Miami (OH) Redhawks
2026 Team Stats (35 games)
Model Outputs
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 โ | 1248 (#60) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1198 (#66) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1123 (#42) | HCA +106 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +9.1 (#82) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +10.1 (#74) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.838 (#53) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More โ | 0.838 (#53) | NetEff +12.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.841 (#78) | AdjNet +14.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.843 (#80) | AdjNet +14.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.690 (#82) | AdjO 66.3 | AdjD 57.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.671 (#70) | AdjO 65.4 | AdjD 57.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.768 (#68) | 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 โ | 0.765 (#70) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1227 (#50) | RD 108 | GP 33 |
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Amber Tretter
|
F | 35 | 30.5 | 14.4 | 8.0 | 1.6 | 1.3 | 1.1 | 2.0 | 10.2 | 14.3 | 240 | 32 | 7.5 | 10.5 | 50.6 | 36.6 | 74.3 | -0.91 | 60.5 | 56.3 |
Amber Scalia
|
G | 35 | 31.9 | 13.7 | 3.0 | 2.5 | 0.9 | 0.1 | 2.5 | 10.9 | 6.8 | 321 | 31 | 10.4 | 13.7 | 41.7 | 34.2 | 81.6 | 3.81 | 55.5 | 50.7 |
Ilse de Vries
|
F | 35 | 30.6 | 12.7 | 4.9 | 0.8 | 1.0 | 1.9 | 1.8 | 9.9 | 9.6 | 290 | 32 | 9.1 | 12.8 | 49.4 | 38.6 | 71.7 | 2.67 | 59.6 | 57.9 |
Tamar Singer
|
G | 35 | 33.6 | 10.9 | 3.9 | 6.9 | 2.6 | 0.1 | 4.1 | 8.8 | 11.5 | 317 | 32 | 9.9 | 12.8 | 43.3 | 31.7 | 84.1 | 3.75 | 55.0 | 49.8 |
Brooke Blumenfeld
|
F | 7 | 12.1 | 7.1 | 2.6 | 0.1 | 0.4 | 0.1 | 0.9 | 4.9 | 4.7 | 3 | 5 | 0.6 | 3.2 | 58.8 | 0.0 | 100.0 | -3.52 | 65.1 | 58.8 |
Nuria Jurjo
|
G | 32 | 29.5 | 6.6 | 4.2 | 2.2 | 2.2 | 0.2 | 1.8 | 5.7 | 8.0 | 224 | 30 | 7.5 | 10.9 | 40.9 | 41.6 | 65.8 | 0.53 | 53.1 | 51.1 |
Clara Gonzalez Planella
|
G | 35 | 14.2 | 4.0 | 1.5 | 0.9 | 0.9 | 0.1 | 0.8 | 3.9 | 2.7 | 65 | 32 | 2.0 | 6.8 | 35.8 | 35.6 | 67.7 | -2.18 | 46.5 | 43.4 |
Macie Taylor
|
G | 35 | 12.9 | 3.9 | 1.5 | 0.7 | 0.8 | 0.1 | 0.9 | 3.4 | 2.7 | 63 | 32 | 2.0 | 7.0 | 44.2 | 33.3 | 84.2 | -2.88 | 53.0 | 50.0 |
Ashton Elley
|
G | 26 | 5.9 | 1.5 | 0.7 | 0.1 | 0.2 | 0.1 | 0.2 | 1.3 | 1.1 | 19 | 23 | 0.8 | 5.7 | 36.4 | 36.4 | 57.1 | -0.98 | 55.4 | 54.5 |
Mio Sakano
|
G | 33 | 8.7 | 1.5 | 0.6 | 0.3 | 0.3 | 0.0 | 0.4 | 1.6 | 0.7 | 0 | 30 | 0.0 | 0.0 | 34.0 | 20.8 | 66.7 | -1.84 | 42.0 | 38.7 |
Emily VanTimmeren
|
F | 28 | 4.2 | 1.1 | 0.6 | 0.1 | 0.2 | 0.1 | 0.3 | 0.9 | 0.9 | -22 | 21 | -1.0 | -9.6 | 44.0 | 33.3 | 43.8 | -5.06 | 46.8 | 46.0 |
Anna Hurst
|
G | 23 | 2.6 | 0.2 | 0.3 | 0.1 | 0.1 | 0.0 | 0.1 | 0.5 | 0.0 | -25 | 18 | -1.4 | -24.1 | 16.7 | 16.7 | 0 | -4.03 | 20.8 | 20.8 |
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
2025-2026 Shot Zones
1984 located field-goal attempts in 35 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).
Ilse de VriesAmber TretterAmber ScaliaTamar Singer
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 361-586 | 61.6 | 722 | Amber Tretter 24% (176 pts) | Ilse de Vries 20% (142 pts) | Amber Tretter 20% (44 misses) | Tamar Singer 19% (42 misses) |
| Paint (non-RA) | 174-421 | 41.3 | 348 | Amber Tretter 24% (84 pts) | Ilse de Vries 18% (64 pts) | Amber Tretter 20% (50 misses) | Tamar Singer 15% (38 misses) |
| Mid-range left | 20-49 | 40.8 | 40 | Amber Scalia 40% (16 pts) | Ilse de Vries 15% (6 pts) | Amber Scalia 31% (9 misses) | Ilse de Vries 24% (7 misses) |
| Mid-range center | 11-29 | 37.9 | 22 | Amber Scalia 36% (8 pts) | Amber Tretter 27% (6 pts) | Amber Scalia 22% (4 misses) | Clara Gonzalez Planella 17% (3 misses) |
| Mid-range right | 24-62 | 38.7 | 48 | Amber Tretter 29% (14 pts) | Amber Scalia 25% (12 pts) | Amber Scalia 18% (7 misses) | Nuria Jurjo 18% (7 misses) |
| Left corner 3 | 34-104 | 32.7 | 102 | Ilse de Vries 35% (36 pts) | Clara Gonzalez Planella 18% (18 pts) | Ilse de Vries 30% (21 misses) | Amber Scalia 13% (9 misses) |
| Right corner 3 | 25-64 | 39.1 | 75 | Amber Scalia 24% (18 pts) | Ilse de Vries 20% (15 pts) | Ilse de Vries 23% (9 misses) | Amber Scalia 21% (8 misses) |
| Above-break 3 left | 85-250 | 34.0 | 255 | Amber Scalia 36% (93 pts) | Ilse de Vries 14% (36 pts) | Amber Scalia 30% (49 misses) | Tamar Singer 15% (24 misses) |
| Above-break 3 center | 49-145 | 33.8 | 147 | Tamar Singer 24% (36 pts) | Amber Scalia 22% (33 pts) | Amber Scalia 29% (28 misses) | Amber Tretter 25% (24 misses) |
| Above-break 3 right | 98-274 | 35.8 | 294 | Ilse de Vries 20% (60 pts) | Amber Tretter 19% (57 pts) | Amber Scalia 22% (38 misses) | Tamar Singer 22% (38 misses) |