Chicago Sky
2023 Team Stats (34 games)
80.8
PPG
84.5
Opp
-3.7
Margin
44.0%
FG%
36.4%
3P%
75.1%
FT%
32.9
RPG
20.0
APG
13.6
TO
89.6
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 → | 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) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kahleah Copper
|
G | 32 | 31.4 | 18.9 | 4.3 | 2.0 | 0.9 | 0.3 | 2.6 | 15.2 | 8.7 | - | - | - | 45.3 | 39.7 | 77.4 | -0.67 | 55.5 | 51.4 |
Marina Mabrey
|
G | 34 | 30.4 | 14.3 | 3.7 | 3.4 | 0.7 | 0.5 | 2.1 | 12.3 | 8.1 | - | - | - | 40.8 | 39.2 | 81.2 | 0.47 | 53.6 | 50.4 |
C. Williams
|
G | 34 | 29.6 | 10.4 | 5.8 | 6.4 | 1.1 | 0.3 | 2.6 | 10.0 | 11.5 | - | - | - | 45.0 | 43.7 | 64.7 | - | 51.1 | 50.6 |
Elizabeth Williams
|
C | 34 | 30.1 | 9.9 | 6.1 | 2.6 | 1.2 | 1.5 | 1.5 | 8.1 | 11.8 | - | - | - | 51.8 | 0 | 64.2 | 0.06 | 54.3 | 51.8 |
Dana Evans
|
G | 34 | 21.0 | 8.9 | 1.1 | 2.9 | 0.7 | 0.1 | 1.5 | 8.2 | 4.1 | - | - | - | 35.1 | 29.5 | 87.7 | 0.63 | 48.2 | 41.6 |
Alyssa Smith
|
F | 32 | 26.2 | 8.6 | 6.8 | 1.6 | 1.4 | 1.3 | 1.7 | 7.1 | 10.9 | - | - | - | 46.9 | 22.9 | 69.2 | - | 54.2 | 51.1 |
Robyn Parks
|
F | 33 | 14.0 | 4.1 | 1.7 | 0.5 | 0.2 | 0.1 | 0.5 | 3.8 | 2.3 | - | - | - | 40.3 | 37.2 | 100.0 | - | 53.5 | 52.0 |
M. Bertsch
|
F | 26 | 13.3 | 4.1 | 1.4 | 0.5 | 0.4 | 0.1 | 1.0 | 3.5 | 1.9 | - | - | - | 42.9 | 44.4 | 75.0 | - | 54.1 | 51.6 |
Ruthy Hebard
|
F | 21 | 9.0 | 3.7 | 2.3 | 0.3 | 0.3 | 0.4 | 0.2 | 2.7 | 4.1 | - | - | - | 56.1 | 0 | 65.0 | - | 58.5 | 56.1 |
Sika Koné
|
F | 17 | 8.1 | 3.1 | 2.4 | 0.5 | 0.1 | 0.1 | 0.6 | 2.2 | 3.3 | - | - | - | 56.8 | 40.0 | 64.3 | - | 61.4 | 59.5 |
Kristine Anigwe
|
C | 3 | 4.7 | 1.3 | 0.7 | 0.3 | 0.0 | 0.7 | 0.7 | 1.3 | 1.0 | - | - | - | 25.0 | 0 | 50.0 | - | 34.7 | 25.0 |
Taylor Soule
|
F | 16 | 3.3 | 0.6 | 0.5 | 0.2 | 0.0 | 0.1 | 0.2 | 0.9 | 0.2 | - | - | - | 14.3 | 0.0 | 62.5 | - | 25.7 | 14.3 |
K. Hillsman
|
- | 1 | 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