Washington Huskies
2026 Team Stats (32 games)
70.8
PPG
62.6
Opp
+8.2
Margin
44.2%
FG%
34.0%
3P%
73.8%
FT%
38.7
RPG
14.1
APG
14.9
TO
81.3
Pace
74.9
AdjO
50.6
AdjD
#29
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 → | 1176 (#73) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1319 (#22) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1088 (#80) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +25.1 (#28) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +37.6 (#21) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.840 (#53) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.912 (#37) | NetEff +18.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.987 (#26) | AdjNet +36.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.988 (#26) | AdjNet +38.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.901 (#29) | AdjO 74.9 | AdjD 50.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.801 (#27) | AdjO 71.0 | AdjD 55.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.965 (#23) | 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 → | 0.953 (#22) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1269 (#36) | RD 112 | GP 32 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Sellers
|
G | 32 | 32.4 | 17.9 | 2.9 | 3.9 | 1.5 | 0.8 | 3.3 | 14.1 | 9.6 | 104 | 4.5 | 5.9 | 46.7 | 35.6 | 82.5 | 0.63 | 58.2 | 54.8 |
A. Howell
|
G | 32 | 34.8 | 14.1 | 8.4 | 1.5 | 1.4 | 0.4 | 1.3 | 9.8 | 14.7 | 110 | 4.8 | 6.5 | 50.0 | 42.0 | 76.0 | 1.49 | 65.2 | 63.0 |
E. Ladine
|
G | 27 | 27.9 | 9.9 | 5.0 | 2.1 | 0.4 | 0.4 | 1.8 | 9.6 | 6.3 | 63 | 3.7 | 6.1 | 39.6 | 31.5 | 78.8 | -0.14 | 48.6 | 46.3 |
B. McGaughy
|
F | 32 | 21.4 | 9.5 | 4.3 | 1.2 | 0.4 | 1.0 | 1.6 | 8.3 | 6.5 | 80 | 3.6 | 8.4 | 48.1 | 18.5 | 70.0 | 2.42 | 51.8 | 49.1 |
H. Stines
|
G | 32 | 28.4 | 6.8 | 4.3 | 2.3 | 1.1 | 0.4 | 1.4 | 7.5 | 6.1 | 118 | 5.1 | 8.4 | 37.2 | 27.3 | 65.4 | 1.27 | 43.1 | 41.6 |
Y. Grabovskaia
|
C | 32 | 14.6 | 4.3 | 4.6 | 1.3 | 0.6 | 0.4 | 1.4 | 4.0 | 5.8 | 55 | 2.4 | 5.7 | 46.9 | 0 | 67.9 | 2.54 | 49.5 | 46.9 |
D. Coppinger
|
G | 32 | 17.9 | 3.9 | 2.1 | 0.6 | 0.6 | 0.1 | 0.9 | 3.3 | 3.1 | 108 | 4.9 | 11.1 | 43.4 | 28.3 | 65.5 | 1.97 | 52.2 | 49.5 |
S. Harvey
|
G | 25 | 10.3 | 3.3 | 1.7 | 0.7 | 0.1 | 0.0 | 1.4 | 3.1 | 1.3 | 66 | 3.1 | 9.4 | 41.0 | 33.3 | 73.7 | 0.56 | 48.1 | 44.2 |
C. Briggs
|
G | 25 | 11.7 | 1.9 | 1.7 | 0.9 | 0.2 | 0.0 | 0.6 | 1.6 | 2.4 | 67 | 3.5 | 11.1 | 30.0 | 26.3 | 72.0 | 0.68 | 46.1 | 36.2 |
T. Brown
|
G | 27 | 12.0 | 1.4 | 1.4 | 0.3 | 0.7 | 0.1 | 0.5 | 1.6 | 1.8 | 96 | 4.8 | 10.8 | 36.4 | 12.5 | 55.6 | 2.92 | 39.6 | 37.5 |
O. Anderson
|
F | 9 | 3.7 | 1.3 | 0.9 | 0.1 | 0.2 | 0.7 | 0.6 | 1.4 | 1.2 | 23 | 2.6 | 16.4 | 38.5 | 25.0 | 25.0 | -0.31 | 40.7 | 42.3 |
N. Cain
|
F | 8 | 4.1 | 0.8 | 0.2 | 0.0 | 0.1 | 0.0 | 0.5 | 0.4 | 0.2 | 34 | 3.8 | 36.7 | 66.7 | 0 | 100.0 | 2.11 | 77.3 | 66.7 |
S. Gillmer
|
F | 11 | 4.3 | 0.5 | 1.0 | 0.1 | 0.3 | 0.2 | 0.2 | 0.6 | 1.3 | 42 | 4.2 | 33.1 | 28.6 | 0.0 | 100.0 | 2.81 | 38.1 | 28.6 |
Daniella McLean
|
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