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Model Card

Neutral-context sum of Points For Elo and Points Prevention Elo. This is the cleanest interpretable 2D replacement for 'offense points created / defense points prevented' before moving to richer vector models.

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

Not enough held-out play to show a validation plot. NCAAM 2026-2027: 0 eligible players. A player needs at least 100 held-out minutes. Computed 2026-11-09 13:21:01.369861+00:00.

NCAAM 2025-2026: 3767 players with at least 100 held-out minutes. Across players, predicted and actual correlate at r = 0.91 (weighted by held-out minutes). Across these player averages, weighted R² = 0.71 (relative to the weighted mean of actual held-out outcomes). Per held-out team game, squared error is 20.5% 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.

Output Coverage

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