South Florida Bulls
2026 Team Stats (29 games)
69.5
PPG
67.0
Opp
+2.5
Margin
43.1%
FG%
30.2%
3P%
74.3%
FT%
39.9
RPG
15.5
APG
15.4
TO
83.7
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 → | 1047 (#130) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +23.7 (#67) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.692 (#71) | AdjO 68.4 | AdjD 59.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.885 (#78) | 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 → | 0.862 (#80) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1115 (#128) | RD 132 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Battle
|
G | 22 | 30.4 | 14.5 | 3.1 | 3.8 | 0.6 | 0.1 | 2.4 | 12.8 | 7.0 | 106 | 6.2 | 8.1 | 41.3 | 17.6 | 82.0 | 5.43 | 49.2 | 42.3 |
K. Davidson
|
G | 28 | 28.9 | 12.0 | 2.8 | 1.3 | 0.6 | 0.5 | 1.2 | 10.1 | 5.9 | 4 | 0.2 | 0.2 | 42.2 | 37.4 | 84.1 | -1.73 | 54.4 | 50.4 |
L. Mputu
|
F | 27 | 25.2 | 11.0 | 8.0 | 0.4 | 0.5 | 0.8 | 1.3 | 9.0 | 10.3 | 27 | 1.2 | 2.0 | 53.7 | 0 | 67.3 | 0.65 | 55.6 | 53.7 |
S. Ingram
|
G | 29 | 33.8 | 9.7 | 3.8 | 5.6 | 1.3 | 0.4 | 3.1 | 8.5 | 9.2 | 5 | 0.2 | 0.3 | 41.1 | 30.8 | 66.7 | 0.34 | 50.2 | 46.7 |
C. Brito
|
F | 26 | 32.5 | 9.7 | 9.1 | 2.8 | 1.3 | 0.3 | 2.7 | 8.7 | 11.8 | 47 | 2.1 | 2.9 | 42.2 | 30.4 | 71.0 | 4.5 | 49.7 | 46.0 |
F. Diakite
|
F | 21 | 13.5 | 6.3 | 3.9 | 0.2 | 0.8 | 0.7 | 1.4 | 4.8 | 5.7 | -37 | -1.7 | -3.9 | 55.0 | 50.0 | 63.6 | -2.9 | 57.6 | 55.5 |
R. Tomasicka
|
G | 13 | 12.2 | 5.5 | 1.0 | 0.8 | 0.2 | 0.1 | 0.7 | 5.6 | 1.4 | 13 | 1.0 | 2.7 | 35.6 | 31.8 | 92.9 | 1.13 | 45.5 | 40.4 |
J. Bulajic
|
G | 28 | 16.5 | 4.2 | 1.8 | 0.8 | 0.2 | 0.3 | 1.0 | 4.3 | 2.1 | 4 | 0.2 | 0.4 | 35.5 | 26.4 | 63.6 | 0.81 | 45.5 | 43.4 |
I. Pipe
|
F | 29 | 16.4 | 3.8 | 4.3 | 0.7 | 0.8 | 1.0 | 0.8 | 3.3 | 6.5 | - | - | - | 44.8 | 0.0 | 80.0 | - | 50.4 | 44.8 |
K. Lewis-Williams
|
G | 27 | 11.3 | 2.6 | 1.5 | 0.5 | 0.4 | 0.1 | 1.3 | 2.4 | 1.5 | 19 | 0.8 | 1.7 | 35.9 | 20.0 | 79.3 | 2.23 | 45.6 | 36.7 |
J. Aarnio
|
G | 3 | 11.0 | 1.7 | 1.3 | 1.0 | 1.0 | 0.0 | 0.7 | 2.0 | 2.3 | -8 | -1.6 | -9.5 | 0.0 | 0.0 | 62.5 | 0.11 | 26.3 | 0.0 |
L. Vukcevic
|
C | 6 | 3.8 | 1.0 | 1.0 | 0.0 | 0.0 | 0.2 | 0.7 | 0.3 | 1.2 | 1 | 0.2 | 3.3 | 50.0 | 0 | 100.0 | -0.53 | 79.8 | 50.0 |
L. Teichman
|
G | 18 | 5.4 | 0.9 | 0.5 | 0.6 | 0.1 | 0.0 | 1.0 | 1.1 | 0.1 | 13 | 0.9 | 4.1 | 31.6 | 0.0 | 50.0 | 1.65 | 36.3 | 31.6 |
Y. Karamfilova
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Brooklyn Hall
|
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