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Lafayette

Season: 2026 2025 2024 2022 2020 2019 2018 2017 2015 2014
Also known as: Lafayette
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 → 1032 (#228) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1052 (#251) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1004 (#417) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +15.6 (#163) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.999 (#88) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +29.5 More → 0.968 (#116) AdjNet +29.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +29.3 More → 0.971 (#116) AdjNet +29.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.5 | AdjD 61.6 More → 0.836 (#159) AdjO 79.5 | AdjD 61.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.3 | AdjD 72.5 More → 0.564 (#271) AdjO 75.3 | AdjD 72.5
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 (#105) 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 → 0.761 (#121) 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 → 1088 (#209) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-05 vs Dickinson W 79 - 44

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%
Caleb Williams - 1 21.9 16.0 4.0 4.0 0.0 0.0 1.0 12.0 11.0 63 6.3 39.4 50.0 42.9 100.0 4.84 64.3 62.5
Andrew Phillips - 1 21.8 15.0 5.0 3.0 1.0 1.0 1.0 7.0 17.0 - - - 57.1 50.0 100.0 - 85.6 78.6
Christian Humphrey-Rembert - 1 19.7 9.0 4.0 1.0 0.0 0.0 0.0 9.0 5.0 - - - 22.2 25.0 100.0 - 41.8 27.8
KaiMani Murdock - 1 18.2 9.0 4.0 0.0 2.0 1.0 2.0 10.0 4.0 - - - 30.0 28.6 50.0 - 41.4 40.0
Luke Bevilacqua - 1 12.6 6.0 2.0 1.0 0.0 0.0 2.0 2.0 5.0 - - - 50.0 0 66.7 - 64.7 50.0
Luke Azzinaro - 1 7.0 4.0 2.0 0.0 1.0 0.0 0.0 5.0 2.0 - - - 40.0 0.0 0 - 40.0 40.0
Mark Butler - 1 21.2 4.0 3.0 1.0 2.0 0.0 0.0 4.0 6.0 0 0.0 0.0 50.0 0.0 0 0.3 50.0 50.0
Folabomi Fayemi - 1 8.0 4.0 1.0 0.0 0.0 1.0 0.0 6.0 0.0 - - - 33.3 0 0 - 33.3 33.3
Shareef Jackson - 1 14.6 4.0 5.0 0.0 1.0 0.0 3.0 4.0 3.0 - - - 50.0 0 0 - 50.0 50.0
Ryan Pettit - 1 15.8 4.0 2.0 1.0 0.0 0.0 0.0 2.0 5.0 - - - 100.0 0 0 - 100.0 100.0
Malik Rasul - 1 18.6 4.0 7.0 2.0 4.0 1.0 1.0 3.0 14.0 - - - 33.3 0.0 40.0 - 38.5 33.3
Misha Bednostin - 1 12.7 0.0 2.0 2.0 2.0 0.0 1.0 1.0 4.0 - - - 0.0 0 0 - 0.0 0.0
Ashton Wallace - 1 8.0 0.0 5.0 0.0 0.0 0.0 2.0 2.0 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