Miami
2026 Team Stats (34 games)
81.3
PPG
71.5
Opp
+9.8
Margin
49.8%
FG%
34.9%
3P%
68.2%
FT%
37.4
RPG
16.1
APG
11.1
TO
80.5
Pace
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 → | 1279 (#18) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1281 (#25) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1112 (#41) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.0 (#30) | - |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +14.9 (#34) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.859 (#23) | - |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.807 (#30) | - |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.678 (#40) | - |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1290 (#21) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Reneau
|
- | 34 | 29.3 | 18.9 | 6.6 | 2.1 | 1.1 | 0.8 | 2.8 | 12.5 | 14.2 | 214 | 9.7 | 15.4 | 54.1 | 33.3 | 78.5 | 1.25 | 62.5 | 56.9 |
T. Donaldson
|
G | 34 | 33.9 | 16.5 | 3.6 | 5.6 | 1.4 | 0.2 | 2.1 | 13.0 | 12.1 | 246 | 11.2 | 14.9 | 45.8 | 36.2 | 77.0 | 1.73 | 56.4 | 52.5 |
Shelton Henderson
|
- | 34 | 31.2 | 13.9 | 4.9 | 2.1 | 1.1 | 0.3 | 1.7 | 9.7 | 10.9 | 191 | 8.7 | 13.1 | 56.4 | 25.5 | 56.9 | 1.27 | 59.4 | 58.3 |
T. Washington
|
G | 30 | 27.2 | 11.9 | 4.0 | 1.8 | 1.8 | 0.0 | 1.4 | 9.5 | 8.6 | 157 | 7.8 | 12.2 | 44.7 | 36.3 | 74.7 | 1.01 | 55.2 | 51.2 |
E. Udeh Jr.
|
C | 32 | 28.4 | 6.6 | 9.2 | 0.5 | 1.0 | 1.4 | 0.6 | 3.6 | 14.4 | 69 | 6.9 | 232.3 | 72.4 | 0 | 52.4 | 0.76 | 69.4 | 72.4 |
Dante Allen
|
- | 30 | 23.8 | 6.6 | 2.8 | 2.2 | 1.0 | 0.1 | 1.0 | 5.6 | 6.1 | 65 | 3.8 | 9.3 | 43.1 | 32.1 | 58.3 | 0.0 | 52.4 | 50.6 |
M. Allen
|
- | 8 | 18.9 | 5.2 | 3.1 | 1.6 | 0.2 | 0.0 | 0.2 | 4.1 | 5.9 | 38 | 4.8 | 10.6 | 42.4 | 38.5 | 69.2 | 0.46 | 54.2 | 50.0 |
Timotej Malovec
|
- | 32 | 14.5 | 3.8 | 1.3 | 0.8 | 0.3 | 0.2 | 0.6 | 3.5 | 2.4 | 159 | 7.2 | 17.8 | 33.9 | 32.7 | 68.4 | 1.03 | 50.7 | 48.7 |
Noam Dovrat
|
- | 27 | 9.4 | 3.8 | 0.5 | 1.0 | 0.4 | 0.0 | 0.4 | 2.7 | 2.6 | 89 | 5.2 | 23.2 | 45.2 | 46.6 | 100.0 | 0.75 | 66.3 | 63.7 |
Salih Altuntas
|
- | 31 | 7.5 | 1.5 | 1.9 | 0.1 | 0.2 | 0.4 | 0.4 | 1.0 | 2.8 | 91 | 4.1 | 20.0 | 65.6 | 0 | 37.5 | 0.78 | 61.5 | 65.6 |
John Laboy, Ii
|
- | 6 | 4.2 | 1.2 | 0.2 | 0.5 | 0.3 | 0.0 | 0.5 | 1.3 | 0.3 | -10 | -5.0 | -59.0 | 25.0 | 33.3 | 50.0 | -0.26 | 39.4 | 37.5 |
J. Kee
|
- | 7 | 3.3 | 0.4 | 0.3 | 0.4 | 0.1 | 0.0 | 0.1 | 0.9 | 0.3 | -10 | -1.4 | -17.6 | 16.7 | 25.0 | 0 | -0.25 | 25.0 | 25.0 |
Treyvon Maddox
|
F | 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