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Lehigh

Season: 2026 2025 2024 2023 2022 2020 2018 2017 2015 2013
Also known as: Lehigh
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 → 1019 (#324) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1023 (#340) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 996 (#489) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +5.7 (#278) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.997 (#120) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +26.5 More → 0.955 (#134) AdjNet +26.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +26.4 More → 0.960 (#132) AdjNet +26.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 82.5 | AdjD 63.9 More → 0.844 (#151) AdjO 82.5 | AdjD 63.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 76.6 | AdjD 73.3 More → 0.574 (#258) AdjO 76.6 | AdjD 73.3
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 → 0.692 (#214) 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 → 0.660 (#249) 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 (#206) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-06 vs Valley Forge W 91 - 52

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%
Andrew Urosevic - 1 22.1 23.0 1.0 2.0 0.0 0.0 0.0 14.0 12.0 - - - 64.3 50.0 0 - 82.1 82.1
Edouard Benoit - 1 24.3 12.0 5.0 1.0 2.0 0.0 2.0 12.0 6.0 - - - 41.7 0.0 100.0 - 46.6 41.7
Nasir Whitlock - 1 24.9 12.0 7.0 4.0 1.0 0.0 2.0 11.0 11.0 - - - 45.5 50.0 0.0 - 52.4 54.5
Joshua Ingram - 1 25.7 11.0 5.0 2.0 0.0 1.0 1.0 6.0 12.0 24 1.3 9.6 66.7 33.3 100.0 0.79 79.9 75.0
Peter Kramer - 1 25.8 9.0 2.0 3.0 1.0 1.0 2.0 9.0 5.0 - - - 33.3 25.0 100.0 - 47.7 44.4
Hank Alvey - 1 13.3 8.0 7.0 1.0 1.0 5.0 1.0 4.0 17.0 - - - 100.0 0 0 - 100.0 100.0
Caleb Thomas - 1 25.8 6.0 3.0 8.0 5.0 0.0 3.0 5.0 14.0 112 5.1 27.1 20.0 0.0 66.7 0.54 39.3 20.0
Henri Adiassa - 1 14.2 4.0 9.0 1.0 1.0 0.0 1.0 1.0 13.0 - - - 100.0 0 66.7 - 86.2 100.0
Jake Pike - 1 8.7 4.0 1.0 0.0 0.0 0.0 0.0 3.0 2.0 - - - 33.3 0.0 100.0 - 51.5 33.3
Tommy Conniff - 1 8.8 2.0 3.0 0.0 0.0 0.0 1.0 1.0 3.0 - - - 100.0 0 0.0 - 69.4 100.0
Alfredo Addesa - 1 6.6 0.0 1.0 0.0 0.0 0.0 1.0 1.0 -1.0 - - - 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