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Colgate

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

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.

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

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-29 vs Keuka W 97 - 22

2024 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%
Morgan McMahon - 1 27.0 20.0 3.0 6.0 3.0 0.0 2.0 12.0 18.0 - - - 58.3 50.0 100.0 - 75.1 70.8
Sophia Diehl - 1 25.0 15.0 5.0 1.0 2.0 1.0 1.0 13.0 10.0 - - - 53.8 0 100.0 - 55.8 53.8
Chidinma Okafor - 1 24.0 14.0 7.0 1.0 1.0 1.0 3.0 8.0 13.0 - - - 62.5 0 80.0 - 68.6 62.5
Madison Schiller - 1 26.0 13.0 5.0 6.0 3.0 0.0 2.0 9.0 16.0 - - - 66.7 33.3 0 - 72.2 72.2
Ella Meabon - 1 28.0 13.0 4.0 5.0 3.0 0.0 1.0 7.0 17.0 - - - 71.4 50.0 100.0 - 82.5 78.6
Tiasia McMillan - 1 19.0 12.0 6.0 4.0 3.0 1.0 0.0 13.0 13.0 - - - 46.2 0.0 0 - 46.2 46.2
Christina Midgette - 1 24.0 6.0 6.0 5.0 5.0 0.0 1.0 5.0 16.0 - - - 60.0 0 0 - 60.0 60.0
Abbey Ferguson - 1 26.0 4.0 7.0 2.0 0.0 2.0 2.0 7.0 6.0 - - - 28.6 0.0 0 0.22 28.6 28.6
Maryan Eniafe - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Lara Cook - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 0.27 0 0
Amarah Streiff - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 0.12 0 0
Morgan Frank - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Grace Klag - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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