UIC Flames
2026 Team Stats (29 games)
66.8
PPG
66.5
Opp
+0.3
Margin
44.3%
FG%
29.1%
3P%
68.1%
FT%
34.4
RPG
12.8
APG
12.9
TO
78.8
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 → | 931 (#495) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +10.2 (#199) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.507 (#201) | AdjO 63.9 | AdjD 63.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.646 (#225) | 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 → | 0.611 (#226) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 898 (#412) | RD 131 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Carrothers
|
G | 26 | 34.0 | 17.9 | 3.2 | 4.1 | 1.5 | 0.2 | 2.0 | 15.4 | 9.5 | 32 | 1.8 | 2.2 | 49.0 | 18.2 | 90.8 | 0.36 | 53.6 | 49.5 |
J. Coleman
|
F | 29 | 30.9 | 16.7 | 7.5 | 1.8 | 1.8 | 0.7 | 2.4 | 14.8 | 11.3 | 23 | 1.0 | 1.3 | 47.6 | 0.0 | 69.7 | 0.97 | 50.7 | 47.6 |
T. Clayton
|
G | 29 | 29.7 | 8.8 | 2.5 | 3.0 | 1.3 | 0.1 | 2.3 | 9.0 | 4.4 | 46 | 2.1 | 2.7 | 36.9 | 30.4 | 56.1 | 2.4 | 44.7 | 42.9 |
A. Strong
|
F | 22 | 16.2 | 7.5 | 3.9 | 0.8 | 0.5 | 0.0 | 1.2 | 5.2 | 6.4 | 30 | 2.3 | 5.8 | 52.6 | 0 | 75.9 | 2.07 | 58.8 | 52.6 |
M. Winter
|
C | 26 | 22.5 | 5.4 | 5.1 | 1.0 | 0.2 | 0.9 | 1.5 | 3.9 | 7.2 | -29 | -1.4 | -2.1 | 58.8 | 0 | 36.2 | -4.16 | 55.3 | 58.8 |
S. Zabrecky
|
G | 29 | 29.8 | 4.4 | 3.4 | 0.8 | 0.5 | 0.1 | 0.9 | 3.8 | 4.6 | 65 | 3.0 | 3.8 | 35.8 | 34.0 | 78.9 | 1.75 | 54.1 | 51.4 |
C. Ortiz
|
G | 28 | 18.1 | 4.2 | 2.9 | 0.8 | 0.6 | 0.0 | 0.5 | 3.6 | 4.5 | 58 | 2.8 | 5.7 | 44.0 | 33.3 | 100.0 | 2.52 | 56.8 | 54.5 |
S. Serrano
|
G | 28 | 14.3 | 3.6 | 2.3 | 0.8 | 0.4 | 0.2 | 1.0 | 3.7 | 2.6 | 28 | 1.3 | 2.7 | 29.1 | 17.4 | 70.2 | 1.48 | 40.8 | 33.0 |
G. Harris
|
G | 19 | 12.1 | 1.9 | 1.2 | 0.4 | 0.3 | 0.0 | 0.4 | 2.2 | 1.3 | -13 | -0.7 | -1.4 | 31.0 | 27.3 | 50.0 | -0.07 | 42.0 | 41.7 |
M. Sanaj
|
G | 14 | 9.4 | 1.6 | 1.5 | 0.1 | 0.1 | 0.1 | 0.4 | 1.8 | 1.3 | -11 | -1.2 | -4.5 | 32.0 | 26.7 | 42.9 | -2.82 | 41.0 | 40.0 |
M. Green
|
F | 12 | 3.6 | 1.0 | 1.0 | 0.1 | 0.0 | 0.2 | 0.2 | 1.2 | 0.9 | -16 | -1.2 | -6.7 | 35.7 | 0 | 50.0 | -4.26 | 38.1 | 35.7 |
L. Walker-George
|
G | 8 | 6.4 | 1.0 | 1.6 | 0.4 | 0.4 | 0.0 | 0.5 | 1.4 | 1.5 | 10 | 0.9 | 3.3 | 27.3 | 0 | 33.3 | 0.79 | 29.3 | 27.3 |
J. Powers
|
F | 6 | 2.7 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | 0.0 | -6 | -0.9 | -7.7 | 0.0 | 0 | 100.0 | -1.46 | 34.7 | 0.0 |
J. McClure
|
G | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Aileen Becerril Landeros
|
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