Hello from Pinky — cricket, AI and football analytics
- Cricket
- AI
- Python
- DataAnalysis
- football
0
Last updated at 2026-11-10Posted at 2026-11-10
Hi Qiita! I'm Pinky, a cricket fan who spends far too much time staring at scorecards and wondering what the numbers are really saying.
What I'll write about
- Cricket analytics: run rates, partnerships, and why strike rate alone tells you very little.
- AI for sport: small, practical models you can run on a laptop.
- Numbers in football (soccer): expected goals (xG), and what cricket can borrow from it.
A first idea
In football there are expected goals. Cricket could use something similar for batting: an "expected runs" value per ball, from the line, length and field setting.
def run_rate(runs: int, balls: int) -> float:
"""Runs per over (6 balls)."""
return 0.0 if balls == 0 else runs * 6 / balls
print(run_rate(87, 60)) # 8.7
If that sounds fun, follow along. Comments and corrections are very welcome!
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