Washington
2024 Team Stats (32 games)
80.6
PPG
77.1
Opp
+3.5
Margin
47.0%
FG%
35.4%
3P%
72.2%
FT%
36.0
RPG
15.1
APG
11.7
TO
82.3
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 → | 1229 (#78) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1270 (#81) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.4 (#59) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.569 (#45) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.624 (#118) | NetEff +4.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.624 (#49) | AdjNet +4.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.624 (#49) | AdjNet +4.4 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brooks Jr., Keion
|
- | 32 | 35.1 | 21.1 | 6.8 | 1.4 | 0.7 | 0.8 | 1.9 | 14.6 | 14.2 | - | - | - | 48.7 | 38.0 | 79.4 | - | 60.2 | 54.3 |
S. Wheeler
|
- | 31 | 33.8 | 14.3 | 3.5 | 6.1 | 1.3 | 0.2 | 3.3 | 12.9 | 9.1 | -11 | -1.6 | -2.8 | 43.6 | 26.7 | 64.5 | 0.06 | 49.4 | 46.6 |
M. Wood
|
- | 32 | 32.6 | 11.9 | 4.5 | 0.8 | 0.6 | 0.6 | 0.9 | 9.1 | 8.2 | -22 | -3.1 | -6.0 | 42.1 | 39.6 | 87.1 | -0.34 | 59.5 | 55.8 |
K. Johnson
|
- | 31 | 24.2 | 11.1 | 2.2 | 2.7 | 1.2 | 0.3 | 1.4 | 9.0 | 7.1 | -39 | -4.9 | -8.0 | 44.1 | 37.3 | 72.2 | -0.37 | 54.8 | 51.4 |
F. Kepnang
|
- | 10 | 18.9 | 8.3 | 5.9 | 0.2 | 0.4 | 1.7 | 0.8 | 6.1 | 9.6 | - | - | - | 59.0 | 0.0 | 61.1 | - | 60.2 | 59.0 |
P. Mulcahy
|
- | 31 | 24.5 | 5.5 | 3.0 | 3.4 | 0.8 | 0.2 | 1.7 | 4.5 | 6.7 | -9 | -1.3 | -3.0 | 44.3 | 31.2 | 76.7 | -0.19 | 54.1 | 49.6 |
W. Breidenbach
|
- | 32 | 15.5 | 5.2 | 3.4 | 0.2 | 0.3 | 0.2 | 0.7 | 3.6 | 5.2 | -36 | -2.2 | -23.7 | 56.5 | 33.3 | 70.3 | -0.06 | 64.0 | 61.7 |
Braxton Meah
|
C | 32 | 16.9 | 5.2 | 5.3 | 0.3 | 0.2 | 0.8 | 1.1 | 2.7 | 8.2 | -34 | -4.9 | -11.8 | 77.0 | 0 | 49.3 | -0.26 | 71.6 | 77.0 |
N. Calmese
|
G | 16 | 10.9 | 4.1 | 0.6 | 0.8 | 0.5 | 0.0 | 0.4 | 3.9 | 1.6 | 1 | 0.5 | 1.7 | 41.3 | 26.5 | 62.5 | 0.04 | 49.6 | 48.4 |
A. Holland
|
- | 31 | 12.3 | 2.6 | 1.5 | 0.2 | 0.4 | 0.1 | 0.1 | 2.3 | 2.3 | -11 | -1.6 | -7.3 | 36.1 | 36.8 | 100.0 | -0.2 | 54.9 | 53.5 |
N. Kabeya
|
- | 5 | 1.4 | 0.0 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
S. Ariyibi
|
F | 2 | 3.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Sam Slutske
|
- | 4 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | -0.5 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
W. Landram
|
- | 5 | 1.0 | 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