333333333333, 4.333333333333333, 3.75, 0.68, 3.6, 5.5, 2.1666666666666665, 5.0, 11.0, 11.0, 3.125, 2.0833333333333335, 6.8, 2.466666666666667, 11.333333333333334, 4.375] \n",
            "AvgIndex 5.597533333333334 \n",
            "AvgIndex2 5.3825880533333335\n",
            "\n",
            "A Ashish Reddy \n",
            "Wickets :  1 \tMatches :  2 \tBalls :  23 \n",
            "MatchStats :  ['0/26-2', '1/14-2'] \n",
            "MatchIndex :  [13.0, 3.5] \n",
            "AvgIndex 8.25 \n",
            "AvgIndex2 6.1875\n",
            "\n",
            "AF Milne \n",
            "Wickets :  5 \tMatches :  5 \tBalls :  115 \n",
            "MatchStats :  ['1/44-5', '3/32-4', '1/45-5', '0/35-5', '0/29-3'] \n",
            "MatchIndex :  [4.4, 2.0, 4.5, 7.0, 9.666666666666666] \n",
            "AvgIndex 5.513333333333333 \n",
            "AvgIndex2 5.733866666666667\n",
            "\n",
            "SR Watson \n",
            "Wickets :  35 \tMatches :  35 \tBalls :  701 \n",
            "MatchStats :  ['2/30-5', '2/28-5', '0/40-5', '2/31-5', '1/31-4', '2/33-5', '1/38-3', '3/25-5', '2/22-4', '0/38-4', '0/4-2', '0/46-5', '2/7-3', '1/27-4', '4/29-5', '1/61-5', '0/41-3', '1/21-4', '0/29-2', '1/44-5', '0/24-2', '1/28-4', '1/43-5', '1/16-4', '2/29-5', '3/39-5', '1/15-2', '1/13-4', '0/23-2', '0/21-3', '0/41-5', '0/27-2', '0/19-3', '0/9-1', '0/16-3'] \n",
            "MatchIndex :  [2.0, 1.8666666666666667, 8.0, 2.066666666666667, 3.875, 2.2, 6.333333333333333, 1.25, 1.8333333333333333, 9.5, 2.0, 9.2, 0.7777777777777778, 3.375, 1.16, 6.1, 13.666666666666666, 2.625, 14.5, 4.4, 12.0, 3.5, 4.3, 2.0, 1.9333333333333333, 1.95, 3.75, 1.625, 11.5, 7.0, 8.2, 13.5, 6.333333333333333, 9.0, 5.333333333333333] \n",
            "AvgIndex 5.390126984126985 \n",
            "AvgIndex2 5.394527087787497\n",
            "\n",
            "Parvez Rasool \n",
            "Wickets :  1 \tMatches :  4 \tBalls :  84 \n",
            "MatchStats :  ['1/31-4', '0/28-3', '0/34-4', '0/37-3'] \n",
            "MatchIndex :  [3.875, 9.333333333333334, 8.5, 12.333333333333334] \n",
            "AvgIndex 8.510416666666668 \n",
            "AvgIndex2 2.6595052083333335\n",
            "\n",
            "HV Patel \n",
            "Wickets :  18 \tMatches :  18 \tBalls :  374 \n",
            "MatchStats :  ['0/33-5', '0/32-3', '0/20-2', '2/46-5', '0/16-2', '3/43-5', '2/40-5', '1/37-5', '1/34-3', '1/32-4', '1/51-5', '1/24-4', '3/28-3', '2/34-5', '0/44-5', '1/29-5', '0/20-2', '0/8-2'] \n",
            "MatchIndex :  [6.6, 10.666666666666666, 10.0, 3.066666666666667, 8.0, 2.15, 2.6666666666666665, 3.7, 5.666666666666667, 4.0, 5.1, 3.0, 2.3333333333333335, 2.2666666666666666, 8.8, 2.9, 10.0, 4.0] \n",
            "AvgIndex 5.273148148148148 \n",
            "AvgIndex2 5.289423296753544\n",
            "\n",
            "YS Chahal \n",
            "Wickets :  88 \tMatches :  69 \tBalls :  1548 \n",
            "MatchStats :  ['2/44-5', '0/23-3', '1/33-5', '2/31-5', '1/38-5', '2/32-4', '1/16-4', '3/19-4', '1/38-5', '4/25-3', '3/32-5', '1/42-4', '1/36-4', '1/22-4', '1/20-4', '1/29-4', '1/34-3', '0/11-2', '3/31-5', '3/16-5', '0/30-4', '0/25-2', '1/36-5', '2/29-5', '1/40-5', '0/28-4', '1/6-4', '4/42-5', '1/44-5', '2/17-5', '1/25-4', '0/36-5', '2/35-5', '2/27-4', '0/29-4', '1/39-4', '2/27-5', '0/32-3', '2/23-4', '2/27-5', '0/29-4', '0/25-5', '0/29-4', '1/25-5', '2/28-4', '1/7-2', '1/28-5', '0/26-4', '0/45-4', '1/24-4', '0/27-2', '2/41-4', '1/1-1', '1/24-5', '3/22-4', '1/25-4', '1/48-4', '3/25-4', '0/29-3', '1/35-5', '1/14-4', '2/35-4', '2/35-5', '2/15-4', '1/22-4', '2/37-4', '2/19-4', '0/29-4', '1/24-4'] \n",
            "MatchIndex :  [2.933333333333333, 7.666666666666667, 3.3, 2.066666666666667, 3.8, 2.6666666666666665, 2.0, 1.1875, 3.8, 1.6666666666666667, 1.6, 5.25, 4.5, 2.75, 2.5, 3.625, 5.666666666666667, 5.5, 1.55, 0.8, 7.5, 12.5, 3.6, 1.9333333333333333, 4.0, 7.0, 0.75, 1.68, 4.4, 1.1333333333333333, 3.125, 7.2, 2.3333333333333335, 2.25, 7.25, 4.875, 1.8, 10.666666666666666, 1.9166666666666667, 1.8, 7.25, 5.0, 7.25, 2.5, 2.3333333333333335, 1.75, 2.8, 6.5, 11.25, 3.0, 13.5, 3.4166666666666665, 0.5, 2.4, 1.375, 3.125, 6.0, 1.5625, 9.666666666666666, 3.5, 1.75, 2.9166666666666665, 2.3333333333333335, 1.25, 2.75, 3.0833333333333335, 1.5833333333333333, 7.25, 3.0] \n",
            "AvgIndex 3.958526570048309 \n",
            "AvgIndex2 5.049387074123793\n",
            "\n",
            "TG Southee \n",
            "Wickets :  21 \tMatches :  25 \tBalls :  575 \n",
            "MatchStats :  ['0/44-5', '0/31-4', '3/25-5', '0/25-4', '0/22-4', '2/28-4', '2/38-4', '0/35-5', '0/36-4', '1/27-5', '1/22-5', '1/34-5', '0/23-3', '2/40-5', '0/62-5', '1/28-3', '0/34-5', '2/25-5', '0/30-3', '5/31-5', '0/41-5', '0/20-2', '0/45-5', '1/37-5', '0/33-4'] \n",
            "MatchIndex :  [8.8, 7.75, 1.25, 6.25, 5.5, 2.3333333333333335, 3.1666666666666665, 7.0, 9.0, 2.7, 2.2, 3.4, 7.666666666666667, 2.6666666666666665, 12.4, 4.666666666666667, 6.8, 1.6666666666666667, 10.0, 1.0333333333333334, 8.2, 10.0, 9.0, 3.7, 8.25] \n",
            "AvgIndex 5.816 \n",
            "AvgIndex2 4.8947456\n",
            "\n",
            "J Suchith \n",
            "Wickets :  2 \tMatches :  2 \tBalls :  38 \n",
            "MatchStats :  ['0/31-3', '2/28-4'] \n",
            "MatchIndex :  [10.333333333333334, 2.3333333333333335] \n",
            "AvgIndex 6.333333333333334 \n",
            "AvgIndex2 7.916666666666667\n",
            "\n",
            "Kuldeep Yadav \n",
            "Wickets :  43 \tMatches :  43 \tBalls :  913 \n",
            "MatchStats :  ['1/37-5', '3/29-5', '3/36-4', '2/25-4', '1/35-5', '1/23-4', '0/29-3', '2/33-4', '2/31-4', '0/27-4', '0/43-5', '1/35-4', '2/35-4', '1/29-3', '0/18-2', '0/32-5', '3/41-4', '1/31-4', '0/33-4', '0/16-4', '0/28-5', '0/28-3', '0/33-4', '1/29-4', '1/23-4', '3/32-4', '1/24-4', '0/13-1', '0/22-2', '1/22-4', '1/34-5', '0/17-2', '0/43-3', '1/29-3', '4/20-4', '1/35-4', '1/18-4', '3/29-4', '1/59-5', '0/40-5', '0/15-2', '1/21-3', '0/19-4'] \n",
            "MatchIndex :  [3.7, 1.45, 2.25, 2.0833333333333335, 3.5, 2.875, 9.666666666666666, 2.75, 2.5833333333333335, 6.75, 8.6, 4.375, 2.9166666666666665, 4.833333333333333, 9.0, 6.4, 2.5625, 3.875, 8.25, 4.0, 5.6, 9.333333333333334, 8.25, 3.625, 2.875, 2.0, 3.0, 13.0, 11.0, 2.75, 3.4, 8.5, 14.333333333333334, 4.833333333333333, 1.0, 4.375, 2.25, 1.8125, 5.9, 8.0, 7.5, 3.5, 4.75] \n",
            "AvgIndex 5.209496124031009 \n",
            "AvgIndex2 5.2123135908368665\n",
            "\n",
            "SB Jakati \n",
            "Wickets :  2 \tMatches :  8 \tBalls :  155 \n",
            "MatchStats :  ['0/41-4', '1/13-4', '0/28-3', '1/24-4', '0/30-3', '0/45-4', '0/30-4', '0/22-2'] \n",
            "MatchIndex :  [10.25, 1.625, 9.333333333333334, 3.0, 10.0, 11.25, 7.5, 11.0] \n",
            "AvgIndex 7.994791666666667 \n",
            "AvgIndex2 2.1236165364583335\n",
            "\n",
            "PV Tambe \n",
            "Wickets :  5 \tMatches :  7 \tBalls :  97 \n",
            "MatchStats :  ['2/33-4', '2/12-2', '0/17-3', '1/24-3', '0/17-1', '0/15-2', '0/25-2'] \n",
            "MatchIndex :  [2.75, 2.0, 5.666666666666667, 4.0, 17.0, 7.5, 12.5] \n",
            "AvgIndex 7.345238095238096 \n",
            "AvgIndex2 5.3965014577259485\n",
            "\n",
            "P Negi \n",
            "Wickets :  23 \tMatches :  23 \tBalls :  348 \n",
            "MatchStats :  ['1/10-1', '0/26-3', '0/19-1', '0/10-1', '1/19-3', '2/3-1', '0/8-1', '0/29-3', '1/13-4', '1/21-5', '2/15-4', '1/24-3', '1/18-5', '3/18-4', '1/22-3', '2/21-4', '3/10-2', '2/21-4', '1/28-4', '0/47-5', '0/13-1', '1/36-3', '0/7-1'] \n",
            "MatchIndex :  [5.0, 8.666666666666666, 19.0, 10.0, 3.1666666666666665, 1.0, 8.0, 9.666666666666666, 1.625, 2.1, 1.25, 4.0, 1.8, 1.125, 3.6666666666666665, 1.75, 1.25, 1.75, 3.5, 9.4, 13.0, 6.0, 7.0] \n",
            "AvgIndex 5.378985507246377 \n",
            "AvgIndex2 5.38915372181584\n",
            "\n",
            "J Yadav \n",
            "Wickets :  4 \tMatches :  11 \tBalls :  226 \n",
            "MatchStats :  ['1/23-5', '0/25-4', '1/32-5', '0/37-4', '0/8-1', '0/16-3', '0/27-4', '0/25-4', '1/25-4', '0/18-3', '1/25-4'] \n",
            "MatchIndex :  [2.3, 6.25, 3.2, 9.25, 8.0, 5.333333333333333, 6.75, 6.25, 3.125, 6.0, 3.125] \n",
            "AvgIndex 5.416666666666667 \n",
            "AvgIndex2 2.0144628099173554\n",
            "\n",
            "GJ Maxwell \n",
            "Wickets :  15 \tMatches :  32 \tBalls :  394 \n",
            "MatchStats :  ['0/11-2', '0/3-1', '0/18-2', '0/16-2', '0/11-1', '0/11-1', '0/11-1', '0/18-1', '0/7-1', '2/29-4', '1/12-4', '2/15-4', '1/21-2', '1/9-2', '0/15-2', '0/21-4', '1/13-3', '0/4-1', '2/22-2', '1/5-1', '1/21-1', '0/4-1', '0/9-1', '0/14-2', '0/19-2', '1/10-2', '0/31-3', '0/26-2', '0/28-4', '0/24-4', '1/31-4', '1/21-2'] \n",
            "MatchIndex :  [5.5, 3.0, 9.0, 8.0, 11.0, 11.0, 11.0, 18.0, 7.0, 2.4166666666666665, 1.5, 1.25, 5.25, 2.25, 7.5, 5.25, 2.1666666666666665, 4.0, 3.6666666666666665, 2.5, 10.5, 4.0, 9.0, 7.0, 9.5, 2.5, 10.333333333333334, 13.0, 7.0, 6.0, 3.875, 5.25] \n",
            "AvgIndex 6.537760416666667 \n",
            "AvgIndex2 3.070959726969401\n",
            "\n",
            "M Morkel \n",
            "Wickets :  10 \tMatches :  10 \tBalls :  220 \n",
            "MatchStats :  ['2/35-5', '2/27-4', '0/30-3', '2/28-4', '1/28-5', '0/38-4', '0/22-4', '0/20-2', '1/39-4', '2/32-4'] \n",
            "MatchIndex :  [2.3333333333333335, 2.25, 10.0, 2.3333333333333335, 2.8, 9.5, 5.5, 10.0, 4.875, 2.6666666666666665] \n",
            "AvgIndex 5.225833333333333 \n",
            "AvgIndex2 5.278091666666667\n",
            "\n",
            "Shakib Al Hasan \n",
            "Wickets :  23 \tMatches :  30 \tBalls :  619 \n",
            "MatchStats :  ['0/19-3', '0/29-5', '1/14-3', '1/30-4', '0/21-3', '1/38-3', '1/21-3', '0/39-5', '1/36-5', '0/34-3', '1/42-4', '2/24-4', '1/34-5', '2/22-5', '0/28-2', '0/32-5', '1/16-3', '2/18-3', '0/30-4', '0/34-4', '2/36-4', '2/27-4', '1/41-4', '0/35-4', '1/30-3', '0/20-2', '2/16-3', '0/15-1', '0/27-4', '1/26-4'] \n",
            "MatchIndex :  [6.333333333333333, 5.8, 2.3333333333333335, 3.75, 7.0, 6.333333333333333, 3.5, 7.8, 3.6, 11.333333333333334, 5.25, 2.0, 3.4, 1.4666666666666666, 14.0, 6.4, 2.6666666666666665, 2.0, 7.5, 8.5, 3.0, 2.25, 5.125, 8.75, 5.0, 10.0, 1.7777777777777777, 15.0, 6.75, 3.25] \n",
            "AvgIndex 5.728981481481482 \n",
            "AvgIndex2 4.398584670781894\n",
            "\n",
            "SP Narine \n",
            "Wickets :  59 \tMatches :  64 \tBalls :  1498 \n",
            "MatchStats :  ['0/26-4', '2/23-5', '1/33-4', '2/22-4', '1/22-4', '0/45-4', '1/12-4', '1/34-4', '2/30-5', '3/28-4', '0/35-5', '0/33-4', '1/22-4', '1/19-5', '1/18-4', '2/20-5', '0/42-4', '1/34-5', '2/25-5', '0/37-4', '1/28-4', '2/29-4', '1/27-4', '0/37-5', '0/20-4', '0/21-4', '0/29-3', '0/26-2', '1/30-5', '0/26-5', '2/24-4', '2/19-5', '1/31-4', '1/18-4', '2/17-5', '3/18-3', '0/48-4', '1/23-3', '0/36-3', '0/39-4', '2/20-4', '2/35-4', '1/28-4', '1/44-4', '1/29-5', '1/24-5', '0/39-5', '1/24-4', '1/32-5', '0/36-4', '2/25-4', '2/44-4', '1/29-4', '0/33-5', '2/22-4', '0/32-4', '1/42-5', '0/26-2', '1/32-4', '2/30-4', '0/37-5', '0/27-4', '0/23-4', '0/37-4'] \n",
            "MatchIndex :  [6.5, 1.5333333333333334, 4.125, 1.8333333333333333, 2.75, 11.25, 1.5, 4.25, 2.0, 1.75, 7.0, 8.25, 2.75, 1.9, 2.25, 1.3333333333333333, 10.5, 3.4, 1.6666666666666667, 9.25, 3.5, 2.4166666666666665, 3.375, 7.4, 5.0, 5.25, 9.666666666666666, 13.0, 3.0, 5.2, 2.0, 1.2666666666666666, 3.875, 2.25, 1.1333333333333333, 1.5, 12.0, 3.8333333333333335, 12.0, 9.75, 1.6666666666666667, 2.9166666666666665, 3.5, 5.5, 2.9, 2.4, 7.8, 3.0, 3.2, 9.0, 2.0833333333333335, 3.6666666666666665, 3.625, 6.6, 1.8333333333333333, 8.0, 4.2, 13.0, 4.0, 2.5, 7.4, 6.75, 5.75, 9.25] \n",
            "AvgIndex 4.90234375 \n",
            "AvgIndex2 4.52054500579834\n",
            "\n",
            "BB Sran \n",
            "Wickets :  20 \tMatches :  23 \tBalls :  496 \n",
            "MatchStats :  ['0/31-5', '3/29-5', '1/36-4', '0/33-4', '1/36-5', '1/21-4', '2/18-4', '1/27-4', '0/21-2', '2/34-5', '1/32-5', '1/33-3', '0/28-4', '1/41-4', '0/29-3', '1/38-5', '1/22-5', '2/50-5', '1/45-5', '0/28-4', '1/48-3', '0/27-2', '0/24-3'] \n",
            "MatchIndex :  [6.2, 1.45, 4.5, 8.25, 3.6, 2.625, 1.5, 3.375, 10.5, 2.2666666666666666, 3.2, 5.5, 7.0, 5.125, 9.666666666666666, 3.8, 2.2, 3.3333333333333335, 4.5, 7.0, 8.0, 13.5, 8.0] \n",
            "AvgIndex 5.438768115942029 \n",
            "AvgIndex2 4.739644804251938\n",
            "\n",
            "DS Kulkarni \n",
            "Wickets :  33 \tMatches :  39 \tBalls :  780 \n",
            "MatchStats :  ['2/19-4', '0/9-1', '1/39-4', '3/19-4', '0/25-4', '1/28-4', '0/24-2', '2/17-4', '1/30-5', '1/33-3', '2/34-5', '2/41-4', '4/15-4', '1/32-4', '0/42-4', '0/17-2', '1/37-5', '0/23-2', '1/24-5', '1/30-4', '1/30-5', '0/40-4', '1/37-5', '0/26-4', '0/31-4', '1/14-3', '1/38-4', '1/38-4', '0/18-3', '0/5-2', '0/14-1', '0/20-2', '2/32-5', '0/20-2', '1/37-4', '1/43-4', '0/31-4', '1/51-4', '0/22-4'] \n",
            "MatchIndex :  [1.5833333333333333, 9.0, 4.875, 1.1875, 6.25, 3.5, 12.0, 1.4166666666666667, 3.0, 5.5, 2.2666666666666666, 3.4166666666666665, 0.75, 4.0, 10.5, 8.5, 3.7, 11.5, 2.4, 3.75, 3.0, 10.0, 3.7, 6.5, 7.75, 2.3333333333333335, 4.75, 4.75, 6.0, 2.5, 14.0, 10.0, 2.1333333333333333, 10.0, 4.625, 5.375, 7.75, 6.375, 5.5] \n",
            "AvgIndex 5.54198717948718 \n",
            "AvgIndex2 4.693017414319191\n",
            "\n",
            "KH Pandya \n",
            "Wickets :  49 \tMatches :  69 \tBalls :  1283 \n",
            "MatchStats :  ['1/21-4', '2/27-5', '0/25-5', '0/21-2', '0/21-2', '0/28-3', '0/5-1', '1/15-4', '0/32-4', '3/15-3', '0/28-2', '0/21-2', '3/24-4', '0/12-2', '1/25-4', '0/18-3', '1/31-5', '0/8-1', '3/15-5', '2/34-5', '0/14-2', '0/22-4', '0/25-3', '0/31-4', '0/21-2', '0/28-4', '2/44-5', '0/13-3', '0/9-2', '0/17-2', '3/34-5', '0/10-1', '0/10-2', '2/21-3', '3/28-5', '1/33-5', '0/14-3', '2/32-5', '0/25-4', '1/10-1', '1/29-3', '3/12-4', '0/24-4', '0/37-4', '1/13-2', '1/7-2', '0/24-2', '2/7-3', '0/27-3', '2/22-5', '0/14-5', '1/21-4', '1/39-3', '1/37-5', '0/10-1', '0/23-4', '1/27-5', '1/37-5', '0/22-2', '2/26-4', '0/24-4', '0/12-2', '0/16-4', '0/21-2', '0/27-4', '0/16-4', '0/37-4', '1/22-5', '0/30-4'] \n",
            "MatchIndex :  [2.625, 1.8, 5.0, 10.5, 10.5, 9.333333333333334, 5.0, 1.875, 8.0, 1.25, 14.0, 10.5, 1.5, 6.0, 3.125, 6.0, 3.1, 8.0, 0.75, 2.2666666666666666, 7.0, 5.5, 8.333333333333334, 7.75, 10.5, 7.0, 2.933333333333333, 4.333333333333333, 4.5, 8.5, 1.7, 10.0, 5.0, 2.3333333333333335, 1.4, 3.3, 4.666666666666667, 2.1333333333333333, 6.25, 5.0, 4.833333333333333, 0.75, 6.0, 9.25, 3.25, 1.75, 12.0, 0.7777777777777778, 9.0, 1.4666666666666666, 2.8, 2.625, 6.5, 3.7, 10.0, 5.75, 2.7, 3.7, 11.0, 2.1666666666666665, 6.0, 6.0, 4.0, 10.5, 6.75, 4.0, 9.25, 2.2, 7.5] \n",
            "AvgIndex 5.4417069243156195 \n",
            "AvgIndex2 3.865543545061001\n",
            "\n",
            "KJ Abbott \n",
            "Wickets :  2 \tMatches :  5 \tBalls :  102 \n",
            "MatchStats :  ['1/42-5', '0/32-4', '0/34-3', '1/48-4', '0/26-3'] \n",
            "MatchIndex :  [4.2, 8.0, 11.333333333333334, 6.0, 8.666666666666666] \n",
            "AvgIndex 7.639999999999999 \n",
            "AvgIndex2 3.3615999999999997\n",
            "\n",
            "Ankit Sharma \n",
            "Wickets :  1 \tMatches :  5 \tBalls :  82 \n",
            "MatchStats :  ['1/27-5', '0/31-5', '0/26-4', '0/16-1', '0/11-1'] \n",
            "MatchIndex :  [2.7, 6.2, 6.5, 16.0, 11.0] \n",
            "AvgIndex 8.48 \n",
            "AvgIndex2 2.0352\n",
            "\n",
            "IK Pathan \n",
            "Wickets :  2 \tMatches :  4 \tBalls :  60 \n",
            "MatchStats :  ['0/7-1', '0/17-3', '0/37-4', '2/26-2'] \n",
            "MatchIndex :  [7.0, 5.666666666666667, 9.25, 4.333333333333333] \n",
            "AvgIndex 6.5625 \n",
            "AvgIndex2 3.69140625\n",
            "\n",
            "NLTC Perera \n",
            "Wickets :  10 \tMatches :  11 \tBalls :  202 \n",
            "MatchStats :  ['0/30-3', '3/34-5', '2/28-4', '1/32-4', '3/41-5', '0/35-4', '0/9-1', '0/40-3', '0/26-2', '0/27-3', '1/24-2'] \n",
            "MatchIndex :  [10.0, 1.7, 2.3333333333333335, 4.0, 2.05, 8.75, 9.0, 13.333333333333334, 13.0, 9.0, 6.0] \n",
            "AvgIndex 7.196969696969696 \n",
            "AvgIndex2 6.602178812922614\n",
            "\n",
            "Mohammed Shami \n",
            "Wickets :  63 \tMatches :  48 \tBalls :  1070 \n",
            "MatchStats :  ['3/36-5', '1/24-3', '0/34-5', '2/33-4', '0/50-4', '1/34-4', '1/28-3', '0/13-1', '0/28-4', '0/19-3', '2/40-5', '1/40-3', '0/16-2', '2/37-5', '2/37-5', '1/31-5', '1/33-4', '1/44-5', '2/43-5', '3/27-4', '0/41-5', '1/30-4', '3/21-5', '1/43-4', '2/46-4', '0/26-2', '1/29-4', '1/36-4', '1/53-5', '2/22-4', '1/57-5', '2/36-5', '1/16-3', '2/18-3', '4/16-5', '1/15-3', '3/53-5', '1/36-5', '0/35-4', '1/40-4', '2/32-4', '2/49-4', '2/30-4', '2/28-5', '1/34-5', '3/36-4', '0/37-3', '0/33-5'] \n",
            "MatchIndex :  [1.8, 4.0, 6.8, 2.75, 12.5, 4.25, 4.666666666666667, 13.0, 7.0, 6.333333333333333, 2.6666666666666665, 6.666666666666667, 8.0, 2.466666666666667, 2.466666666666667, 3.1, 4.125, 4.4, 2.8666666666666667, 1.6875, 8.2, 3.75, 1.05, 5.375, 3.8333333333333335, 13.0, 3.625, 4.5, 5.3, 1.8333333333333333, 5.7, 2.4, 2.6666666666666665, 2.0, 0.64, 2.5, 2.65, 3.6, 8.75, 5.0, 2.6666666666666665, 4.083333333333333, 2.5, 1.8666666666666667, 3.4, 2.25, 12.333333333333334, 6.6] \n",
            "AvgIndex 4.658732638888889 \n",
            "AvgIndex2 6.116608607916185\n",
            "\n",
            "S Aravind \n",
            "Wickets :  16 \tMatches :  19 \tBalls :  372 \n",
            "MatchStats :  ['1/32-4', '1/16-3', '1/23-4', '1/16-3', '2/45-4', '2/18-3', '1/28-4', '0/14-3', '2/30-4', '0/36-3', '0/21-5', '2/29-5', '1/53-5', '1/27-4', '0/20-4', '0/31-4', '0/22-2', '1/13-2', '0/26-2'] \n",
            "MatchIndex :  [4.0, 2.6666666666666665, 2.875, 2.6666666666666665, 3.75, 2.0, 3.5, 4.666666666666667, 2.5, 12.0, 4.2, 1.9333333333333333, 5.3, 3.375, 5.0, 7.75, 11.0, 3.25, 13.0] \n",
            "AvgIndex 5.02280701754386 \n",
            "AvgIndex2 4.243645818146475\n",
            "\n",
            "D Wiese \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  27 \n",
            "MatchStats :  ['0/49-5'] \n",
            "MatchIndex :  [9.8] \n",
            "AvgIndex 9.8 \n",
            "AvgIndex2 9.8\n",
            "\n",
            "Bipul Sharma \n",
            "Wickets :  8 \tMatches :  13 \tBalls :  184 \n",
            "MatchStats :  ['1/40-4', '1/10-2', '0/17-1', '0/18-2', '2/21-3', '1/17-2', '1/4-1', '0/24-4', '0/20-3', '1/31-4', '0/10-2', '1/40-4', '0/2-1'] \n",
            "MatchIndex :  [5.0, 2.5, 17.0, 9.0, 2.3333333333333335, 4.25, 2.0, 6.0, 6.666666666666667, 3.875, 5.0, 5.0, 2.0] \n",
            "AvgIndex 5.4326923076923075 \n",
            "AvgIndex2 3.3753413746017293\n",
            "\n",
            "YK Pathan \n",
            "Wickets :  3 \tMatches :  10 \tBalls :  80 \n",
            "MatchStats :  ['1/6-2', '0/6-1', '0/4-1', '0/17-3', '0/15-1', '1/2-1', '0/17-1', '0/7-1', '0/8-1', '1/14-2'] \n",
            "MatchIndex :  [1.5, 6.0, 4.0, 5.666666666666667, 15.0, 1.0, 17.0, 7.0, 8.0, 3.5] \n",
            "AvgIndex 6.866666666666667 \n",
            "AvgIndex2 2.128666666666667\n",
            "\n",
            "VR Aaron \n",
            "Wickets :  13 \tMatches :  22 \tBalls :  412 \n",
            "MatchStats :  ['0/37-5', '0/27-4', '0/35-5', '0/31-3', '0/25-3', '2/37-5', '0/20-3', '0/17-2', '2/22-4', '1/23-3', '2/46-5', '2/3-2', '0/32-5', '0/44-4', '0/16-1', '2/24-4', '2/40-5', '0/23-1', '0/25-3', '0/25-3', '0/47-5', '0/24-2'] \n",
            "MatchIndex :  [7.4, 6.75, 7.0, 10.333333333333334, 8.333333333333334, 2.466666666666667, 6.666666666666667, 8.5, 1.8333333333333333, 3.8333333333333335, 3.066666666666667, 0.5, 6.4, 11.0, 16.0, 2.0, 2.6666666666666665, 23.0, 8.333333333333334, 8.333333333333334, 9.4, 12.0] \n",
            "AvgIndex 7.537121212121213 \n",
            "AvgIndex2 4.469326008014025\n",
            "\n",
            "KW Richardson \n",
            "Wickets :  8 \tMatches :  4 \tBalls :  86 \n",
            "MatchStats :  ['1/26-3', '4/13-3', '1/54-5', '2/45-4'] \n",
            "MatchIndex :  [4.333333333333333, 0.8666666666666667, 5.4, 3.75] \n",
            "AvgIndex 3.5875 \n",
            "AvgIndex2 7.399218749999999\n",
            "\n",
            "Iqbal Abdulla \n",
            "Wickets :  9 \tMatches :  10 \tBalls :  189 \n",
            "MatchStats :  ['3/40-5', '0/22-4', '0/41-5', '0/27-3', '2/24-5', '0/14-2', '2/38-5', '0/10-1', '2/36-4', '0/19-3'] \n",
            "MatchIndex :  [2.0, 5.5, 8.2, 9.0, 1.6, 7.0, 2.533333333333333, 10.0, 3.0, 6.333333333333333] \n",
            "AvgIndex 5.516666666666667 \n",
            "AvgIndex2 5.020166666666666\n",
            "\n",
            "STR Binny \n",
            "Wickets :  6 \tMatches :  21 \tBalls :  198 \n",
            "MatchStats :  ['0/8-1', '0/23-2', '1/17-2', '0/17-2', '0/16-3', '0/2-1', '0/13-2', '0/8-1', '0/11-1', '0/15-3', '0/4-1', '1/10-1', '1/14-3', '1/9-1', '1/17-2', '0/6-1', '0/33-3', '1/19-3', '0/3-1', '0/10-2', '0/6-1'] \n",
            "MatchIndex :  [8.0, 11.5, 4.25, 8.5, 5.333333333333333, 2.0, 6.5, 8.0, 11.0, 5.0, 4.0, 5.0, 2.3333333333333335, 4.5, 4.25, 6.0, 11.0, 3.1666666666666665, 3.0, 5.0, 6.0] \n",
            "AvgIndex 5.920634920634921 \n",
            "AvgIndex2 1.7050354533347731\n",
            "\n",
            "DJ Hooda \n",
            "Wickets :  6 \tMatches :  14 \tBalls :  142 \n",
            "MatchStats :  ['1/22-3', '0/30-5', '0/5-1', '0/16-2', '2/16-2', '0/8-1', '1/7-1', '1/18-2', '0/17-1', '0/8-1', '0/17-3', '0/8-1', '1/13-2', '0/10-1'] \n",
            "MatchIndex :  [3.6666666666666665, 6.0, 5.0, 8.0, 2.6666666666666665, 8.0, 3.5, 4.5, 17.0, 8.0, 5.666666666666667, 8.0, 3.25, 10.0] \n",
            "AvgIndex 6.660714285714286 \n",
            "AvgIndex2 2.888575072886297\n",
            "\n",
            "DW Steyn \n",
            "Wickets :  5 \tMatches :  6 \tBalls :  136 \n",
            "MatchStats :  ['0/17-3', '2/44-4', '2/30-4', '1/33-4', '0/57-5', '0/44-5'] \n",
            "MatchIndex :  [5.666666666666667, 3.6666666666666665, 2.5, 4.125, 11.4, 8.8] \n",
            "AvgIndex 6.026388888888889 \n",
            "AvgIndex2 5.189390432098766\n",
            "\n",
            "SK Raina \n",
            "Wickets :  1 \tMatches :  11 \tBalls :  139 \n",
            "MatchStats :  ['0/16-3', '0/18-2', '0/35-4', '0/15-2', '0/24-2', '0/9-1', '1/11-2', '0/6-1', '0/28-4', '0/24-2', '0/6-1'] \n",
            "MatchIndex :  [5.333333333333333, 9.0, 8.75, 7.5, 12.0, 9.0, 2.75, 6.0, 7.0, 12.0, 6.0] \n",
            "AvgIndex 7.757575757575757 \n",
            "AvgIndex2 0.7693463561232156\n",
            "\n",
            "T Shamsi \n",
            "Wickets :  3 \tMatches :  4 \tBalls :  96 \n",
            "MatchStats :  ['1/37-4', '1/23-4', '1/39-4', '0/52-4'] \n",
            "MatchIndex :  [4.625, 2.875, 4.875, 13.0] \n",
            "AvgIndex 6.34375 \n",
            "AvgIndex2 5.154296875\n",
            "\n",
            "KA Pollard \n",
            "Wickets :  4 \tMatches :  16 \tBalls :  187 \n",
            "MatchStats :  ['0/11-1', '0/25-2', '0/23-3', '0/23-1', '0/30-2', '1/21-4', '0/13-1', '0/20-4', '1/24-2', '0/10-1', '0/26-3', '0/4-1', '0/18-3', '1/5-1', '1/36-5', '0/13-2'] \n",
            "MatchIndex :  [11.0, 12.5, 7.666666666666667, 23.0, 15.0, 2.625, 13.0, 5.0, 6.0, 10.0, 8.666666666666666, 4.0, 6.0, 2.5, 3.6, 6.5] \n",
            "AvgIndex 8.566145833333334 \n",
            "AvgIndex2 2.1749979654947915\n",
            "\n",
            "Imran Tahir \n",
            "Wickets :  57 \tMatches :  42 \tBalls :  963 \n",
            "MatchStats :  ['0/29-4', '3/26-4', '2/27-5', '0/59-4', '3/28-4', '2/29-4', '1/25-5', '1/53-4', '1/27-5', '1/23-4', '1/32-4', '0/48-4', '3/18-4', '4/27-4', '1/36-4', '1/24-5', '3/9-4', '1/20-2', '2/23-4', '1/25-4', '0/20-4', '2/21-4', '0/28-4', '4/27-5', '2/20-4', '1/23-2', '0/27-4', '2/34-4', '1/44-5', '2/35-4', '0/30-3', '1/31-4', '0/38-4', '1/38-4', '4/12-4', '0/40-4', '2/33-5', '1/32-4', '2/23-3', '0/24-3', '0/30-4', '1/24-4'] \n",
            "MatchIndex :  [7.25, 1.625, 1.8, 14.75, 1.75, 2.4166666666666665, 2.5, 6.625, 2.7, 2.875, 4.0, 12.0, 1.125, 1.35, 4.5, 2.4, 0.5625, 5.0, 1.9166666666666667, 3.125, 5.0, 1.75, 7.0, 1.08, 1.6666666666666667, 5.75, 6.75, 2.8333333333333335, 4.4, 2.9166666666666665, 10.0, 3.875, 9.5, 4.75, 0.6, 10.0, 2.2, 4.0, 2.5555555555555554, 8.0, 7.5, 3.0] \n",
            "AvgIndex 4.4142394179894175 \n",
            "AvgIndex2 5.993255899140961\n",
            "\n",
            "R Dhawan \n",
            "Wickets :  2 \tMatches :  2 \tBalls :  45 \n",
            "MatchStats :  ['1/35-5', '1/21-4'] \n",
            "MatchIndex :  [3.5, 2.625] \n",
            "AvgIndex 3.0625 \n",
            "AvgIndex2 3.828125\n",
            "\n",
            "R Sathish \n",
            "Wickets :  2 \tMatches :  3 \tBalls :  38 \n",
            "MatchStats :  ['2/20-3', '0/30-3', '0/9-1'] \n",
            "MatchIndex :  [2.2222222222222223, 10.0, 9.0] \n",
            "AvgIndex 7.0740740740740735 \n",
            "AvgIndex2 5.502057613168724\n",
            "\n",
            "JA Morkel \n",
            "Wickets :  3 \tMatches :  2 \tBalls :  34 \n",
            "MatchStats :  ['3/36-4', '0/30-3'] \n",
            "MatchIndex :  [2.25, 10.0] \n",
            "AvgIndex 6.125 \n",
            "AvgIndex2 10.71875\n",
            "\n",
            "AB Dinda \n",
            "Wickets :  15 \tMatches :  12 \tBalls :  257 \n",
            "MatchStats :  ['4/27-5', '3/40-5', '1/34-4', '1/34-5', '0/26-4', '0/26-5', '0/13-1', '3/20-4', '1/16-3', '1/58-5', '1/26-3', '0/37-4'] \n",
            "MatchIndex :  [1.08, 2.0, 4.25, 3.4, 6.5, 5.2, 13.0, 1.25, 2.6666666666666665, 5.8, 4.333333333333333, 9.25] \n",
            "AvgIndex 4.894166666666666 \n",
            "AvgIndex2 6.151695601851851\n",
            "\n",
            "S Nadeem \n",
            "Wickets :  23 \tMatches :  27 \tBalls :  484 \n",
            "MatchStats :  ['0/32-4', '2/23-4', '1/30-4', '0/42-4', '1/13-5', '1/23-5', '2/13-2', '0/9-1', '0/28-2', '1/21-3', '1/12-3', '1/36-3', '1/24-2', '3/34-4', '0/22-3', '1/43-4', '1/27-2', '0/14-1', '0/22-2', '1/31-4', '0/29-4', '0/9-1', '1/8-2', '1/35-4', '2/19-4', '2/30-5', '0/49-5'] \n",
            "MatchIndex :  [8.0, 1.9166666666666667, 3.75, 10.5, 1.3, 2.3, 2.1666666666666665, 9.0, 14.0, 3.5, 2.0, 6.0, 6.0, 2.125, 7.333333333333333, 5.375, 6.75, 14.0, 11.0, 3.875, 7.25, 9.0, 2.0, 4.375, 1.5833333333333333, 2.0, 9.8] \n",
            "AvgIndex 5.811111111111111 \n",
            "AvgIndex2 4.958177107148301\n",
            "\n",
            "JP Duminy \n",
            "Wickets :  2 \tMatches :  7 \tBalls :  61 \n",
            "MatchStats :  ['1/4-1', '0/14-2', '0/9-1', '0/19-3', '1/9-1', '0/28-2', '0/8-1'] \n",
            "MatchIndex :  [2.0, 7.0, 9.0, 6.333333333333333, 4.5, 14.0, 8.0] \n",
            "AvgIndex 7.261904761904761 \n",
            "AvgIndex2 2.223032069970845\n",
            "\n",
            "DR Smith \n",
            "Wickets :  10 \tMatches :  17 \tBalls :  195 \n",
            "MatchStats :  ['0/26-2', '0/12-2', '1/15-3', '0/13-1', '4/8-5', '2/37-5', '0/14-1', '1/29-2', '0/23-1', '1/10-2', '0/13-2', '0/17-2', '0/14-3', '1/18-1', '0/27-4', '0/12-1', '0/17-1'] \n",
            "MatchIndex :  [13.0, 6.0, 2.5, 13.0, 0.32, 2.466666666666667, 14.0, 7.25, 23.0, 2.5, 6.5, 8.5, 4.666666666666667, 9.0, 6.75, 12.0, 17.0] \n",
            "AvgIndex 8.732549019607843 \n",
            "AvgIndex2 5.167009973539589\n",
            "\n",
            "JD Unadkat \n",
            "Wickets :  55 \tMatches :  46 \tBalls :  988 \n",
            "MatchStats :  ['0/49-4', '2/25-5', '1/42-4', '3/41-5', '1/27-4', '1/20-5', '4/31-4', '2/28-4', '5/30-4', '3/29-4', '2/12-3', '1/24-4', '2/21-4', '0/44-4', '1/26-4', '1/54-5', '2/23-3', '1/36-5', '1/49-4', '1/28-4', '1/24-2', '0/35-3', '0/34-3', '0/39-4', '2/31-4', '1/33-3', '3/46-4', '0/26-5', '1/36-5', '0/34-5', '1/37-5', '0/23-3', '2/27-4', '0/33-2', '1/51-5', '0/36-4', '1/50-5', '2/26-4', '1/9-1', '0/44-5', '0/30-4', '1/15-2', '0/31-3', '2/31-5', '2/32-3', '0/46-5'] \n",
            "MatchIndex :  [12.25, 1.6666666666666667, 5.25, 2.05, 3.375, 2.0, 1.55, 2.3333333333333335, 1.25, 1.8125, 1.3333333333333333, 3.0, 1.75, 11.0, 3.25, 5.4, 2.5555555555555554, 3.6, 6.125, 3.5, 6.0, 11.666666666666666, 11.333333333333334, 9.75, 2.5833333333333335, 5.5, 2.875, 5.2, 3.6, 6.8, 3.7, 7.666666666666667, 2.25, 16.5, 5.1, 9.0, 5.0, 2.1666666666666665, 4.5, 8.8, 7.5, 3.75, 10.333333333333334, 2.066666666666667, 3.5555555555555554, 9.2] \n",
            "AvgIndex 5.248882850241545 \n",
            "AvgIndex2 6.278318758960941\n",
            "\n",
            "S Kaushik \n",
            "Wickets :  6 \tMatches :  10 \tBalls :  210 \n",
            "MatchStats :  ['0/32-4', '3/20-5', '1/29-4', '0/28-5', '0/14-1', '0/50-4', '2/22-4', '0/44-4', '0/29-5', '0/36-4'] \n",
            "MatchIndex :  [8.0, 1.0, 3.625, 5.6, 14.0, 12.5, 1.8333333333333333, 11.0, 5.8, 9.0] \n",
            "AvgIndex 7.235833333333334 \n",
            "AvgIndex2 4.413858333333334\n",
            "\n",
            "JO Holder \n",
            "Wickets :  18 \tMatches :  11 \tBalls :  259 \n",
            "MatchStats :  ['0/36-5', '0/14-3', '0/22-4', '3/33-5', '4/33-5', '2/28-5', '1/50-5', '2/28-5', '2/25-4', '3/25-5', '1/50-4'] \n",
            "MatchIndex :  [7.2, 4.666666666666667, 5.5, 1.65, 1.32, 1.8666666666666667, 5.0, 1.8666666666666667, 2.0833333333333335, 1.25, 6.25] \n",
            "AvgIndex 3.513939393939394 \n",
            "AvgIndex2 5.779123466065615\n",
            "\n",
            "KC Cariappa \n",
            "Wickets :  7 \tMatches :  10 \tBalls :  212 \n",
            "MatchStats :  ['0/15-3', '1/38-5', '2/16-3', '0/36-5', '0/55-4', '1/23-4', '1/38-5', '2/24-4', '0/42-5', '0/34-3'] \n",
            "MatchIndex :  [5.0, 3.8, 1.7777777777777777, 7.2, 13.75, 2.875, 3.8, 2.0, 8.4, 11.333333333333334] \n",
            "AvgIndex 5.993611111111111 \n",
            "AvgIndex2 4.2554638888888885\n",
            "\n",
            "Gurkeerat Singh \n",
            "Wickets :  2 \tMatches :  3 \tBalls :  26 \n",
            "MatchStats :  ['0/8-2', '0/8-1', '2/15-3'] \n",
            "MatchIndex :  [4.0, 8.0, 1.6666666666666667] \n",
            "AvgIndex 4.555555555555555 \n",
            "AvgIndex2 3.54320987654321\n",
            "\n",
            "SM Boland \n",
            "Wickets :  3 \tMatches :  2 \tBalls :  43 \n",
            "MatchStats :  ['0/25-4', '3/31-4'] \n",
            "MatchIndex :  [6.25, 1.9375] \n",
            "AvgIndex 4.09375 \n",
            "AvgIndex2 7.1640625\n",
            "\n",
            "Swapnil Singh \n",
            "Wickets :  1 \tMatches :  5 \tBalls :  61 \n",
            "MatchStats :  ['0/29-3', '1/14-2', '0/22-2', '0/19-3', '0/6-1'] \n",
            "MatchIndex :  [9.666666666666666, 3.5, 11.0, 6.333333333333333, 6.0] \n",
            "AvgIndex 7.3 \n",
            "AvgIndex2 1.7519999999999998\n",
            "\n",
            "Yuvraj Singh \n",
            "Wickets :  2 \tMatches :  9 \tBalls :  63 \n",
            "MatchStats :  ['0/13-3', '0/10-1', '0/11-2', '0/11-1', '0/7-1', '2/7-1', '0/16-1', '0/10-2', '0/13-1'] \n",
            "MatchIndex :  [4.333333333333333, 10.0, 5.5, 11.0, 7.0, 2.3333333333333335, 16.0, 5.0, 13.0] \n",
            "AvgIndex 8.24074074074074 \n",
            "AvgIndex2 1.9330132601737542\n",
            "\n",
            "CJ Jordan \n",
            "Wickets :  25 \tMatches :  20 \tBalls :  415 \n",
            "MatchStats :  ['2/43-5', '0/52-5', '0/37-4', '4/12-4', '0/22-4', '0/12-1', '1/10-3', '3/31-5', '3/47-5', '1/10-2', '0/35-5', '1/56-5', '0/42-3', '1/38-5', '1/21-4', '1/32-3', '3/17-5', '2/27-5', '1/45-4', '1/31-3'] \n",
            "MatchIndex :  [2.8666666666666667, 10.4, 9.25, 0.6, 5.5, 12.0, 1.6666666666666667, 1.55, 2.35, 2.5, 7.0, 5.6, 14.0, 3.8, 2.625, 5.333333333333333, 0.85, 1.8, 5.625, 5.166666666666667] \n",
            "AvgIndex 5.024166666666666 \n",
            "AvgIndex2 6.29276875\n",
            "\n",
            "A Zampa \n",
            "Wickets :  21 \tMatches :  14 \tBalls :  292 \n",
            "MatchStats :  ['2/36-4', '6/19-4', '0/9-2', '3/21-4', '1/32-4', '1/27-4', '1/45-4', '1/29-5', '2/22-4', '0/9-1', '2/32-5', '1/53-4', '0/27-3', '1/12-5'] \n",
            "MatchIndex :  [3.0, 0.6785714285714286, 4.5, 1.3125, 4.0, 3.375, 5.625, 2.9, 1.8333333333333333, 9.0, 2.1333333333333333, 6.625, 9.0, 1.2] \n",
            "AvgIndex 3.9416241496598645 \n",
            "AvgIndex2 5.93254655178398\n",
            "\n",
            "Anureet Singh \n",
            "Wickets :  3 \tMatches :  6 \tBalls :  74 \n",
            "MatchStats :  ['0/15-3', '1/29-4', '0/26-2', '1/20-2', '1/12-1', '0/10-1'] \n",
            "MatchIndex :  [5.0, 3.625, 13.0, 5.0, 6.0, 10.0] \n",
            "AvgIndex 7.104166666666667 \n",
            "AvgIndex2 3.7494212962962963\n",
            "\n",
            "V Kohli \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  8 \n",
            "MatchStats :  ['0/13-2'] \n",
            "MatchIndex :  [6.5] \n",
            "AvgIndex 6.5 \n",
            "AvgIndex2 6.5\n",
            "\n",
            "CH Gayle \n",
            "Wickets :  2 \tMatches :  5 \tBalls :  70 \n",
            "MatchStats :  ['0/3-3', '0/26-3', '2/12-3', '0/24-4', '0/5-1'] \n",
            "MatchIndex :  [1.0, 8.666666666666666, 1.3333333333333333, 6.0, 5.0] \n",
            "AvgIndex 4.4 \n",
            "AvgIndex2 1.9360000000000004\n",
            "\n",
            "Sachin Baby \n",
            "Wickets :  3 \tMatches :  2 \tBalls :  10 \n",
            "MatchStats :  ['2/4-1', '1/4-1'] \n",
            "MatchIndex :  [1.3333333333333333, 2.0] \n",
            "AvgIndex 1.6666666666666665 \n",
            "AvgIndex2 2.9166666666666665\n",
            "\n",
            "AS Rajpoot \n",
            "Wickets :  23 \tMatches :  27 \tBalls :  542 \n",
            "MatchStats :  ['1/15-3', '0/28-4', '1/36-4', '1/22-3', '3/37-5', '0/26-4', '0/20-2', '1/16-3', '0/14-2', '2/34-5', '0/24-5', '1/52-5', '0/33-4', '2/23-5', '5/15-4', '0/31-3', '1/41-3', '0/21-2', '1/47-5', '2/19-5', '0/47-5', '1/40-5', '1/41-5', '0/42-4', '0/8-1', '0/11-2', '0/64-5'] \n",
            "MatchIndex :  [2.5, 7.0, 4.5, 3.6666666666666665, 1.85, 6.5, 10.0, 2.6666666666666665, 7.0, 2.2666666666666666, 4.8, 5.2, 8.25, 1.5333333333333334, 0.625, 10.333333333333334, 6.833333333333333, 10.5, 4.7, 1.2666666666666666, 9.4, 4.0, 4.1, 10.5, 8.0, 5.5, 12.8] \n",
            "AvgIndex 5.78858024691358 \n",
            "AvgIndex2 4.938953242222561\n",
            "\n",
            "BCJ Cutting \n",
            "Wickets :  10 \tMatches :  16 \tBalls :  264 \n",
            "MatchStats :  ['0/11-2', '1/14-3', '2/20-3', '2/35-5', '1/35-4', '0/29-3', '0/18-2', '1/41-5', '1/27-2', '0/40-5', '0/14-2', '1/28-3', '0/23-2', '1/12-2', '0/15-1', '0/37-5'] \n",
            "MatchIndex :  [5.5, 2.3333333333333335, 2.2222222222222223, 2.3333333333333335, 4.375, 9.666666666666666, 9.0, 4.1, 6.75, 8.0, 7.0, 4.666666666666667, 11.5, 3.0, 15.0, 7.4] \n",
            "AvgIndex 6.427951388888889 \n",
            "AvgIndex2 4.042578803168404\n",
            "\n",
            "M Vijay \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  7 \n",
            "MatchStats :  ['0/8-2'] \n",
            "MatchIndex :  [4.0] \n",
            "AvgIndex 4.0 \n",
            "AvgIndex2 4.0\n",
            "\n",
            "N Rana \n",
            "Wickets :  7 \tMatches :  14 \tBalls :  107 \n",
            "MatchStats :  ['0/3-1', '0/9-1', '0/9-1', '1/22-3', '1/12-2', '2/11-1', '2/11-2', '0/0-1', '0/17-3', '0/5-1', '0/13-1', '1/8-1', '0/7-1', '0/16-2'] \n",
            "MatchIndex :  [3.0, 9.0, 9.0, 3.6666666666666665, 3.0, 3.6666666666666665, 1.8333333333333333, 0.0, 5.666666666666667, 5.0, 13.0, 4.0, 7.0, 8.0] \n",
            "AvgIndex 5.416666666666667 \n",
            "AvgIndex2 2.735969387755102\n",
            "\n",
            "DL Chahar \n",
            "Wickets :  45 \tMatches :  48 \tBalls :  1046 \n",
            "MatchStats :  ['0/13-2', '0/29-4', '0/21-2', '1/36-4', '0/18-2', '0/17-5', '1/20-5', '2/19-5', '1/22-3', '1/40-5', '3/21-5', '2/34-4', '0/36-4', '1/31-3', '1/14-3', '0/18-2', '0/37-4', '2/30-5', '3/15-4', '0/20-2', '0/19-3', '1/18-5', '1/23-4', '1/31-5', '1/31-5', '0/25-5', '2/26-5', '1/30-5', '1/46-5', '1/32-3', '0/28-4', '1/30-4', '2/28-5', '3/26-5', '2/32-5', '1/32-4', '0/38-5', '2/31-5', '0/18-3', '0/47-5', '1/10-4', '0/28-5', '2/19-4', '2/19-4', '0/34-4', '2/33-4', '0/31-3', '0/30-3'] \n",
            "MatchIndex :  [6.5, 7.25, 10.5, 4.5, 9.0, 3.4, 2.0, 1.2666666666666666, 3.6666666666666665, 4.0, 1.05, 2.8333333333333335, 9.0, 5.166666666666667, 2.3333333333333335, 9.0, 9.25, 2.0, 0.9375, 10.0, 6.333333333333333, 1.8, 2.875, 3.1, 3.1, 5.0, 1.7333333333333334, 3.0, 4.6, 5.333333333333333, 7.0, 3.75, 1.8666666666666667, 1.3, 2.1333333333333333, 4.0, 7.6, 2.066666666666667, 6.0, 9.4, 1.25, 5.6, 1.5833333333333333, 1.5833333333333333, 8.5, 2.75, 10.333333333333334, 10.0] \n",
            "AvgIndex 4.734288194444445 \n",
            "AvgIndex2 4.440449994876062\n",
            "\n",
            "KS Williamson \n",
            "Wickets :  0 \tMatches :  2 \tBalls :  18 \n",
            "MatchStats :  ['0/7-1', '0/24-2'] \n",
            "MatchIndex :  [7.0, 12.0] \n",
            "AvgIndex 9.5 \n",
            "AvgIndex2 2.375\n",
            "\n",
            "TA Boult \n",
            "Wickets :  57 \tMatches :  41 \tBalls :  971 \n",
            "MatchStats :  ['1/39-5', '1/41-5', '0/50-4', '0/36-4', '1/33-4', '2/31-5', '1/31-5', '1/42-5', '1/34-4', '1/26-3', '2/44-5', '2/29-4', '1/33-4', '2/23-4', '2/44-5', '1/49-4', '3/26-4', '0/30-5', '0/43-4', '2/40-4', '2/21-4', '1/34-5', '0/37-5', '2/27-5', '1/37-4', '1/20-4', '1/23-4', '2/30-4', '2/35-4', '1/42-4', '2/28-4', '2/26-4', '1/36-5', '1/32-5', '1/48-5', '4/18-5', '0/40-4', '1/40-5', '3/21-4', '2/9-2', '3/30-4'] \n",
            "MatchIndex :  [3.9, 4.1, 12.5, 9.0, 4.125, 2.066666666666667, 3.1, 4.2, 4.25, 4.333333333333333, 2.933333333333333, 2.4166666666666665, 4.125, 1.9166666666666667, 2.933333333333333, 6.125, 1.625, 6.0, 10.75, 3.3333333333333335, 1.75, 3.4, 7.4, 1.8, 4.625, 2.5, 2.875, 2.5, 2.9166666666666665, 5.25, 2.3333333333333335, 2.1666666666666665, 3.6, 3.2, 4.8, 0.72, 10.0, 4.0, 1.3125, 1.5, 1.875] \n",
            "AvgIndex 4.006280487804878 \n",
            "AvgIndex2 5.572090291783345\n",
            "\n",
            "TS Mills \n",
            "Wickets :  5 \tMatches :  5 \tBalls :  111 \n",
            "MatchStats :  ['1/32-5', '1/33-4', '1/24-2', '0/37-4', '2/31-5'] \n",
            "MatchIndex :  [3.2, 4.125, 6.0, 9.25, 2.066666666666667] \n",
            "AvgIndex 4.928333333333333 \n",
            "AvgIndex2 5.125466666666666\n",
            "\n",
            "A Choudhary \n",
            "Wickets :  5 \tMatches :  5 \tBalls :  108 \n",
            "MatchStats :  ['1/55-5', '0/21-3', '1/32-5', '2/17-4', '1/19-3'] \n",
            "MatchIndex :  [5.5, 7.0, 3.2, 1.4166666666666667, 3.1666666666666665] \n",
            "AvgIndex 4.056666666666667 \n",
            "AvgIndex2 4.218933333333334\n",
            "\n",
            "TM Head \n",
            "Wickets :  3 \tMatches :  5 \tBalls :  48 \n",
            "MatchStats :  ['0/11-1', '1/18-2', '0/11-1', '0/11-2', '2/30-3'] \n",
            "MatchIndex :  [11.0, 4.5, 11.0, 5.5, 3.3333333333333335] \n",
            "AvgIndex 7.066666666666667 \n",
            "AvgIndex2 4.522666666666667\n",
            "\n",
            "Rashid Khan \n",
            "Wickets :  80 \tMatches :  62 \tBalls :  1490 \n",
            "MatchStats :  ['2/36-4', '3/19-4', '1/20-4', '1/29-4', '2/45-5', '0/35-4', '2/17-4', '1/18-4', '1/38-5', '0/25-4', '1/19-4', '1/22-4', '3/34-4', '0/11-3', '1/27-4', '1/24-4', '1/25-4', '1/19-4', '2/27-5', '1/20-4', '1/23-4', '2/17-4', '1/24-4', '1/17-5', '0/31-4', '1/55-4', '1/49-4', '2/11-4', '3/19-4', '1/31-4', '3/23-4', '1/31-5', '1/36-4', '0/25-4', '3/27-4', '0/31-4', '2/11-4', '3/19-4', '0/26-4', '1/23-4', '1/48-5', '1/30-4', '3/21-4', '0/23-4', '1/45-5', '2/15-5', '0/32-4', '1/25-4', '3/15-4', '0/13-4', '1/22-5', '3/12-4', '2/29-4', '0/30-4', '1/28-4', '1/20-4', '2/14-4', '3/7-4', '1/24-5', '1/33-4', '0/22-4', '1/26-4'] \n",
            "MatchIndex :  [3.0, 1.1875, 2.5, 3.625, 3.0, 8.75, 1.4166666666666667, 2.25, 3.8, 6.25, 2.375, 2.75, 2.125, 3.6666666666666665, 3.375, 3.0, 3.125, 2.375, 1.8, 2.5, 2.875, 1.4166666666666667, 3.0, 1.7, 7.75, 6.875, 6.125, 0.9166666666666666, 1.1875, 3.875, 1.4375, 3.1, 4.5, 6.25, 1.6875, 7.75, 0.9166666666666666, 1.1875, 6.5, 2.875, 4.8, 3.75, 1.3125, 5.75, 4.5, 1.0, 8.0, 3.125, 0.9375, 3.25, 2.2, 0.75, 2.4166666666666665, 7.5, 3.5, 2.5, 1.1666666666666667, 0.4375, 2.4, 4.125, 5.5, 3.25] \n",
            "AvgIndex 3.338172043010753 \n",
            "AvgIndex2 4.3081871762165305\n",
            "\n",
            "BA Stokes \n",
            "Wickets :  31 \tMatches :  36 \tBalls :  711 \n",
            "MatchStats :  ['1/36-5', '0/32-5', '1/41-4', '0/18-4', '3/20-5', '0/19-2', '2/23-5', '0/37-4', '1/28-4', '3/30-5', '2/33-5', '1/10-4', '2/53-5', '1/41-3', '1/30-3', '0/29-3', '0/7-1', '2/40-4', '0/21-3', '1/33-4', '0/25-4', '0/39-3', '0/31-4', '0/20-3', '0/29-4', '1/22-3', '1/13-2', '1/31-5', '2/27-5', '3/16-5', '0/7-1', '0/24-3', '0/29-3', '0/25-3', '2/33-5', '0/41-3'] \n",
            "MatchIndex :  [3.6, 6.4, 5.125, 4.5, 1.0, 9.5, 1.5333333333333334, 9.25, 3.5, 1.5, 2.2, 1.25, 3.533333333333333, 6.833333333333333, 5.0, 9.666666666666666, 7.0, 3.3333333333333335, 7.0, 4.125, 6.25, 13.0, 7.75, 6.666666666666667, 7.25, 3.6666666666666665, 3.25, 3.1, 1.8, 0.8, 7.0, 8.0, 9.666666666666666, 8.333333333333334, 2.2, 13.666666666666666] \n",
            "AvgIndex 5.506944444444444 \n",
            "AvgIndex2 4.746340234910837\n",
            "\n",
            "CR Woakes \n",
            "Wickets :  26 \tMatches :  18 \tBalls :  396 \n",
            "MatchStats :  ['0/36-3', '1/36-5', '2/30-4', '2/50-5', '1/32-4', '1/20-2', '3/6-3', '0/38-4', '0/20-3', '2/46-5', '3/19-4', '1/39-5', '2/21-5', '3/36-5', '2/36-4', '2/48-5', '1/31-4', '0/45-4'] \n",
            "MatchIndex :  [12.0, 3.6, 2.5, 3.3333333333333335, 4.0, 5.0, 0.5, 9.5, 6.666666666666667, 3.066666666666667, 1.1875, 3.9, 1.4, 1.8, 3.0, 3.2, 3.875, 11.25] \n",
            "AvgIndex 4.432175925925926 \n",
            "AvgIndex2 6.415711448331048\n",
            "\n",
            "MS Gony \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  15 \n",
            "MatchStats :  ['0/32-3'] \n",
            "MatchIndex :  [10.666666666666666] \n",
            "AvgIndex 10.666666666666666 \n",
            "AvgIndex2 10.666666666666666\n",
            "\n",
            "PJ Cummins \n",
            "Wickets :  28 \tMatches :  26 \tBalls :  610 \n",
            "MatchStats :  ['1/30-5', '2/25-4', '2/24-4', '2/40-5', '0/38-5', '2/22-5', '0/22-3', '2/31-4', '0/65-5', '1/39-4', '2/35-5', '2/22-5', '0/49-4', '1/19-4', '1/15-3', '0/49-4', '0/26-5', '0/29-4', '0/39-5', '0/33-3', '1/32-4', '0/20-4', '3/17-4', '0/31-4', '2/31-5', '4/34-5'] \n",
            "MatchIndex :  [3.0, 2.0833333333333335, 2.0, 2.6666666666666665, 7.6, 1.4666666666666666, 7.333333333333333, 2.5833333333333335, 13.0, 4.875, 2.3333333333333335, 1.4666666666666666, 12.25, 2.375, 2.5, 12.25, 5.2, 7.25, 7.8, 11.0, 4.0, 5.0, 1.0625, 7.75, 2.066666666666667, 1.36] \n",
            "AvgIndex 5.087403846153847 \n",
            "AvgIndex2 5.486268348884844\n",
            "\n",
            "B Stanlake \n",
            "Wickets :  7 \tMatches :  6 \tBalls :  150 \n",
            "MatchStats :  ['2/29-5', '0/41-5', '1/29-5', '2/42-5', '2/21-4', '0/38-5'] \n",
            "MatchIndex :  [1.9333333333333333, 8.2, 2.9, 2.8, 1.75, 7.6] \n",
            "AvgIndex 4.197222222222222 \n",
            "AvgIndex2 5.013348765432099\n",
            "\n",
            "T Natarajan \n",
            "Wickets :  21 \tMatches :  22 \tBalls :  471 \n",
            "MatchStats :  ['1/26-3', '0/13-2', '0/22-4', '0/7-3', '0/15-1', '1/33-3', '1/34-4', '1/27-4', '1/29-5', '3/45-5', '0/30-4', '3/25-4', '1/32-4', '2/42-5', '2/42-5', '0/46-5', '0/24-5', '2/26-4', '1/13-4', '0/38-4', '2/33-4', '0/34-5'] \n",
            "MatchIndex :  [4.333333333333333, 6.5, 5.5, 2.3333333333333335, 15.0, 5.5, 4.25, 3.375, 2.9, 2.25, 7.5, 1.5625, 4.0, 2.8, 2.8, 9.2, 4.8, 2.1666666666666665, 1.625, 9.5, 2.75, 6.8] \n",
            "AvgIndex 4.883901515151515 \n",
            "AvgIndex2 4.671996697345355\n",
            "\n",
            "DT Christian \n",
            "Wickets :  16 \tMatches :  17 \tBalls :  320 \n",
            "MatchStats :  ['0/24-3', '0/27-5', '1/21-4', '1/6-1', '1/31-5', '1/25-4', '1/28-4', '2/23-3', '0/21-3', '1/18-2', '2/10-2', '0/34-5', '2/35-5', '1/12-2', '2/35-3', '1/22-3', '0/37-4'] \n",
            "MatchIndex :  [8.0, 5.4, 2.625, 3.0, 3.1, 3.125, 3.5, 2.5555555555555554, 7.0, 4.5, 1.6666666666666667, 6.8, 2.3333333333333335, 3.0, 3.888888888888889, 3.6666666666666665, 9.25] \n",
            "AvgIndex 4.318300653594771 \n",
            "AvgIndex2 4.079225184883642\n",
            "\n",
            "RD Chahar \n",
            "Wickets :  31 \tMatches :  30 \tBalls :  656 \n",
            "MatchStats :  ['1/33-5', '1/26-3', '0/11-3', '2/22-5', '0/27-4', '1/35-4', '0/31-4', '3/19-5', '3/29-4', '0/21-4', '1/54-5', '0/21-4', '0/12-1', '2/14-4', '1/14-4', '1/36-4', '2/26-4', '1/31-5', '2/27-5', '0/16-1', '1/24-4', '1/27-4', '2/19-4', '2/33-4', '2/25-4', '0/37-4', '1/43-5', '1/24-4', '0/36-4', '0/35-2'] \n",
            "MatchIndex :  [3.3, 4.333333333333333, 3.6666666666666665, 1.4666666666666666, 6.75, 4.375, 7.75, 0.95, 1.8125, 5.25, 5.4, 5.25, 12.0, 1.1666666666666667, 1.75, 4.5, 2.1666666666666665, 3.1, 1.8, 16.0, 3.0, 3.375, 1.5833333333333333, 2.75, 2.0833333333333335, 9.25, 4.3, 3.0, 9.0, 17.5] \n",
            "AvgIndex 4.954305555555555 \n",
            "AvgIndex2 5.124953858024692\n",
            "\n",
            "Tejas Baroka \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  21 \n",
            "MatchStats :  ['0/33-4'] \n",
            "MatchIndex :  [8.25] \n",
            "AvgIndex 8.25 \n",
            "AvgIndex2 8.25\n",
            "\n",
            "Basil Thampi \n",
            "Wickets :  21 \tMatches :  20 \tBalls :  437 \n",
            "MatchStats :  ['0/21-3', '0/21-3', '0/34-5', '1/31-4', '2/44-4', '1/45-5', '1/34-5', '4/29-4', '2/35-5', '1/41-5', '1/48-4', '2/45-4', '2/4-2', '2/15-3', '1/26-2', '0/70-5', '0/44-5', '0/29-4', '0/42-4', '1/46-4'] \n",
            "MatchIndex :  [7.0, 7.0, 6.8, 3.875, 3.6666666666666665, 4.5, 3.4, 1.45, 2.3333333333333335, 4.1, 6.0, 3.75, 0.6666666666666666, 1.6666666666666667, 6.5, 14.0, 8.8, 7.25, 10.5, 5.75] \n",
            "AvgIndex 5.450416666666667 \n",
            "AvgIndex2 5.736563541666667\n",
            "\n",
            "SL Malinga \n",
            "Wickets :  29 \tMatches :  24 \tBalls :  567 \n",
            "MatchStats :  ['2/36-5', '1/32-5', '1/51-5', '0/58-5', '2/33-5', '0/32-4', '2/6-2', '1/34-5', '0/45-5', '1/14-3', '1/26-4', '0/21-5', '0/47-5', '0/24-4', '3/34-5', '5/33-4', '1/41-5', '0/32-4', '4/37-4', '0/48-4', '0/44-4', '3/36-5', '0/27-4', '2/49-5'] \n",
            "MatchIndex :  [2.4, 3.2, 5.1, 11.6, 2.2, 8.0, 1.0, 3.4, 9.0, 2.3333333333333335, 3.25, 4.2, 9.4, 6.0, 1.7, 1.375, 4.1, 8.0, 1.85, 12.0, 11.0, 1.8, 6.75, 3.2666666666666666] \n",
            "AvgIndex 5.121875 \n",
            "AvgIndex2 6.197824435763889\n",
            "\n",
            "CJ Anderson \n",
            "Wickets :  9 \tMatches :  11 \tBalls :  177 \n",
            "MatchStats :  ['0/10-1', '1/23-3', '1/27-3', '1/36-4', '1/29-3', '0/19-3', '0/5-1', '0/38-5', '3/47-5', '1/11-1', '1/59-4'] \n",
            "MatchIndex :  [10.0, 3.8333333333333335, 4.5, 4.5, 4.833333333333333, 6.333333333333333, 5.0, 7.6, 2.35, 5.5, 7.375] \n",
            "AvgIndex 5.620454545454546 \n",
            "AvgIndex2 4.645003756574005\n",
            "\n",
            "C de Grandhomme \n",
            "Wickets :  7 \tMatches :  19 \tBalls :  230 \n",
            "MatchStats :  ['1/16-3', '0/12-1', '3/4-2', '0/14-2', '0/15-1', '0/7-1', '0/15-2', '0/37-5', '0/16-3', '0/27-4', '0/16-1', '1/29-4', '1/18-4', '0/8-2', '0/12-1', '1/8-3', '0/34-2', '0/23-3', '0/12-1'] \n",
            "MatchIndex :  [2.6666666666666665, 12.0, 0.5, 7.0, 15.0, 7.0, 7.5, 7.4, 5.333333333333333, 6.75, 16.0, 3.625, 2.25, 4.0, 12.0, 1.3333333333333333, 17.0, 7.666666666666667, 12.0] \n",
            "AvgIndex 7.738157894736841 \n",
            "AvgIndex2 2.872335617436944\n",
            "\n",
            "S Badree \n",
            "Wickets :  9 \tMatches :  7 \tBalls :  151 \n",
            "MatchStats :  ['4/10-5', '1/32-4', '1/33-4', '2/29-3', '1/31-4', '0/14-3', '0/42-3'] \n",
            "MatchIndex :  [0.4, 4.0, 4.125, 3.2222222222222223, 3.875, 4.666666666666667, 14.0] \n",
            "AvgIndex 4.898412698412699 \n",
            "AvgIndex2 6.397926789763525\n",
            "\n",
            "AJ Tye \n",
            "Wickets :  45 \tMatches :  27 \tBalls :  645 \n",
            "MatchStats :  ['5/18-5', '2/35-5', '0/35-4', '2/36-4', '3/13-4', '0/9-1', '1/37-4', '1/40-5', '0/38-5', '0/40-4', '1/39-5', '2/28-5', '2/47-5', '2/24-4', '2/30-5', '2/27-5', '0/28-4', '1/39-5', '3/25-4', '5/34-4', '4/41-5', '0/34-4', '4/16-5', '0/47-5', '1/41-4', '0/37-3', '2/54-5'] \n",
            "MatchIndex :  [0.6, 2.3333333333333335, 8.75, 3.0, 0.8125, 9.0, 4.625, 4.0, 7.6, 10.0, 3.9, 1.8666666666666667, 3.1333333333333333, 2.0, 2.0, 1.8, 7.0, 3.9, 1.5625, 1.4166666666666667, 1.64, 8.5, 0.64, 9.4, 5.125, 12.333333333333334, 3.6] \n",
            "AvgIndex 4.464382716049383 \n",
            "AvgIndex2 7.446761841860151\n",
            "\n",
            "LH Ferguson \n",
            "Wickets :  14 \tMatches :  14 \tBalls :  318 \n",
            "MatchStats :  ['0/45-5', '3/8-5', '1/22-4', '1/21-3', '0/36-4', '1/42-5', '1/38-5', '0/32-2', '0/37-4', '3/16-4', '2/17-5', '1/30-4', '1/34-4', '0/54-5'] \n",
            "MatchIndex :  [9.0, 0.4, 2.75, 3.5, 9.0, 4.2, 3.8, 16.0, 9.25, 1.0, 1.1333333333333333, 3.75, 4.25, 10.8] \n",
            "AvgIndex 5.6309523809523805 \n",
            "AvgIndex2 5.659681729834791\n",
            "\n",
            "SN Thakur \n",
            "Wickets :  49 \tMatches :  43 \tBalls :  927 \n",
            "MatchStats :  ['1/14-4', '3/35-4', '0/50-5', '0/29-4', '0/33-4', '1/26-4', '0/21-3', '0/12-2', '0/36-3', '3/19-5', '4/37-5', '1/7-3', '0/20-2', '2/43-5', '0/37-5', '2/44-5', '3/19-5', '0/31-4', '1/38-4', '2/33-3', '2/18-3', '1/45-5', '2/46-5', '0/38-5', '0/19-2', '1/22-5', '2/32-5', '1/27-4', '2/34-4', '2/50-5', '1/31-4', '0/41-5', '0/13-1', '2/37-4', '1/32-5', '2/39-5', '2/31-5', '2/41-5', '1/10-3', '1/39-4', '0/34-5', '0/26-3', '1/27-4'] \n",
            "MatchIndex :  [1.75, 2.1875, 10.0, 7.25, 8.25, 3.25, 7.0, 6.0, 12.0, 0.95, 1.48, 1.1666666666666667, 10.0, 2.8666666666666667, 7.4, 2.933333333333333, 0.95, 7.75, 4.75, 3.6666666666666665, 2.0, 4.5, 3.066666666666667, 7.6, 9.5, 2.2, 2.1333333333333333, 3.375, 2.8333333333333335, 3.3333333333333335, 3.875, 8.2, 13.0, 3.0833333333333335, 3.2, 2.6, 2.066666666666667, 2.7333333333333334, 1.6666666666666667, 4.875, 6.8, 8.666666666666666, 3.375] \n",
            "AvgIndex 4.797306201550386 \n",
            "AvgIndex2 5.469292305499304\n",
            "\n",
            "MM Patel \n",
            "Wickets :  1 \tMatches :  2 \tBalls :  42 \n",
            "MatchStats :  ['1/36-4', '0/22-3'] \n",
            "MatchIndex :  [4.5, 7.333333333333333] \n",
            "AvgIndex 5.916666666666666 \n",
            "AvgIndex2 4.4375\n",
            "\n",
            "AD Mathews \n",
            "Wickets :  0 \tMatches :  2 \tBalls :  31 \n",
            "MatchStats :  ['0/16-2', '0/41-4'] \n",
            "MatchIndex :  [8.0, 10.25] \n",
            "AvgIndex 9.125 \n",
            "AvgIndex2 2.28125\n",
            "\n",
            "S Kaul \n",
            "Wickets :  48 \tMatches :  35 \tBalls :  818 \n",
            "MatchStats :  ['1/26-5', '1/32-4', '0/45-3', '3/36-5', '2/26-4', '1/38-5', '4/30-5', '3/24-4', '1/32-5', '0/14-1', '1/35-4', '0/32-5', '0/16-4', '2/35-5', '2/34-5', '1/42-4', '3/18-5', '2/29-5', '1/38-4', '1/33-4', '1/33-5', '3/24-4', '1/26-4', '2/24-4', '1/38-5', '1/26-4', '0/48-4', '0/40-3', '2/46-4', '2/27-5', '2/33-5', '2/32-4', '0/43-3', '0/49-5', '2/64-5'] \n",
            "MatchIndex :  [2.6, 4.0, 15.0, 1.8, 2.1666666666666665, 3.8, 1.2, 1.5, 3.2, 14.0, 4.375, 6.4, 4.0, 2.3333333333333335, 2.2666666666666666, 5.25, 0.9, 1.9333333333333333, 4.75, 4.125, 3.3, 1.5, 3.25, 2.0, 3.8, 3.25, 12.0, 13.333333333333334, 3.8333333333333335, 1.8, 2.2, 2.6666666666666665, 14.333333333333334, 9.8, 4.266666666666667] \n",
            "AvgIndex 4.76952380952381 \n",
            "AvgIndex2 6.544954713313898\n",
            "\n",
            "Mohammad Nabi \n",
            "Wickets :  11 \tMatches :  14 \tBalls :  297 \n",
            "MatchStats :  ['1/28-4', '1/13-4', '0/18-3', '4/15-4', '2/23-4', '1/13-4', '0/43-4', '1/23-3', '0/24-2', '0/28-3', '1/24-4', '0/26-3', '0/29-4', '0/24-5'] \n",
            "MatchIndex :  [3.5, 1.625, 6.0, 0.75, 1.9166666666666667, 1.625, 10.75, 3.8333333333333335, 12.0, 9.333333333333334, 3.0, 8.666666666666666, 7.25, 4.8] \n",
            "AvgIndex 5.360714285714286 \n",
            "AvgIndex2 4.239340379008746\n",
            "\n",
            "Mohammed Siraj \n",
            "Wickets :  41 \tMatches :  35 \tBalls :  756 \n",
            "MatchStats :  ['2/39-4', '0/43-4', '2/26-4', '2/41-4', '0/33-4', '4/32-4', '1/5-2', '2/39-5', '1/39-4', '1/25-5', '0/36-3', '1/14-2', '1/54-4', '1/21-3', '0/34-5', '0/36-5', '0/48-5', '3/40-5', '2/28-5', '0/18-2', '3/26-5', '1/46-4', '1/17-4', '1/45-5', '1/34-4', '0/38-5', '2/34-5', '1/24-3', '0/44-4', '3/9-4', '0/29-2', '2/29-4', '0/12-1', '1/30-4', '2/33-5'] \n",
            "MatchIndex :  [3.25, 10.75, 2.1666666666666665, 3.4166666666666665, 8.25, 1.6, 1.25, 2.6, 4.875, 2.5, 12.0, 3.5, 6.75, 3.5, 6.8, 7.2, 9.6, 2.0, 1.8666666666666667, 9.0, 1.3, 5.75, 2.125, 4.5, 4.25, 7.6, 2.2666666666666666, 4.0, 11.0, 0.5625, 14.5, 2.4166666666666665, 12.0, 3.75, 2.2] \n",
            "AvgIndex 5.1741666666666655 \n",
            "AvgIndex2 6.065390476190475\n",
            "\n",
            "K Rabada \n",
            "Wickets :  66 \tMatches :  35 \tBalls :  840 \n",
            "MatchStats :  ['2/31-5', '2/28-4', '0/18-3', '0/59-5', '3/28-4', '1/34-5', '2/24-5', '1/26-4', '2/41-5', '3/32-4', '1/32-4', '4/21-5', '2/42-4', '4/22-4', '2/39-5', '2/26-4', '3/37-5', '2/33-5', '2/29-5', '3/27-4', '2/23-4', '1/51-4', '4/24-5', '3/36-5', '2/28-5', '1/28-4', '1/33-5', '2/27-5', '2/33-5', '0/58-4', '2/30-4', '0/27-3', '0/44-5', '4/29-5', '1/36-3'] \n",
            "MatchIndex :  [2.066666666666667, 2.3333333333333335, 6.0, 11.8, 1.75, 3.4, 1.6, 3.25, 2.7333333333333334, 2.0, 4.0, 0.84, 3.5, 1.1, 2.6, 2.1666666666666665, 1.85, 2.2, 1.9333333333333333, 1.6875, 1.9166666666666667, 6.375, 0.96, 1.8, 1.8666666666666667, 3.5, 3.3, 1.8, 2.2, 14.5, 2.5, 9.0, 8.8, 1.16, 6.0] \n",
            "AvgIndex 3.5568333333333326 \n",
            "AvgIndex2 6.710074965986393\n",
            "\n",
            "Washington Sundar \n",
            "Wickets :  26 \tMatches :  35 \tBalls :  660 \n",
            "MatchStats :  ['0/21-4', '1/26-4', '1/33-3', '1/7-2', '0/12-2', '2/19-2', '0/19-3', '1/23-3', '3/16-4', '0/13-4', '1/48-5', '2/23-4', '0/30-4', '0/32-3', '1/32-4', '0/14-1', '0/15-1', '0/21-2', '1/30-4', '3/24-3', '0/7-1', '0/13-2', '1/12-4', '0/20-4', '0/20-4', '2/16-3', '3/21-4', '0/39-4', '0/25-3', '1/14-4', '0/27-4', '0/20-5', '1/21-3', '1/24-4', '0/21-3'] \n",
            "MatchIndex :  [5.25, 3.25, 5.5, 1.75, 6.0, 3.1666666666666665, 6.333333333333333, 3.8333333333333335, 1.0, 3.25, 4.8, 1.9166666666666667, 7.5, 10.666666666666666, 4.0, 14.0, 15.0, 10.5, 3.75, 2.0, 7.0, 6.5, 1.5, 5.0, 5.0, 1.7777777777777777, 1.3125, 9.75, 8.333333333333334, 1.75, 6.75, 4.0, 3.5, 3.0, 7.0] \n",
            "AvgIndex 5.3040079365079364 \n",
            "AvgIndex2 3.944449983803045\n",
            "\n",
            "SS Agarwal \n",
            "Wickets :  1 \tMatches :  1 \tBalls :  24 \n",
            "MatchStats :  ['1/42-4'] \n",
            "MatchIndex :  [5.25] \n",
            "AvgIndex 5.25 \n",
            "AvgIndex2 10.5\n",
            "\n",
            "NB Singh \n",
            "Wickets :  1 \tMatches :  2 \tBalls :  25 \n",
            "MatchStats :  ['1/8-2', '0/10-3'] \n",
            "MatchIndex :  [2.0, 3.3333333333333335] \n",
            "AvgIndex 2.666666666666667 \n",
            "AvgIndex2 2.0000000000000004\n",
            "\n",
            "RA Tripathi \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  6 \n",
            "MatchStats :  ['0/12-1'] \n",
            "MatchIndex :  [12.0] \n",
            "AvgIndex 12.0 \n",
            "AvgIndex2 12.0\n",
            "\n",
            "Ankit Soni \n",
            "Wickets :  4 \tMatches :  6 \tBalls :  112 \n",
            "MatchStats :  ['2/28-4', '2/16-5', '0/17-5', '0/26-2', '0/27-3', '0/31-3'] \n",
            "MatchIndex :  [2.3333333333333335, 1.0666666666666667, 3.4, 13.0, 9.0, 10.333333333333334] \n",
            "AvgIndex 6.522222222222222 \n",
            "AvgIndex2 4.529320987654321\n",
            "\n",
            "MN Samuels \n",
            "Wickets :  0 \tMatches :  2 \tBalls :  18 \n",
            "MatchStats :  ['0/22-2', '0/12-1'] \n",
            "MatchIndex :  [11.0, 12.0] \n",
            "AvgIndex 11.5 \n",
            "AvgIndex2 2.875\n",
            "\n",
            "MJ Henry \n",
            "Wickets :  2 \tMatches :  2 \tBalls :  31 \n",
            "MatchStats :  ['2/31-3', '0/40-3'] \n",
            "MatchIndex :  [3.4444444444444446, 13.333333333333334] \n",
            "AvgIndex 8.38888888888889 \n",
            "AvgIndex2 10.48611111111111\n",
            "\n",
            "R Tewatia \n",
            "Wickets :  22 \tMatches :  28 \tBalls :  514 \n",
            "MatchStats :  ['2/20-5', '1/17-2', '0/14-3', '1/12-2', '0/20-2', '1/10-4', '1/24-4', '0/29-5', '2/36-5', '3/18-3', '0/26-3', '0/6-1', '0/11-1', '0/24-2', '3/37-4', '0/19-1', '1/6-1', '0/28-4', '0/13-2', '2/21-5', '0/35-5', '0/23-3', '1/30-5', '1/18-5', '0/25-4', '0/25-4', '0/22-3', '3/25-5'] \n",
            "MatchIndex :  [1.3333333333333333, 4.25, 4.666666666666667, 3.0, 10.0, 1.25, 3.0, 5.8, 2.4, 1.5, 8.666666666666666, 6.0, 11.0, 12.0, 2.3125, 19.0, 3.0, 7.0, 6.5, 1.4, 7.0, 7.666666666666667, 3.0, 1.8, 6.25, 6.25, 7.333333333333333, 1.25] \n",
            "AvgIndex 5.522470238095239 \n",
            "AvgIndex2 4.3461277256438295\n",
            "\n",
            "Avesh Khan \n",
            "Wickets :  5 \tMatches :  9 \tBalls :  185 \n",
            "MatchStats :  ['1/24-4', '0/30-4', '2/36-4', '2/29-5', '0/29-5', '0/36-2', '0/47-4', '0/28-2', '0/42-5'] \n",
            "MatchIndex :  [3.0, 7.5, 3.0, 1.9333333333333333, 5.8, 18.0, 11.75, 14.0, 8.4] \n",
            "AvgIndex 8.153703703703705 \n",
            "AvgIndex2 4.630498399634202\n",
            "\n",
            "NA Saini \n",
            "Wickets :  19 \tMatches :  26 \tBalls :  587 \n",
            "MatchStats :  ['0/25-5', '0/40-5', '0/40-5', '2/34-5', '2/24-5', '0/23-5', '0/34-4', '1/31-4', '2/26-5', '2/33-4', '1/48-4', '0/12-1', '2/40-4', '2/25-5', '0/41-5', '0/43-5', '1/37-5', '0/49-4', '1/18-5', '1/17-4', '0/22-4', '0/30-4', '1/23-3', '0/19-3', '1/30-3', '0/31-4'] \n",
            "MatchIndex :  [5.0, 8.0, 8.0, 2.2666666666666666, 1.6, 4.6, 8.5, 3.875, 1.7333333333333334, 2.75, 6.0, 12.0, 3.3333333333333335, 1.6666666666666667, 8.2, 8.6, 3.7, 12.25, 1.8, 2.125, 5.5, 7.5, 3.8333333333333335, 6.333333333333333, 5.0, 7.75] \n",
            "AvgIndex 5.458333333333333 \n",
            "AvgIndex2 3.9968565088757395\n",
            "\n",
            "MM Ali \n",
            "Wickets :  14 \tMatches :  17 \tBalls :  264 \n",
            "MatchStats :  ['1/19-4', '0/13-1', '0/29-3', '0/14-1', '1/22-4', '1/19-5', '2/18-4', '0/20-3', '1/25-5', '4/13-3', '1/21-2', '0/19-2', '1/13-1', '1/22-3', '1/21-3', '0/17-2', '0/4-1'] \n",
            "MatchIndex :  [2.375, 13.0, 9.666666666666666, 14.0, 2.75, 1.9, 1.5, 6.666666666666667, 2.5, 0.8666666666666667, 5.25, 9.5, 6.5, 3.6666666666666665, 3.5, 8.5, 4.0] \n",
            "AvgIndex 5.655392156862745 \n",
            "AvgIndex2 4.676950607232512\n",
            "\n",
            "S Dube \n",
            "Wickets :  5 \tMatches :  7 \tBalls :  66 \n",
            "MatchStats :  ['0/3-1', '0/5-1', '3/17-3', '2/33-3', '0/4-1', '0/14-2', '0/7-1'] \n",
            "MatchIndex :  [3.0, 5.0, 1.4166666666666667, 3.6666666666666665, 4.0, 7.0, 7.0] \n",
            "AvgIndex 4.440476190476191 \n",
            "AvgIndex2 3.2623906705539363\n",
            "\n",
            "M Prasidh Krishna \n",
            "Wickets :  20 \tMatches :  24 \tBalls :  540 \n",
            "MatchStats :  ['0/34-5', '0/42-5', '0/33-5', '0/42-4', '1/36-5', '0/23-5', '1/26-3', '0/30-5', '0/39-5', '1/41-5', '2/31-5', '2/36-4', '5/30-5', '1/28-4', '1/56-5', '0/53-4', '1/43-4', '1/22-3', '3/29-4', '1/42-4', '0/30-2', '0/20-3', '0/20-3', '0/24-3'] \n",
            "MatchIndex :  [6.8, 8.4, 6.6, 10.5, 3.6, 4.6, 4.333333333333333, 6.0, 7.8, 4.1, 2.066666666666667, 3.0, 1.0, 3.5, 5.6, 13.25, 5.375, 3.6666666666666665, 1.8125, 5.25, 15.0, 6.666666666666667, 6.666666666666667, 8.0] \n",
            "AvgIndex 5.982812499999999 \n",
            "AvgIndex2 4.996063910590277\n",
            "\n",
            "Rasikh Salam \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  27 \n",
            "MatchStats :  ['0/42-5'] \n",
            "MatchIndex :  [8.4] \n",
            "AvgIndex 8.4 \n",
            "AvgIndex2 8.4\n",
            "\n",
            "KMA Paul \n",
            "Wickets :  10 \tMatches :  8 \tBalls :  180 \n",
            "MatchStats :  ['1/21-4', '0/20-4', '2/46-5', '3/17-5', '0/37-4', '0/15-4', '4/33-5', '0/50-4'] \n",
            "MatchIndex :  [2.625, 5.0, 3.066666666666667, 0.85, 9.25, 3.75, 1.32, 12.5] \n",
            "AvgIndex 4.795208333333333 \n",
            "AvgIndex2 6.068935546875\n",
            "\n",
            "K Gowtham \n",
            "Wickets :  14 \tMatches :  24 \tBalls :  414 \n",
            "MatchStats :  ['1/35-5', '0/25-2', '0/14-3', '0/20-4', '0/22-1', '0/39-3', '0/9-1', '1/10-1', '1/36-4', '2/23-4', '0/35-3', '0/20-3', '2/18-4', '0/27-2', '1/18-4', '2/16-4', '0/28-3', '0/23-3', '0/32-2', '1/7-2', '2/19-3', '0/16-4', '0/39-4', '1/45-4'] \n",
            "MatchIndex :  [3.5, 12.5, 4.666666666666667, 5.0, 22.0, 13.0, 9.0, 5.0, 4.5, 1.9166666666666667, 11.666666666666666, 6.666666666666667, 1.5, 13.5, 2.25, 1.3333333333333333, 9.333333333333334, 7.666666666666667, 16.0, 1.75, 2.111111111111111, 4.0, 9.75, 5.625] \n",
            "AvgIndex 7.259837962962963 \n",
            "AvgIndex2 4.247509363747428\n",
            "\n",
            "JC Archer \n",
            "Wickets :  47 \tMatches :  35 \tBalls :  858 \n",
            "MatchStats :  ['0/17-4', '0/42-5', '2/17-4', '1/49-5', '0/15-3', '1/23-4', '3/40-5', '3/22-5', '3/23-4', '3/27-4', '1/31-4', '1/43-4', '1/32-4', '2/42-5', '2/17-5', '0/43-4', '0/38-5', '2/33-5', '1/22-4', '0/31-4', '1/28-5', '1/26-5', '0/46-5', '2/18-4', '1/19-4', '1/38-5', '3/24-5', '1/25-5', '3/21-5', '0/38-4', '1/20-4', '2/21-5', '2/31-5', '2/26-4', '1/20-4'] \n",
            "MatchIndex :  [4.25, 8.4, 1.4166666666666667, 4.9, 5.0, 2.875, 2.0, 1.1, 1.4375, 1.6875, 3.875, 5.375, 4.0, 2.8, 1.1333333333333333, 10.75, 7.6, 2.2, 2.75, 7.75, 2.8, 2.6, 9.2, 1.5, 2.375, 3.8, 1.2, 2.5, 1.05, 9.5, 2.5, 1.4, 2.066666666666667, 2.1666666666666665, 2.5] \n",
            "AvgIndex 3.6702380952380946 \n",
            "AvgIndex2 4.931601554907677\n",
            "\n",
            "SM Curran \n",
            "Wickets :  25 \tMatches :  22 \tBalls :  472 \n",
            "MatchStats :  ['2/52-5', '4/13-3', '0/35-5', '0/30-4', '2/54-5', '0/31-3', '0/34-4', '0/41-5', '3/35-5', '1/29-4', '3/33-5', '1/28-5', '0/37-4', '0/31-3', '2/27-4', '1/48-5', '2/18-3', '1/35-5', '0/7-1', '3/19-4', '0/21-3', '0/15-2'] \n",
            "MatchIndex :  [3.466666666666667, 0.8666666666666667, 7.0, 7.5, 3.6, 10.333333333333334, 8.5, 8.2, 1.75, 3.625, 1.65, 2.8, 9.25, 10.333333333333334, 2.25, 4.8, 2.0, 3.5, 7.0, 1.1875, 7.0, 7.5] \n",
            "AvgIndex 5.186931818181818 \n",
            "AvgIndex2 5.904957503756574\n",
            "\n",
            "Mujeeb Ur Rahman \n",
            "Wickets :  18 \tMatches :  18 \tBalls :  426 \n",
            "MatchStats :  ['2/31-5', '0/36-5', '1/36-5', '0/24-4', '2/28-5', '1/30-4', '0/18-3', '0/27-5', '2/32-5', '2/25-4', '1/17-5', '2/37-5', '3/28-5', '2/22-4', '0/28-3', '0/66-5', '0/39-4', '0/44-5'] \n",
            "MatchIndex :  [2.066666666666667, 7.2, 3.6, 6.0, 1.8666666666666667, 3.75, 6.0, 5.4, 2.1333333333333333, 2.0833333333333335, 1.7, 2.466666666666667, 1.4, 1.8333333333333333, 9.333333333333334, 13.2, 9.75, 8.8] \n",
            "AvgIndex 4.921296296296297 \n",
            "AvgIndex2 4.936485482395978\n",
            "\n",
            "CV Varun \n",
            "Wickets :  18 \tMatches :  14 \tBalls :  331 \n",
            "MatchStats :  ['1/35-3', '1/25-4', '2/25-4', '1/49-4', '1/28-4', '0/27-4', '0/26-4', '1/23-4', '1/32-4', '0/28-4', '5/20-5', '1/34-4', '2/20-4', '2/20-4'] \n",
            "MatchIndex :  [5.833333333333333, 3.125, 2.0833333333333335, 6.125, 3.5, 6.75, 6.5, 2.875, 4.0, 7.0, 0.6666666666666666, 4.25, 1.6666666666666667, 1.6666666666666667] \n",
            "AvgIndex 4.00297619047619 \n",
            "AvgIndex2 5.16710702137998\n",
            "\n",
            "GC Viljoen \n",
            "Wickets :  8 \tMatches :  6 \tBalls :  146 \n",
            "MatchStats :  ['1/37-5', '2/41-4', '1/26-3', '0/34-5', '3/39-5', '1/52-5'] \n",
            "MatchIndex :  [3.7, 3.4166666666666665, 4.333333333333333, 6.8, 1.95, 5.2] \n",
            "AvgIndex 4.233333333333333 \n",
            "AvgIndex2 5.762037037037037\n",
            "\n",
            "Mandeep Singh \n",
            "Wickets :  0 \tMatches :  2 \tBalls :  12 \n",
            "MatchStats :  ['0/18-1', '0/8-1'] \n",
            "MatchIndex :  [18.0, 8.0] \n",
            "AvgIndex 13.0 \n",
            "AvgIndex2 3.25\n",
            "\n",
            "M Markande \n",
            "Wickets :  16 \tMatches :  17 \tBalls :  305 \n",
            "MatchStats :  ['1/23-3', '0/12-2', '3/24-4', '4/25-4', '0/42-3', '1/27-5', '0/15-2', '2/15-3', '0/31-4', '1/29-3', '1/29-4', '1/25-3', '1/27-4', '0/32-3', '0/34-4', '1/21-2', '0/24-2'] \n",
            "MatchIndex :  [3.8333333333333335, 6.0, 1.5, 1.25, 14.0, 2.7, 7.5, 1.6666666666666667, 7.75, 4.833333333333333, 3.625, 4.166666666666667, 3.375, 10.666666666666666, 8.5, 5.25, 12.0] \n",
            "AvgIndex 5.800980392156863 \n",
            "AvgIndex2 5.479818847954406\n",
            "\n",
            "V Shankar \n",
            "Wickets :  7 \tMatches :  14 \tBalls :  170 \n",
            "MatchStats :  ['0/13-1', '1/13-3', '0/17-2', '1/11-2', '0/12-1', '0/10-1', '1/22-3', '0/14-2', '0/16-2', '1/14-2', '0/22-4', '1/20-4', '1/15-3', '1/11-2'] \n",
            "MatchIndex :  [13.0, 2.1666666666666665, 8.5, 2.75, 12.0, 10.0, 3.6666666666666665, 7.0, 8.0, 3.5, 5.5, 2.5, 2.5, 2.75] \n",
            "AvgIndex 5.988095238095238 \n",
            "AvgIndex2 3.0245991253644315\n",
            "\n",
            "S Lamichhane \n",
            "Wickets :  14 \tMatches :  9 \tBalls :  211 \n",
            "MatchStats :  ['2/29-4', '2/28-4', '1/32-4', '1/46-4', '1/29-4', '1/21-4', '3/36-5', '3/40-4', '0/36-3'] \n",
            "MatchIndex :  [2.4166666666666665, 2.3333333333333335, 4.0, 5.75, 3.625, 2.625, 1.8, 2.5, 12.0] \n",
            "AvgIndex 4.116666666666666 \n",
            "AvgIndex2 6.454526748971193\n",
            "\n",
            "P Ray Barman \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  24 \n",
            "MatchStats :  ['0/56-4'] \n",
            "MatchIndex :  [14.0] \n",
            "AvgIndex 14.0 \n",
            "AvgIndex2 14.0\n",
            "\n",
            "MJ Santner \n",
            "Wickets :  6 \tMatches :  6 \tBalls :  130 \n",
            "MatchStats :  ['0/26-3', '1/25-5', '1/30-5', '2/13-4', '1/23-4', '1/30-3'] \n",
            "MatchIndex :  [8.666666666666666, 2.5, 3.0, 1.0833333333333333, 2.875, 5.0] \n",
            "AvgIndex 3.8541666666666665 \n",
            "AvgIndex2 3.961226851851852\n",
            "\n",
            "GH Vihari \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  6 \n",
            "MatchStats :  ['0/9-1'] \n",
            "MatchIndex :  [9.0] \n",
            "AvgIndex 9.0 \n",
            "AvgIndex2 9.0\n",
            "\n",
            "JP Behrendorff \n",
            "Wickets :  5 \tMatches :  5 \tBalls :  117 \n",
            "MatchStats :  ['2/23-5', '1/28-4', '1/35-4', '0/31-4', '1/51-5'] \n",
            "MatchIndex :  [1.5333333333333334, 3.5, 4.375, 7.75, 5.1] \n",
            "AvgIndex 4.451666666666666 \n",
            "AvgIndex2 4.629733333333333\n",
            "\n",
            "SC Kuggeleijn \n",
            "Wickets :  2 \tMatches :  2 \tBalls :  50 \n",
            "MatchStats :  ['2/37-5', '0/34-5'] \n",
            "MatchIndex :  [2.466666666666667, 6.8] \n",
            "AvgIndex 4.633333333333333 \n",
            "AvgIndex2 5.791666666666666\n",
            "\n",
            "AS Joseph \n",
            "Wickets :  6 \tMatches :  3 \tBalls :  55 \n",
            "MatchStats :  ['6/14-4', '0/22-3', '0/53-3'] \n",
            "MatchIndex :  [0.5, 7.333333333333333, 17.666666666666668] \n",
            "AvgIndex 8.5 \n",
            "AvgIndex2 17.944444444444443\n",
            "\n",
            "HF Gurney \n",
            "Wickets :  7 \tMatches :  8 \tBalls :  169 \n",
            "MatchStats :  ['2/25-5', '0/20-3', '1/37-4', '1/42-5', '0/16-3', '2/37-4', '1/42-4', '0/20-4'] \n",
            "MatchIndex :  [1.6666666666666667, 6.666666666666667, 4.625, 4.2, 5.333333333333333, 3.0833333333333335, 5.25, 5.0] \n",
            "AvgIndex 4.478125 \n",
            "AvgIndex2 3.9883300781250006\n",
            "\n",
            "S Midhun \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  13 \n",
            "MatchStats :  ['0/29-3'] \n",
            "MatchIndex :  [9.666666666666666] \n",
            "AvgIndex 9.666666666666666 \n",
            "AvgIndex2 9.666666666666666\n",
            "\n",
            "R Parag \n",
            "Wickets :  2 \tMatches :  9 \tBalls :  97 \n",
            "MatchStats :  ['0/24-3', '0/17-2', '1/25-3', '0/7-1', '0/24-3', '1/10-1', '0/14-1', '0/14-1', '0/13-2'] \n",
            "MatchIndex :  [8.0, 8.5, 4.166666666666667, 7.0, 8.0, 5.0, 14.0, 14.0, 6.5] \n",
            "AvgIndex 8.351851851851853 \n",
            "AvgIndex2 1.9590763603109287\n",
            "\n",
            "LS Livingstone \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  6 \n",
            "MatchStats :  ['0/13-1'] \n",
            "MatchIndex :  [13.0] \n",
            "AvgIndex 13.0 \n",
            "AvgIndex2 13.0\n",
            "\n",
            "SN Khan \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  2 \n",
            "MatchStats :  ['0/6-1'] \n",
            "MatchIndex :  [6.0] \n",
            "AvgIndex 6.0 \n",
            "AvgIndex2 6.0\n",
            "\n",
            "KK Ahmed \n",
            "Wickets :  30 \tMatches :  17 \tBalls :  399 \n",
            "MatchStats :  ['3/31-5', '1/25-5', '0/39-4', '3/33-5', '0/27-4', '1/33-4', '3/40-5', '3/42-4', '3/37-5', '3/24-3', '1/29-3', '1/43-5', '0/34-5', '3/24-3', '2/37-4', '2/47-5', '1/31-4'] \n",
            "MatchIndex :  [1.55, 2.5, 9.75, 1.65, 6.75, 4.125, 2.0, 2.625, 1.85, 2.0, 4.833333333333333, 4.3, 6.8, 2.0, 3.0833333333333335, 3.1333333333333333, 3.875] \n",
            "AvgIndex 3.695588235294118 \n",
            "AvgIndex2 6.534413800122125\n",
            "\n",
            "Abhishek Sharma \n",
            "Wickets :  3 \tMatches :  8 \tBalls :  74 \n",
            "MatchStats :  ['1/10-1', '0/11-2', '1/16-2', '0/11-1', '0/34-5', '0/4-1', '1/16-1', '0/11-1'] \n",
            "MatchIndex :  [5.0, 5.5, 4.0, 11.0, 6.8, 4.0, 8.0, 11.0] \n",
            "AvgIndex 6.9125 \n",
            "AvgIndex2 2.7001953125\n",
            "\n",
            "IS Sodhi \n",
            "Wickets :  9 \tMatches :  8 \tBalls :  182 \n",
            "MatchStats :  ['1/41-5', '1/25-3', '1/15-4', '1/30-4', '1/21-4', '1/31-4', '0/15-4', '3/26-4'] \n",
            "MatchIndex :  [4.1, 4.166666666666667, 1.875, 3.75, 2.625, 3.875, 3.75, 1.625] \n",
            "AvgIndex 3.220833333333333 \n",
            "AvgIndex2 3.6737630208333334\n",
            "\n",
            "Arshdeep Singh \n",
            "Wickets :  14 \tMatches :  11 \tBalls :  223 \n",
            "MatchStats :  ['2/44-5', '1/48-5', '0/25-2', '2/33-5', '2/25-5', '1/20-3', '2/36-4', '0/30-3', '4/23-4', '0/18-3', '0/34-3'] \n",
            "MatchIndex :  [2.933333333333333, 4.8, 12.5, 2.2, 1.6666666666666667, 3.3333333333333335, 3.0, 10.0, 1.15, 6.0, 11.333333333333334] \n",
            "AvgIndex 5.356060606060606 \n",
            "AvgIndex2 6.86106937139995\n",
            "\n",
            "MA Wood \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  25 \n",
            "MatchStats :  ['0/50-5'] \n",
            "MatchIndex :  [10.0] \n",
            "AvgIndex 10.0 \n",
            "AvgIndex2 10.0\n",
            "\n",
            "K Khejroliya \n",
            "Wickets :  3 \tMatches :  5 \tBalls :  101 \n",
            "MatchStats :  ['0/36-5', '2/34-4', '0/40-4', '0/18-1', '1/29-5'] \n",
            "MatchIndex :  [7.2, 2.8333333333333335, 10.0, 18.0, 2.9] \n",
            "AvgIndex 8.186666666666666 \n",
            "AvgIndex2 5.239466666666666\n",
            "\n",
            "B Laughlin \n",
            "Wickets :  9 \tMatches :  7 \tBalls :  134 \n",
            "MatchStats :  ['0/20-3', '2/21-2', '1/46-5', '0/37-4', '2/38-5', '2/15-2', '2/35-4'] \n",
            "MatchIndex :  [6.666666666666667, 3.5, 4.6, 9.25, 2.533333333333333, 2.5, 2.9166666666666665] \n",
            "AvgIndex 4.566666666666666 \n",
            "AvgIndex2 5.964625850340136\n",
            "\n",
            "DJM Short \n",
            "Wickets :  1 \tMatches :  2 \tBalls :  18 \n",
            "MatchStats :  ['0/13-2', '1/10-1'] \n",
            "MatchIndex :  [6.5, 5.0] \n",
            "AvgIndex 5.75 \n",
            "AvgIndex2 4.3125\n",
            "\n",
            "TK Curran \n",
            "Wickets :  9 \tMatches :  10 \tBalls :  180 \n",
            "MatchStats :  ['2/39-3', '1/21-2', '2/19-3', '0/6-1', '1/33-4', '1/55-5', '1/44-5', '1/37-5', '0/40-4', '0/34-4'] \n",
            "MatchIndex :  [4.333333333333333, 5.25, 2.111111111111111, 6.0, 4.125, 5.5, 4.4, 3.7, 10.0, 8.5] \n",
            "AvgIndex 5.391944444444444 \n",
            "AvgIndex2 4.906669444444444\n",
            "\n",
            "A Dananjaya \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  25 \n",
            "MatchStats :  ['0/47-5'] \n",
            "MatchIndex :  [9.4] \n",
            "AvgIndex 9.4 \n",
            "AvgIndex2 9.4\n",
            "\n",
            "Shivam Mavi \n",
            "Wickets :  16 \tMatches :  17 \tBalls :  341 \n",
            "MatchStats :  ['0/10-1', '1/16-3', '2/40-5', '0/29-4', '2/58-5', '0/22-4', '0/21-4', '1/44-4', '1/33-5', '2/33-5', '0/15-3', '2/21-4', '0/40-3', '1/32-3', '1/24-3', '1/34-4', '2/15-5'] \n",
            "MatchIndex :  [10.0, 2.6666666666666665, 2.6666666666666665, 7.25, 3.8666666666666667, 5.5, 5.25, 5.5, 3.3, 2.2, 5.0, 1.75, 13.333333333333334, 5.333333333333333, 4.0, 4.25, 1.0] \n",
            "AvgIndex 4.874509803921568 \n",
            "AvgIndex2 4.604640749033177\n",
            "\n",
            "LE Plunkett \n",
            "Wickets :  4 \tMatches :  7 \tBalls :  154 \n",
            "MatchStats :  ['3/19-5', '0/24-4', '0/52-3', '0/37-3', '1/27-5', '0/42-4', '0/27-4'] \n",
            "MatchIndex :  [0.95, 6.0, 17.333333333333332, 12.333333333333334, 2.7, 10.5, 6.75] \n",
            "AvgIndex 8.08095238095238 \n",
            "AvgIndex2 4.782604470359573\n",
            "\n",
            "MK Tiwary \n",
            "Wickets :  0 \tMatches :  1 \tBalls :  7 \n",
            "MatchStats :  ['0/10-2'] \n",
            "MatchIndex :  [5.0] \n",
            "AvgIndex 5.0 \n",
            "AvgIndex2 5.0\n",
            "\n",
            "MK Lomror \n",
            "Wickets :  0 \tMatches :  2 \tBalls :  18 \n",
            "MatchStats :  ['0/8-1', '0/19-2'] \n",
            "MatchIndex :  [8.0, 9.5] \n",
            "AvgIndex 8.75 \n",
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    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4f34HXBQXlLp"
      },
      "source": [
        "# Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PtCLwO73GNYC"
      },
      "source": [
        "finaldata3 = finaldata"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "Ai4220yQDif8",
        "outputId": "4d6afded-12d6-4fb5-96b6-987dcc64f13a"
      },
      "source": [
        "finaldata3"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>15.130895</td>\n",
              "      <td>104.734950</td>\n",
              "      <td>5.348082</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>298</th>\n",
              "      <td>1237181</td>\n",
              "      <td>Dubai International Cricket Stadium</td>\n",
              "      <td>1</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>MP Stoinis,AM Rahane,S Dhawan,SS Iyer,RR Pant,...</td>\n",
              "      <td>TA Boult,JJ Bumrah,J Yadav,NM Coulter-Nile,KH ...</td>\n",
              "      <td>156.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>171.538462</td>\n",
              "      <td>172.289474</td>\n",
              "      <td>20.102362</td>\n",
              "      <td>23.766906</td>\n",
              "      <td>130.136195</td>\n",
              "      <td>5.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>597</th>\n",
              "      <td>1237181</td>\n",
              "      <td>Dubai International Cricket Stadium</td>\n",
              "      <td>2</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>RG Sharma,Q de Kock,SA Yadav,Ishan Kishan,KA P...</td>\n",
              "      <td>R Ashwin,K Rabada,A Nortje,MP Stoinis,AR Patel...</td>\n",
              "      <td>157.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>149.153846</td>\n",
              "      <td>168.722222</td>\n",
              "      <td>20.142241</td>\n",
              "      <td>25.525844</td>\n",
              "      <td>138.211262</td>\n",
              "      <td>5.348082</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>598 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "    match_id  ... bowling_index\n",
              "0     980901  ...      5.126246\n",
              "299   980901  ...      4.766088\n",
              "1     980903  ...      5.643511\n",
              "300   980903  ...      4.651841\n",
              "2     980905  ...      6.769435\n",
              "..       ...  ...           ...\n",
              "595  1237178  ...      4.847504\n",
              "297  1237180  ...      4.310060\n",
              "596  1237180  ...      5.348082\n",
              "298  1237181  ...      5.175729\n",
              "597  1237181  ...      5.348082\n",
              "\n",
              "[598 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 140
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eBq_qBY7K15c"
      },
      "source": [
        "finaldata3['venue_index'] = 0\n",
        "for i in range(len(finaldata3)):\n",
        "  venue_index = venuedata[venuedata['venue']==finaldata3.loc[i]['venue']]['index1'].unique()[0]\n",
        "  venue_index2 = venuedata[venuedata['venue']==finaldata3.loc[i]['venue']]['index2'].unique()[0]\n",
        "  if(finaldata3.loc[i]['innings']==1):\n",
        "    #print('1',finaldata.loc[i]['venue'],venue_index)\n",
        "    finaldata3.loc[i,'venue_index'] = venue_index\n",
        "  else:\n",
        "    #print('2',finaldata.loc[i]['venue'],venue_index2)\n",
        "    finaldata3.loc[i,'venue_index'] = venue_index2"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "azNRJGZ10eFp"
      },
      "source": [
        "finaldata3['batting_team_index'] = 0\n",
        "for i in range(len(finaldata3)):\n",
        "  batting_team_index = teamdata[teamdata['team']==finaldata3.loc[i]['batting_team']]['batindex_1'].unique()[0]\n",
        "  batting_team_index2 = teamdata[teamdata['team']==finaldata3.loc[i]['batting_team']]['batindex_2'].unique()[0]\n",
        "  if(finaldata3.loc[i]['innings']==1):\n",
        "    #print('1',finaldata.loc[i]['venue'],venue_index)\n",
        "    finaldata3.loc[i,'batting_team_index'] = batting_team_index\n",
        "  else:\n",
        "    #print('2',finaldata.loc[i]['venue'],venue_index2)\n",
        "    finaldata3.loc[i,'batting_team_index'] = batting_team_index2"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7EBgI42w1C5E"
      },
      "source": [
        "finaldata3['bowling_team_index'] = 0\n",
        "for i in range(len(finaldata3)):\n",
        "  bowling_team_index = teamdata[teamdata['team']==finaldata3.loc[i]['bowling_team']]['bowlindex_1'].unique()[0]\n",
        "  bowling_team_index2 = teamdata[teamdata['team']==finaldata3.loc[i]['bowling_team']]['bowlindex_1'].unique()[0]\n",
        "  if(finaldata3.loc[i]['innings']==1):\n",
        "    #print('1',finaldata.loc[i]['venue'],venue_index)\n",
        "    finaldata3.loc[i,'bowling_team_index'] = bowling_team_index\n",
        "  else:\n",
        "    #print('2',finaldata.loc[i]['venue'],venue_index2)\n",
        "    finaldata3.loc[i,'bowling_team_index'] = bowling_team_index2"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PKzGPZjV0LT2"
      },
      "source": [
        "finaldata3['batting_index'] = 0\n",
        "for i in range(len(finaldata3)):\n",
        "  batting_index=0\n",
        "  batting_index2=0\n",
        "  batsmen_list = finaldata3.loc[i]['batsmen'].split(',')\n",
        "  for batsman in batsmen_list:\n",
        "    batting_index = batting_index + batsmandata[batsmandata['batsman']==batsman]['index_1'].unique()[0]\n",
        "    batting_index2 = batting_index2 + batsmandata[batsmandata['batsman']==batsman]['index_2'].unique()[0]\n",
        "  if(finaldata3.loc[i]['innings']==1):\n",
        "    #print('1',finaldata.loc[i]['venue'],venue_index)\n",
        "    finaldata3.loc[i,'batting_index'] = batting_index\n",
        "  else:\n",
        "    #print('2',finaldata.loc[i]['venue'],venue_index2)\n",
        "    finaldata3.loc[i,'batting_index'] = batting_index2\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZORpf7YC8f5m"
      },
      "source": [
        "finaldata3['batting_strike'] = 0\n",
        "for i in range(len(finaldata3)):\n",
        "  batting_strike=0\n",
        "  batting_strike2=0\n",
        "  batsmen_list = finaldata3.loc[i]['batsmen'].split(',')\n",
        "  for batsman in batsmen_list:\n",
        "    batting_strike = batting_strike + batsmandata[batsmandata['batsman']==batsman]['strike_1'].unique()[0]\n",
        "    batting_strike2 = batting_strike2 + batsmandata[batsmandata['batsman']==batsman]['strike_2'].unique()[0]\n",
        "  if(finaldata3.loc[i]['innings']==1):\n",
        "    #print('1',finaldata.loc[i]['venue'],venue_index)\n",
        "    finaldata3.loc[i,'batting_strike'] = batting_strike/len(batsmen_list)\n",
        "  else:\n",
        "    #print('2',finaldata.loc[i]['venue'],venue_index2)\n",
        "    finaldata3.loc[i,'batting_strike'] = batting_strike2/len(batsmen_list)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bq8JKNdaGF-q"
      },
      "source": [
        "finaldata3['bowling_index'] = 0\n",
        "for i in range(len(finaldata3)):\n",
        "  bowling_index=0\n",
        "  bowler_list = finaldata3.loc[i]['bowlers'].split(',')\n",
        "  #print(bowler_list)\n",
        "  for bowler in bowler_list:\n",
        "    #print(bowler)\n",
        "    bowling_index = bowling_index + bowlerdata[bowlerdata['bowler']==bowler]['A1index'].unique()[0]\n",
        "  finaldata3.loc[i,'bowling_index'] = bowling_index/len(bowler_list)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "76gNdcTB_nnU",
        "outputId": "8fef0a36-171e-4e5c-c42d-d1c0b870cb80"
      },
      "source": [
        "finaldata3.columns"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['match_id', 'venue', 'innings', 'batting_team', 'bowling_team',\n",
              "       'batsmen', 'bowlers', 'ppruns', 'ppwickets', 'venue_index',\n",
              "       'batting_team_index', 'bowling_team_index', 'batting_index',\n",
              "       'batting_strike', 'bowling_index'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 148
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9Fs1qpEP3ULa"
      },
      "source": [
        "finaldata4 = finaldata3[['innings', 'venue_index','batting_team_index', 'bowling_team_index', 'batting_index','bowling_index','ppwickets','ppruns']]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        },
        "id": "I4jJupoLd5iL",
        "outputId": "17b11af1-9c1a-4813-f275-e0f0a1047f7b"
      },
      "source": [
        "finaldata4"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>innings</th>\n",
              "      <th>venue_index</th>\n",
              "      <th>batting_team_index</th>\n",
              "      <th>bowling_team_index</th>\n",
              "      <th>batting_index</th>\n",
              "      <th>bowling_index</th>\n",
              "      <th>ppwickets</th>\n",
              "      <th>ppruns</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>169.577778</td>\n",
              "      <td>177.560976</td>\n",
              "      <td>21.682353</td>\n",
              "      <td>161.126597</td>\n",
              "      <td>5.126246</td>\n",
              "      <td>8.0</td>\n",
              "      <td>121.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>299</th>\n",
              "      <td>2</td>\n",
              "      <td>160.933333</td>\n",
              "      <td>147.066667</td>\n",
              "      <td>20.102362</td>\n",
              "      <td>67.095908</td>\n",
              "      <td>4.766088</td>\n",
              "      <td>1.0</td>\n",
              "      <td>126.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>171.566667</td>\n",
              "      <td>172.289474</td>\n",
              "      <td>18.733068</td>\n",
              "      <td>194.311920</td>\n",
              "      <td>5.643511</td>\n",
              "      <td>10.0</td>\n",
              "      <td>98.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>300</th>\n",
              "      <td>2</td>\n",
              "      <td>155.200000</td>\n",
              "      <td>163.729730</td>\n",
              "      <td>20.142241</td>\n",
              "      <td>78.892170</td>\n",
              "      <td>4.651841</td>\n",
              "      <td>1.0</td>\n",
              "      <td>99.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>169.571429</td>\n",
              "      <td>172.583333</td>\n",
              "      <td>17.260000</td>\n",
              "      <td>137.905290</td>\n",
              "      <td>6.769435</td>\n",
              "      <td>6.0</td>\n",
              "      <td>161.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>595</th>\n",
              "      <td>2</td>\n",
              "      <td>152.000000</td>\n",
              "      <td>160.500000</td>\n",
              "      <td>21.497925</td>\n",
              "      <td>119.475621</td>\n",
              "      <td>4.847504</td>\n",
              "      <td>4.0</td>\n",
              "      <td>132.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>297</th>\n",
              "      <td>1</td>\n",
              "      <td>162.500000</td>\n",
              "      <td>172.289474</td>\n",
              "      <td>21.752137</td>\n",
              "      <td>126.880023</td>\n",
              "      <td>4.310060</td>\n",
              "      <td>3.0</td>\n",
              "      <td>189.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>596</th>\n",
              "      <td>2</td>\n",
              "      <td>152.000000</td>\n",
              "      <td>160.500000</td>\n",
              "      <td>20.142241</td>\n",
              "      <td>151.308955</td>\n",
              "      <td>5.348082</td>\n",
              "      <td>8.0</td>\n",
              "      <td>172.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>298</th>\n",
              "      <td>1</td>\n",
              "      <td>171.538462</td>\n",
              "      <td>172.289474</td>\n",
              "      <td>20.102362</td>\n",
              "      <td>166.368343</td>\n",
              "      <td>5.175729</td>\n",
              "      <td>7.0</td>\n",
              "      <td>156.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>597</th>\n",
              "      <td>2</td>\n",
              "      <td>149.153846</td>\n",
              "      <td>168.722222</td>\n",
              "      <td>20.142241</td>\n",
              "      <td>178.680909</td>\n",
              "      <td>5.348082</td>\n",
              "      <td>5.0</td>\n",
              "      <td>157.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>598 rows × 8 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "    innings  venue_index  batting_team_index  ...  bowling_index  ppwickets  ppruns\n",
              "0         1   169.577778          177.560976  ...       5.126246        8.0   121.0\n",
              "299       2   160.933333          147.066667  ...       4.766088        1.0   126.0\n",
              "1         1   171.566667          172.289474  ...       5.643511       10.0    98.0\n",
              "300       2   155.200000          163.729730  ...       4.651841        1.0    99.0\n",
              "2         1   169.571429          172.583333  ...       6.769435        6.0   161.0\n",
              "..      ...          ...                 ...  ...            ...        ...     ...\n",
              "595       2   152.000000          160.500000  ...       4.847504        4.0   132.0\n",
              "297       1   162.500000          172.289474  ...       4.310060        3.0   189.0\n",
              "596       2   152.000000          160.500000  ...       5.348082        8.0   172.0\n",
              "298       1   171.538462          172.289474  ...       5.175729        7.0   156.0\n",
              "597       2   149.153846          168.722222  ...       5.348082        5.0   157.0\n",
              "\n",
              "[598 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 150
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 254
        },
        "id": "0wxoWzdD2Sp6",
        "outputId": "6892bbdf-b3a0-4b9a-9b3a-15831dd0df36"
      },
      "source": [
        "finaldata4.corr()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>venue_index</th>\n",
              "      <th>batting_team_index</th>\n",
              "      <th>bowling_team_index</th>\n",
              "      <th>batting_index</th>\n",
              "      <th>bowling_index</th>\n",
              "      <th>ppwickets</th>\n",
              "      <th>ppruns</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>venue_index</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.616908</td>\n",
              "      <td>-0.071634</td>\n",
              "      <td>0.114962</td>\n",
              "      <td>0.080486</td>\n",
              "      <td>0.015580</td>\n",
              "      <td>0.303693</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>batting_team_index</th>\n",
              "      <td>0.616908</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.061683</td>\n",
              "      <td>0.238048</td>\n",
              "      <td>-0.042281</td>\n",
              "      <td>0.096210</td>\n",
              "      <td>0.225979</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>bowling_team_index</th>\n",
              "      <td>-0.071634</td>\n",
              "      <td>0.061683</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.060197</td>\n",
              "      <td>-0.381261</td>\n",
              "      <td>0.101035</td>\n",
              "      <td>-0.076692</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>batting_index</th>\n",
              "      <td>0.114962</td>\n",
              "      <td>0.238048</td>\n",
              "      <td>0.060197</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.121745</td>\n",
              "      <td>0.737630</td>\n",
              "      <td>0.018685</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>bowling_index</th>\n",
              "      <td>0.080486</td>\n",
              "      <td>-0.042281</td>\n",
              "      <td>-0.381261</td>\n",
              "      <td>-0.121745</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.168586</td>\n",
              "      <td>0.166549</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ppwickets</th>\n",
              "      <td>0.015580</td>\n",
              "      <td>0.096210</td>\n",
              "      <td>0.101035</td>\n",
              "      <td>0.737630</td>\n",
              "      <td>-0.168586</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.265295</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ppruns</th>\n",
              "      <td>0.303693</td>\n",
              "      <td>0.225979</td>\n",
              "      <td>-0.076692</td>\n",
              "      <td>0.018685</td>\n",
              "      <td>0.166549</td>\n",
              "      <td>-0.265295</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                    venue_index  batting_team_index  ...  ppwickets    ppruns\n",
              "venue_index            1.000000            0.616908  ...   0.015580  0.303693\n",
              "batting_team_index     0.616908            1.000000  ...   0.096210  0.225979\n",
              "bowling_team_index    -0.071634            0.061683  ...   0.101035 -0.076692\n",
              "batting_index          0.114962            0.238048  ...   0.737630  0.018685\n",
              "bowling_index          0.080486           -0.042281  ...  -0.168586  0.166549\n",
              "ppwickets              0.015580            0.096210  ...   1.000000 -0.265295\n",
              "ppruns                 0.303693            0.225979  ...  -0.265295  1.000000\n",
              "\n",
              "[7 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 151
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wqx9KiXGke6d"
      },
      "source": [
        "X = finaldata4.iloc[:,:-2].values\n",
        "y = finaldata4.iloc[:,-2:].values"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-Q2nDeREk5C4"
      },
      "source": [
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.15, random_state = 0)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nwKMiGzNmzhn",
        "outputId": "5859a96c-cb92-40a9-cb40-2489c24ddf32"
      },
      "source": [
        "X_train"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1, 169.57142857142858, 172.58333333333334, 18.733067729083665,\n",
              "        170.11879811010243, 5.345813916483074],\n",
              "       [2, 146.26666666666668, 160.5, 18.733067729083665,\n",
              "        112.09169278996865, 5.5391935461127035],\n",
              "       [2, 146.26666666666668, 163.72972972972974, 21.752136752136753,\n",
              "        99.36585454019664, 5.675670711049045],\n",
              "       ...,\n",
              "       [2, 134.22222222222223, 158.83870967741936, 21.497925311203318,\n",
              "        108.3497113997114, 4.927118597342319],\n",
              "       [1, 169.57777777777778, 173.46511627906978, 20.10236220472441,\n",
              "        169.43010017733388, 4.9402615755755255],\n",
              "       [2, 152.0, 160.1891891891892, 21.752136752136753,\n",
              "        177.0638199807659, 4.526354939336439]], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 154
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wuoAQqPo65n3"
      },
      "source": [
        "### Linear Regression"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HElynPBJmT3H",
        "outputId": "c3f42dc2-1773-42e5-8b55-7835f58745bb"
      },
      "source": [
        "classifier = LinearRegression()\n",
        "classifier.fit(X_train, y_train)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LinearRegression()"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 155
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lP1vRV41mVpX"
      },
      "source": [
        "y_pred = classifier.predict(X_test)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XMPKzXwKAJib",
        "outputId": "b3d159f3-08be-404b-9115-8ed2ab2822af"
      },
      "source": [
        "from sklearn.metrics import r2_score\n",
        "print(r2_score(y_test, y_pred))\n",
        "from sklearn.metrics import mean_squared_error\n",
        "print(mean_squared_error(y_test, y_pred))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.28036028803210755\n",
            "519.9844570781667\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TsIht7OV68Mq"
      },
      "source": [
        "### Random Forest"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vx3KqD4X48h2"
      },
      "source": [
        "from sklearn.ensemble import RandomForestRegressor\n",
        "regressor = RandomForestRegressor(n_estimators = 200, max_depth=5,random_state = 0)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qkSI324w-nLJ"
      },
      "source": [
        "regressor.fit(X_train, y_train)\n",
        "y_pred2 = regressor.predict(X_test)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PI5mA2GR5OYF",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7cfaed5d-48a9-4a77-97e6-853dc51ffe4c"
      },
      "source": [
        "y_pred2\n",
        "from sklearn.metrics import r2_score\n",
        "print(r2_score(y_test, y_pred2))\n",
        "from sklearn.metrics import mean_squared_error\n",
        "print(mean_squared_error(y_test, y_pred2))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.14615205169046502\n",
            "561.7856518059505\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "udInXdMe6-i9"
      },
      "source": [
        "### Dummy Classifier"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7F-z9oiN8z7_",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d26c5062-7ed3-46e1-f091-e1318888e7b6"
      },
      "source": [
        "from sklearn.dummy import DummyClassifier\n",
        "clf = DummyClassifier(strategy= 'most_frequent').fit(X_train,y_train)\n",
        "y_pred = clf.predict(X_test)\n",
        "print(r2_score(y_test, y_pred))\n",
        "print(mean_squared_error(y_test, y_pred))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "-0.07277800914227295\n",
            "507.3611111111111\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S6sHVAhb7B1w"
      },
      "source": [
        "### Prediction Time"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WtrgVJAeBm6r"
      },
      "source": [
        "#['innings', 'venue_index','batting_team_index', 'batting_team_index' 'batting_team_index', 'batting_index','bowling_index','ppruns', 'ppwickets']\n",
        "inputdf = pd.DataFrame(columns = ['innings', 'venue_index','batting_team_index', 'bowling_team_index', 'batting_index','bowling_index','ppwickets'])\n",
        "inputdf = inputdf.append({'innings':1,'venue_index':'MA Chidambaram Stadium','batting_team_index':'Sunrisers Hyderabad','bowling_team_index':'Chennai Super Kings','batting_index':'DA Warner,JM Bairstow,MK Pandey,KS Williamson,KM Jadhav','bowling_index':'SM Curran,DL Chahar,RA Jadeja,MM Ali,SN Thakur,L Ngidi'},ignore_index=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 94
        },
        "id": "6TUwKRKf_9y_",
        "outputId": "3c7060f9-3895-4fb4-ec8e-40810c96a00e"
      },
      "source": [
        "inputdf"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>innings</th>\n",
              "      <th>venue_index</th>\n",
              "      <th>batting_team_index</th>\n",
              "      <th>bowling_team_index</th>\n",
              "      <th>batting_index</th>\n",
              "      <th>bowling_index</th>\n",
              "      <th>ppwickets</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>MA Chidambaram Stadium</td>\n",
              "      <td>Sunrisers Hyderabad</td>\n",
              "      <td>Chennai Super Kings</td>\n",
              "      <td>DA Warner,JM Bairstow,MK Pandey,KS Williamson,...</td>\n",
              "      <td>SM Curran,DL Chahar,RA Jadeja,MM Ali,SN Thakur...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  innings  ... ppwickets\n",
              "0       1  ...       NaN\n",
              "\n",
              "[1 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 180
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XQ8opGoCClV8",
        "outputId": "796741ce-6891-453a-ca91-c0e6a7ac281b"
      },
      "source": [
        "inputdf['venue_index'].loc[0] = venuedata[venuedata['venue'] == inputdf['venue_index'].loc[0]]['index1'].unique()[0]\n",
        "inputdf['batting_team_index'].loc[0] = teamdata[teamdata['team'] == inputdf['batting_team_index'].loc[0]]['batindex_1'].unique()[0]\n",
        "inputdf['bowling_team_index'].loc[0] = teamdata[teamdata['team'] == inputdf['bowling_team_index'].loc[0]]['bowlindex_1'].unique()[0]\n",
        "inputdf['batting_strike']=0\n",
        "batting_index=0\n",
        "batting_strike=0\n",
        "bowling_index=0\n",
        "print(inputdf)\n",
        "batsmen_list = inputdf.loc[0]['batting_index'].split(',')\n",
        "#print(batsmen_list)\n",
        "for batsman in batsmen_list:\n",
        "    print(batsman)\n",
        "    batting_index = batting_index + batsmandata[batsmandata['batsman']==batsman]['index_1'].unique()[0]\n",
        "\n",
        "inputdf['batting_index'].loc[0] = batting_index\n",
        "\n",
        "for batsman in batsmen_list:\n",
        "    print(batsman,batting_strike)\n",
        "    batting_strike = batting_strike + batsmandata[batsmandata['batsman']==batsman]['strike_1'].unique()[0]\n",
        "\n",
        "inputdf['batting_strike'].loc[0] = batting_strike/len(batsmen_list)\n",
        "\n",
        "bowler_list = inputdf.loc[0]['bowling_index'].split(',')\n",
        "#print(bowler_list)\n",
        "for bowler in bowler_list:\n",
        "    #print(bowler)\n",
        "    bowling_index = bowling_index + bowlerdata[bowlerdata['bowler']==bowler]['A1index'].unique()[0]\n",
        "inputdf['bowling_index'].loc[0] = bowling_index/len(bowler_list)\n",
        "\n",
        "inputdf['ppwickets'].loc[0] = len(batsmen_list)-2"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "  innings venue_index  ... ppwickets batting_strike\n",
            "0       1     150.556  ...       NaN              0\n",
            "\n",
            "[1 rows x 8 columns]\n",
            "DA Warner\n",
            "JM Bairstow\n",
            "MK Pandey\n",
            "KS Williamson\n",
            "KM Jadhav\n",
            "DA Warner 0\n",
            "JM Bairstow 138.69485294117646\n",
            "MK Pandey 272.9923736023335\n",
            "KS Williamson 400.04955630805176\n",
            "KM Jadhav 535.7961626428934\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/pandas/core/indexing.py:670: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  iloc._setitem_with_indexer(indexer, value)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 77
        },
        "id": "lMce5fi6_JoW",
        "outputId": "7b860e12-a252-457f-a084-1b8816efd895"
      },
      "source": [
        "inputdf"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>innings</th>\n",
              "      <th>venue_index</th>\n",
              "      <th>batting_team_index</th>\n",
              "      <th>bowling_team_index</th>\n",
              "      <th>batting_index</th>\n",
              "      <th>bowling_index</th>\n",
              "      <th>ppwickets</th>\n",
              "      <th>batting_strike</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>150.556</td>\n",
              "      <td>175.463</td>\n",
              "      <td>26.1711</td>\n",
              "      <td>165.063</td>\n",
              "      <td>4.80169</td>\n",
              "      <td>3</td>\n",
              "      <td>136.133592</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  innings venue_index  ... ppwickets batting_strike\n",
              "0       1     150.556  ...         3     136.133592\n",
              "\n",
              "[1 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 182
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 521
        },
        "id": "gNLz2nZ3Li2L",
        "outputId": "d15dcc4b-23f3-4f44-d350-2a1068940a1a"
      },
      "source": [
        "venuedata"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>venue</th>\n",
              "      <th>runs</th>\n",
              "      <th>wickets</th>\n",
              "      <th>matches</th>\n",
              "      <th>balls</th>\n",
              "      <th>index1</th>\n",
              "      <th>index2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Wankhede Stadium</td>\n",
              "      <td>14873</td>\n",
              "      <td>522</td>\n",
              "      <td>45</td>\n",
              "      <td>10908</td>\n",
              "      <td>169.577778</td>\n",
              "      <td>160.933333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Eden Gardens</td>\n",
              "      <td>9803</td>\n",
              "      <td>347</td>\n",
              "      <td>30</td>\n",
              "      <td>6963</td>\n",
              "      <td>171.566667</td>\n",
              "      <td>155.200000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Punjab Cricket Association Stadium, Mohali</td>\n",
              "      <td>7021</td>\n",
              "      <td>219</td>\n",
              "      <td>21</td>\n",
              "      <td>5003</td>\n",
              "      <td>169.571429</td>\n",
              "      <td>164.761905</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>M Chinnaswamy Stadium</td>\n",
              "      <td>10210</td>\n",
              "      <td>373</td>\n",
              "      <td>31</td>\n",
              "      <td>7166</td>\n",
              "      <td>172.483871</td>\n",
              "      <td>156.870968</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Saurashtra Cricket Association Stadium</td>\n",
              "      <td>3316</td>\n",
              "      <td>107</td>\n",
              "      <td>10</td>\n",
              "      <td>2368</td>\n",
              "      <td>168.900000</td>\n",
              "      <td>162.700000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Arun Jaitley Stadium</td>\n",
              "      <td>9088</td>\n",
              "      <td>348</td>\n",
              "      <td>28</td>\n",
              "      <td>6694</td>\n",
              "      <td>170.178571</td>\n",
              "      <td>154.392857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Rajiv Gandhi International Stadium</td>\n",
              "      <td>9154</td>\n",
              "      <td>361</td>\n",
              "      <td>30</td>\n",
              "      <td>7176</td>\n",
              "      <td>158.866667</td>\n",
              "      <td>146.266667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...</td>\n",
              "      <td>2289</td>\n",
              "      <td>104</td>\n",
              "      <td>8</td>\n",
              "      <td>1869</td>\n",
              "      <td>155.750000</td>\n",
              "      <td>130.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Green Park</td>\n",
              "      <td>1298</td>\n",
              "      <td>49</td>\n",
              "      <td>4</td>\n",
              "      <td>921</td>\n",
              "      <td>161.250000</td>\n",
              "      <td>163.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Shaheed Veer Narayan Singh International Stadium</td>\n",
              "      <td>596</td>\n",
              "      <td>23</td>\n",
              "      <td>2</td>\n",
              "      <td>483</td>\n",
              "      <td>148.000000</td>\n",
              "      <td>150.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Holkar Cricket Stadium</td>\n",
              "      <td>2318</td>\n",
              "      <td>69</td>\n",
              "      <td>7</td>\n",
              "      <td>1557</td>\n",
              "      <td>166.857143</td>\n",
              "      <td>164.285714</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>MA Chidambaram Stadium</td>\n",
              "      <td>2563</td>\n",
              "      <td>100</td>\n",
              "      <td>9</td>\n",
              "      <td>2130</td>\n",
              "      <td>150.555556</td>\n",
              "      <td>134.222222</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Sawai Mansingh Stadium</td>\n",
              "      <td>4403</td>\n",
              "      <td>156</td>\n",
              "      <td>14</td>\n",
              "      <td>3286</td>\n",
              "      <td>162.357143</td>\n",
              "      <td>152.142857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Sheikh Zayed Stadium</td>\n",
              "      <td>6919</td>\n",
              "      <td>231</td>\n",
              "      <td>22</td>\n",
              "      <td>5294</td>\n",
              "      <td>162.500000</td>\n",
              "      <td>152.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Dubai International Cricket Stadium</td>\n",
              "      <td>8338</td>\n",
              "      <td>306</td>\n",
              "      <td>26</td>\n",
              "      <td>6338</td>\n",
              "      <td>171.538462</td>\n",
              "      <td>149.153846</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Sharjah Cricket Stadium</td>\n",
              "      <td>4095</td>\n",
              "      <td>131</td>\n",
              "      <td>12</td>\n",
              "      <td>2878</td>\n",
              "      <td>177.916667</td>\n",
              "      <td>163.333333</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                venue  ...      index2\n",
              "0                                    Wankhede Stadium  ...  160.933333\n",
              "1                                        Eden Gardens  ...  155.200000\n",
              "2          Punjab Cricket Association Stadium, Mohali  ...  164.761905\n",
              "3                               M Chinnaswamy Stadium  ...  156.870968\n",
              "4              Saurashtra Cricket Association Stadium  ...  162.700000\n",
              "5                                Arun Jaitley Stadium  ...  154.392857\n",
              "6                  Rajiv Gandhi International Stadium  ...  146.266667\n",
              "7   Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...  ...  130.375000\n",
              "8                                          Green Park  ...  163.250000\n",
              "9    Shaheed Veer Narayan Singh International Stadium  ...  150.000000\n",
              "10                             Holkar Cricket Stadium  ...  164.285714\n",
              "11                             MA Chidambaram Stadium  ...  134.222222\n",
              "12                             Sawai Mansingh Stadium  ...  152.142857\n",
              "13                               Sheikh Zayed Stadium  ...  152.000000\n",
              "14                Dubai International Cricket Stadium  ...  149.153846\n",
              "15                            Sharjah Cricket Stadium  ...  163.333333\n",
              "\n",
              "[16 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 183
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5OojlubuHwcz"
      },
      "source": [
        "inputdata = np.array(inputdf[['innings', 'venue_index', 'batting_team_index', 'bowling_team_index',\n",
        "       'batting_index','bowling_index']])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NrU8lllrJ7am",
        "outputId": "76211c16-b378-4aa6-844f-e3d12584183b"
      },
      "source": [
        "inputdata"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1, 150.55555555555554, 175.46341463414635, 26.17105263157895,\n",
              "        165.06349206349205, 4.801693905054655]], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 185
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mT2TkKwDH7ae",
        "outputId": "b1ae81f2-7616-4290-d9c2-378f6fd3e045"
      },
      "source": [
        "regressor.predict(inputdata)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[  6.6142891 , 147.44917962]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 186
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DDcBuY2N8VDK",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1d5f03cc-3ee4-41c4-ffa4-90c536ab01df"
      },
      "source": [
        "clf.predict(inputdf)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[  5., 162.]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 133
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5MZDIusrSbuR",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d8e8dca8-2db7-4b32-dab4-712bf910d5fc"
      },
      "source": [
        "y_test"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([164., 195., 151., 155., 164., 218., 169., 154., 131., 149., 160.,\n",
              "       149., 170., 156.,  84.,  88., 208., 167., 202., 114., 111., 206.,\n",
              "       154., 185., 151., 174., 142., 194., 158., 179.])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0eblZVOwIKv8",
        "outputId": "d2f42c84-b266-45ed-dc96-a0caf28bbb58"
      },
      "source": [
        "import pickle \n",
        "print(pickle.format_version)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "4.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DeFQnKRAChGp"
      },
      "source": [
        "import pickle\n",
        "pickle.dump(regressor, open('model.xyz','wb'))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OmUg7JPiC3aq"
      },
      "source": [
        "pickle.dump(classifier, open('model2.xyz','wb'))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q1Zg6STnC9vA"
      },
      "source": [
        "venuedata.to_csv('venuedata.csv')\n",
        "teamdata.to_csv('teamdata.csv')\n",
        "batsmandata.to_csv('batsmandata.csv')\n",
        "bowlerdata.to_csv('bowlerdata.csv')"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}