Chicago State Cougars
2026 Team Stats (29 games)
63.1
PPG
74.9
Opp
-11.8
Margin
39.8%
FG%
27.9%
3P%
65.1%
FT%
33.6
RPG
11.5
APG
18.1
TO
84.8
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 → | 919 (#507) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -8.5 (#399) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.308 (#555) | AdjO 64.4 | AdjD 73.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.273 (#408) | 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 → | 0.274 (#419) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 792 (#549) | RD 142 | GP 29 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Culver
|
G | 7 | 27.1 | 14.3 | 2.6 | 1.9 | 1.4 | 0.3 | 4.3 | 11.0 | 5.1 | -77 | -7.7 | -10.3 | 42.9 | 35.0 | 80.0 | -1.36 | 56.8 | 51.9 |
K. McGee
|
G | 29 | 31.2 | 12.9 | 4.1 | 2.3 | 1.6 | 0.1 | 3.0 | 10.5 | 7.6 | -39 | -1.6 | -3.2 | 42.1 | 28.9 | 71.1 | -1.03 | 50.6 | 43.9 |
M. Gant
|
G | 29 | 27.7 | 7.6 | 3.2 | 1.4 | 1.3 | 0.1 | 1.1 | 9.1 | 3.4 | -118 | -4.9 | -7.0 | 31.3 | 24.2 | 71.4 | 0.63 | 38.8 | 35.8 |
N. Williams
|
G | 16 | 17.1 | 7.6 | 2.1 | 1.0 | 1.0 | 0.1 | 2.8 | 7.1 | 1.9 | 89 | 4.2 | 6.3 | 42.1 | 18.5 | 58.8 | 0.39 | 46.9 | 44.3 |
K. Mount
|
C | 29 | 15.0 | 6.5 | 4.1 | 0.4 | 0.4 | 0.6 | 1.6 | 5.3 | 5.2 | -125 | -5.2 | -12.0 | 53.6 | 50.0 | 61.5 | -2.3 | 55.5 | 53.9 |
K. Champagne
|
G | 29 | 16.3 | 6.2 | 1.9 | 0.8 | 0.6 | 0.0 | 1.6 | 4.9 | 3.0 | -90 | -3.8 | -8.9 | 44.0 | 37.2 | 58.8 | -0.96 | 52.7 | 49.6 |
T. Allen
|
G | 29 | 19.9 | 5.1 | 4.3 | 1.5 | 1.5 | 0.8 | 2.6 | 5.6 | 5.1 | -99 | -4.1 | -8.9 | 35.0 | 20.8 | 69.0 | -2.47 | 40.8 | 36.5 |
B. Hill
|
G | 29 | 18.8 | 4.9 | 3.4 | 1.4 | 1.2 | 0.2 | 1.5 | 4.1 | 5.6 | -59 | -2.6 | -5.7 | 44.2 | 6.7 | 62.5 | -0.02 | 49.1 | 44.6 |
C. Sisco
|
G | 28 | 21.1 | 4.8 | 1.5 | 0.7 | 0.5 | 0.0 | 0.6 | 5.4 | 1.5 | -87 | -3.8 | -7.2 | 29.6 | 30.1 | 25.0 | 0.8 | 43.9 | 44.1 |
P. Bass
|
F | 27 | 12.1 | 3.5 | 1.4 | 0.4 | 0.5 | 0.2 | 0.9 | 3.1 | 1.9 | -65 | -3.0 | -12.6 | 45.9 | 14.3 | 55.6 | -3.23 | 48.5 | 46.5 |
K. Urlacher
|
F | 22 | 16.4 | 3.3 | 2.2 | 1.5 | 0.7 | 0.5 | 1.7 | 3.1 | 3.4 | -48 | -2.8 | -6.0 | 37.7 | 40.0 | 68.0 | 1.24 | 45.6 | 40.6 |
E. Randall
|
G | 14 | 13.6 | 2.7 | 3.0 | 0.1 | 0.1 | 0.7 | 0.8 | 3.1 | 2.7 | -116 | -6.8 | -20.9 | 36.4 | 0 | 50.0 | -3.83 | 38.6 | 36.4 |
K. Youmans
|
G | 7 | 6.9 | 1.4 | 1.0 | 1.3 | 0.3 | 0.0 | 1.3 | 0.7 | 2.0 | 6 | 0.7 | 4.5 | 40.0 | 0.0 | 46.2 | 1.56 | 46.6 | 40.0 |
J. Hamilton-Gill
|
G | 10 | 8.0 | 0.4 | 2.2 | 0.3 | 0.3 | 0.4 | 0.4 | 0.5 | 2.7 | -43 | -3.9 | -19.4 | 40.0 | 0 | 0 | -2.93 | 40.0 | 40.0 |
Leya Landin
|
G | 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