Chicago Sky
2022 Team Stats (39 games)
85.4
PPG
81.5
Opp
+3.9
Margin
47.1%
FG%
32.9%
3P%
81.5%
FT%
35.0
RPG
23.9
APG
13.0
TO
89.0
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 → | 899 (#12) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +1.9 (#15) | HCA +2.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.242 (#16) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kahleah Copper
|
G | 38 | 29.2 | 16.2 | 5.4 | 2.0 | 0.7 | 0.1 | 2.0 | 12.3 | 10.2 | - | - | - | 47.9 | 35.2 | 77.8 | -0.37 | 57.3 | 52.6 |
Candace Parker
|
F | 35 | 28.4 | 13.5 | 9.4 | 4.4 | 1.0 | 1.3 | 2.4 | 11.2 | 16.1 | - | - | - | 44.3 | 31.1 | 80.6 | -1.26 | 54.3 | 50.3 |
Emma Meesseman
|
C | 39 | 28.6 | 12.4 | 5.1 | 3.9 | 1.3 | 0.9 | 1.2 | 9.8 | 12.6 | - | - | - | 55.2 | 32.1 | 89.8 | - | 59.8 | 57.4 |
C. Vandersloot
|
- | 35 | 26.6 | 11.8 | 3.7 | 5.9 | 1.2 | 0.5 | 2.5 | 9.1 | 11.4 | - | - | - | 49.7 | 33.0 | 75.3 | -0.8 | 57.6 | 54.4 |
A. Quigley
|
G | 39 | 26.9 | 11.0 | 2.7 | 3.0 | 0.8 | 0.2 | 1.2 | 9.0 | 7.4 | - | - | - | 40.6 | 35.2 | 92.0 | -0.58 | 55.0 | 49.6 |
Azurá Stevens
|
F | 38 | 21.1 | 9.3 | 3.9 | 0.8 | 0.7 | 1.1 | 0.8 | 8.1 | 6.8 | - | - | - | 46.1 | 33.9 | 74.4 | 0.63 | 54.3 | 52.4 |
Rebekah Gardner
|
G | 39 | 20.7 | 7.7 | 3.2 | 1.3 | 1.2 | 0.5 | 1.4 | 5.8 | 6.9 | - | - | - | 51.6 | 29.3 | 81.2 | - | 58.7 | 54.2 |
Dana Evans
|
G | 31 | 8.7 | 3.1 | 0.7 | 0.8 | 0.2 | 0.1 | 0.6 | 3.0 | 1.2 | - | - | - | 36.6 | 31.5 | 91.7 | 0.18 | 48.8 | 45.7 |
Julie Allemand
|
G | 34 | 15.1 | 2.8 | 1.3 | 3.1 | 0.5 | 0.1 | 1.1 | 2.3 | 4.4 | - | - | - | 41.6 | 27.3 | 75.0 | - | 53.7 | 49.4 |
Ruthy Hebard
|
F | 22 | 8.4 | 2.0 | 1.6 | 0.5 | 0.5 | 0.1 | 0.5 | 2.0 | 2.1 | - | - | - | 46.7 | 0.0 | 100.0 | - | 47.3 | 46.7 |
Li Yueru
|
C | 16 | 5.0 | 1.8 | 1.5 | 0.1 | 0.1 | 0.1 | 0.8 | 1.1 | 1.7 | - | - | - | 44.4 | 0 | 100.0 | - | 60.1 | 44.4 |
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