Washington State
2026 Team Stats (31 games)
76.5
PPG
77.5
Opp
-1.0
Margin
46.9%
FG%
37.1%
3P%
74.1%
FT%
34.3
RPG
14.0
APG
13.0
TO
78.3
Pace
78.3
AdjO
75.3
AdjD
#130
Rank
Model Outputs
2025-2026
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 → | 831 (#311) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 938 (#227) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 900 (#669) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +2.4 (#134) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +13.1 (#180) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.440 (#216) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.380 (#201) | NetEff -5.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.600 (#134) | AdjNet +3.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.603 (#134) | AdjNet +3.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.568 (#130) | AdjO 78.3 | AdjD 75.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.493 (#270) | AdjO 75.1 | AdjD 75.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.720 (#208) | 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 → | 0.664 (#217) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 991 (#247) | RD 153 | GP 31 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Glass
|
- | 31 | 29.0 | 16.6 | 3.0 | 2.4 | 0.8 | 0.1 | 2.4 | 12.5 | 8.1 | -10 | -10.0 | -17.3 | 46.4 | 36.9 | 88.0 | -0.06 | 59.9 | 55.3 |
R. Vavers
|
- | 28 | 25.2 | 11.5 | 4.1 | 0.5 | 0.7 | 0.3 | 0.8 | 8.2 | 8.0 | -6 | -0.3 | -0.5 | 46.3 | 41.3 | 88.4 | 0.05 | 64.7 | 61.8 |
ND Okafor
|
F | 31 | 23.1 | 11.2 | 5.6 | 0.9 | 0.5 | 1.3 | 2.1 | 8.0 | 9.4 | 49 | 2.0 | 3.9 | 58.6 | 0 | 64.0 | 0.69 | 60.5 | 58.6 |
E. Yalaho
|
- | 31 | 28.3 | 10.1 | 5.6 | 1.6 | 0.5 | 0.3 | 1.7 | 7.4 | 9.1 | -5 | -0.2 | -0.3 | 47.4 | 40.0 | 78.3 | -0.09 | 61.5 | 58.3 |
Tomas Thrastarson
|
G | 18 | 22.6 | 8.2 | 4.1 | 1.1 | 0.4 | 0.3 | 1.7 | 6.3 | 6.2 | -26 | -1.9 | -3.2 | 41.6 | 28.0 | 75.5 | -0.25 | 54.3 | 47.8 |
J. Morton
|
- | 31 | 25.0 | 8.0 | 1.9 | 2.6 | 0.8 | 0.2 | 1.2 | 6.1 | 6.3 | -26 | -1.1 | -2.0 | 44.4 | 39.2 | 83.1 | -0.53 | 57.7 | 52.6 |
E. Ugbo
|
- | 21 | 18.2 | 7.0 | 3.7 | 0.8 | 0.2 | 0.1 | 0.9 | 5.4 | 5.6 | -75 | -3.4 | -8.3 | 45.6 | 29.3 | 71.1 | -0.61 | 55.3 | 50.9 |
S. Hildebrandt
|
- | 31 | 14.7 | 4.7 | 1.9 | 0.5 | 0.4 | 0.1 | 0.7 | 3.5 | 3.5 | -1 | -0.0 | -0.1 | 43.0 | 37.5 | 71.9 | -0.07 | 59.9 | 57.0 |
Kase Wynott
|
G | 5 | 9.4 | 4.0 | 0.4 | 0.2 | 0.4 | 0.0 | 0.4 | 3.2 | 1.4 | -16 | -3.2 | -15.8 | 50.0 | 40.0 | 0 | -0.48 | 62.5 | 62.5 |
Adria Rodriguez
|
- | 31 | 20.7 | 3.5 | 3.5 | 3.4 | 1.1 | 0.2 | 1.7 | 3.3 | 6.6 | -5 | -0.2 | -0.5 | 40.8 | 7.1 | 42.4 | -0.14 | 42.6 | 41.3 |
Parker Gerrits
|
G | 30 | 9.5 | 1.7 | 1.3 | 0.9 | 0.6 | 0.0 | 0.4 | 1.6 | 2.4 | -7 | -0.3 | -1.3 | 38.8 | 36.8 | 0 | -0.13 | 53.1 | 53.1 |
D. Blakely
|
- | 5 | 1.0 | 0.8 | 0.2 | 0.0 | 0.2 | 0.2 | 0.2 | 0.4 | 0.8 | - | - | - | 0.0 | 0.0 | 100.0 | - | 53.2 | 0.0 |
Brunel Madzou
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Dominik Robinson
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -11 | -1.6 | -35.1 | - | - | - | 0.2 | - | - |
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