Florida
2026 Team Stats (35 games)
87.1
PPG
71.5
Opp
+15.6
Margin
48.4%
FG%
31.2%
3P%
71.2%
FT%
45.1
RPG
17.0
APG
11.7
TO
86.7
Pace
90.3
AdjO
63.6
AdjD
#4
Rank
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1295 (#19) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1341 (#11) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1137 (#24) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +26.3 (#4) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +40.1 (#2) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.906 (#7) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.951 (#25) | NetEff +26.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.981 (#6) | AdjNet +34.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.982 (#6) | AdjNet +34.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.919 (#4) | AdjO 90.3 | AdjD 63.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.863 (#2) | AdjO 86.1 | AdjD 65.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.971 (#4) | 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 → | 0.961 (#4) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1340 (#17) | RD 105 | GP 35 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Haugh
|
F | 34 | 33.3 | 17.1 | 6.1 | 2.1 | 1.1 | 1.0 | 1.5 | 11.8 | 14.1 | 81 | 3.7 | 6.6 | 46.0 | 32.6 | 77.4 | 1.82 | 59.5 | 53.2 |
A. Condon
|
F | 34 | 30.5 | 15.1 | 7.5 | 3.6 | 0.7 | 1.4 | 2.4 | 10.0 | 15.8 | 188 | 7.8 | 18.6 | 55.6 | 17.0 | 64.9 | 0.57 | 60.3 | 56.9 |
X. Lee
|
G | 35 | 27.4 | 11.6 | 3.7 | 4.2 | 1.2 | 0.1 | 1.7 | 9.7 | 9.3 | 186 | 7.8 | 14.2 | 42.0 | 29.2 | 76.5 | 1.03 | 54.1 | 50.4 |
B. Fland
|
- | 35 | 30.0 | 11.6 | 2.5 | 3.5 | 1.7 | 0.1 | 1.6 | 9.4 | 8.4 | 269 | 12.2 | 17.5 | 44.7 | 24.0 | 72.6 | 2.5 | 53.6 | 49.2 |
R. Chinyelu
|
C | 35 | 24.5 | 10.9 | 11.2 | 0.7 | 0.8 | 1.0 | 1.5 | 7.3 | 15.8 | 227 | 9.1 | 18.1 | 58.6 | 0.0 | 69.5 | 1.78 | 62.0 | 58.6 |
U. Klavzar
|
- | 35 | 20.7 | 9.6 | 1.5 | 1.3 | 0.3 | 0.1 | 0.8 | 6.7 | 5.3 | 157 | 7.1 | 14.5 | 44.4 | 40.6 | 90.3 | 1.18 | 64.1 | 59.6 |
I. Brown
|
- | 33 | 12.8 | 5.5 | 2.5 | 0.6 | 0.3 | 0.3 | 0.5 | 4.2 | 4.6 | 36 | 2.0 | 9.4 | 47.4 | 34.6 | 73.3 | -0.01 | 57.7 | 54.0 |
M. Handlogten
|
- | 34 | 14.8 | 4.1 | 5.9 | 0.7 | 0.5 | 0.9 | 0.7 | 3.0 | 8.4 | 95 | 4.5 | 20.9 | 63.7 | 0.0 | 37.0 | 0.22 | 61.5 | 63.7 |
Cj Ingram Ii
|
- | 21 | 5.4 | 2.2 | 0.9 | 0.4 | 0.1 | 0.1 | 0.4 | 1.7 | 1.7 | -4 | -0.3 | -2.2 | 45.7 | 50.0 | 50.0 | -0.33 | 57.1 | 57.1 |
V. Mikic
|
- | 17 | 2.9 | 1.3 | 0.8 | 0.4 | 0.0 | 0.1 | 0.4 | 1.4 | 0.9 | -6 | -0.5 | -6.0 | 30.4 | 25.0 | 53.8 | -0.17 | 38.3 | 32.6 |
Alex Lloyd
|
- | 17 | 4.8 | 1.2 | 0.8 | 0.2 | 0.1 | 0.1 | 0.4 | 1.5 | 0.4 | 18 | 1.8 | 12.6 | 30.8 | 21.1 | 20.0 | 0.07 | 37.2 | 38.5 |
C. Josefsberg
|
- | 3 | 1.3 | 1.0 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 1.0 | -1 | -1.0 | -52.2 | 50.0 | 100.0 | 0 | -0.03 | 75.0 | 75.0 |
O. Rioux
|
- | 11 | 1.5 | 0.6 | 0.5 | 0.1 | 0.0 | 0.0 | 0.1 | 0.5 | 0.6 | -9 | -1.5 | -33.4 | 50.0 | 0 | 50.0 | -0.15 | 50.9 | 50.0 |
A. Kovatchev
|
- | 15 | 3.4 | 0.5 | 0.4 | 0.1 | 0.1 | 0.1 | 0.1 | 0.8 | 0.3 | 6 | 0.8 | 8.4 | 25.0 | 22.2 | 0 | -0.04 | 33.3 | 33.3 |
AJ Brown
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 21 | 7.0 | 22.9 | - | - | - | 0.22 | - | - |
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