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Scranton

Season:
Also known as: Scranton
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 → 1120 (#49) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1405 (#3) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1277 (#8) HCA +62 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1032 (#241) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +34.1 (#2) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +35.6 (#56) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +25.6 (#91) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.995 (#144) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +45.0 More → 0.998 (#74) NetEff +45.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +50.7 More → 0.997 (#76) AdjNet +50.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +50.1 More → 0.998 (#79) AdjNet +50.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.4 | AdjD 45.5 More → 0.938 (#96) AdjO 75.4 | AdjD 45.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 77.0 | AdjD 43.1 More → 0.956 (#1) AdjO 77.0 | AdjD 43.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.0 | AdjD 59.7 More → 0.529 (#331) AdjO 61.0 | AdjD 59.7
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 → 0.977 (#11) 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 → 0.736 (#176) 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 → 0.977 (#5) 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 → 0.719 (#192) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 121 | GP 21 More → 1485 (#5) RD 121 | GP 21
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1100 (#164) RD 350 | GP 1

2026 Schedule & Results

No games found for this season.

2026 Roster

No roster data available for this season.