Miami (OH) Redhawks
2026 Team Stats (31 games)
70.9
PPG
58.7
Opp
+12.2
Margin
44.7%
FG%
35.5%
3P%
75.5%
FT%
33.2
RPG
16.0
APG
15.5
TO
79.1
Pace
67.4
AdjO
58.8
AdjD
#83
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 → | 1294 (#22) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1202 (#66) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1125 (#42) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +9.1 (#81) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +22.6 (#75) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.838 (#54) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.873 (#54) | NetEff +15.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.843 (#79) | AdjNet +14.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.845 (#80) | AdjNet +14.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.685 (#83) | AdjO 67.4 | AdjD 58.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.707 (#63) | AdjO 66.2 | AdjD 56.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.911 (#62) | 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 → | 0.892 (#60) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1277 (#31) | RD 111 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Tretter
|
F | 31 | 30.6 | 14.8 | 7.8 | 1.5 | 1.4 | 1.1 | 1.9 | 10.5 | 14.3 | 57 | 2.6 | 3.8 | 50.6 | 35.8 | 74.2 | -0.69 | 60.2 | 55.9 |
A. Scalia
|
G | 31 | 31.8 | 13.8 | 3.0 | 2.5 | 0.9 | 0.1 | 2.4 | 10.8 | 7.0 | 94 | 4.3 | 5.9 | 41.1 | 34.5 | 82.3 | 2.49 | 55.6 | 50.0 |
I. de Vries
|
F | 31 | 31.1 | 13.3 | 5.1 | 0.8 | 1.1 | 1.9 | 1.9 | 10.1 | 10.3 | 111 | 5.0 | 7.3 | 50.6 | 39.6 | 71.4 | 1.06 | 61.0 | 59.4 |
T. Singer
|
G | 31 | 33.2 | 10.2 | 3.9 | 7.0 | 2.5 | 0.1 | 4.1 | 8.4 | 11.2 | 121 | 5.8 | 7.0 | 42.5 | 29.3 | 83.3 | 3.15 | 53.5 | 48.1 |
B. Blumenfeld
|
F | 4 | 12.5 | 9.0 | 3.2 | 0.0 | 0.5 | 0.2 | 0.5 | 5.5 | 7.0 | 0 | 0.0 | 0.0 | 68.2 | 0.0 | 100.0 | -3.48 | 73.1 | 68.2 |
N. Jurjo
|
G | 29 | 29.6 | 6.2 | 4.4 | 2.3 | 2.2 | 0.2 | 1.8 | 5.4 | 8.0 | 86 | 4.3 | 6.3 | 39.9 | 40.8 | 67.6 | -1.47 | 52.0 | 49.7 |
C. Gonzalez Planella
|
G | 31 | 14.0 | 4.1 | 1.5 | 0.7 | 1.0 | 0.1 | 0.8 | 4.0 | 2.7 | 35 | 1.6 | 4.5 | 36.3 | 37.0 | 66.7 | 0.59 | 47.1 | 44.4 |
M. Taylor
|
G | 31 | 12.7 | 3.9 | 1.4 | 0.7 | 0.8 | 0.1 | 0.9 | 3.3 | 2.7 | 58 | 2.6 | 8.0 | 46.1 | 37.5 | 83.3 | 1.27 | 55.0 | 52.0 |
A. Elley
|
G | 25 | 6.0 | 1.5 | 0.7 | 0.1 | 0.2 | 0.1 | 0.2 | 1.2 | 1.1 | 29 | 2.1 | 14.4 | 35.5 | 35.5 | 57.1 | -0.31 | 54.3 | 53.2 |
M. Sakano
|
G | 29 | 8.7 | 1.5 | 0.6 | 0.3 | 0.3 | 0.0 | 0.4 | 1.5 | 0.9 | 42 | 2.1 | 8.8 | 39.5 | 23.5 | 60.0 | -0.6 | 46.4 | 44.2 |
E. VanTimmeren
|
F | 25 | 4.2 | 1.2 | 0.7 | 0.1 | 0.2 | 0.1 | 0.2 | 1.0 | 1.1 | 5 | 0.3 | 2.9 | 45.8 | 33.3 | 43.8 | 0.61 | 48.3 | 47.9 |
A. Hurst
|
G | 21 | 2.5 | 0.2 | 0.2 | 0.1 | 0.1 | 0.0 | 0.1 | 0.5 | 0.0 | 10 | 0.8 | 14.5 | 18.2 | 20.0 | 0 | -0.59 | 22.7 | 22.7 |
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