Seattle U Redhawks
2023 Team Stats (4 games)
66.8
PPG
79.8
Opp
-13.0
Margin
45.1%
FG%
37.0%
3P%
69.7%
FT%
30.5
RPG
14.0
APG
20.0
TO
81.0
Pace
Model Outputs
2022-2023
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 → | 782 (#381) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 836 (#377) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +1.4 (#343) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.131 (#314) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-12 | @ | Oregon Ducks | L | 47 - 90 |
| 2022-12-13 | vs | Eastern Washington Eagles | L | 60 - 66 |
| 2023-03-06 | @ | UT Arlington Mavericks | W | 80 - 78 |
| 2023-03-08 | @ | Grand Canyon Lopes | L | 80 - 85 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Clark
|
G | 4 | 27.8 | 14.8 | 3.2 | 1.8 | 0.5 | 0.5 | 2.0 | 10.2 | 8.5 | - | - | - | 46.3 | 45.5 | 84.6 | - | 63.1 | 58.5 |
P. Howard
|
G | 4 | 28.2 | 12.8 | 3.0 | 3.2 | 1.2 | 0.2 | 4.2 | 10.0 | 6.2 | - | - | - | 42.5 | 33.3 | 75.0 | - | 52.3 | 45.0 |
A. Blauenfeldt
|
G | 4 | 21.2 | 9.5 | 1.5 | 1.5 | 0.0 | 0.0 | 3.0 | 4.5 | 5.0 | - | - | - | 72.2 | 100.0 | 88.9 | - | 86.5 | 83.3 |
I. Korolenko
|
F | 4 | 26.0 | 8.8 | 4.8 | 1.0 | 1.0 | 0.2 | 1.2 | 7.8 | 6.8 | - | - | - | 41.9 | 30.0 | 37.5 | - | 50.7 | 51.6 |
M. Moore
|
F | 4 | 16.0 | 7.8 | 3.5 | 1.8 | 0.2 | 1.2 | 2.0 | 5.2 | 7.2 | - | - | - | 66.7 | 0 | 33.3 | - | 62.1 | 66.7 |
K. Kyrkjebo
|
F | 4 | 17.8 | 4.2 | 4.0 | 1.5 | 0.2 | 0.5 | 1.2 | 4.0 | 5.2 | - | - | - | 43.8 | 100.0 | 100.0 | - | 50.4 | 46.9 |
L. Michaelsen
|
F | 4 | 17.8 | 4.0 | 2.5 | 0.2 | 0.0 | 0.2 | 0.5 | 2.8 | 3.8 | - | - | - | 63.6 | 0 | 66.7 | - | 64.9 | 63.6 |
J. Walker
|
G | 4 | 19.0 | 2.8 | 0.5 | 1.5 | 0.5 | 0.0 | 1.8 | 5.0 | -1.5 | - | - | - | 20.0 | 25.0 | 0 | - | 27.5 | 27.5 |
S. Liggett
|
G | 4 | 20.2 | 2.2 | 2.8 | 1.2 | 0.5 | 0.2 | 2.5 | 3.0 | 1.5 | - | - | - | 25.0 | 14.3 | 100.0 | - | 34.9 | 29.2 |
M. Phillips
|
F | 2 | 6.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 1.0 | -0.5 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
R. Jagger
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
E. Tarasow
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
H. Martin
|
G | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
N. Bariteau
|
G | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
M. Moore
|
G | 4 | 1.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.2 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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