🐻⬇️🏀

Colgate

Season: 2026 2025 2024 2023
Also known as: Colgate
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1071 (#197) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1014 (#339) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +9.0 (#219) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#74) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +28.1 More → 0.988 (#88) NetEff +28.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +53.4 More → 0.998 (#66) AdjNet +53.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +54.4 More → 0.999 (#56) AdjNet +54.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.8 | AdjD 47.4 More → 0.950 (#83) AdjO 79.8 | AdjD 47.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.1 | AdjD 58.3 More → 0.565 (#276) AdjO 61.1 | AdjD 58.3
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 → 0.763 (#157) 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 → 0.729 (#183) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1089 (#176) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Ithaca W 66 - 45

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%
Tatiana Matthews - 1 22.1 16.0 2.0 3.0 2.0 0.0 2.0 12.0 9.0 90 4.1 20.2 50.0 0.0 80.0 0.93 56.3 50.0
Ella Meabon - 1 18.9 15.0 4.0 6.0 1.0 0.0 1.0 11.0 14.0 - - - 54.5 0 100.0 - 60.9 54.5
Grace Klag - 1 17.2 13.0 8.0 0.0 1.0 1.0 1.0 8.0 14.0 - - - 62.5 0 75.0 - 66.6 62.5
Kennedy Parrott - 1 15.8 9.0 5.0 0.0 1.0 0.0 3.0 6.0 6.0 - - - 33.3 50.0 100.0 - 58.0 41.7
Abbey Ferguson - 1 31.1 6.0 7.0 1.0 0.0 1.0 1.0 5.0 9.0 -2 -0.2 -1.1 60.0 0 0 1.49 60.0 60.0
Ella Mahaffey - 1 9.0 3.0 1.0 0.0 0.0 0.0 1.0 4.0 -1.0 - - - 25.0 33.3 0 - 37.5 37.5
Lara Cook - 1 26.1 2.0 4.0 0.0 1.0 0.0 2.0 5.0 0.0 - - - 20.0 0.0 0 - 20.0 20.0
Christina Midgette - 1 8.7 2.0 2.0 0.0 0.0 1.0 1.0 3.0 1.0 - - - 33.3 0 0 - 33.3 33.3
Amarah Streiff - 1 24.9 0.0 1.0 0.0 1.0 1.0 0.0 4.0 -1.0 - - - 0.0 0.0 0 - 0.0 0.0
Laila Hankerson - 1 24.0 0.0 3.0 2.0 2.0 0.0 3.0 7.0 -3.0 - - - 0.0 0.0 0 - 0.0 0.0
Karena Eberts - 1 2.1 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0.0 0 - 0.0 0.0

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

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