Dallas Wings
2023 Team Stats (38 games)
88.0
PPG
84.7
Opp
+3.3
Margin
44.8%
FG%
32.4%
3P%
78.1%
FT%
38.8
RPG
20.8
APG
13.0
TO
95.2
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 → | 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) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Ogunbowale
|
G | 38 | 37.4 | 21.1 | 3.5 | 4.7 | 1.7 | 0.1 | 2.2 | 18.5 | 10.4 | - | - | - | 40.6 | 36.0 | 85.6 | -0.17 | 52.6 | 48.7 |
Satou Sabally
|
F | 36 | 32.9 | 17.5 | 7.2 | 4.6 | 1.7 | 0.5 | 3.0 | 14.2 | 14.4 | - | - | - | 41.6 | 36.4 | 85.7 | -0.05 | 53.7 | 47.4 |
Natasha Howard
|
F | 37 | 33.3 | 16.0 | 8.1 | 2.8 | 1.3 | 1.1 | 2.8 | 13.5 | 12.9 | - | - | - | 46.0 | 30.4 | 79.3 | 0.19 | 53.4 | 49.5 |
T. McCowan
|
C | 34 | 27.0 | 12.1 | 9.6 | 1.6 | 0.6 | 1.2 | 1.5 | 9.0 | 14.6 | - | - | - | 55.9 | 0.0 | 57.4 | 0.01 | 57.3 | 55.9 |
Crystal Dangerfield
|
G | 34 | 25.4 | 7.6 | 2.7 | 2.9 | 0.9 | 0.2 | 1.1 | 7.4 | 5.9 | - | - | - | 42.5 | 27.8 | 87.5 | 0.15 | 48.9 | 46.8 |
K. Brown
|
C | 33 | 14.7 | 7.5 | 3.8 | 1.0 | 0.3 | 0.6 | 1.2 | 4.4 | 7.6 | - | - | - | 66.0 | 0.0 | 76.0 | - | 69.8 | 66.0 |
M. Siegrist
|
F | 36 | 7.8 | 3.7 | 1.5 | 0.2 | 0.2 | 0.1 | 0.2 | 2.7 | 2.9 | - | - | - | 52.0 | 35.7 | 93.1 | - | 60.5 | 54.6 |
A. Kuier
|
F | 35 | 11.3 | 3.1 | 2.6 | 0.5 | 0.3 | 0.7 | 0.7 | 2.7 | 3.8 | - | - | - | 45.8 | 15.4 | 72.0 | -0.2 | 51.4 | 47.9 |
Odyssey Sims
|
G | 32 | 12.8 | 2.6 | 1.3 | 2.1 | 0.5 | 0.0 | 0.7 | 3.0 | 2.8 | - | - | - | 34.4 | 21.7 | 61.9 | 0.99 | 39.9 | 37.0 |
Veronica Burton
|
G | 38 | 10.8 | 1.8 | 1.2 | 1.7 | 0.7 | 0.2 | 0.3 | 1.9 | 3.4 | - | - | - | 25.0 | 22.5 | 88.5 | 0.21 | 40.7 | 31.2 |
J. Dickey
|
G | 7 | 2.7 | 1.0 | 0.6 | 0.0 | 0.1 | 0.0 | 0.7 | 1.4 | -0.4 | - | - | - | 20.0 | 0 | 75.0 | - | 29.8 | 20.0 |
Ashley Joens
|
G | 6 | 1.2 | 0.2 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.3 | - | - | - | 0.0 | 0.0 | 25.0 | - | 18.1 | 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