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Wis.-Stout

Also known as: Wis.-Stout

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 โ†’ 952 (#185) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1018 (#156) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 947 (#487) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ +7.7 (#129) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More โ†’ +3.4 (#269) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.595 (#129) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +51.5 More โ†’ 0.995 (#65) NetEff +51.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +17.2 More โ†’ 0.879 (#51) AdjNet +17.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +17.3 More โ†’ 0.883 (#53) AdjNet +17.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 78.0 | AdjD 64.8 More โ†’ 0.769 (#50) AdjO 78.0 | AdjD 64.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.5 | AdjD 73.1 More โ†’ 0.509 (#280) AdjO 73.5 | AdjD 73.1
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 โ†’ 0.560 (#275) 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 โ†’ 0.541 (#279) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 89 | GP 23 More โ†’ 982 (#248) RD 89 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-13 @ Michigan Tech - Incomplete score

2026 Roster

No roster data available for this season.