Seattle U
2026 Team Stats (34 games)
72.1
PPG
67.2
Opp
+4.9
Margin
44.0%
FG%
33.6%
3P%
70.7%
FT%
32.5
RPG
13.6
APG
11.5
TO
77.8
Pace
71.3
AdjO
66.7
AdjD
#106
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 → | 1055 (#135) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1090 (#100) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1042 (#119) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +4.2 (#108) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +17.3 (#112) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.577 (#126) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.858 (#61) | NetEff +14.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.675 (#107) | AdjNet +6.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.677 (#107) | AdjNet +6.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.603 (#106) | AdjO 71.3 | AdjD 66.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.591 (#130) | AdjO 69.4 | AdjD 65.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.824 (#101) | 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 → | 0.787 (#107) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1140 (#101) | RD 108 | GP 34 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Maldonado
|
- | 31 | 30.5 | 14.2 | 3.4 | 2.9 | 1.4 | 0.1 | 1.6 | 11.3 | 9.1 | 76 | 2.9 | 5.5 | 39.9 | 37.0 | 87.9 | 0.49 | 55.9 | 50.4 |
W. Heimbrodt
|
- | 33 | 30.7 | 12.3 | 5.3 | 2.2 | 1.2 | 2.7 | 2.4 | 11.0 | 10.2 | 63 | 2.9 | 5.1 | 42.5 | 30.0 | 59.0 | 0.51 | 48.1 | 45.0 |
J. Yeo
|
- | 33 | 30.8 | 12.1 | 4.2 | 1.6 | 0.5 | 0.4 | 2.1 | 9.7 | 6.9 | -30 | -2.5 | -10.4 | 43.6 | 29.8 | 69.8 | -0.06 | 54.8 | 51.6 |
A. Maurer
|
C | 34 | 17.8 | 7.1 | 4.6 | 0.5 | 0.6 | 0.9 | 0.8 | 5.0 | 7.9 | 7 | 0.5 | 3.0 | 52.6 | 27.0 | 72.2 | 0.5 | 59.7 | 55.6 |
J. Christofilis
|
- | 34 | 16.5 | 6.5 | 1.1 | 0.3 | 0.2 | 0.1 | 0.3 | 5.5 | 2.4 | 79 | 3.0 | 11.8 | 40.3 | 37.7 | 83.3 | -0.29 | 55.5 | 52.7 |
Jojo Murphy
|
- | 34 | 15.8 | 6.0 | 2.4 | 1.4 | 0.8 | 0.1 | 0.8 | 5.1 | 4.8 | 26 | 2.2 | 68.5 | 40.6 | 34.9 | 79.5 | 0.23 | 52.8 | 49.1 |
H. Dan
|
- | 34 | 15.2 | 5.9 | 2.5 | 0.3 | 0.4 | 0.4 | 1.1 | 4.0 | 4.4 | -2 | -0.1 | -0.4 | 58.8 | 0 | 64.5 | -0.42 | 61.2 | 58.8 |
Y. Kawashima
|
- | 4 | 8.2 | 5.0 | 2.8 | 0.0 | 0.0 | 0.2 | 0.2 | 4.5 | 3.2 | 39 | 13.0 | 441.5 | 50.0 | 20.0 | 50.0 | -0.02 | 53.0 | 52.8 |
M. Arington
|
- | 34 | 29.3 | 4.7 | 3.0 | 3.9 | 2.2 | 0.1 | 1.4 | 3.7 | 8.9 | -14 | -0.9 | -9.4 | 30.2 | 30.8 | 76.7 | 0.21 | 48.6 | 36.5 |
Ray Adams
|
- | 5 | 10.2 | 3.2 | 2.2 | 1.6 | 1.4 | 0.4 | 0.4 | 3.4 | 5.0 | 41 | 10.2 | 243.6 | 35.3 | 25.0 | 60.0 | -0.07 | 41.7 | 38.2 |
B. Felder
|
- | 27 | 7.3 | 3.1 | 2.3 | 0.1 | 0.1 | 0.2 | 0.4 | 1.7 | 3.7 | 6 | 0.2 | 1.8 | 80.9 | 0.0 | 53.3 | -0.5 | 78.4 | 80.9 |
Miles Amos
|
- | 30 | 10.5 | 1.9 | 1.5 | 0.6 | 0.5 | 0.0 | 0.8 | 1.3 | 2.5 | -21 | -1.8 | -19.3 | 48.7 | 46.2 | 50.0 | 0.03 | 56.5 | 56.4 |
Stratos Papastavrou
|
- | 4 | 7.8 | 0.5 | 1.8 | 0.5 | 0.0 | 0.0 | 0.5 | 2.2 | 0.0 | 39 | 13.0 | 441.5 | 11.1 | 0.0 | 0.0 | -0.02 | 10.1 | 11.1 |
Eric Zheng
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Jeremiah Harshman
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
JT White
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 63 | 3.9 | 11.5 | - | - | - | 0.36 | - | - |
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