WPA-POWERED BASKETBALL ANALYTICS

Who contributes to winning — at every level.

Possession-level win probability impact for every player, pair, and lineup. Validated with r=0.22 cross-season prediction.

Players
Pairs scored
Possessions
0.22
Prediction r

Who wins together

Win contribution per 100 possessions, EB-shrunk

Individual impact

Shapley WPA per 100 possessions

All players

Best lineups

5-man groups by win contribution

Explore all lineups

How it works

01
Win probability model

LSTM trained on play-by-play data predicts home win probability at every event. WPA = change per possession.

02
Shapley attribution

Ridge regression assigns WPA to players (coefficients = Shapley values). Cross-season r=0.22.

03
Every grouping level

Score players, pairs, trios, quartets, lineups. Empirical Bayes shrinkage. Confidence tiers.