Washington
2023 Team Stats (21 games)
67.6
PPG
74.8
Opp
-6.0
Margin
42.5%
FG%
30.3%
3P%
74.2%
FT%
33.8
RPG
11.4
APG
14.9
TO
79.3
Pace
Model Outputs
2022-2023
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 → | 1276 (#75) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1293 (#87) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.5 (#75) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.168 (#107) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.245 (#309) | NetEff -9.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.291 (#89) | AdjNet -7.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.291 (#89) | AdjNet -7.7 |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-11 | vs | North Florida Ospreys | W | 75 - 67 |
| 2022-11-24 | @ | Saint Mary's Gaels | W | 68 - 64 |
| 2022-12-01 | @ | Oregon State Beavers | L | 65 - 66 |
| 2022-12-09 | @ | Gonzaga Bulldogs | L | 60 - 77 |
| 2022-12-21 | vs | Auburn Tigers | L | 61 - 84 |
| 2023-01-01 | vs | UCLA Bruins | L | 49 - 74 |
| 2023-01-05 | @ | Arizona Wildcats | L | 67 - 70 |
| 2023-01-08 | @ | Arizona State Sun Devils | L | 65 - 73 |
| 2023-01-12 | vs | Stanford Cardinal | W | 86 - 69 |
| 2023-01-14 | vs | California Golden Bears | W | 81 - 78 |
| 2023-01-19 | @ | Colorado Buffaloes | W | 75 - 72 |
| 2023-01-21 | @ | Utah Utes | L | 61 - 86 |
| 2023-01-26 | vs | Arizona State Sun Devils | W | 69 - 66 |
| 2023-01-28 | vs | Arizona Wildcats | L | 72 - 95 |
| 2023-02-02 | @ | UCLA Bruins | L | 61 - 70 |
| 2023-02-04 | @ | USC Trojans | L | 74 - 80 |
| 2023-02-23 | @ | California Golden Bears | W | 65 - 56 |
| 2023-02-26 | @ | Stanford Cardinal | L | 69 - 81 |
| 2023-03-02 | vs | Washington State Cougars | L | 84 - 93 |
| 2023-03-08 | vs | Colorado Buffaloes | L | 68 - 74 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brooks Jr., Keion
|
- | 19 | 36.3 | 18.8 | 6.9 | 1.4 | 0.7 | 1.3 | 3.7 | 13.9 | 11.5 | - | - | - | 45.7 | 29.7 | 81.8 | - | 58.8 | 49.8 |
F. Kepnang
|
- | 3 | 22.3 | 11.3 | 6.3 | 0.3 | 0.3 | 2.0 | 1.3 | 2.7 | 16.3 | -17 | -1.5 | -2.7 | 50.0 | 0 | 100.0 | 0.48 | 191.4 | 50.0 |
Noah Williams
|
G | 10 | 25.8 | 10.1 | 3.2 | 2.4 | 0.8 | 0.2 | 2.3 | 9.2 | 5.2 | - | - | - | 40.2 | 34.4 | 61.5 | - | 48.8 | 46.2 |
K. Menifield Jr.
|
- | 20 | 29.2 | 9.6 | 3.0 | 3.2 | 1.2 | 0.1 | 1.6 | 8.0 | 7.5 | 71 | 6.5 | 8.1 | 39.6 | 28.6 | 62.9 | 1.43 | 54.8 | 44.7 |
C. Bajema
|
- | 19 | 31.4 | 8.6 | 4.5 | 0.6 | 1.1 | 0.3 | 1.1 | 6.2 | 7.8 | - | - | - | 37.6 | 36.2 | 81.8 | - | 62.0 | 50.0 |
Braxton Meah
|
C | 19 | 28.7 | 7.8 | 7.1 | 0.5 | 0.6 | 1.5 | 1.4 | 4.3 | 11.8 | - | - | - | 70.4 | 0 | 61.9 | - | 74.4 | 70.4 |
K. Johnson
|
- | 18 | 21.5 | 7.7 | 1.2 | 1.8 | 1.1 | 0.3 | 1.9 | 6.3 | 3.8 | 43 | 4.8 | 22.7 | 38.6 | 30.4 | 68.8 | 0.62 | 53.9 | 46.1 |
J. Bey
|
- | 19 | 26.0 | 6.9 | 3.9 | 1.4 | 0.9 | 0.3 | 1.4 | 5.2 | 6.9 | - | - | - | 36.7 | 30.4 | 75.0 | - | 58.0 | 45.4 |
Pj Fuller Ii
|
- | 15 | 21.0 | 6.1 | 1.9 | 2.3 | 1.0 | 0.5 | 2.5 | 4.3 | 4.9 | - | - | - | 41.5 | 29.0 | 88.9 | - | 62.4 | 48.5 |
Langston Wilson
|
- | 14 | 6.0 | 1.3 | 1.9 | 0.1 | 0.1 | 0.3 | 0.3 | 1.1 | 2.2 | 21 | 1.6 | 2.2 | 50.0 | 0.0 | 0 | 1.01 | 56.2 | 50.0 |
Jackson Grant
|
- | 8 | 5.1 | 0.2 | 1.2 | 0.0 | 0.0 | 0.2 | 0.2 | 1.1 | 0.4 | - | - | - | 11.1 | 0.0 | 0 | - | 11.1 | 11.1 |
S. Ariyibi
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 39 | 3.5 | 15.8 | - | - | - | 0.95 | - | - |
T. Linhardt
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
K. Luttinen
|
- | 5 | 2.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | -0.4 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
A. Iglesia
|
- | 3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Sam Slutske
|
- | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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