🐻⬇️🏀

Western Mich.

Season: 2026 2025 2022 2018
Also known as: Western Mich.
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 → 954 (#332) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 969 (#438) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +0.1 (#327) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.942 (#107) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +26.9 More → 0.957 (#69) AdjNet +26.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +27.1 More → 0.961 (#67) AdjNet +27.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 85.3 | AdjD 67.2 More → 0.838 (#85) AdjO 85.3 | AdjD 67.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.4 | AdjD 75.4 More → 0.501 (#294) AdjO 75.4 | AdjD 75.4
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 → 0.513 (#307) 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 → 0.509 (#304) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-06 vs Northwood L 81 - 85

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 Brewer - 1 34.0 24.0 12.0 3.0 2.0 4.0 3.0 19.0 23.0 -1 -0.2 -2.5 42.1 100.0 77.8 0.98 52.3 44.7
Jalen Griffith - 1 29.8 23.0 0.0 2.0 4.0 0.0 3.0 8.0 18.0 - - - 87.5 75.0 66.7 - 96.2 106.2
Max Burton - 1 34.1 13.0 9.0 0.0 0.0 0.0 5.0 9.0 8.0 - - - 44.4 0 62.5 - 51.9 44.4
Carson Vis - 1 12.9 9.0 1.0 0.0 2.0 0.0 2.0 7.0 3.0 - - - 57.1 50.0 0.0 - 54.1 64.3
Sharod Barnes - 1 12.2 4.0 2.0 3.0 0.0 0.0 0.0 4.0 5.0 - - - 50.0 0.0 0 - 50.0 50.0
Brady Swartz - 1 12.2 4.0 4.0 0.0 0.0 0.0 0.0 2.0 6.0 - - - 50.0 0 100.0 - 69.4 50.0
Declan Peterson - 1 5.1 2.0 0.0 1.0 0.0 0.0 0.0 1.0 2.0 - - - 100.0 0 0 - 100.0 100.0
EJ Ryans - 1 22.5 2.0 1.0 1.0 0.0 0.0 4.0 3.0 -3.0 - - - 0.0 0.0 100.0 - 25.8 0.0
Nicholas Errica - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Trey Lewis - 1 13.8 0.0 3.0 0.0 0.0 0.0 3.0 3.0 -3.0 -10 -0.5 -2.1 0.0 0.0 0 -2.06 0.0 0.0
Michael Sulaka - 1 5.0 0.0 2.0 1.0 1.0 1.0 0.0 0.0 5.0 - - - 0 0 0 - 0 0
Hudson Ward - 1 16.5 0.0 4.0 0.0 0.0 0.0 1.0 1.0 2.0 -14 -0.9 -16.6 0.0 0.0 0 0.79 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