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Carnegie Mellon

Season:
Also known as: Carnegie Mellon
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 → 1129 (#41) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1193 (#56) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1144 (#62) HCA +62 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1033 (#238) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +16.3 (#51) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +19.5 (#119) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +9.2 (#216) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.728 (#344) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +9.6 More → 0.790 (#228) NetEff +9.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +26.1 More → 0.953 (#164) AdjNet +26.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +26.1 More → 0.956 (#165) AdjNet +26.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.7 | AdjD 55.9 More → 0.808 (#170) AdjO 71.7 | AdjD 55.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.7 | AdjD 45.2 More → 0.803 (#57) AdjO 60.7 | AdjD 45.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.0 | AdjD 58.9 More → 0.547 (#309) AdjO 61.0 | AdjD 58.9
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 → 0.850 (#104) 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 → 0.619 (#285) 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 → 0.851 (#95) 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 → 0.600 (#296) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 100 | GP 20 More → 1244 (#48) RD 100 | GP 20

2026 Schedule & Results

No games found for this season.

2026 Roster

No roster data available for this season.