Western Illinois
Model Outputs
2021-2022
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 β | 779 (#748) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β | 1062 (#272) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More β | 982 (#491) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More β | +15.1 (#319) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More β | +6.0 (#269) | HCA +2.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More β | 0.494 (#253) | AdjO 72.6 | AdjD 72.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More β | 0.639 (#238) | 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 β | 0.601 (#243) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More β | 996 (#217) | RD 150 | GP 28 |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Wilson
|
F | 2 | 22.0 | 18.0 | 5.5 | 2.0 | 2.0 | 1.5 | 2.0 | 5.0 | 22.0 | 314 | 9.2 | 15.0 | 50.0 | 0.0 | 83.3 | 1.88 | 142.4 | 50.0 |
T. Massner
|
- | 28 | 36.1 | 16.9 | 6.6 | 4.0 | 1.8 | 0.6 | 2.2 | 2.6 | 25.1 | 54 | 1.7 | 1.9 | 43.8 | 33.3 | 61.9 | 0.51 | 288.2 | 50.0 |
L. Barisic
|
F | 26 | 28.3 | 14.2 | 6.2 | 1.4 | 0.2 | 0.4 | 1.6 | 2.4 | 18.4 | 31 | 1.0 | 1.4 | 39.7 | 33.3 | 75.0 | 0.24 | 270.2 | 49.2 |
W. Carius
|
F | 26 | 34.3 | 14.0 | 2.8 | 1.0 | 0.6 | 0.3 | 1.3 | 2.5 | 14.9 | 57 | 1.8 | 2.1 | 34.4 | 27.5 | 93.3 | 0.77 | 257.8 | 43.0 |
D. BΓΆhm
|
F | 1 | 30.0 | 14.0 | 5.0 | 1.0 | 3.0 | 0.0 | 3.0 | 0.0 | 20.0 | -51 | -2.5 | -8.7 | 0 | 0 | 0 | -0.9 | 0 | 0 |
C. Sandage
|
- | 26 | 31.6 | 12.6 | 4.0 | 2.6 | 1.2 | 0.3 | 2.0 | 1.9 | 16.8 | 71 | 2.3 | 3.0 | 53.1 | 46.4 | 81.2 | 0.62 | 291.8 | 66.3 |
D. Simmons
|
G | 1 | 34.0 | 11.0 | 2.0 | 0.0 | 0.0 | 0.0 | 3.0 | 9.0 | 1.0 | -34 | -2.0 | -4.1 | 33.3 | 33.3 | 100.0 | -0.19 | 51.1 | 38.9 |
B. Hedstrom
|
G | 2 | 25.0 | 10.5 | 3.0 | 1.0 | 1.0 | 0.0 | 2.5 | 0.0 | 13.0 | -17 | -0.6 | -1.0 | 0 | 0 | 0 | 0.21 | 0 | 0 |
T. Pearson
|
- | 18 | 24.6 | 10.4 | 5.4 | 1.0 | 0.7 | 0.3 | 2.1 | 1.3 | 14.4 | -1 | -0.0 | -0.1 | 56.5 | 50.0 | 63.6 | -0.32 | 335.8 | 58.7 |
E. Lufile
|
F | 2 | 17.5 | 10.0 | 8.0 | 0.0 | 0.5 | 0.0 | 0.5 | 0.0 | 18.0 | 131 | 4.7 | 11.6 | 0 | 0 | 0 | 1.07 | 0 | 0 |
F. Lacis
|
F | 2 | 26.5 | 8.5 | 5.5 | 0.5 | 1.5 | 0.0 | 0.5 | 0.0 | 15.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
K. Cunningham
|
G | 2 | 20.5 | 8.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 9.0 | 14 | 0.7 | 4.0 | 0 | 0 | 0 | 0.25 | 0 | 0 |
Francis Okwuosah
|
- | 1 | 19.0 | 8.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 0.0 | 10.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Ames
|
C | 1 | 12.0 | 6.0 | 3.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 9.0 | 13 | 1.9 | 8.5 | 0 | 0 | 0 | 0.25 | 0 | 0 |
G. Dixon
|
G | 25 | 17.1 | 4.3 | 4.9 | 0.7 | 0.9 | 0.1 | 0.6 | 0.6 | 9.6 | 45 | 1.5 | 3.5 | 50.0 | 0 | 70.0 | 0.41 | 264.7 | 50.0 |
C. Burrell
|
F | 19 | 14.3 | 3.2 | 3.8 | 0.3 | 0.3 | 0.6 | 0.5 | 0.4 | 7.4 | -39 | -1.4 | -4.5 | 42.9 | 0 | 0.0 | -0.2 | 366.6 | 42.9 |
J. Morris
|
F | 1 | 4.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | 1 | 0.0 | 0.2 | 100.0 | 0 | 100.0 | 0.09 | 104.2 | 100.0 |
JJ Flores
|
- | 18 | 12.7 | 2.4 | 1.3 | 0.6 | 0.4 | 0.1 | 0.7 | 0.5 | 3.6 | 6 | 0.3 | 0.8 | 33.3 | 50.0 | 50.0 | 0.07 | 189.0 | 38.9 |
KJ Lee
|
- | 22 | 10.3 | 2.2 | 1.0 | 0.4 | 0.2 | 0.2 | 0.5 | 0.3 | 3.2 | -63 | -2.3 | -9.0 | 50.0 | 50.0 | 50.0 | -0.91 | 356.1 | 58.3 |
A. Anhold
|
F | 10 | 4.3 | 1.5 | 1.6 | 0.2 | 0.0 | 0.2 | 0.4 | 0.3 | 2.8 | -15 | -1.2 | -10.7 | 33.3 | 0.0 | 50.0 | -0.22 | 193.3 | 33.3 |
Jaylon Gentry
|
G | 2 | 3.5 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 0.5 | 12 | 1.0 | 11.5 | 0.0 | 0.0 | 0 | -0.03 | 150.0 | 0.0 |
D. Wingett
|
F | 2 | 4.0 | 1.0 | 1.0 | 0.0 | 0.5 | 0.0 | 0.5 | 0.5 | 1.5 | -11 | -0.7 | -3.9 | 100.0 | 0 | 0 | -0.64 | 100.0 | 100.0 |
B. Lamar
|
- | 12 | 5.9 | 0.8 | 0.5 | 0.0 | 0.3 | 0.0 | 0.1 | 0.1 | 1.5 | - | - | - | 0.0 | 0.0 | 0 | 0.08 | 500.0 | 0.0 |
M. Wade
|
- | 7 | 2.6 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.0 | 0.0 | -19 | -1.2 | -7.5 | 0 | 0 | 0 | -0.13 | 0 | 0 |
B. Andre
|
F | 1 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | -2.0 | -62 | -2.5 | -4.0 | 0 | 0 | 0 | -0.1 | 0 | 0 |
Robert Jeter Iv
|
- | 4 | 2.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | -28 | -2.3 | -31.1 | 0 | 0 | 0 | -0.45 | 0 | 0 |
S. Sims
|
F | 1 | 4.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -25 | -1.9 | -10.8 | 0 | 0 | 0 | -0.39 | 0 | 0 |
L. Eller
|
F | 1 | 7.0 | 0.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 0 | 0.66 | 0 | 0 |
Z. Theisen
|
- | 1 | 5.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 45 | 2.8 | 17.2 | 0 | 0 | 0 | 0.37 | 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