Dallas Wings
2022 Team Stats (32 games)
82.1
PPG
83.7
Opp
-1.6
Margin
43.8%
FG%
33.5%
3P%
74.7%
FT%
33.4
RPG
18.9
APG
12.8
TO
89.6
Pace
Model Outputs
2022
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 → | 827 (#15) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +2.0 (#14) | HCA +2.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.261 (#15) | - |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Ogunbowale
|
G | 24 | 30.5 | 19.0 | 3.4 | 3.4 | 1.7 | 0.1 | 1.6 | 16.2 | 9.8 | - | - | - | 40.7 | 34.6 | 78.6 | 1.31 | 52.9 | 48.8 |
Allisha Gray
|
G | 29 | 33.1 | 13.1 | 4.6 | 2.9 | 1.2 | 0.4 | 1.3 | 10.5 | 10.3 | - | - | - | 43.0 | 38.3 | 74.4 | -0.1 | 55.4 | 51.8 |
Marina Mabrey
|
G | 30 | 29.3 | 13.1 | 3.6 | 3.5 | 0.8 | 0.5 | 2.5 | 12.9 | 6.1 | - | - | - | 39.4 | 32.4 | 71.4 | 0.68 | 47.7 | 45.6 |
T. McCowan
|
C | 30 | 21.8 | 12.4 | 8.2 | 0.9 | 0.4 | 0.9 | 2.0 | 8.0 | 12.8 | - | - | - | 58.9 | 0 | 59.2 | -0.32 | 60.7 | 58.9 |
Satou Sabally
|
F | 12 | 20.9 | 10.5 | 4.1 | 2.6 | 0.4 | 0.2 | 2.0 | 8.8 | 7.1 | - | - | - | 40.0 | 27.7 | 90.6 | -0.24 | 52.9 | 46.2 |
Kayla Thornton
|
F | 32 | 28.6 | 7.9 | 5.3 | 1.8 | 1.0 | 0.6 | 1.3 | 5.7 | 9.5 | - | - | - | 48.4 | 33.8 | 83.1 | 1.28 | 59.8 | 54.4 |
Isabelle Harrison
|
F | 31 | 15.9 | 7.9 | 3.6 | 1.0 | 0.6 | 0.0 | 1.3 | 6.4 | 5.6 | - | - | - | 49.2 | 100.0 | 86.2 | -0.93 | 55.3 | 49.7 |
T. Harris
|
G | 32 | 15.9 | 5.1 | 1.0 | 2.8 | 0.3 | 0.1 | 1.1 | 5.0 | 3.2 | - | - | - | 40.6 | 30.9 | 81.0 | -0.14 | 48.5 | 45.9 |
Veronica Burton
|
G | 32 | 16.9 | 3.4 | 1.5 | 2.2 | 1.1 | 0.3 | 1.0 | 2.5 | 5.0 | - | - | - | 38.3 | 31.9 | 97.0 | - | 57.1 | 47.5 |
A. Kuier
|
F | 29 | 12.3 | 2.8 | 2.6 | 0.9 | 0.4 | 0.8 | 0.6 | 2.7 | 4.2 | - | - | - | 39.0 | 20.0 | 59.3 | 0.26 | 45.0 | 41.6 |
Charli Collier
|
F | 12 | 4.7 | 2.2 | 0.6 | 0.2 | 0.1 | 0.0 | 0.8 | 1.5 | 0.8 | - | - | - | 50.0 | 0.0 | 75.0 | - | 58.0 | 50.0 |
J. Dickey
|
G | 17 | 5.1 | 1.2 | 0.6 | 0.1 | 0.2 | 0.1 | 0.2 | 1.9 | -0.1 | - | - | - | 21.2 | 25.0 | 66.7 | - | 28.4 | 22.7 |
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