Washington State Cougars
2022 Team Stats (9 games)
51.8
PPG
65.7
Opp
-13.9
Margin
33.0%
FG%
27.1%
3P%
73.9%
FT%
34.9
RPG
11.0
APG
15.8
TO
78.3
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 → | 909 (#320) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 917 (#331) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +16.6 (#201) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.101 (#328) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-25 | vs | Miami Hurricanes | W | 62 - 47 |
| 2021-12-18 | @ | BYU Cougars | L | 53 - 71 |
| 2022-01-02 | vs | Stanford Cardinal | L | 44 - 82 |
| 2022-01-07 | @ | Arizona Wildcats | L | 52 - 60 |
| 2022-02-09 | vs | Oregon Ducks | L | 30 - 83 |
| 2022-02-20 | vs | Arizona Wildcats | W | 72 - 67 |
| 2022-02-24 | @ | Stanford Cardinal | L | 54 - 61 |
| 2022-03-03 | vs | Utah Utes | L | 59 - 70 |
| 2022-03-19 | vs | Kansas State Wildcats | L | 40 - 50 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Leger-Walker
|
G | 9 | 36.2 | 13.1 | 5.2 | 3.2 | 1.3 | 0.4 | 3.2 | 14.9 | 5.2 | 14 | 0.7 | 4.0 | 32.8 | 23.6 | 77.3 | 0.89 | 41.1 | 37.7 |
K. Leger-Walker
|
G | 9 | 36.4 | 8.8 | 5.3 | 3.4 | 1.4 | 0.0 | 3.1 | 10.3 | 5.6 | - | - | - | 34.4 | 24.4 | 62.5 | 0.76 | 40.9 | 39.8 |
B. Murekatete
|
C | 9 | 21.7 | 8.6 | 5.2 | 0.1 | 0.9 | 1.4 | 1.7 | 7.8 | 6.8 | -9 | -0.5 | -4.2 | 42.9 | 0 | 85.0 | 0.52 | 48.9 | 42.9 |
J. Teder
|
G | 9 | 32.2 | 8.2 | 3.1 | 2.1 | 0.9 | 0.0 | 3.3 | 10.2 | 0.8 | -5 | -0.3 | -1.8 | 29.3 | 25.0 | 100.0 | 0.53 | 39.3 | 37.5 |
U. Motuga
|
F | 6 | 29.7 | 4.7 | 6.8 | 1.3 | 0.3 | 0.2 | 1.3 | 5.0 | 7.0 | - | - | - | 26.7 | 38.5 | 77.8 | 0.21 | 41.2 | 35.0 |
T. Wallack
|
G | 9 | 22.0 | 4.7 | 2.6 | 0.3 | 0.1 | 0.7 | 0.8 | 5.1 | 2.4 | 11 | 0.6 | 3.3 | 32.6 | 33.3 | 100.0 | 0.72 | 43.2 | 39.1 |
J. Clarke
|
C | 7 | 9.7 | 2.0 | 1.7 | 0.4 | 0.1 | 0.6 | 1.0 | 3.6 | 0.3 | -42 | -2.3 | -12.2 | 24.0 | 0.0 | 50.0 | 0.45 | 26.2 | 24.0 |
M. Jones
|
G | 7 | 8.3 | 1.9 | 1.4 | 0.0 | 0.1 | 0.0 | 0.0 | 2.0 | 1.4 | -24 | -3.0 | -23.3 | 28.6 | 40.0 | 50.0 | 0.01 | 43.7 | 42.9 |
G. Sarver
|
G | 9 | 11.6 | 1.4 | 1.6 | 0.2 | 0.1 | 0.0 | 1.0 | 1.0 | 1.3 | - | - | - | 44.4 | 33.3 | 50.0 | 0.95 | 51.9 | 50.0 |
S. Levy
|
F | 3 | 4.3 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.7 | - | - | - | 100.0 | 100.0 | 0 | 0.61 | 150.0 | 150.0 |
E. Nankervis
|
C | 5 | 7.0 | 1.0 | 0.8 | 0.4 | 0.2 | 0.0 | 0.6 | 1.8 | 0.0 | - | - | - | 22.2 | 0 | 25.0 | 0.62 | 23.2 | 22.2 |
E. Celikdemir
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
K. Woods
|
G | 4 | 1.2 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | -162 | -8.5 | -35.0 | 0.0 | 0.0 | 0 | 0.24 | 0.0 | 0.0 |
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