KEY FEATURES (RESEARCH MODEL)
- Rolling L5 / L10 averages and EWM (half-life 8) of each stat and of minutes
- Opponent-allowed rates
- Rest days and back-to-back flags
- Missing-teammate minutes and usage redistribution (experimental, off by default)
Against prices. No edge claimable. Accuracy gains over a rolling mean are 0.5 - 2.7% of MAE, the kind of gap a book's own projection already contains. Minutes and availability are the main driver the model does not have.
What the daily board runs. The daily board runs an empirical estimator: exponentially weighted game-log average, blended with a usage-adjusted rate, scaled by an opponent-allowed factor, with a negative-binomial or normal spread fitted from the league's own game-to-game variance. NFL means are calibrated on 2021-2025 outcomes (accuracy only: the pool of quoted players is over-projected by 3-7%). It does not model injuries, lineups, minutes, weather or teammate absences, and it has not been validated against prices.
Source: NBA props evaluation, 2026-10-14 (CRPS: 2025-26 season; Brier / ECE: proxy lines, PIT-recalibrated). Baselines are the best trailing-average forecaster in each study.