Western Michigan
2026 Team Stats (29 games)
74.0
PPG
78.9
Opp
-4.9
Margin
43.3%
FG%
33.8%
3P%
73.9%
FT%
36.6
RPG
12.4
APG
11.9
TO
80.9
Pace
73.0
AdjO
80.3
AdjD
#269
Rank
Model Outputs
2025-2026
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 → | 782 (#335) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 869 (#278) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 928 (#628) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -7.3 (#272) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +5.8 (#292) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.284 (#296) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.035 (#348) | NetEff -27.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.250 (#268) | AdjNet -9.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.247 (#267) | AdjNet -9.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.340 (#269) | AdjO 73.0 | AdjD 80.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.446 (#503) | AdjO 72.9 | AdjD 75.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.558 (#305) | 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 → | 0.520 (#310) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 901 (#484) | RD 154 | GP 29 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Williams
|
- | 15 | 30.5 | 14.8 | 3.8 | 2.2 | 0.6 | 0.0 | 1.5 | 12.0 | 7.9 | -94 | -4.1 | -6.4 | 40.6 | 34.2 | 86.2 | -0.3 | 54.0 | 47.8 |
J. Brewer
|
G | 29 | 25.3 | 13.1 | 7.0 | 1.1 | 0.8 | 0.9 | 1.8 | 10.3 | 11.0 | -76 | -3.6 | -7.5 | 45.0 | 29.4 | 70.5 | -0.54 | 52.6 | 46.6 |
J. Griffith
|
- | 25 | 22.0 | 11.2 | 1.3 | 3.0 | 0.9 | 0.0 | 1.7 | 8.7 | 5.9 | -7 | -0.4 | -0.7 | 44.5 | 40.8 | 78.6 | 0.14 | 57.7 | 54.1 |
T. Lewis
|
- | 29 | 17.8 | 7.8 | 2.7 | 0.5 | 0.2 | 0.2 | 0.8 | 6.4 | 4.2 | -8 | -0.5 | -9.4 | 41.1 | 38.0 | 73.5 | 0.0 | 56.5 | 54.3 |
Brady Swartz
|
- | 23 | 20.5 | 7.7 | 4.7 | 0.3 | 0.3 | 0.1 | 0.3 | 6.1 | 6.7 | -8 | -0.4 | -1.1 | 40.7 | 34.6 | 71.4 | -0.06 | 54.5 | 50.4 |
Ej Ryans
|
- | 29 | 27.3 | 7.2 | 1.8 | 2.0 | 0.5 | 0.1 | 1.1 | 6.7 | 3.8 | -30 | -1.4 | -2.6 | 38.1 | 27.4 | 88.4 | -0.11 | 49.1 | 44.1 |
M. Burton
|
- | 28 | 24.4 | 6.1 | 5.3 | 1.5 | 0.2 | 0.6 | 1.4 | 4.9 | 7.4 | 84 | 8.4 | 12.0 | 49.3 | 0.0 | 69.8 | 1.11 | 53.7 | 49.3 |
Carson Vis
|
- | 29 | 15.6 | 6.1 | 2.3 | 0.8 | 0.7 | 0.1 | 0.7 | 5.0 | 4.3 | -19 | -0.9 | -3.1 | 43.2 | 30.6 | 60.0 | -0.03 | 51.3 | 48.3 |
H. Ward
|
F | 12 | 18.1 | 4.5 | 3.1 | 0.8 | 0.6 | 0.2 | 0.3 | 4.3 | 4.6 | -22 | -1.7 | -4.7 | 44.2 | 30.8 | 0.0 | -0.34 | 51.1 | 51.9 |
Sharod Barnes
|
- | 26 | 12.7 | 3.4 | 1.7 | 1.2 | 0.5 | 0.0 | 1.3 | 2.6 | 2.9 | -74 | -4.4 | -16.9 | 34.3 | 12.5 | 82.4 | -0.95 | 49.8 | 35.1 |
Michael Sulaka
|
- | 23 | 11.3 | 3.0 | 2.1 | 0.6 | 0.1 | 0.4 | 0.4 | 2.3 | 3.5 | -15 | -1.0 | -5.1 | 51.9 | 33.3 | 70.6 | -0.4 | 56.1 | 52.8 |
Declan Peterson
|
- | 27 | 8.9 | 2.1 | 2.1 | 0.5 | 0.1 | 0.3 | 0.8 | 1.6 | 2.7 | -10 | -0.6 | -3.1 | 59.5 | 0 | 54.5 | -0.15 | 59.8 | 59.5 |
Nicholas Errica
|
- | 6 | 5.0 | 1.2 | 0.3 | 0.2 | 0.0 | 0.0 | 0.5 | 1.3 | -0.2 | 15 | 2.5 | 39.0 | 37.5 | 16.7 | 0 | 0.11 | 43.8 | 43.8 |
Junior Sileu
|
- | 8 | 5.5 | 1.0 | 1.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.6 | 1.5 | -11 | -1.8 | -15.1 | 80.0 | 0 | 0 | -0.1 | 80.0 | 80.0 |
Camden Thompson
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 88 | 4.0 | 21.5 | - | - | - | 1.03 | - | - |
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