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Model Card

Box: game totals spread by minutes; cannot separate teammates; for seasons without play-by-play. Defensive side of the points Box Elo. Positive values mean a player's minutes tend to reduce the opponent's points per 100 possessions.

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. The source inputs were not verified as identical to the published model revision.

Selected League / Season

Change league with the League selector at the top of the page.

Held-out player predictions

Plot Points Box Elo (defense) against any counting stat (one point per player; choose any season with a served list).

NCAAW 2025-2026: 3744 players with at least 100 held-out minutes. Across players, predicted and actual correlate at r = 0.90 (weighted by held-out minutes). Across these player averages, weighted R² = 0.73 (relative to the weighted mean of actual held-out outcomes). Per held-out team game, squared error is 24.9% below predicting the league average. Each dot is a player (500 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.

Held-out miss against playing time

Each dot is a player's actual minus predicted opponent points per 100 possessions in the player's games against their held-out minutes (log scale). Orange points are the minutes-weighted mean miss of eight equal groups of players by playing time: a model that shrinks its low-minutes players too far, or not far enough, shows a slope.

Output Coverage

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