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.
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Players
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Pairs scored
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Possessions
0.22
Prediction r
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.