Chicago Sky · G · 2026 stats, contract & trade value
Add Cloud to the Trade Machine →In 2026, Cloud is outproducing her contract by 10.2 pts of talent. She's a free agent after this season, so the figure reflects her 2026 salary alone.
wRAPM — her effect on team net scoring per 100 possessions, adjusted for teammates and opponents.
Projected per stat on the fitted league aging curves (scoring fades, rebounding holds, minutes drive late decline) — 4,700 player-seasons, 1997–2025. Ranges are 10th–90th percentile from held-out backtest error. Years marked FA are past her current deal — projection only.
| Season | Team | GP | MPG | PPG | RPG | APG | SPG | BPG | TOV | FG% | 3P% | FT% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015 | WAS | 34 | 19.3 | 3.6 | 2.8 | 3.4 | 0.9 | 0.1 | 1.4 | 32.3% | 23.7% | 68.1% |
| 2016 | WAS | 31 | 24.3 | 5.7 | 3.0 | 3.8 | 0.8 | 0.1 | 1.4 | 34.8% | 33.8% | 75.4% |
| 2017 | WAS | 24 | 18.6 | 4.4 | 2.5 | 2.9 | 0.7 | 0.1 | 1.0 | 31.4% | 23.5% | 74.1% |
| 2018 | WAS | 27 | 26.5 | 8.6 | 3.2 | 4.6 | 0.8 | 0.1 | 1.7 | 43.6% | 38.6% | 77.8% |
| 2019 | WAS | 34 | 32.2 | 9.0 | 2.5 | 5.6 | 1.0 | 0.2 | 1.9 | 39.4% | 32.6% | 68.3% |
| 2021 | WAS | 27 | 31.6 | 8.7 | 3.6 | 6.4 | 1.4 | 0.1 | 2.2 | 38.9% | 27.4% | 83.6% |
| 2022 | WAS | 34 | 31.3 | 10.7 | 3.6 | 7.0 | 1.0 | 0.3 | 2.8 | 39.9% | 31.9% | 82.4% |
| 2023 | WAS | 37 | 32.4 | 12.7 | 3.7 | 6.2 | 1.1 | 0.3 | 2.6 | 37.7% | 29.8% | 90.0% |
| 2024 | PHO | 38 | 33.3 | 11.5 | 4.1 | 6.9 | 1.4 | 0.6 | 3.0 | 39.7% | 30.8% | 82.6% |
| 2025 | NYL | 41 | — | 10.1 | 3.7 | 5.1 | 1.2 | 0.3 | — | — | — | — |
| 2026 | CHI | 39 | 28.5 | 11.4 | 3.4 | 4.9 | 1.1 | 0.3 | 2.2 | 49.0% | 35.7% | 85.5% |
| Season | Talent | PPG | RPG | APG |
|---|---|---|---|---|
| 2027 | 49 | 9.2 | 3.2 | 4.4 |
| 2028 | 45 | 7.7 | 2.8 | 3.9 |
Future-year talent figures above are projections on the league aging curve (fit from 4,692 player-seasons, 1997–2025), not measurements — they fade in the display because they should.How the projections work →
Her attribute profile scored against each team's current roster deficits — where she'd fill the biggest hole, not just where she'd be fun.
A fair package each interested team would have to send for Natasha Cloud — assembled and priced by the same engine that grades trades, most valuable pieces first until the outgoing value matches hers. The percentage is what that package is worth on the trade-value scale: 100% is an even match for Natasha Cloud, above 100% a slight overpay to get there. Open one in the machine to tweak it.
A starting point, not a prediction — each package is the fewest fair pieces by model value, and a real deal would flex around roster fit and both front offices. “Needs a filler” means the salaries don't yet fit under the cap without another piece.
The closest player-seasons in league history (1997–2025) to her current age, per-36 profile, and role — the careers her projection walks alongside.
