Illinois State Redbirds
2022 Team Stats (4 games)
56.5
PPG
60.0
Opp
-3.5
Margin
38.5%
FG%
22.5%
3P%
74.2%
FT%
34.8
RPG
8.5
APG
11.8
TO
71.8
Pace
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 → | 1023 (#192) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1118 (#134) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +23.9 (#118) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.669 (#123) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-03-11 | vs | Loyola Chicago Ramblers | W | 68 - 52 |
| 2022-03-12 | @ | Southern Illinois Salukis | W | 50 - 42 |
| 2022-03-13 | @ | Northern Iowa Panthers | W | 50 - 48 |
| 2022-03-18 | @ | Iowa Hawkeyes | L | 58 - 98 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Redmond
|
G | 4 | 36.5 | 23.2 | 3.8 | 2.0 | 1.5 | 0.0 | 1.2 | 19.5 | 9.8 | - | - | - | 47.4 | 60.0 | 69.6 | 1.22 | 52.8 | 49.4 |
M. Wong
|
G | 4 | 32.0 | 8.5 | 2.2 | 3.0 | 0.5 | 0.0 | 1.5 | 6.5 | 6.2 | -44 | -2.1 | -12.2 | 30.8 | 7.1 | 89.5 | 0.32 | 49.5 | 32.7 |
D. Wilson
|
F | 4 | 28.0 | 8.5 | 8.8 | 0.2 | 0.2 | 0.8 | 3.5 | 7.8 | 7.2 | - | - | - | 45.2 | 0 | 46.2 | 1.01 | 46.3 | 45.2 |
M. Crompton
|
G | 4 | 29.2 | 6.5 | 3.0 | 1.0 | 0.2 | 0.0 | 0.8 | 6.5 | 3.5 | - | - | - | 34.6 | 31.8 | 100.0 | 0.24 | 49.2 | 48.1 |
K. Bullman
|
F | 4 | 36.5 | 5.0 | 7.2 | 1.8 | 0.8 | 1.0 | 1.0 | 6.8 | 8.0 | -73 | -3.0 | -23.3 | 29.6 | 15.4 | 100.0 | 0.07 | 35.9 | 33.3 |
K. Newland
|
G | 4 | 16.2 | 2.0 | 1.8 | 0.2 | 0.2 | 0.0 | 0.2 | 2.5 | 1.5 | - | - | - | 20.0 | 25.0 | 100.0 | 1.25 | 36.8 | 30.0 |
J. McGinnis-Taylor
|
F | 4 | 4.2 | 2.0 | 0.5 | 0.0 | 0.2 | 0.0 | 0.8 | 0.8 | 1.2 | 47 | 2.2 | 13.0 | 100.0 | 0 | 100.0 | 1.4 | 103.1 | 100.0 |
C. Van Zeeland
|
F | 4 | 4.2 | 0.8 | 1.2 | 0.0 | 0.0 | 0.0 | 0.8 | 0.5 | 0.8 | -79 | -7.2 | -45.3 | 50.0 | 50.0 | 0 | 0.02 | 75.0 | 75.0 |
L. Koudelka
|
F | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | -0.2 | 0 | 0 |
H. Kelle
|
F | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0 | 0 | -0.32 | 0.0 | 0.0 |
L. Cohen
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -2.0 | -38 | -19.0 | -1403.1 | 0.0 | 0.0 | 0 | -1.59 | 0.0 | 0.0 |
K. Bowers
|
G | 4 | 10.8 | 0.0 | 1.8 | 0.2 | 0.0 | 0.2 | 1.0 | 1.8 | -0.5 | -39 | -1.4 | -7.9 | 0.0 | 0.0 | 0 | 1.08 | 0.0 | 0.0 |
L. Boles
|
F | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -94 | -10.4 | -93.2 | 0 | 0 | 0 | -0.09 | 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