"Welcome to the Football Data Analysis Project, where we delve into the intricate details of football match data to uncover insights and trends." "Our goal is to provide valuable information to team managers, enthusiastic fans, and fantasy game players, aiding them in making informed decisions and gaining a deeper understanding of team dynamics.“ Target Audience: Team Managers Fans

Fanatasy football manager players

Basic statistics Average goals per match-2 Maximum goals in a match-11 Total matches-6840 Total team -44

Team Performance Analysis

Team Form Analysis

Goal Difference Analysis1

Linear Regression Model Key Coeffecients- HTGS,ATGC, HTFormPts,ATFormPts,HTWinStreak3, ATLossStreak3 P-value <2.2e16 Rmse value-1.25 Mae-0.99

Interpretation of the model The model suggests that factors like the number of goals scored by the home team and away team, recent form, and the away team's losing streak can be predictors of the number of goals scored by the home team. However, the model's overall explanatory power is limited, as indicated by the low R-squared value. Audience Benefits: Team managers and fantasy game players can use the model to gain insights into potential factors influencing a team's goal-scoring performance. Fans might find it interesting to understand which aspects of team performance are statistically associated with goal-scoring.