South Florida
2026 Team Stats (33 games)
87.7
PPG
75.8
Opp
+11.9
Margin
43.8%
FG%
32.7%
3P%
74.7%
FT%
42.4
RPG
17.2
APG
11.2
TO
89.3
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 → | 1132 (#33) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +29.6 (#25) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.780 (#13) | AdjO 82.6 | AdjD 68.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.932 (#29) | 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 → | 0.917 (#27) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1283 (#35) | RD 112 | GP 33 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
W. Enis
|
- | 31 | 34.1 | 16.7 | 3.5 | 2.5 | 1.1 | 0.1 | 1.6 | 14.1 | 8.1 | 20 | 2.2 | 6.7 | 39.1 | 35.5 | 81.4 | 0.55 | 54.5 | 51.3 |
I. Nelson
|
- | 33 | 27.5 | 15.8 | 9.6 | 1.2 | 1.6 | 1.4 | 1.4 | 10.1 | 18.2 | 48 | 4.0 | 18.2 | 56.8 | 14.6 | 73.0 | 0.62 | 62.8 | 57.8 |
J. Pinion
|
G | 33 | 30.1 | 14.4 | 3.9 | 2.4 | 1.7 | 0.2 | 1.5 | 12.5 | 8.6 | 0 | 0.0 | 0.0 | 39.1 | 37.2 | 79.7 | 0.73 | 54.1 | 51.8 |
J. Omojafo
|
G | 33 | 27.7 | 11.7 | 5.4 | 1.8 | 0.8 | 0.2 | 1.2 | 7.0 | 11.7 | 30 | 2.1 | 8.9 | 45.9 | 30.1 | 78.2 | 0.54 | 60.9 | 50.6 |
CJ Brown
|
G | 33 | 26.5 | 11.0 | 3.9 | 4.7 | 1.0 | 0.2 | 2.0 | 8.9 | 10.0 | 155 | 9.1 | 14.5 | 38.6 | 27.1 | 72.4 | -0.07 | 49.4 | 41.4 |
I. Jones
|
- | 33 | 16.1 | 4.5 | 3.0 | 0.4 | 1.3 | 0.3 | 0.3 | 3.4 | 5.8 | -6 | -0.9 | -30.0 | 41.6 | 31.8 | 82.9 | -0.0 | 58.4 | 53.5 |
D. Collins
|
- | 32 | 14.1 | 4.1 | 3.2 | 0.4 | 0.2 | 1.5 | 0.5 | 2.8 | 6.0 | -28 | -1.2 | -4.8 | 58.2 | 15.8 | 57.9 | 0.09 | 60.8 | 59.9 |
G. Hightower
|
- | 26 | 10.2 | 4.1 | 1.7 | 1.7 | 0.8 | 0.0 | 1.2 | 2.8 | 4.3 | 16 | 1.0 | 10.8 | 52.8 | 20.0 | 67.4 | 0.18 | 58.3 | 53.5 |
A. Nyorha
|
- | 25 | 10.6 | 3.6 | 1.6 | 1.9 | 0.6 | 0.0 | 1.2 | 3.2 | 3.2 | 10 | 1.0 | 6.7 | 38.3 | 30.0 | 67.9 | 0.32 | 48.2 | 43.8 |
D. Haid
|
- | 22 | 10.3 | 3.4 | 2.1 | 0.9 | 0.7 | 0.1 | 0.3 | 2.9 | 4.0 | 70 | 3.7 | 22.3 | 39.1 | 31.4 | 93.3 | -0.0 | 53.1 | 47.7 |
C. Sanders
|
- | 11 | 7.5 | 2.8 | 1.5 | 0.7 | 0.3 | 0.0 | 0.4 | 1.6 | 3.3 | 23 | 2.3 | 25.6 | 44.4 | 33.3 | 66.7 | 0.14 | 59.8 | 52.8 |
X. Brown
|
G | 1 | 14.0 | 2.0 | 1.0 | 3.0 | 0.0 | 0.0 | 0.0 | 3.0 | 3.0 | 58 | 2.6 | 3.6 | 0.0 | 0 | 100.0 | 0.17 | 25.8 | 0.0 |
T. Beckford
|
- | 21 | 5.8 | 1.8 | 1.3 | 0.2 | 0.2 | 0.1 | 0.2 | 1.3 | 2.0 | 18 | 1.5 | 13.4 | 42.9 | 22.2 | 75.0 | -0.37 | 54.2 | 46.4 |
D. Green
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 209 | 8.7 | 15.7 | - | - | - | 1.0 | - | - |
O. Nnani
|
- | 2 | 0.5 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2 | 2.0 | 70.6 | 0 | 0 | 0 | 0.03 | 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