Illinois State Redbirds
2026 Team Stats (36 games)
71.2
PPG
67.1
Opp
+4.1
Margin
44.0%
FG%
31.9%
3P%
73.2%
FT%
36.2
RPG
15.8
APG
14.1
TO
80.5
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1142 (#28) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +14.1 (#147) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.592 (#133) | AdjO 64.4 | AdjD 60.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.807 (#135) | 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 → | 0.783 (#129) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1135 (#112) | RD 86 | GP 36 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Thomas
|
F | 2 | 20.0 | 17.5 | 6.0 | 4.0 | 0.5 | 0.5 | 1.5 | 9.5 | 17.5 | 33 | 8.2 | 16.7 | 73.7 | 25.0 | 100.0 | 1.92 | 80.9 | 76.3 |
D. Washington
|
F | 36 | 31.0 | 16.7 | 8.4 | 1.3 | 1.9 | 1.8 | 2.1 | 12.9 | 15.0 | 83 | 3.8 | 4.1 | 49.4 | 29.0 | 71.1 | 2.72 | 56.6 | 53.2 |
A. Martin
|
F | 36 | 35.3 | 12.2 | 5.8 | 2.8 | 0.5 | 0.4 | 1.9 | 9.8 | 10.0 | 80 | 3.6 | 3.7 | 48.3 | 0.0 | 71.7 | 0.21 | 53.2 | 48.3 |
T. Fayta
|
G | 36 | 34.4 | 11.6 | 4.2 | 5.6 | 1.5 | 0.2 | 3.4 | 8.5 | 11.1 | 83 | 3.8 | 3.8 | 42.3 | 31.9 | 73.0 | 1.85 | 54.4 | 47.2 |
K. Hurt
|
G | 36 | 21.6 | 7.7 | 1.8 | 2.3 | 0.9 | 0.0 | 1.6 | 7.1 | 4.1 | 29 | 1.4 | 2.0 | 42.4 | 36.1 | 74.1 | -0.11 | 49.9 | 46.7 |
B. Finnegan
|
G | 36 | 18.6 | 6.0 | 1.6 | 0.6 | 0.5 | 0.2 | 0.9 | 5.7 | 2.3 | 45 | 2.0 | 3.1 | 38.5 | 35.8 | 64.3 | 0.27 | 50.9 | 50.2 |
G. Nelson
|
G | 36 | 18.3 | 5.7 | 1.5 | 0.9 | 0.4 | 0.1 | 0.6 | 4.6 | 3.5 | 70 | 3.2 | 8.5 | 37.6 | 37.4 | 90.5 | 1.4 | 55.9 | 50.6 |
J. Pratt
|
G | 35 | 23.9 | 5.1 | 4.1 | 1.1 | 0.5 | 0.3 | 1.4 | 3.9 | 5.9 | 97 | 4.6 | 6.3 | 42.2 | 29.5 | 70.6 | 2.89 | 54.6 | 48.9 |
M. Austin
|
F | 35 | 9.1 | 3.5 | 2.3 | 0.4 | 0.1 | 0.1 | 0.7 | 2.3 | 3.3 | 44 | 2.2 | 8.3 | 49.4 | 33.3 | 74.4 | 1.14 | 60.5 | 54.9 |
Z. Adams
|
G | 16 | 5.8 | 2.0 | 0.7 | 0.3 | 0.3 | 0.1 | 0.4 | 1.9 | 1.1 | -22 | -1.8 | -11.2 | 38.7 | 0.0 | 72.7 | -2.27 | 44.6 | 38.7 |
J. Fenske
|
G | 19 | 6.2 | 0.9 | 0.7 | 0.4 | 0.2 | 0.0 | 0.4 | 1.1 | 0.6 | -6 | -0.4 | -2.6 | 19.0 | 11.8 | 58.3 | -0.48 | 32.3 | 23.8 |
D. Thomas
|
G | 29 | 6.2 | 0.7 | 1.1 | 0.3 | 0.1 | 0.2 | 0.5 | 1.1 | 0.8 | 83 | 3.6 | 5.8 | 21.2 | 25.0 | 83.3 | 2.99 | 29.5 | 24.2 |
T. Veach
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
M. Bruno
|
G | 10 | 3.1 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.2 | 0.3 | -0.4 | -15 | -2.1 | -37.9 | 0.0 | 0.0 | 0 | -1.49 | 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