Model Validation — current model: 2025-2026 Season

Held-out backtest results for the current production model (version ridge_logistic_v1, fit for the 2025-2026 Season) against recent completed seasons it never trained on - each season's ratings and prediction models are refit using only information available before that season's own tournament, then scored against what actually happened. This is a read-only summary; the interactive hyperparameter-sweep tool lives in Administration. For a specific season's actual, game-by-game result (not this aggregate backtest), see Bracket Results.

SeasonGames gradedBrier scoreLog loss AccuracyMargin MAE
2020-2021 Season 66 0.2361 0.6588 59.1% 11.35
2021-2022 Season 67 0.1938 0.5722 68.7% 9.48
2022-2023 Season 67 0.2243 0.6447 62.7% 10.28
2023-2024 Season 67 0.1927 0.5632 70.1% 10.67
2024-2025 Season 67 0.1642 0.4980 77.6% 8.76

See the Data Dictionary for what each of these metrics actually measures - lower Brier score / log loss / margin MAE is better; higher accuracy is better. Precomputed once per model fit, not recomputed on this page load.