Western Illinois Leathernecks
2018 Team Stats (4 games)
74.3
PPG
66.5
Opp
+7.7
Margin
41.4%
FG%
31.9%
3P%
76.2%
FT%
38.3
RPG
14.5
APG
12.8
TO
83.7
Pace
Model Outputs
2017-2018
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 → | 1146 (#133) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1093 (#183) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.0 (#181) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.555 (#188) | - |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2017-12-01 | @ | Wichita State Shockers | W | 78 - 65 |
| 2017-12-18 | @ | Stanford Cardinal | W | 71 - 64 |
| 2018-03-04 | vs | Omaha Mavericks | W | 97 - 57 |
| 2018-03-05 | @ | South Dakota State Jackrabbits | L | 51 - 80 |
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Higginbotham
|
G | 4 | 32.2 | 19.8 | 7.5 | 2.2 | 2.0 | 0.0 | 3.0 | 15.2 | 13.2 | - | - | - | 49.2 | 40.9 | 90.9 | - | 60.0 | 56.6 |
E. Clemens
|
G | 4 | 36.8 | 19.2 | 2.5 | 4.5 | 3.8 | 0.2 | 2.2 | 12.2 | 15.8 | - | - | - | 51.0 | 31.2 | 78.6 | - | 62.8 | 56.1 |
M. Blumer
|
G | 4 | 33.2 | 11.8 | 4.8 | 1.2 | 2.0 | 0.8 | 1.8 | 9.2 | 9.5 | - | - | - | 43.2 | 37.5 | 100.0 | - | 59.3 | 55.4 |
T. Hanneman
|
G | 1 | 19.0 | 9.0 | 1.0 | 2.0 | 0.0 | 0.0 | 1.0 | 7.0 | 4.0 | - | - | - | 42.9 | 50.0 | 0 | - | 64.3 | 64.3 |
O. Braun
|
F | 4 | 30.5 | 6.8 | 6.5 | 3.8 | 1.5 | 3.8 | 0.8 | 7.8 | 13.8 | - | - | - | 38.7 | 22.2 | 100.0 | - | 42.9 | 41.9 |
S. Pryor
|
G | 3 | 9.0 | 6.0 | 1.3 | 0.0 | 0.3 | 0.0 | 1.3 | 3.7 | 2.7 | - | - | - | 54.5 | 42.9 | 75.0 | - | 70.5 | 68.2 |
O. Kaufmann
|
G | 4 | 19.8 | 4.2 | 2.8 | 1.5 | 0.5 | 0.0 | 1.5 | 5.8 | 1.8 | - | - | - | 21.7 | 22.2 | 55.6 | - | 31.5 | 26.1 |
G. Gilmore
|
G | 1 | 10.0 | 4.0 | 6.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 | 4.0 | - | - | - | 25.0 | 33.3 | 25.0 | - | 34.7 | 37.5 |
M. Farrow
|
G | 4 | 24.2 | 3.8 | 4.0 | 0.8 | 0.2 | 0.2 | 1.0 | 7.0 | 1.0 | - | - | - | 21.4 | 15.0 | 0 | - | 26.8 | 26.8 |
K. Merriman
|
F | 4 | 9.2 | 1.0 | 1.8 | 0.0 | 0.2 | 0.2 | 0.2 | 1.2 | 1.8 | - | - | - | 40.0 | 0 | 0 | - | 40.0 | 40.0 |
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