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Model Card

Sequential event model on team stocks per 100 possessions, where stocks = steals + blocks. Positive values mean a player's minutes tend to create more disruptive defensive events for their team.

Validation here is out of sample. From two weeks into each season, a model trained on earlier games predicts each following week without learning from that week. Predictions use the players' observed minutes; each point is the minutes-weighted predicted and actual rate in that player's games. When validation was computed, its source snapshot was verified against this published model revision.

Selected League / Season

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Held-out player predictions

WNBA 2026: 182 players with at least 100 held-out minutes. Across players, predicted and actual correlate at r = 0.93 (weighted by held-out minutes). Across these player averages, weighted R² = 0.80 (relative to the weighted mean of actual held-out outcomes). Per held-out team game, squared error is 10.1% below predicting the league average. Each dot is a player (182 with the most held-out minutes are plotted; larger dots had more); on the dashed line, actual equals predicted. Select a dot for the player.

Output Coverage

Rows in each model's current published run (or legacy rows where no run is selected).