Seattle U Redhawks
2026 Team Stats (27 games)
61.5
PPG
75.7
Opp
-14.2
Margin
38.0%
FG%
28.4%
3P%
79.4%
FT%
33.6
RPG
10.9
APG
17.4
TO
81.8
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 839 (#580) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -5.8 (#369) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.224 (#581) | AdjO 57.9 | AdjD 71.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.299 (#387) | 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 → | 0.266 (#429) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 736 (#572) | RD 159 | GP 27 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Brubaker
|
G | 27 | 32.0 | 16.1 | 4.3 | 1.2 | 1.6 | 0.3 | 2.1 | 12.0 | 9.3 | -75 | -3.4 | -4.2 | 44.3 | 30.8 | 82.8 | -1.78 | 56.8 | 50.0 |
T. Stricklin
|
F | 26 | 30.1 | 10.2 | 6.4 | 1.9 | 1.0 | 0.3 | 2.2 | 9.7 | 7.9 | -82 | -3.9 | -5.3 | 38.3 | 36.2 | 68.5 | -1.06 | 47.9 | 45.1 |
J. Vesic
|
G | 27 | 28.9 | 8.7 | 2.0 | 2.5 | 0.6 | 0.2 | 3.2 | 8.0 | 2.9 | -57 | -2.6 | -4.1 | 42.1 | 34.2 | 67.4 | -1.0 | 50.2 | 47.9 |
A. Bigovic
|
F | 23 | 22.9 | 7.3 | 4.4 | 1.3 | 0.6 | 0.5 | 2.0 | 8.7 | 3.4 | -41 | -2.2 | -3.7 | 31.7 | 23.7 | 95.8 | -0.1 | 39.8 | 36.2 |
S. Rodriguez
|
G | 20 | 26.1 | 6.5 | 5.0 | 1.1 | 1.4 | 0.2 | 1.9 | 6.9 | 5.2 | -32 | -1.6 | -2.1 | 29.0 | 22.4 | 87.5 | -1.26 | 41.8 | 34.4 |
L. Milkovic
|
C | 24 | 16.1 | 6.1 | 3.7 | 0.6 | 0.3 | 0.5 | 1.8 | 6.4 | 3.1 | -4 | -0.2 | -0.5 | 42.9 | 28.0 | 57.1 | -0.04 | 45.9 | 45.1 |
C. Emanga
|
G | 26 | 24.7 | 5.4 | 3.4 | 1.0 | 0.8 | 0.3 | 2.1 | 6.0 | 2.8 | -71 | -3.4 | -7.4 | 29.0 | 9.3 | 85.2 | -2.82 | 39.2 | 30.3 |
A. Ibarra
|
G | 6 | 15.2 | 3.2 | 1.2 | 0.2 | 1.2 | 0.2 | 1.0 | 3.2 | 1.7 | 10 | 1.4 | 7.1 | 36.8 | 16.7 | 60.0 | -1.49 | 44.8 | 42.1 |
D. Mogel
|
G | 15 | 22.1 | 2.8 | 2.1 | 2.0 | 0.8 | 0.3 | 1.7 | 2.7 | 3.7 | 45 | 2.6 | 3.9 | 42.5 | 50.0 | 87.5 | 2.61 | 48.3 | 43.8 |
F. Proctor
|
F | 27 | 10.5 | 2.5 | 1.0 | 0.3 | 0.1 | 0.1 | 0.4 | 1.6 | 2.1 | 50 | 2.3 | 9.1 | 52.4 | 53.3 | 83.3 | 2.74 | 67.1 | 61.9 |
L. Larson
|
G | 22 | 8.7 | 0.5 | 1.2 | 0.6 | 0.3 | 0.0 | 0.6 | 1.0 | 0.9 | -3 | -0.2 | -1.7 | 13.0 | 18.8 | 50.0 | -2.04 | 22.2 | 19.6 |
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