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Wis.-Stevens Point

Season:
Also known as: Wis.-Stevens Point
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 → 1051 (#130) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1166 (#75) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1044 (#199) HCA +62 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1003 (#420) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +18.5 (#40) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +14.9 (#160) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +4.4 (#289) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.750 (#330) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +15.9 More → 0.899 (#159) NetEff +15.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +25.7 More → 0.951 (#165) AdjNet +25.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +25.8 More → 0.955 (#166) AdjNet +25.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.1 | AdjD 53.2 More → 0.795 (#180) AdjO 68.1 | AdjD 53.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.2 | AdjD 52.4 More → 0.744 (#90) AdjO 64.2 | AdjD 52.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.0 | AdjD 60.0 More → 0.523 (#347) AdjO 61.0 | AdjD 60.0
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 → 0.781 (#144) 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 → 0.549 (#340) 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 → 0.783 (#135) 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 → 0.514 (#368) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 97 | GP 22 More → 1188 (#75) RD 97 | GP 22
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1000 (#313) RD 350 | GP 1

2026 Schedule & Results

No games found for this season.

2026 Roster

No roster data available for this season.