🐻⬇️🏀

Colgate

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
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 1066 (#151) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1132 (#91) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1024 (#271) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +27.1 (#75) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.999 (#79) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +34.9 More → 0.983 (#66) AdjNet +34.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +34.7 More → 0.985 (#65) AdjNet +34.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 83.9 | AdjD 59.0 More → 0.906 (#89) AdjO 83.9 | AdjD 59.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 83.3 | AdjD 67.8 More → 0.805 (#26) AdjO 83.3 | AdjD 67.8
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 → 0.897 (#31) 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 → 0.874 (#28) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-29 @ SUNY Oneonta W 85 - 50
2025-12-06 vs St. John Fisher W 94 - 50

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%
Ben Tweedy - 2 23.9 16.0 3.5 3.0 0.5 0.0 1.0 8.5 13.5 - - - 70.6 50.0 75.0 - 78.0 76.5
Andrew Alekseyenko - 2 18.9 13.0 7.5 3.0 1.0 0.0 3.5 8.0 13.0 - - - 68.8 0.0 80.0 - 71.4 68.8
Josh Ahayere - 2 25.1 11.5 3.5 2.5 0.5 1.0 1.0 5.5 12.5 - - - 81.8 60.0 100.0 - 96.8 95.5
Jalen Cox - 2 22.4 11.5 3.5 6.0 2.0 0.0 0.5 8.0 14.5 58 3.9 137.7 62.5 66.7 50.0 -0.18 68.1 68.8
Sam Wright - 2 14.9 9.0 1.5 1.0 0.5 0.0 1.0 6.0 5.0 - - - 66.7 33.3 0 - 75.0 75.0
Jonathan Niv - 2 8.7 6.0 2.0 0.0 0.0 0.0 0.5 3.0 4.5 - - - 66.7 50.0 100.0 - 87.2 83.3
Kyle Carlesimo - 2 23.4 5.5 5.0 0.0 0.0 0.5 1.0 5.5 4.5 - - - 36.4 37.5 0 - 50.0 50.0
Cooper Wright - 2 16.8 5.0 2.5 1.0 0.0 0.5 0.0 2.0 7.0 - - - 100.0 0 66.7 - 94.0 100.0
Eyilayomi Odetoyinbo - 2 15.4 4.0 7.5 1.0 0.0 2.5 1.5 3.0 10.5 - - - 66.7 0 0 - 66.7 66.7
Charles Pugh - 2 9.1 4.0 0.5 1.0 0.0 0.0 0.0 3.0 2.5 - - - 50.0 50.0 0 - 66.7 66.7
Cameron Brennan - 2 9.8 2.0 2.0 1.0 0.0 0.5 1.0 3.5 1.0 - - - 28.6 0.0 0 - 28.6 28.6
Ethan Brown - 1 10.0 2.0 2.0 0.0 0.0 1.0 0.0 2.0 3.0 45 2.1 11.1 0.0 0.0 100.0 3.95 34.7 0.0
Brady Cummins - 1 13.7 2.0 0.0 3.0 0.0 0.0 1.0 2.0 2.0 - - - 50.0 0 0 - 50.0 50.0

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