Washington State Cougars
2023 Team Stats (11 games)
63.9
PPG
67.4
Opp
-3.5
Margin
41.5%
FG%
32.7%
3P%
76.8%
FT%
35.9
RPG
14.5
APG
15.4
TO
78.0
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 → | 920 (#316) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 947 (#297) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +15.5 (#212) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.103 (#328) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-12-30 | vs | Utah Utes | L | 66 - 71 |
| 2023-01-15 | @ | Oregon Ducks | W | 85 - 84 |
| 2023-01-22 | vs | UCLA Bruins | L | 66 - 73 |
| 2023-01-29 | @ | Arizona Wildcats | W | 70 - 59 |
| 2023-02-03 | vs | Stanford Cardinal | L | 38 - 71 |
| 2023-02-10 | @ | Colorado Buffaloes | L | 68 - 71 |
| 2023-02-12 | @ | Utah Utes | L | 59 - 73 |
| 2023-02-23 | @ | UCLA Bruins | W | 62 - 55 |
| 2023-03-03 | @ | Colorado Buffaloes | W | 61 - 49 |
| 2023-03-05 | @ | UCLA Bruins | W | 65 - 61 |
| 2023-03-18 | vs | Florida Gulf Coast Eagles | L | 63 - 74 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Murekatete
|
C | 11 | 24.6 | 14.5 | 7.1 | 1.6 | 1.3 | 1.1 | 2.3 | 11.1 | 12.3 | - | - | - | 50.0 | 0 | 77.6 | - | 55.7 | 50.0 |
C. Leger-Walker
|
G | 9 | 36.4 | 13.2 | 5.9 | 2.9 | 0.7 | 0.7 | 3.3 | 15.2 | 4.8 | - | - | - | 29.9 | 24.1 | 85.2 | - | 40.0 | 35.0 |
T. Wallack
|
G | 11 | 33.0 | 8.8 | 6.1 | 1.6 | 0.5 | 1.0 | 1.9 | 6.5 | 9.5 | - | - | - | 44.4 | 40.0 | 65.7 | - | 55.5 | 51.4 |
A. Tuhina
|
G | 11 | 27.8 | 7.8 | 2.7 | 2.5 | 1.1 | 0.1 | 1.3 | 6.7 | 6.2 | - | - | - | 40.5 | 40.0 | 80.0 | - | 53.3 | 50.0 |
U. Motuga
|
F | 11 | 29.6 | 7.0 | 4.9 | 2.2 | 0.5 | 0.8 | 2.1 | 5.4 | 8.0 | - | - | - | 47.5 | 37.9 | 76.9 | - | 59.5 | 56.8 |
J. Teder
|
G | 11 | 29.1 | 6.5 | 2.1 | 3.1 | 0.7 | 0.2 | 2.1 | 6.5 | 4.1 | - | - | - | 35.2 | 36.6 | 87.5 | - | 48.3 | 45.8 |
J. Clarke
|
C | 10 | 11.6 | 6.1 | 2.4 | 0.4 | 0.5 | 0.3 | 1.0 | 4.4 | 4.3 | - | - | - | 59.1 | 0 | 90.0 | - | 63.0 | 59.1 |
L. Glazier
|
F | 5 | 4.6 | 1.6 | 0.4 | 0.2 | 0.0 | 0.0 | 0.2 | 1.6 | 0.4 | - | - | - | 37.5 | 0.0 | 100.0 | - | 45.0 | 37.5 |
G. Sarver
|
G | 11 | 10.5 | 1.5 | 1.5 | 0.5 | 0.5 | 0.1 | 1.2 | 1.7 | 1.3 | - | - | - | 36.8 | 14.3 | 66.7 | - | 41.8 | 39.5 |
E. Nankervis
|
C | 3 | 4.0 | 0.7 | 0.7 | 0.0 | 0.0 | 0.0 | 0.3 | 1.0 | 0.0 | - | - | - | 33.3 | 0 | 0.0 | - | 25.8 | 33.3 |
K. Gardner
|
G | 8 | 3.9 | 0.5 | 0.4 | 0.1 | 0.0 | 0.0 | 0.1 | 0.8 | 0.1 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
K. Woods
|
G | 4 | 3.2 | 0.0 | 0.5 | 0.2 | 0.0 | 0.0 | 0.5 | 0.5 | -0.2 | - | - | - | 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