Washington
2026 Team Stats (33 games)
77.1
PPG
73.6
Opp
+3.5
Margin
45.8%
FG%
31.5%
3P%
76.4%
FT%
37.2
RPG
13.9
APG
10.5
TO
80.1
Pace
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 → | 1015 (#168) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1083 (#102) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 972 (#222) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +13.0 (#49) | - |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.6 (#58) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.656 (#93) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | Unavailable | ValueError: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.740 (#50) | - |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.596 (#76) | - |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1073 (#113) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Hannes Steinbach
|
- | 30 | 34.5 | 18.5 | 11.8 | 1.6 | 1.1 | 1.2 | 2.0 | 12.1 | 20.1 | 101 | 5.3 | 6.7 | 57.7 | 34.0 | 75.9 | 1.1 | 64.4 | 60.2 |
Zoom Diallo
|
- | 33 | 29.6 | 15.7 | 3.9 | 4.5 | 0.7 | 0.0 | 2.5 | 12.2 | 10.1 | 77 | 3.5 | 5.3 | 48.9 | 31.5 | 82.5 | 0.91 | 56.9 | 51.7 |
D. Claude
|
- | 12 | 27.6 | 13.3 | 2.4 | 1.9 | 0.4 | 0.1 | 1.8 | 10.8 | 5.7 | 49 | 4.1 | 6.4 | 42.6 | 30.0 | 87.2 | 0.33 | 53.4 | 46.1 |
W. Yates III
|
- | 27 | 31.4 | 12.7 | 3.3 | 1.3 | 1.5 | 0.3 | 1.6 | 11.5 | 6.0 | 52 | 3.2 | 4.6 | 37.1 | 31.2 | 78.2 | 0.42 | 50.0 | 45.6 |
Q. Peterson
|
G | 33 | 30.9 | 9.2 | 2.8 | 2.2 | 1.3 | 0.2 | 0.9 | 8.0 | 6.8 | 69 | 2.9 | 4.5 | 38.9 | 35.0 | 78.1 | 0.97 | 54.1 | 52.3 |
F. Kepnang
|
- | 27 | 22.9 | 6.2 | 6.3 | 0.2 | 0.6 | 2.1 | 1.0 | 4.9 | 9.5 | 76 | 3.5 | 6.3 | 51.5 | 0.0 | 68.9 | 0.92 | 55.0 | 51.5 |
B. Tucker
|
- | 21 | 22.0 | 5.7 | 3.9 | 0.5 | 0.3 | 0.1 | 0.4 | 5.6 | 4.6 | 24 | 1.4 | 2.9 | 43.6 | 26.1 | 54.5 | 0.14 | 49.2 | 48.7 |
Jj Mandaquit
|
- | 22 | 19.7 | 5.2 | 2.1 | 3.2 | 0.5 | 0.1 | 1.2 | 4.3 | 5.6 | 47 | 2.1 | 4.8 | 43.6 | 28.2 | 70.0 | 0.38 | 53.2 | 49.5 |
L. Sommerville
|
- | 22 | 14.5 | 4.3 | 2.6 | 0.2 | 0.1 | 0.4 | 0.7 | 3.3 | 3.6 | 17 | 1.4 | 4.4 | 43.8 | 20.0 | 73.2 | 0.17 | 52.2 | 44.5 |
Courtland Muldrew
|
- | 20 | 12.7 | 3.2 | 1.9 | 1.4 | 0.2 | 0.1 | 0.4 | 3.0 | 3.6 | -11 | -1.1 | -6.5 | 42.4 | 21.1 | 55.0 | -0.05 | 47.9 | 45.8 |
J. Ognacevic
|
- | 12 | 12.7 | 3.1 | 1.2 | 0.2 | 0.2 | 0.0 | 0.6 | 2.2 | 1.9 | -14 | -1.4 | -5.6 | 48.1 | 44.4 | 60.0 | -0.14 | 63.4 | 63.0 |
Jasir Rencher
|
- | 8 | 8.0 | 3.0 | 1.8 | 0.1 | 0.0 | 0.2 | 0.1 | 1.5 | 3.5 | 11 | 1.4 | 8.7 | 50.0 | 20.0 | 84.6 | -0.05 | 67.7 | 54.2 |
Nikola Dzepina
|
F | 14 | 11.0 | 2.6 | 1.3 | 0.7 | 0.0 | 0.9 | 0.1 | 3.1 | 2.3 | -9 | -1.3 | -7.5 | 30.2 | 25.0 | 50.0 | -0.24 | 41.3 | 40.7 |
BJ Roy
|
G | 5 | 1.6 | 1.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.2 | -15 | -5.0 | -8.9 | 40.0 | 25.0 | 0 | -0.27 | 50.0 | 50.0 |
M. Traore
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
C. Nitu
|
F | 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