Chicago Sky · G · 2026 stats, contract & trade value
Add Banham to the Trade Machine →In 2026, Banham is producing 5.5 pts below what her salary should buy. She's a free agent after this season, so the figure reflects her 2026 salary alone.
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016 | CON | 15 | 10.9 | 3.7 | 0.7 | 0.9 | 0.5 | 0.1 | 0.5 | 40.8% | 35.1% | 66.7% |
| 2017 | CON | 30 | 9.4 | 3.3 | 1.1 | 0.7 | 0.1 | 0.0 | 0.4 | 32.7% | 28.1% | 80.0% |
| 2018 | CON | 33 | 12.8 | 5.2 | 0.9 | 1.5 | 0.5 | 0.1 | 0.5 | 41.4% | 37.0% | 86.8% |
| 2019 | CON | 29 | 12.2 | 3.6 | 1.0 | 0.9 | 0.3 | 0.1 | 0.9 | 32.2% | 30.6% | 69.2% |
| 2020 | MIN | 20 | 17.0 | 6.9 | 1.3 | 2.4 | 0.5 | 0.1 | 1.0 | 46.2% | 47.2% | 80.0% |
| 2021 | MIN | 27 | 12.6 | 5.0 | 1.2 | 1.6 | 0.3 | 0.1 | 0.9 | 39.5% | 37.3% | 62.5% |
| 2022 | MIN | 36 | 17.5 | 7.9 | 1.3 | 2.3 | 0.3 | 0.1 | 1.3 | 43.0% | 38.3% | 80.0% |
| 2023 | MIN | 32 | 13.6 | 5.5 | 1.0 | 1.7 | 0.3 | 0.1 | 1.1 | 37.0% | 40.2% | 78.6% |
| 2024 | CON | 21 | 12.9 | 4.8 | 1.2 | 0.7 | 0.4 | 0.2 | 0.5 | 35.8% | 34.8% | 90.0% |
| 2024 | CHI | 16 | 19.8 | 6.9 | 1.8 | 1.6 | 0.4 | 0.1 | 0.6 | 34.6% | 38.2% | 70.0% |
| 2025 | CHI | 44 | 24.6 | 9.0 | 1.7 | 2.7 | 0.6 | 0.3 | 1.6 | 38.3% | 35.7% | 88.1% |
| 2026 | CHI | 30 | 12.9 | 4.7 | 1.1 | 1.1 | 0.3 | 0.3 | 0.8 | 36.4% | 32.7% | 81.3% |
| Season | Talent | PPG | RPG | APG |
|---|---|---|---|---|
| 2027 | 20 | 5.6 | 1.3 | 1.5 |
| 2028 | 20 | 4.3 | 1.1 | 1.3 |
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 Rachel Banham — assembled and priced by the same engine that grades trades, most valuable pieces first until the outgoing value matches hers. 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.
Durability context: 50% of her 40 nearest comps had no qualified season two years on — projection ranges assume she's still playing.
