🐻⬇️🏀

Winthrop

Season: 2026 2025 2018 2017 2015
Also known as: Winthrop
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 → 1078 (#188) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1018 (#307) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +58.4 (#11) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#48) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +66.3 More → 1.000 (#25) AdjNet +66.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +64.9 More → 1.000 (#31) AdjNet +64.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 90.8 | AdjD 45.2 More → 0.984 (#20) AdjO 90.8 | AdjD 45.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 77.3 | AdjD 56.4 More → 0.870 (#27) AdjO 77.3 | AdjD 56.4
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 → 0.976 (#13) 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 → 0.963 (#12) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-03 vs JWU Charlotte W 105 - 41

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%
Tocarra Johnson - 1 26.4 23.0 14.0 1.0 1.0 0.0 2.0 16.0 21.0 18 1.2 40.9 62.5 0 75.0 1.05 64.8 62.5
Mya Pierfax - 1 28.3 20.0 3.0 2.0 0.0 0.0 2.0 13.0 10.0 - - - 53.8 44.4 100.0 - 72.0 69.2
Amourie Porter - 1 28.1 14.0 13.0 7.0 4.0 1.0 2.0 10.0 27.0 - - - 50.0 0 66.7 - 55.4 50.0
Ryiah Wilson - 1 22.8 14.0 3.0 0.0 3.0 0.0 2.0 10.0 8.0 - - - 50.0 33.3 66.7 - 61.8 60.0
Madison Ruff - 1 17.2 14.0 1.0 2.0 4.0 0.0 0.0 10.0 11.0 - - - 60.0 0 100.0 - 64.3 60.0
Persais Williams - 1 21.5 10.0 4.0 3.0 2.0 1.0 1.0 5.0 14.0 - - - 40.0 0 100.0 - 65.4 40.0
Jada Ryce - 1 15.3 5.0 2.0 2.0 1.0 0.0 1.0 3.0 6.0 - - - 33.3 100.0 100.0 - 64.4 50.0
Mya Hamilton - 1 14.9 3.0 1.0 2.0 0.0 0.0 2.0 5.0 -1.0 -5 -1.0 -74.5 20.0 25.0 0 -0.29 30.0 30.0
Cori Lard - 1 25.5 2.0 4.0 7.0 2.0 0.0 2.0 5.0 8.0 - - - 20.0 0.0 0 - 20.0 20.0

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