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MUW

Season:
Also known as: MUW
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 907 (#398) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 765 (#549) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 996 (#469) HCA +62 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 815 (#674) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -20.1 (#355) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -21.5 (#618) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -23.1 (#635) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.111 (#627) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -14.6 More → 0.101 (#488) NetEff -14.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -33.7 More → 0.020 (#641) AdjNet -33.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -34.5 More → 0.017 (#640) AdjNet -34.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 56.6 | AdjD 80.2 More → 0.105 (#652) AdjO 56.6 | AdjD 80.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.0 | AdjD 63.8 More → 0.437 (#498) AdjO 61.0 | AdjD 63.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.9 | AdjD 73.3 More → 0.212 (#660) AdjO 58.9 | AdjD 73.3
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.264 (#556) Blend of Elo, BT, Margin, PythLog, PtsOD
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.105 (#658) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.269 (#555) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.117 (#656) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 105 | GP 22 More → 667 (#550) RD 105 | GP 22

2026 Schedule & Results

No games found for this season.

2026 Roster

No roster data available for this season.