Washington State Cougars
2025 Team Stats (1 games)
57.0
PPG
72.0
Opp
-15.0
Margin
35.1%
FG%
22.7%
3P%
92.3%
FT%
31.0
RPG
12.0
APG
13.0
TO
75.7
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
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 → | 937 (#486) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +7.7 (#229) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.424 (#415) | AdjO 63.6 | AdjD 67.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.621 (#234) | 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 → | 0.576 (#240) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 932 (#282) | RD 147 | GP 31 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-12-13 | vs | BYU Cougars | L | 57 - 72 |
2025 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. Wallack
|
G | 1 | 34.0 | 16.0 | 8.0 | 3.0 | 0.0 | 0.0 | 1.0 | 13.0 | 13.0 | -13 | -0.4 | -0.4 | 53.8 | 33.3 | 0 | 0.76 | 61.5 | 61.5 |
A. Tuhina
|
G | 1 | 28.0 | 8.0 | 3.0 | 4.0 | 0.0 | 1.0 | 3.0 | 8.0 | 5.0 | 8 | 0.2 | 0.3 | 37.5 | 25.0 | 50.0 | 0.97 | 45.0 | 43.8 |
A. Covill
|
C | 1 | 21.0 | 8.0 | 8.0 | 0.0 | 0.0 | 3.0 | 3.0 | 5.0 | 11.0 | 2 | 0.1 | 0.1 | 40.0 | 0.0 | 100.0 | 0.51 | 59.2 | 40.0 |
E. Villa
|
G | 1 | 32.0 | 7.0 | 4.0 | 3.0 | 1.0 | 0.0 | 0.0 | 12.0 | 3.0 | -8 | -0.2 | -0.3 | 8.3 | 0.0 | 100.0 | 0.45 | 24.6 | 8.3 |
C. Abraham
|
G | 1 | 20.0 | 7.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 5.0 | 4.0 | -12 | -0.4 | -0.8 | 40.0 | 33.3 | 100.0 | 0.14 | 59.5 | 50.0 |
C. Kpetikou
|
C | 1 | 16.0 | 6.0 | 1.0 | 0.0 | 2.0 | 1.0 | 2.0 | 4.0 | 4.0 | -13 | -0.4 | -1.2 | 75.0 | 0 | 0 | -0.02 | 75.0 | 75.0 |
J. Chiu
|
G | 1 | 15.0 | 3.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 4.0 | 1.0 | -9 | -0.3 | -1.7 | 25.0 | 50.0 | 0 | -0.23 | 37.5 | 37.5 |
M. Alsina
|
G | 1 | 10.0 | 2.0 | 1.0 | 0.0 | 1.0 | 0.0 | 2.0 | 1.0 | 1.0 | -11 | -0.3 | -0.9 | 100.0 | 0 | 0 | 0.18 | 100.0 | 100.0 |
K. Gardner
|
G | 1 | 7.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 10 | 0.3 | 1.1 | 0.0 | 0 | 0 | 0.18 | 0.0 | 0.0 |
J. Villa
|
G | 1 | 12.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 3.0 | -3.0 | -7 | -0.2 | -0.4 | 0.0 | 0.0 | 0 | 0.47 | 0.0 | 0.0 |
A. Dart
|
G | 1 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | -5 | -0.2 | -1.7 | 0.0 | 0.0 | 0 | -0.5 | 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