Behind the scenes

What football can learn from other sports

Zusammenfassung + Auszug · vollständiges Dokument umfasst 1,192 Wörter

Zusammenfassung

Most of the statistical techniques we use weren't invented for football — they came from basketball, baseball, tennis, and American football. Here's what each sport contributed and how we've adapted those ideas.

Auszug

Basketball (NBA) — the player-rating template

The NBA's analytics revolution is roughly 15 years ahead of football's because the data was easier (fewer players per side, more discrete possessions, free public play-by-play) and the league embraced it institutionally.

  • Plus-Minus / RAPM (Sill, 2010 and later): the best-validated "absolute player quality" rating in any team sport. Solves the linear-system problem with ridge regression and an informative prior. Football's RAPM analogues (see player-quality.md) are a direct port; the data and lineup-rotation conditions are harder, but the template is the same.
  • Box-score plus-minus (BPM, RAPTOR, EPM, LEBRON): regress RAPM ratings on per-minute box-score features, giving a player rating computable from box scores alone. Football's vendor-specific composite ratings (StatsBomb player ratings, FBref Goals Created) follow the same pattern.

…

Vollständiges Dokument

Pro Pass

Möchten Sie das vollständige Dokument?

What football can learn from other sports umfasst 1,192 Wörter. Der Pass schaltet dieses Dokument und jede Forschungsnotiz in voller Länge frei, plus spielbezogene Wahrscheinlichkeiten, den Vier-Modell-Vergleich und die taktische Analyse pro Spiel.

View pricing →

Every forecast graded against the real result, scored on 987 matches since 2014. See the scorecard.

24h money-back, no questions asked·No subscription, no auto-renewal·Access through 31 Dec 2026. See refund policy.