Western Michigan Broncos
2026 Team Stats (27 games)
56.1
PPG
65.0
Opp
-8.9
Margin
37.5%
FG%
29.1%
3P%
63.8%
FT%
32.6
RPG
11.8
APG
17.7
TO
77.3
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 947 (#476) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +5.6 (#251) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.400 (#454) | AdjO 55.8 | AdjD 60.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.524 (#285) | 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. More → | 0.491 (#285) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 895 (#419) | RD 147 | GP 27 |
2026 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Starks
|
G | 27 | 30.8 | 13.2 | 3.9 | 1.4 | 1.5 | 0.1 | 3.0 | 11.7 | 5.3 | -27 | -1.4 | -1.8 | 38.5 | 27.7 | 75.4 | 2.59 | 48.2 | 42.1 |
A. Carlson
|
G | 26 | 37.0 | 10.3 | 4.4 | 4.3 | 1.5 | 0.0 | 3.2 | 9.8 | 7.4 | -109 | -5.5 | -6.5 | 35.5 | 35.0 | 63.6 | -2.54 | 47.6 | 45.3 |
D. Richardson
|
F | 23 | 28.3 | 7.5 | 4.4 | 1.0 | 0.7 | 0.4 | 2.4 | 7.8 | 3.9 | 23 | 1.1 | 2.5 | 35.8 | 29.9 | 54.5 | 0.54 | 44.4 | 43.0 |
D. Bolds
|
F | 25 | 21.7 | 7.2 | 5.0 | 1.1 | 0.6 | 1.1 | 1.4 | 5.5 | 8.2 | -46 | -2.4 | -4.5 | 53.3 | 29.4 | 53.2 | 1.19 | 57.4 | 56.9 |
A. Harness
|
G | 27 | 23.1 | 6.6 | 2.4 | 0.6 | 0.5 | 0.0 | 1.4 | 6.4 | 2.4 | -85 | -4.2 | -6.7 | 33.5 | 32.2 | 89.7 | -3.76 | 48.2 | 44.2 |
N. Muguira Orbe
|
G | 27 | 27.1 | 5.1 | 2.0 | 2.0 | 0.9 | 0.1 | 1.8 | 6.7 | 1.6 | -40 | -1.9 | -2.8 | 26.5 | 22.7 | 75.0 | 0.04 | 36.7 | 34.8 |
A. Wilkes
|
F | 26 | 20.0 | 4.8 | 4.5 | 1.2 | 0.2 | 0.5 | 2.3 | 3.4 | 5.4 | -42 | -1.4 | -4.4 | 49.4 | 0.0 | 46.8 | 2.4 | 50.5 | 49.4 |
M. Brusek
|
F | 23 | 11.0 | 2.5 | 2.0 | 0.3 | 0.0 | 0.2 | 0.7 | 2.4 | 1.9 | -44 | -2.9 | -10.8 | 41.1 | 15.4 | 50.0 | -3.2 | 44.6 | 42.9 |
I. Trujillo
|
G | 6 | 13.5 | 1.3 | 0.8 | 0.8 | 0.3 | 0.2 | 3.2 | 2.3 | -2.0 | -18 | -3.6 | -19.1 | 21.4 | 0.0 | 33.3 | -1.16 | 24.0 | 21.4 |
O. Flynn
|
G | 15 | 5.3 | 1.1 | 0.3 | 0.1 | 0.2 | 0.0 | 0.3 | 0.8 | 0.6 | 4 | 0.3 | 1.9 | 33.3 | 36.4 | 100.0 | -0.04 | 58.1 | 50.0 |
E. Dibarboure
|
F | 16 | 7.5 | 1.1 | 1.5 | 0.1 | 0.2 | 0.2 | 1.0 | 1.1 | 1.2 | -11 | -0.6 | -2.9 | 35.3 | 50.0 | 83.3 | 0.39 | 45.8 | 38.2 |
M. Wiggins
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
L. Audino
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Adelina Urtane
|
F | 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