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Allegheny

Season: 2026 2014
Also known as: Allegheny
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 → 954 (#401) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 936 (#375) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 940 (#570) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -3.9 (#424) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.163 (#503) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -11.9 More → 0.163 (#377) NetEff -11.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +1.7 More → 0.550 (#385) AdjNet +1.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +1.2 More → 0.535 (#398) AdjNet +1.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.4 | AdjD 63.8 More → 0.515 (#397) AdjO 64.4 | AdjD 63.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.7 | AdjD 64.2 More → 0.420 (#506) AdjO 60.7 | AdjD 64.2
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 → 0.389 (#457) 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 → 0.410 (#440) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 314 | GP 1 More → 872 (#412) RD 314 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-12 vs Edinboro L 59 - 68

2026 Roster

Minutes by Position

The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Eyra Co - 1 34.5 17.0 8.0 1.0 0.0 1.0 4.0 13.0 10.0 - - - 53.8 60.0 0 - 65.4 65.4
Jess Bickart - 1 38.9 13.0 5.0 5.0 0.0 0.0 2.0 16.0 5.0 - - - 31.2 27.3 0 - 40.6 40.6
Sarah Santicola - 1 34.3 9.0 14.0 0.0 1.0 5.0 5.0 7.0 17.0 - - - 42.9 0 50.0 - 46.7 42.9
Ava Kobus - 1 27.5 8.0 5.0 2.0 1.0 0.0 2.0 9.0 5.0 - - - 33.3 0 100.0 - 40.5 33.3
Isabella Antonacci - 1 38.8 7.0 5.0 7.0 0.0 0.0 1.0 10.0 8.0 - - - 20.0 16.7 100.0 - 32.2 25.0
Kate Leach - 1 17.9 5.0 0.0 2.0 1.0 0.0 2.0 3.0 3.0 - - - 66.7 0 50.0 - 64.4 66.7
Ashlan Price - 1 0.3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 59 5.4 26.4 0 0 0 3.16 0 0
Bella Wilson - 1 7.9 0.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 - - - 0.0 0.0 0 - 0.0 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG