Chicago Sky
2026 Team Stats (44 games)
Model Outputs
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 → | 911 (#10) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 903 (#12) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 940 (#11) | HCA +66 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.7 (#10) | HCA +1.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -5.8 (#12) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.377 (#10) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.377 (#10) | NetEff -4.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.378 (#10) | AdjNet -4.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.377 (#10) | AdjNet -4.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.418 (#10) | AdjO 86.1 | AdjD 89.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.388 (#12) | AdjO 86.3 | AdjD 91.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.384 (#11) | 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 → | 0.378 (#12) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 914 (#11) | RD 160 | GP 44 |
2026 Schedule & Results
2026 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Rickea Jackson
|
F | 6 | 26.8 | 16.0 | 4.2 | 1.8 | 0.2 | 1.2 | 2.5 | 13.0 | 7.8 | - | - | - | - | 37.2 | 25.0 | 88.9 | - | 51.2 | 41.0 |
Kamilla Cardoso
|
C | 45 | 26.2 | 14.3 | 8.4 | 2.4 | 0.6 | 1.4 | 1.8 | 10.0 | 15.3 | - | - | - | - | 54.9 | 0 | 73.2 | - | 59.6 | 54.9 |
Skylar Diggins-Smith
|
G | 20 | 28.4 | 13.8 | 3.0 | 4.8 | 0.9 | 0.6 | 1.7 | 11.3 | 10.1 | - | - | - | - | 39.2 | 37.1 | 75.8 | - | 51.3 | 44.9 |
S. Taylor
|
- | 39 | 20.3 | 13.7 | 1.7 | 2.0 | 0.6 | 0.3 | 1.6 | 11.2 | 5.4 | - | - | - | - | 42.2 | 31.9 | 76.7 | - | 54.5 | 50.7 |
Hailey Van Lith
|
G | 2 | 20.5 | 12.5 | 1.0 | 4.5 | 1.0 | 0.0 | 0.5 | 7.0 | 11.5 | - | - | - | - | 71.4 | 50.0 | 80.0 | - | 77.2 | 75.0 |
Natasha Cloud
|
G | 40 | 28.2 | 11.1 | 3.4 | 4.8 | 1.1 | 0.3 | 2.1 | 7.7 | 10.9 | - | - | - | - | 49.0 | 35.7 | 85.5 | - | 62.2 | 56.4 |
Azurá Stevens
|
F | 32 | 24.5 | 10.6 | 6.4 | 2.1 | 0.8 | 0.8 | 1.6 | 9.5 | 9.6 | - | - | - | - | 42.6 | 25.5 | 77.9 | - | 50.9 | 47.2 |
Courtney Vandersloot
|
- | 27 | 22.5 | 9.6 | 2.9 | 5.4 | 1.1 | 0.3 | 2.1 | 7.3 | 9.9 | - | - | - | - | 45.5 | 40.9 | 78.5 | - | 56.9 | 52.3 |
DiJonai Carrington
|
G | 11 | 16.2 | 8.8 | 3.1 | 0.6 | 0.6 | 0.2 | 0.8 | 8.5 | 4.0 | - | - | - | - | 33.0 | 28.0 | 73.7 | - | 43.8 | 36.7 |
Gabriela Jaquez
|
- | 41 | 19.3 | 7.2 | 3.0 | 0.9 | 0.7 | 0.0 | 1.1 | 6.0 | 4.7 | - | - | - | - | 43.9 | 26.0 | 82.4 | - | 53.2 | 47.7 |
Jacy Sheldon
|
G | 46 | 20.5 | 6.2 | 1.4 | 1.7 | 0.8 | 0.2 | 1.0 | 5.4 | 3.9 | - | - | - | - | 41.6 | 29.3 | 86.0 | - | 52.8 | 48.8 |
C. Bibby
|
F | 4 | 12.8 | 5.5 | 0.5 | 1.5 | 0.5 | 0.2 | 0.5 | 5.0 | 2.8 | - | - | - | - | 40.0 | 33.3 | 100.0 | - | 52.7 | 50.0 |
Tonie Morgan
|
- | 2 | 11.0 | 5.5 | 3.5 | 2.0 | 0.5 | 0.0 | 0.5 | 3.5 | 7.5 | - | - | - | - | 57.1 | 100.0 | 100.0 | - | 69.8 | 64.3 |
Rachel Banham
|
G | 42 | 13.9 | 5.3 | 1.1 | 1.3 | 0.3 | 0.2 | 0.8 | 4.8 | 2.5 | - | - | - | - | 38.0 | 34.7 | 78.3 | - | 52.6 | 50.7 |
Elizabeth Williams
|
C | 44 | 17.2 | 5.2 | 3.6 | 1.4 | 0.7 | 0.9 | 0.8 | 4.5 | 6.5 | - | - | - | - | 46.7 | 0 | 45.2 | - | 47.5 | 46.7 |
Aicha Coulibaly
|
- | 32 | 13.6 | 5.1 | 2.6 | 0.6 | 0.7 | 0.3 | 0.7 | 3.6 | 5.0 | - | - | - | - | 43.1 | 4.3 | 88.7 | - | 55.7 | 43.5 |
Kate Martin
|
G | 2 | 12.5 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.5 | 3.0 | 2.5 | - | - | - | - | 66.7 | 50.0 | 0 | - | 83.3 | 83.3 |
Morgan Maly
|
- | 5 | 14.0 | 5.0 | 2.8 | 0.6 | 0.2 | 0.6 | 0.2 | 3.6 | 5.4 | - | - | - | - | 44.4 | 45.5 | 100.0 | - | 63.3 | 58.3 |
Latasha Lattimore
|
- | 2 | 11.5 | 3.0 | 1.0 | 0.0 | 0.5 | 0.5 | 0.0 | 1.5 | 3.5 | - | - | - | - | 66.7 | 50.0 | 33.3 | - | 69.4 | 83.3 |
Megan Nestor
|
- | 2 | 10.5 | 3.0 | 2.0 | 0.5 | 1.0 | 0.0 | 0.0 | 2.5 | 4.0 | - | - | - | - | 20.0 | 0 | 66.7 | - | 39.3 | 20.0 |
S. Cooks
|
- | 1 | 10.0 | 2.0 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | 2.0 | 1.0 | - | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
Maddy Westbeld
|
F | 4 | 10.2 | 2.0 | 2.2 | 1.0 | 0.2 | 0.2 | 0.5 | 2.5 | 2.8 | - | - | - | - | 30.0 | 28.6 | 0 | - | 40.0 | 40.0 |
Jordan Hobbs
|
- | 2 | 12.5 | 1.5 | 2.0 | 1.0 | 0.0 | 0.0 | 0.5 | 1.0 | 3.0 | - | - | - | - | 50.0 | 100.0 | 0 | - | 75.0 | 75.0 |
Saylor Poffenbarger
|
- | 5 | 5.2 | 0.0 | 1.2 | 0.2 | 0.4 | 0.0 | 0.0 | 0.8 | 1.0 | - | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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
2026 Shot Zones
3183 located field-goal attempts in 46 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).
Kamilla CardosoS. TaylorNatasha CloudAzurá StevensJacy SheldonCourtney VanderslootSkylar Diggins-Smith
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 706-1156 | 61.1 | 1412 | Kamilla Cardoso 30% (418 pts) | Azurá Stevens 11% (150 pts) | Kamilla Cardoso 30% (134 misses) | Azurá Stevens 11% (49 misses) |
| Paint (non-RA) | 244-617 | 39.5 | 488 | Kamilla Cardoso 14% (70 pts) | Gabriela Jaquez 12% (60 pts) | Kamilla Cardoso 16% (59 misses) | Gabriela Jaquez 12% (46 misses) |
| Mid-range left | 39-100 | 39.0 | 78 | S. Taylor 18% (14 pts) | Natasha Cloud 13% (10 pts) | Skylar Diggins-Smith 16% (10 misses) | S. Taylor 15% (9 misses) |
| Mid-range center | 50-105 | 47.6 | 100 | Natasha Cloud 24% (24 pts) | Rachel Banham 12% (12 pts) | S. Taylor 24% (13 misses) | Natasha Cloud 22% (12 misses) |
| Mid-range right | 46-147 | 31.3 | 92 | Courtney Vandersloot 20% (18 pts) | Natasha Cloud 20% (18 pts) | S. Taylor 15% (15 misses) | Jacy Sheldon 12% (12 misses) |
| Left corner 3 | 24-82 | 29.3 | 72 | Jacy Sheldon 21% (15 pts) | Azurá Stevens 17% (12 pts) | S. Taylor 22% (13 misses) | Jacy Sheldon 16% (9 misses) |
| Right corner 3 | 24-77 | 31.2 | 72 | Jacy Sheldon 25% (18 pts) | Azurá Stevens 17% (12 pts) | Azurá Stevens 28% (15 misses) | S. Taylor 19% (10 misses) |
| Above-break 3 left | 122-384 | 31.8 | 366 | S. Taylor 22% (81 pts) | Natasha Cloud 18% (66 pts) | S. Taylor 20% (53 misses) | Rachel Banham 15% (39 misses) |
| Above-break 3 center | 62-169 | 36.7 | 186 | S. Taylor 24% (45 pts) | Rachel Banham 23% (42 pts) | S. Taylor 25% (27 misses) | Natasha Cloud 16% (17 misses) |
| Above-break 3 right | 105-346 | 30.3 | 315 | S. Taylor 23% (72 pts) | Rachel Banham 14% (45 pts) | S. Taylor 22% (53 misses) | Rachel Banham 14% (34 misses) |