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Wofford

Season: 2026 2025 2024 2023 2022 2020 2019 2017 2014
Also known as: Wofford
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 → 1020 (#230) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 998 (#292) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -6.8 (#422) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.996 (#34) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +22.4 More → 0.930 (#95) AdjNet +22.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +22.5 More → 0.935 (#92) AdjNet +22.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 87.3 | AdjD 69.3 More → 0.837 (#86) AdjO 87.3 | AdjD 69.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.7 | AdjD 75.0 More → 0.493 (#311) AdjO 74.7 | AdjD 75.0
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 → 0.478 (#332) 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 → 0.485 (#328) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-21 vs Erskine W 81 - 57

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%
Jayden Tyler - 1 22.7 13.0 1.0 2.0 0.0 1.0 1.0 7.0 9.0 - - - 57.1 57.1 33.3 - 78.1 85.7
Brian Sumpter - 1 26.8 11.0 9.0 0.0 0.0 2.0 2.0 5.0 15.0 - - - 100.0 100.0 0 - 110.0 110.0
Callum Richard - 1 21.3 10.0 4.0 1.0 0.0 0.0 1.0 6.0 8.0 - - - 83.3 0 0 - 83.3 83.3
Chace Watley - 1 21.7 10.0 3.0 3.0 1.0 0.0 1.0 9.0 7.0 - - - 33.3 33.3 50.0 - 46.5 44.4
Luke Flynn - 1 14.1 8.0 4.0 0.0 0.0 0.0 0.0 5.0 7.0 - - - 40.0 40.0 66.7 - 63.3 60.0
Rex Stirling - 1 14.6 8.0 8.0 0.0 1.0 0.0 2.0 4.0 11.0 - - - 75.0 0.0 50.0 - 69.4 75.0
Maximo Ortega - 1 27.6 7.0 5.0 4.0 0.0 0.0 2.0 6.0 8.0 - - - 50.0 33.3 0.0 - 54.3 58.3
Brendan Rigsbee - 1 21.5 7.0 1.0 3.0 0.0 1.0 2.0 5.0 5.0 - - - 40.0 25.0 100.0 - 59.5 50.0
Nils Machowski - 1 14.7 4.0 2.0 3.0 1.0 0.0 0.0 5.0 5.0 - - - 40.0 0.0 0 - 40.0 40.0
Grayson Collins - 1 2.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 - - - 0 0 0 - 0 0
Cayden Vasko - 1 10.8 0.0 1.0 2.0 0.0 0.0 0.0 2.0 1.0 - - - 0.0 0.0 0 - 0.0 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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