Missing Football Data Is Not Zero
An empty xG field is not a goalless attack. How to distinguish missing, stale and unavailable football data, choose fallbacks and make the limitations visible.
Deep dives into football quantitative modeling, expected goals (xG) audits, transparency protocols, and empirical evaluations of AI predictive claims.
An empty xG field is not a goalless attack. How to distinguish missing, stale and unavailable football data, choose fallbacks and make the limitations visible.
A football backtest can look accurate because it uses information unavailable before kickoff. Check timestamps, revised data, rolling windows and validation splits.