Chicago Sky
2025 Team Stats (47 games)
76.3
PPG
85.1
Opp
-8.8
Margin
42.5%
FG%
33.0%
3P%
76.4%
FT%
35.7
RPG
19.4
APG
15.3
TO
89.1
Pace
79.5
AdjO
83.7
AdjD
#13
Rank
Model Outputs
2025
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 753 (#17) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 849 (#16) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 867 (#16) | HCA +45 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.9 (#13) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -5.2 (#14) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.177 (#13) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.177 (#13) | NetEff -11.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.325 (#14) | AdjNet -5.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.328 (#14) | AdjNet -5.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.405 (#13) | AdjO 79.5 | AdjD 83.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.338 (#17) | AdjO 76.3 | AdjD 83.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.321 (#15) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.308 (#15) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 845 (#16) | RD 137 | GP 47 |
2025 Schedule & Results
2025 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. Reese
|
F | 33 | 30.5 | 14.4 | 12.1 | 3.5 | 1.4 | 0.6 | 3.6 | 10.8 | 17.5 | - | - | - | 45.5 | 16.7 | 75.0 | - | 53.6 | 46.1 |
K. Cardoso
|
C | 43 | 27.1 | 13.3 | 8.5 | 2.3 | 0.3 | 1.2 | 2.3 | 10.3 | 13.1 | - | - | - | 53.1 | 50.0 | 72.5 | - | 56.8 | 53.2 |
Ariel Atkins
|
G | 37 | 28.0 | 12.6 | 3.3 | 3.6 | 1.5 | 0.7 | 2.4 | 10.5 | 8.7 | - | - | - | 43.3 | 34.3 | 85.4 | -0.38 | 53.9 | 49.2 |
C. Vandersloot
|
- | 9 | 25.3 | 9.7 | 2.9 | 5.2 | 1.8 | 0.2 | 2.4 | 8.6 | 8.8 | - | - | - | 45.5 | 23.1 | 84.6 | 0.36 | 52.6 | 49.4 |
Rachel Banham
|
G | 47 | 24.0 | 8.9 | 1.7 | 2.7 | 0.6 | 0.3 | 1.6 | 7.6 | 5.0 | - | - | - | 38.4 | 35.8 | 88.1 | -0.11 | 54.4 | 51.1 |
Elizabeth Williams
|
C | 46 | 20.6 | 8.3 | 5.0 | 1.7 | 0.8 | 0.9 | 1.2 | 7.3 | 8.1 | - | - | - | 49.1 | 100.0 | 60.2 | - | 51.1 | 49.3 |
Kia Nurse
|
G | 47 | 21.6 | 7.4 | 2.3 | 1.2 | 0.3 | 0.0 | 1.2 | 6.7 | 3.3 | - | - | - | 35.7 | 34.4 | 80.9 | - | 50.3 | 46.3 |
T. Boler
|
- | 1 | 5.0 | 7.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 5.0 | 4.0 | - | - | - | 60.0 | 33.3 | 0 | - | 70.0 | 70.0 |
Michaela Onyenwere
|
F | 45 | 16.8 | 5.8 | 1.7 | 1.1 | 0.4 | 0.1 | 1.4 | 5.1 | 2.6 | - | - | - | 41.5 | 35.5 | 84.6 | 0.95 | 51.8 | 47.4 |
Rebecca Allen
|
G | 47 | 18.4 | 5.1 | 2.6 | 1.2 | 0.5 | 0.5 | 0.9 | 5.4 | 3.6 | - | - | - | 34.4 | 31.7 | 62.5 | 0.18 | 44.6 | 43.1 |
A. Wilson
|
G | 2 | 9.0 | 4.0 | 2.0 | 0.5 | 0.0 | 0.0 | 1.0 | 4.0 | 1.5 | - | - | - | 37.5 | 25.0 | 50.0 | - | 45.0 | 43.8 |
M. Westbeld
|
F | 29 | 13.1 | 3.9 | 2.3 | 0.8 | 0.5 | 0.2 | 0.6 | 3.7 | 3.4 | - | - | - | 37.4 | 39.5 | 88.2 | - | 48.9 | 45.3 |
H. Van Lith
|
G | 32 | 12.7 | 3.8 | 1.1 | 1.8 | 0.4 | 0.2 | 1.2 | 3.7 | 2.4 | - | - | - | 35.6 | 22.2 | 77.8 | - | 44.8 | 39.0 |
Sevgi Uzun
|
G | 18 | 18.8 | 3.7 | 1.4 | 2.7 | 0.5 | 0.0 | 1.8 | 4.5 | 2.0 | - | - | - | 34.6 | 18.2 | 70.0 | -0.26 | 39.2 | 37.0 |
M. Bertsch
|
F | 2 | 6.0 | 3.5 | 0.5 | 0.0 | 0.5 | 0.0 | 0.0 | 4.0 | 0.5 | - | - | - | 25.0 | 33.3 | 100.0 | - | 39.4 | 31.2 |
Arella Guirantes
|
G | 1 | 8.0 | 2.0 | 2.0 | 2.0 | 0.0 | 1.0 | 1.0 | 2.0 | 4.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
S. Puisis
|
- | 1 | 5.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | -3.0 | - | - | - | 16.7 | 0.0 | 0 | - | 16.7 | 16.7 |
Moriah Jefferson
|
G | 7 | 7.3 | 1.7 | 0.9 | 1.7 | 0.1 | 0.0 | 0.4 | 1.9 | 2.1 | - | - | - | 38.5 | 50.0 | 0 | 0.09 | 46.2 | 46.2 |
J. Carter
|
- | 2 | 6.0 | 1.0 | 2.0 | 0.0 | 0.0 | 0.5 | 0.0 | 2.0 | 1.5 | - | - | - | 25.0 | 0 | 0 | - | 25.0 | 25.0 |
Marquesha Davis
|
G | 2 | 10.5 | 1.0 | 1.0 | 0.0 | 0.0 | 0.5 | 1.5 | 3.0 | -2.0 | - | - | - | 16.7 | 0.0 | 0 | - | 16.7 | 16.7 |
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