Washington Mystics
2023 Team Stats (36 games)
81.2
PPG
82.2
Opp
-1.0
Margin
43.3%
FG%
34.0%
3P%
81.0%
FT%
32.2
RPG
19.5
APG
12.1
TO
88.0
Pace
Model Outputs
2023
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 896 (#13) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +4.8 (#11) | HCA +2.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.338 (#12) | - |
2023 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brittney Sykes
|
G | 36 | 32.0 | 17.1 | 5.1 | 3.9 | 2.1 | 0.4 | 2.5 | 13.9 | 12.2 | - | - | - | 45.4 | 34.2 | 76.6 | 1.35 | 54.6 | 50.5 |
E. Delle Donne
|
F | 19 | 26.6 | 15.1 | 4.8 | 2.1 | 0.8 | 0.8 | 0.9 | 12.3 | 10.4 | - | - | - | 45.9 | 28.6 | 95.1 | -1.27 | 55.0 | 48.9 |
Natasha Cloud
|
G | 33 | 32.7 | 13.5 | 4.1 | 6.3 | 1.1 | 0.2 | 2.5 | 11.1 | 11.6 | - | - | - | 38.7 | 33.3 | 91.3 | -0.69 | 52.7 | 45.0 |
Ariel Atkins
|
G | 23 | 24.9 | 11.7 | 3.2 | 2.2 | 1.1 | 0.5 | 1.3 | 9.7 | 7.7 | - | - | - | 41.5 | 34.3 | 87.0 | -1.06 | 54.3 | 49.6 |
T. Hawkins
|
F | 36 | 24.4 | 8.6 | 5.2 | 1.5 | 0.9 | 0.4 | 1.3 | 6.8 | 8.4 | - | - | - | 49.6 | 36.2 | 72.9 | 0.57 | 57.7 | 55.5 |
S. Austin
|
F | 13 | 20.7 | 8.3 | 6.1 | 0.8 | 0.8 | 0.9 | 1.7 | 7.3 | 7.8 | - | - | - | 47.4 | 0 | 51.4 | - | 48.9 | 47.4 |
Shatori Walker-Kimbrough
|
G | 36 | 25.4 | 6.8 | 2.1 | 1.7 | 0.8 | 0.4 | 0.8 | 5.3 | 5.7 | - | - | - | 44.5 | 42.5 | 91.3 | -0.9 | 57.5 | 52.6 |
Myisha Hines-Allen
|
F | 36 | 18.5 | 6.2 | 4.6 | 2.2 | 0.6 | 0.2 | 1.5 | 6.4 | 5.9 | - | - | - | 37.1 | 28.4 | 68.8 | 0.38 | 44.2 | 41.2 |
L. Meng
|
G | 31 | 17.0 | 5.9 | 1.1 | 1.1 | 0.4 | 0.0 | 0.9 | 5.2 | 2.4 | - | - | - | 37.0 | 35.0 | 83.3 | - | 52.7 | 50.0 |
Queen Egbo
|
C | 23 | 14.8 | 5.7 | 4.1 | 0.4 | 0.6 | 0.7 | 1.0 | 4.6 | 5.8 | - | - | - | 53.3 | 0 | 63.3 | 0.41 | 55.4 | 53.3 |
C. Goree
|
F | 10 | 11.7 | 3.9 | 1.2 | 0.1 | 0.3 | 0.1 | 0.4 | 3.2 | 2.0 | - | - | - | 46.9 | 21.4 | 85.7 | - | 55.6 | 51.6 |
K. Toliver
|
G | 6 | 7.2 | 3.3 | 0.8 | 0.8 | 0.2 | 0.0 | 0.5 | 2.5 | 2.2 | - | - | - | 46.7 | 50.0 | 0 | 0.61 | 66.7 | 66.7 |
Amanda Zahui B
|
C | 7 | 9.1 | 2.6 | 1.9 | 0.1 | 0.3 | 1.0 | 0.6 | 1.9 | 3.4 | - | - | - | 30.8 | 14.3 | 90.0 | - | 51.7 | 34.6 |
Linnae Harper
|
G | 14 | 5.2 | 1.4 | 0.6 | 0.3 | 0.1 | 0.0 | 0.3 | 1.9 | 0.4 | - | - | - | 30.8 | 36.4 | 0 | - | 38.5 | 38.5 |
A. Meyers
|
- | 9 | 3.9 | 1.4 | 0.4 | 0.0 | 0.1 | 0.2 | 0.1 | 1.4 | 0.7 | - | - | - | 38.5 | 0.0 | 100.0 | - | 45.4 | 38.5 |
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