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SUNY New Paltz

Season:
Also known as: SUNY New Paltz
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 → 1090 (#85) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1254 (#30) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1227 (#15) HCA +62 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1007 (#381) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +9.1 (#100) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +7.1 (#247) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -3.0 (#407) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.828 (#286) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +9.0 More → 0.794 (#223) NetEff +9.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +14.3 More → 0.839 (#250) AdjNet +14.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +13.7 More → 0.835 (#252) AdjNet +13.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.8 | AdjD 58.9 More → 0.671 (#261) AdjO 66.8 | AdjD 58.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.1 | AdjD 52.8 More → 0.718 (#109) AdjO 63.1 | AdjD 52.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.0 | AdjD 60.4 More → 0.514 (#365) AdjO 61.0 | AdjD 60.4
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 → 0.798 (#132) 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 → 0.499 (#382) 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 → 0.802 (#127) 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 → 0.479 (#403) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 109 | GP 23 More → 1367 (#14) RD 109 | GP 23
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1000 (#307) RD 350 | GP 1

2026 Schedule & Results

No games found for this season.

2026 Roster

No roster data available for this season.