Illinois State Redbirds
2024 Team Stats (3 games)
69.3
PPG
69.0
Opp
+0.3
Margin
48.1%
FG%
39.7%
3P%
83.3%
FT%
32.0
RPG
14.3
APG
17.0
TO
75.2
Pace
Model Outputs
2023-2024
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 → | 987 (#212) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1058 (#179) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +23.9 (#117) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.736 (#105) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.066 (#93) | AdjNet -23.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.063 (#93) | AdjNet -22.9 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-03 | @ | NC State Wolfpack | L | 61 - 79 |
| 2023-12-10 | vs | Marquette Golden Eagles | L | 62 - 64 |
| 2024-03-14 | vs | Evansville Purple Aces | W | 85 - 64 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Waite
|
G | 3 | 26.0 | 13.0 | 2.0 | 1.3 | 0.0 | 0.0 | 1.3 | 11.0 | 4.0 | 2 | 0.2 | 0.5 | 45.5 | 40.0 | 100.0 | 0.15 | 58.3 | 57.6 |
M. Wong
|
G | 3 | 28.3 | 10.7 | 1.7 | 5.3 | 0.3 | 0.0 | 2.7 | 6.0 | 9.3 | 45 | 4.1 | 4.3 | 61.1 | 40.0 | 88.9 | 0.47 | 72.9 | 66.7 |
H. Kelle
|
F | 1 | 9.0 | 9.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 | 7.0 | 1 | 0.2 | 0.8 | 75.0 | 0 | 75.0 | 0.0 | 78.1 | 75.0 |
D. Wilson
|
F | 3 | 20.7 | 9.0 | 5.0 | 0.7 | 0.3 | 1.3 | 3.0 | 8.7 | 4.7 | 20 | 1.8 | 2.3 | 42.3 | 0 | 83.3 | 0.14 | 47.1 | 42.3 |
D. Smith
|
G | 3 | 15.0 | 7.0 | 2.7 | 0.7 | 0.3 | 0.3 | 2.7 | 4.0 | 4.3 | 60 | 5.5 | 9.6 | 50.0 | 33.3 | 88.9 | 0.4 | 65.8 | 54.2 |
A. Aalsma
|
G | 3 | 24.7 | 7.0 | 1.3 | 1.7 | 1.0 | 0.0 | 1.3 | 4.0 | 5.7 | 33 | 3.3 | 4.4 | 58.3 | 70.0 | 0 | 0.06 | 87.5 | 87.5 |
B. Coffey
|
G | 3 | 19.0 | 6.0 | 5.0 | 0.7 | 0.7 | 0.0 | 0.7 | 2.7 | 9.0 | 26 | 2.4 | 4.6 | 75.0 | 60.0 | 75.0 | 0.12 | 92.2 | 93.8 |
S. Dowell
|
G | 3 | 11.0 | 5.7 | 1.7 | 0.7 | 1.0 | 0.3 | 2.0 | 4.0 | 3.3 | 8 | 0.7 | 1.0 | 58.3 | 0 | 100.0 | -0.1 | 63.8 | 58.3 |
K. Bullman
|
F | 3 | 26.0 | 5.0 | 4.7 | 1.0 | 0.3 | 1.7 | 1.3 | 6.3 | 5.0 | 51 | 4.6 | 4.8 | 26.3 | 16.7 | 75.0 | 0.24 | 36.1 | 31.6 |
S. McGowan
|
F | 2 | 17.0 | 3.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.5 | 3.5 | 3.0 | 16 | 2.0 | 6.3 | 42.9 | 0.0 | 0 | 0.18 | 42.9 | 42.9 |
M. Lenz
|
G | 3 | 11.7 | 1.0 | 1.0 | 0.7 | 0.3 | 0.0 | 0.7 | 1.3 | 1.0 | 13 | 1.1 | 2.3 | 25.0 | 0.0 | 50.0 | 0.16 | 30.7 | 25.0 |
L. Cohen
|
G | 1 | 5.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
T. Veach
|
G | 1 | 5.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | 0.0 | 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