Corrupted JSON files in 360 events data with null bytes and malformed arrays

[archit-manek]

Summary

Some files in the three-sixty directory are corrupted: they contain large sections of null bytes and malformed arrays, causing standard JSON parsers to fail.

Affected Files

• data/three-sixty/3835338.json

  • Line 181321: 16KB of null bytes in "location" array.
  • Structure: "location": [ [nulls] 0.0, 80.0 ],
  • Error: Unparseable by json.load(), missing closing bracket.

• data/three-sixty/3835342.json

  • Line 171856: Corrupted "visible_area" array with null bytes.
  • Structure: "visible_area": [ numbers, 83.8r" : false,
  • Error: json.JSONDecodeError on standard parse.

• data/three-sixty/3845506.json

  • Line 92794: Truncated text in JSON structure.
  • Structure: lse, (appears to be missing beginning of line)
  • Error: Expecting ',' delimiter on parse.

Reproduction

This issue can be reproduced by attempting to load the affected files using Pandas or JSON. For example:

# PANDAS
import pandas as pd

try:
    df = pd.read_json("data/three-sixty/3835338.json")
except Exception as e:
    print(f"FAILED: {e}")

# JSON
import json

with open("data/three-sixty/3835338.json") as f:
    json.load(f)  # Raises JSONDecodeError

Impact

• Standard tools (Python, Pandas, Polars) cannot load these files.
• Data ingestion pipelines have to skip the files.

Next Steps

I'm happy to help look into this further and contribute fixes if that would be useful.

Thank you for maintaining this dataset :)

[rafiktanger39-eng]

PANDAS

import pandas as pd

try:
df = pd.read_json("data/three-sixty/3835338.json")
except Exception as e:
print(f"FAILED: {e}")

JSON

import json

with open("data/three-sixty/3835338.json") as f:
json.load(f) # Raises JSONDecodeError

[rafiktanger39-eng]

from statsbombpy import sb

ID del partido que quieres analizar

match_id = 3795224 # ejemplo

Cargar eventos

events = sb.events(match_id=match_id)

Filtrar tiros

shots = events[events['type.name'] == 'Shot']

Coordenadas de inicio del tiro

x = shots['location'].apply(lambda p: p[0])
y = shots['location'].apply(lambda p: p[1])

Coordenadas finales del tiro

endx = shots['shot.end_location'].apply(lambda p: p[0] if isinstance(p, list) else None)
endy = shots['shot.end_location'].apply(lambda p: p[1] if isinstance(p, list) else None)

Colores según el resultado del tiro

colors = shots['shot.outcome.name'].map({
'Goal': 'green',
'Saved': 'blue',
'Blocked': 'orange',
'Off T': 'red',
'Off Target': 'red'
})

Tamaño del punto según xG

sizes = shots['shot.statsbomb_xg'] * 2000

from mplsoccer import Pitch
import matplotlib.pyplot as plt

Crear el campo

pitch = Pitch(pitch_type='statsbomb', line_color='black')
fig, ax = pitch.draw(figsize=(10, 7))

Dibujar flechas desde el origen del tiro hasta el punto final

pitch.arrows(x, y, endx, endy, ax=ax, width=1.2, color='gray', alpha=0.5)

Dibujar los tiros

pitch.scatter(x, y, ax=ax, c=colors, s=sizes, edgecolors='black')

plt.title("Mapa de Tiros — Partido StatsBomb")
plt.show()