Seattle U Redhawks
2022 Team Stats (4 games)
60.5
PPG
65.0
Opp
-4.5
Margin
38.7%
FG%
22.9%
3P%
75.9%
FT%
37.0
RPG
11.3
APG
16.3
TO
80.9
Pace
Model Outputs
2021-2022
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 → | 791 (#381) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 830 (#377) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +1.7 (#337) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.131 (#315) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-25 | @ | SMU Mustangs | W | 70 - 66 |
| 2022-01-10 | vs | Chicago State Cougars | L | 57 - 64 |
| 2022-02-08 | @ | New Mexico State Aggies | L | 54 - 59 |
| 2022-03-08 | @ | UT Rio Grande Valley Vaqueros | L | 61 - 71 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Williams
|
G | 3 | 33.3 | 11.0 | 2.0 | 2.0 | 0.3 | 0.0 | 4.0 | 10.3 | 1.0 | -26 | -4.3 | -82.0 | 45.2 | 22.2 | 60.0 | 1.63 | 49.7 | 48.4 |
C. Murphy
|
G | 4 | 32.8 | 10.0 | 6.0 | 1.2 | 1.0 | 0.2 | 1.2 | 10.5 | 6.8 | - | - | - | 33.3 | 25.0 | 75.0 | 0.68 | 43.9 | 40.5 |
B. Calhoun
|
G | 4 | 26.8 | 10.0 | 3.5 | 4.2 | 2.2 | 0.2 | 5.2 | 12.2 | 2.8 | - | - | - | 26.5 | 9.5 | 100.0 | 0.92 | 36.8 | 28.6 |
G. Kehoe
|
F | 3 | 19.0 | 7.7 | 5.3 | 1.0 | 1.0 | 1.7 | 2.0 | 7.7 | 7.0 | - | - | - | 43.5 | 0.0 | 75.0 | 0.21 | 46.4 | 43.5 |
J. Alexander
|
G | 1 | 27.0 | 6.0 | 2.0 | 1.0 | 1.0 | 0.0 | 1.0 | 4.0 | 5.0 | 22 | 2.2 | 17.8 | 50.0 | 0.0 | 100.0 | 0.6 | 61.5 | 50.0 |
H. Vice-Neat
|
F | 3 | 24.0 | 6.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.3 | 4.7 | 3.0 | - | - | - | 42.9 | 14.3 | 100.0 | 0.56 | 55.6 | 46.4 |
B. Rangel
|
C | 3 | 16.0 | 6.0 | 5.0 | 0.0 | 0.3 | 0.3 | 0.3 | 4.3 | 7.0 | - | - | - | 61.5 | 0 | 50.0 | 0.35 | 61.0 | 61.5 |
P. Howard
|
G | 4 | 28.2 | 5.2 | 5.0 | 2.2 | 1.5 | 0.5 | 2.8 | 5.5 | 6.2 | -34 | -2.0 | -15.8 | 31.8 | 25.0 | 60.0 | 0.5 | 39.8 | 34.1 |
T. Clark
|
G | 4 | 17.0 | 4.8 | 3.2 | 0.8 | 1.2 | 0.0 | 0.5 | 4.5 | 5.0 | - | - | - | 44.4 | 60.0 | 0 | -0.05 | 52.8 | 52.8 |
I. Korolenko
|
F | 3 | 16.3 | 4.3 | 2.3 | 0.0 | 0.0 | 0.0 | 0.3 | 4.3 | 2.0 | - | - | - | 38.5 | 28.6 | 50.0 | 0.98 | 46.8 | 46.2 |
E. Tarasow
|
G | 1 | 4.0 | 4.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 4.0 | 45 | 9.0 | 54.2 | 100.0 | 100.0 | 50.0 | 0.12 | 106.4 | 150.0 |
M. Phillips
|
F | 2 | 12.5 | 2.5 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | - | - | - | 50.0 | 33.3 | 0 | 0.07 | 62.5 | 62.5 |
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