Western Illinois Leathernecks
2026 Team Stats (29 games)
74.6
PPG
62.3
Opp
+12.3
Margin
45.7%
FG%
34.8%
3P%
78.5%
FT%
35.1
RPG
12.2
APG
11.7
TO
78.8
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 → | 1132 (#37) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.5 (#114) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.681 (#77) | AdjO 68.6 | AdjD 60.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.875 (#86) | 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 → | 0.855 (#83) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1242 (#50) | RD 122 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Nicastro
|
F | 29 | 35.4 | 24.2 | 9.6 | 1.2 | 1.3 | 0.6 | 1.7 | 17.0 | 18.2 | 82 | 3.6 | 4.6 | 52.2 | 39.4 | 89.9 | 2.39 | 61.4 | 54.9 |
R. McCowan
|
G | 8 | 23.6 | 16.5 | 6.5 | 0.6 | 0.5 | 0.1 | 2.0 | 13.9 | 8.4 | 22 | 2.2 | 3.9 | 44.1 | 31.6 | 73.7 | 0.76 | 51.7 | 46.8 |
A. Brownfield
|
G | 29 | 33.7 | 12.5 | 5.9 | 3.0 | 2.2 | 1.0 | 2.3 | 8.7 | 13.4 | 103 | 4.7 | 6.0 | 43.1 | 38.8 | 80.8 | 2.34 | 59.2 | 52.4 |
M. Shetley
|
F | 29 | 28.7 | 10.6 | 3.9 | 1.4 | 0.9 | 0.7 | 2.2 | 8.9 | 6.3 | 21 | 1.0 | 1.7 | 49.8 | 0 | 61.7 | 2.2 | 52.3 | 49.8 |
A. Meadows
|
G | 29 | 33.4 | 7.4 | 2.2 | 2.0 | 1.2 | 0.1 | 1.2 | 6.6 | 5.0 | 128 | 5.8 | 7.4 | 33.9 | 32.5 | 77.2 | 0.25 | 49.5 | 44.5 |
M. Davis
|
G | 29 | 19.6 | 6.3 | 4.4 | 0.9 | 0.6 | 0.2 | 0.6 | 3.9 | 8.0 | 51 | 2.3 | 5.0 | 56.2 | 37.5 | 80.3 | 1.34 | 66.3 | 60.3 |
K. Reed
|
G | 29 | 32.6 | 5.6 | 3.6 | 3.3 | 1.0 | 0.2 | 1.8 | 5.6 | 6.2 | 81 | 3.7 | 4.8 | 38.7 | 27.5 | 77.4 | 0.72 | 45.6 | 42.0 |
S. Bowman
|
G | 18 | 5.6 | 2.2 | 0.7 | 0.3 | 0.2 | 0.0 | 0.0 | 2.0 | 1.4 | 46 | 3.1 | 49.3 | 38.9 | 34.5 | 50.0 | 1.43 | 52.9 | 52.8 |
K. Eggena
|
F | 16 | 4.7 | 1.4 | 0.8 | 0.0 | 0.2 | 0.1 | 0.4 | 1.7 | 0.4 | 12 | 0.9 | 19.8 | 29.6 | 0.0 | 42.9 | -0.65 | 33.2 | 29.6 |
K. Herrig
|
G | 15 | 3.0 | 1.1 | 0.4 | 0.1 | 0.2 | 0.0 | 0.2 | 0.6 | 1.1 | 43 | 3.6 | 131.1 | 55.6 | 25.0 | 85.7 | -0.97 | 70.4 | 61.1 |
S. Skrobot
|
F | 24 | 4.0 | 0.8 | 0.9 | 0.0 | 0.1 | 0.1 | 0.4 | 1.0 | 0.5 | -23 | -1.1 | -9.3 | 24.0 | 30.0 | 50.0 | -2.16 | 34.0 | 30.0 |
A. Holthaus
|
G | 13 | 2.0 | 0.2 | 0.1 | 0.1 | 0.2 | 0.0 | 0.2 | 0.2 | 0.2 | 28 | 2.8 | 134.9 | 50.0 | 50.0 | 0 | 0.69 | 75.0 | 75.0 |
Maria Messling
|
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