Washington State
2024 Team Stats (34 games)
74.1
PPG
66.7
Opp
+6.8
Margin
46.4%
FG%
34.3%
3P%
70.3%
FT%
37.8
RPG
12.5
APG
10.9
TO
77.8
Pace
Model Outputs
2023-2024
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 → | 1249 (#68) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1333 (#46) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +32.3 (#74) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.680 (#20) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.769 (#34) | NetEff +10.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.741 (#26) | AdjNet +9.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.743 (#26) | AdjNet +9.2 |
2024 Schedule & Results
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
I. Jones
|
- | 35 | 31.8 | 15.3 | 7.6 | 1.5 | 0.5 | 1.1 | 1.9 | 9.9 | 14.2 | -4 | -1.3 | -64.9 | 57.5 | 7.1 | 71.2 | -0.1 | 62.2 | 57.7 |
M. Rice
|
- | 35 | 33.2 | 14.8 | 3.1 | 3.8 | 1.6 | 0.2 | 2.6 | 12.4 | 8.6 | 1 | 0.1 | 0.1 | 43.9 | 27.5 | 81.1 | -0.01 | 53.1 | 48.0 |
J. Wells
|
- | 34 | 29.2 | 12.6 | 4.6 | 1.2 | 0.5 | 0.2 | 0.7 | 9.4 | 9.0 | -20 | -2.0 | -2.5 | 43.6 | 41.7 | 81.4 | -0.17 | 59.0 | 54.5 |
A. Jakimovski
|
F | 35 | 33.7 | 9.7 | 5.6 | 1.3 | 0.6 | 0.4 | 1.0 | 9.2 | 7.5 | 25 | 2.5 | 3.2 | 36.1 | 33.2 | 60.0 | 0.38 | 48.5 | 46.6 |
O. Cluff
|
C | 35 | 20.3 | 7.0 | 4.4 | 1.2 | 0.5 | 0.9 | 1.3 | 5.6 | 7.0 | -27 | -2.7 | -8.5 | 53.8 | 100.0 | 66.0 | -0.61 | 56.0 | 54.1 |
J. Yesufu
|
G | 6 | 25.2 | 6.2 | 2.0 | 1.8 | 1.0 | 0.0 | 1.0 | 6.3 | 3.7 | - | - | - | 36.8 | 34.8 | 50.0 | - | 47.6 | 47.4 |
R. Chinyelu
|
C | 35 | 13.9 | 4.7 | 5.0 | 0.1 | 0.2 | 1.3 | 1.1 | 3.3 | 7.0 | -2 | -0.1 | -0.6 | 61.7 | 0 | 48.9 | -0.13 | 60.8 | 61.7 |
K. Houinsou
|
- | 35 | 20.1 | 4.3 | 3.4 | 2.1 | 0.4 | 0.7 | 1.2 | 3.7 | 5.9 | -42 | -4.2 | -10.7 | 43.5 | 31.2 | 60.0 | -0.62 | 48.7 | 45.4 |
Isaiah Watts
|
G | 31 | 10.1 | 3.7 | 0.9 | 0.5 | 0.5 | 0.2 | 0.3 | 3.0 | 2.5 | 41 | 4.1 | 14.9 | 43.5 | 37.7 | 61.5 | 0.65 | 58.3 | 57.6 |
J. Mullins
|
- | 24 | 9.1 | 1.6 | 0.8 | 0.5 | 0.5 | 0.1 | 0.1 | 2.1 | 1.2 | 69 | 3.8 | 60.2 | 27.5 | 26.5 | 100.0 | 0.16 | 37.6 | 36.3 |
Aj Rohosy
|
F | 10 | 1.1 | 0.4 | 0.4 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.8 | 62 | 4.8 | 3460.5 | 66.7 | 0 | 0 | -0.01 | 66.7 | 66.7 |
B. Olesen
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1 | -1.0 | -55.8 | 0 | 0 | 0 | -0.01 | 0 | 0 |
D. Darling
|
G | 3 | 3.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | 0.0 | - | - | - | 0 | 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