Research
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How to read this page
Team tables split by side of the ball, and the Side control hides the half you are not reading. The roster is everyone who played for the team that season, not who is on it now. Players are identified by name here rather than by number, which is what the source offers. A dash means no number for that cell, or a zero in a roster column that counts.
Chicago Sky
2026 · Regular Season
| Player | |||||||||
|---|---|---|---|---|---|---|---|---|---|
 Kamilla CardosoC | 42 | 26.5 | 14.6 | 8.6 | 2.4 | 55.2% | — | 22.7% | 2.4 |
 Sydney TaylorG | 36 | 20.5 | 13.6 | 1.7 | 1.9 | 42.5% | 32.9% | 27.9% | -0.4 |
 Natasha CloudG | 40 | 28.3 | 11.1 | 3.4 | 4.8 | 49.0% | 35.7% | 16.8% | 0.1 |
 Azura StevensF | 32 | 24.5 | 10.6 | 6.4 | 2.1 | 42.6% | 25.5% | 20.7% | -1.3 |
 Jacy SheldonG | 43 | 20.7 | 6.5 | 1.4 | 1.7 | 42.6% | 30.3% | 14.2% | -3.0 |
 Gabriela JaquezG | 38 | 19.4 | 7.1 | 2.9 | 0.9 | 44.1% | 26.5% | 17.0% | -3.8 |
 Skylar DigginsG | 19 | 29.1 | 14.2 | 3.2 | 4.9 | 39.2% | 38.2% | 22.5% | 0.6 |
 Courtney VanderslootG | 26 | 22.3 | 9.3 | 2.9 | 5.4 | 44.2% | 38.1% | 19.8% | 1.1 |
 Elizabeth WilliamsC | 43 | 17 | 5.1 | 3.6 | 1.3 | 46.6% | — | 15.2% | -0.9 |
 Rachel BanhamG | 39 | 13.6 | 4.8 | 1.2 | 1.3 | 35.5% | 32.3% | 17.1% | -3.8 |
 Aicha CoulibalyG | 30 | 13.5 | 5.2 | 2.6 | 0.6 | 43.6% | 4.5% | 16.5% | -2.2 |
 DiJonai CarringtonG | 11 | 16.2 | 8.8 | 3.1 | 0.6 | 33.0% | 28.0% | 27.9% | — |
 Rickea JacksonF | 4 | 29.5 | 18 | 4.8 | 2 | 40.0% | 28.6% | 28.4% | — |
 Chloe BibbyF | 4 | 12.8 | 5.5 | 0.5 | 1.5 | 40.0% | 33.3% | 17.6% | — |
 Morgan MalyG | 4 | 12.8 | 4.5 | 2.5 | 0.3 | 38.5% | 50.0% | 13.2% | — |
 Kate MartinG | 1 | 16 | 5 | — | 1 | 50.0% | 33.3% | 10.8% | — |
 Maddy WestbeldF | 3 | 9.7 | 1 | 1.3 | 0.7 | 16.7% | 20.0% | 9.4% | — |
 Saylor PoffenbargerG | 5 | 5.2 | — | 1.2 | 0.2 | 0.0% | 0.0% | 7.8% | — |
About WNBA Research
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Every number the site holds for a WNBA team and the players who played for it, in one place. Pick a team, a season and a set of games, and read it. Nothing here needs an account.
Where the numbers come from
The same tables the boards read, resolved through one shared definition per stat. A rate is computed over the whole window rather than averaged across games, so a season figure is not the mean of the nightly ones.