Western Illinois Leathernecks
2023 Team Stats (2 games)
66.5
PPG
64.0
Opp
+2.5
Margin
34.7%
FG%
23.3%
3P%
71.9%
FT%
38.0
RPG
10.0
APG
11.5
TO
83.0
Pace
Model Outputs
2022-2023
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 → | 1172 (#76) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1163 (#107) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +23.1 (#123) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.912 (#31) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-12-09 | vs | Valparaiso Beacons | W | 83 - 67 |
| 2023-03-03 | @ | St. Thomas-Minnesota Tommies | L | 50 - 61 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Lutz
|
G | 2 | 21.5 | 13.5 | 5.0 | 2.0 | 2.5 | 0.0 | 2.0 | 8.5 | 12.5 | - | - | - | 41.2 | 25.0 | 80.0 | - | 57.2 | 44.1 |
J. Thorpe
|
G | 2 | 28.5 | 13.0 | 5.5 | 3.0 | 2.0 | 0.5 | 3.5 | 14.5 | 6.0 | - | - | - | 20.7 | 7.1 | 68.4 | - | 34.8 | 22.4 |
A. Deets
|
G | 2 | 30.5 | 10.5 | 5.0 | 0.0 | 0.5 | 0.0 | 1.5 | 8.0 | 6.5 | - | - | - | 43.8 | 37.5 | 66.7 | - | 56.3 | 53.1 |
A. Brownfield
|
G | 2 | 25.5 | 8.5 | 3.0 | 1.0 | 0.0 | 0.0 | 1.5 | 8.0 | 3.0 | - | - | - | 43.8 | 33.3 | 33.3 | - | 49.1 | 50.0 |
M. McDermott
|
G | 2 | 21.0 | 8.0 | 4.0 | 0.0 | 0.5 | 0.5 | 0.5 | 4.5 | 8.0 | - | - | - | 44.4 | 40.0 | 100.0 | - | 68.7 | 55.6 |
A. Dins
|
C | 2 | 27.5 | 7.0 | 5.5 | 1.5 | 1.0 | 1.5 | 0.0 | 7.0 | 9.5 | - | - | - | 42.9 | 0 | 100.0 | - | 47.0 | 42.9 |
Z. Chevre
|
F | 1 | 27.0 | 6.0 | 6.0 | 1.0 | 1.0 | 1.0 | 3.0 | 6.0 | 6.0 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
L. Randgaard
|
G | 2 | 6.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.0 | 0.5 | - | - | - | 50.0 | 100.0 | 50.0 | - | 69.4 | 75.0 |
A. Meadows
|
G | 2 | 13.5 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | - | - | - | 0.0 | 0.0 | 50.0 | - | 12.9 | 0.0 |
C. Flores
|
G | 1 | 9.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
K. Flanagan
|
F | 2 | 8.0 | 0.0 | 0.5 | 0.5 | 0.5 | 0.0 | 0.0 | 1.0 | 0.5 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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