Florida Gators
2026 Team Stats (29 games)
72.0
PPG
67.5
Opp
+4.5
Margin
44.4%
FG%
29.7%
3P%
69.2%
FT%
37.2
RPG
13.3
APG
16.9
TO
84.6
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 → | 976 (#447) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +31.9 (#37) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.709 (#61) | AdjO 70.6 | AdjD 60.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.930 (#51) | 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 → | 0.904 (#52) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1139 (#109) | RD 152 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. McGill
|
G | 27 | 37.3 | 22.5 | 6.4 | 6.2 | 2.5 | 0.6 | 5.3 | 19.1 | 13.8 | 65 | 2.7 | 2.7 | 43.3 | 26.8 | 69.0 | 3.01 | 51.2 | 47.3 |
M. O'Neal
|
G | 29 | 25.7 | 13.8 | 6.1 | 1.1 | 1.4 | 1.5 | 1.3 | 8.7 | 13.9 | 43 | 1.7 | 2.2 | 52.0 | 38.0 | 73.9 | 0.69 | 63.8 | 58.9 |
L. Reynolds
|
G | 29 | 32.6 | 11.6 | 3.4 | 2.1 | 1.6 | 0.7 | 3.0 | 9.8 | 6.5 | 32 | 1.2 | 1.3 | 41.8 | 13.3 | 65.5 | 0.36 | 48.2 | 42.5 |
N. Yiech
|
F | 29 | 16.1 | 5.6 | 3.1 | 0.2 | 0.9 | 0.3 | 1.1 | 4.1 | 5.0 | 98 | 3.8 | 9.3 | 49.6 | 37.3 | 61.0 | 3.48 | 59.1 | 57.6 |
J. Weathersby
|
F | 24 | 14.1 | 5.3 | 3.5 | 0.6 | 0.3 | 0.2 | 1.2 | 4.1 | 4.8 | -10 | -0.5 | -1.6 | 42.4 | 35.8 | 83.3 | -0.86 | 57.0 | 52.0 |
A. Dizeko
|
F | 29 | 22.2 | 5.0 | 2.3 | 1.4 | 0.6 | 0.1 | 1.1 | 4.5 | 3.8 | 21 | 0.8 | 1.3 | 42.7 | 31.6 | 83.3 | 0.76 | 52.2 | 49.6 |
C. Piatti
|
C | 29 | 19.3 | 3.8 | 2.7 | 0.6 | 0.6 | 0.2 | 2.0 | 4.0 | 1.9 | -29 | -1.1 | -1.8 | 42.2 | 20.6 | 50.0 | -2.76 | 45.7 | 45.3 |
G. Ezekiel
|
C | 28 | 8.1 | 2.2 | 1.9 | 0.1 | 0.1 | 0.1 | 0.9 | 1.5 | 2.1 | 2 | 0.1 | 0.4 | 57.1 | 0 | 66.7 | 0.24 | 60.5 | 57.1 |
K. Godfrey
|
G | 27 | 13.4 | 2.0 | 2.6 | 0.6 | 0.7 | 0.2 | 0.4 | 2.4 | 3.3 | 29 | 1.2 | 2.8 | 31.2 | 15.6 | 58.8 | 0.61 | 38.5 | 35.2 |
E. Dakic
|
G | 26 | 7.5 | 1.7 | 1.0 | 0.5 | 0.4 | 0.0 | 0.3 | 1.2 | 2.1 | 48 | 2.0 | 8.1 | 48.4 | 43.8 | 72.7 | 4.34 | 62.8 | 59.7 |
D. Mindoudi Ongbakahoumb
|
G | 23 | 10.9 | 1.3 | 0.8 | 0.4 | 0.0 | 0.2 | 0.5 | 1.4 | 0.8 | - | - | - | 33.3 | 26.3 | 100.0 | - | 44.6 | 40.9 |
S. Deng
|
G | 19 | 3.4 | 0.5 | 0.4 | 0.1 | 0.2 | 0.1 | 0.2 | 0.4 | 0.6 | 29 | 1.6 | 15.4 | 42.9 | 0.0 | 50.0 | 0.58 | 47.5 | 42.9 |
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