Dallas Wings · F · 2026 stats, contract & trade value
Add Clark to the Trade Machine →In 2026, Clark is producing 0.3 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012 | SEA | 23 | 10.3 | 3.4 | 2.0 | 0.3 | 0.2 | 0.0 | 0.8 | 54.7% | 45.0% | 70.6% |
| 2013 | SEA | 33 | 15.3 | 4.0 | 2.5 | 0.4 | 0.4 | 0.2 | 1.1 | 45.3% | 39.0% | 76.0% |
| 2014 | SEA | 34 | 16.5 | 4.2 | 2.1 | 0.6 | 0.5 | 0.3 | 0.7 | 44.8% | 24.6% | 69.6% |
| 2015 | SEA | 33 | 23.1 | 6.9 | 3.7 | 1.2 | 0.7 | 0.2 | 1.1 | 54.4% | 35.3% | 77.5% |
| 2016 | SEA | 33 | 27.6 | 9.0 | 3.7 | 1.9 | 0.7 | 0.1 | 1.3 | 48.4% | 38.7% | 84.7% |
| 2017 | SEA | 33 | 28.3 | 8.2 | 4.2 | 1.6 | 0.7 | 0.1 | 1.0 | 52.5% | 32.8% | 74.5% |
| 2018 | SEA | 31 | 26.2 | 7.4 | 3.5 | 1.9 | 1.0 | 0.1 | 1.2 | 48.0% | 39.2% | 84.6% |
| 2019 | SEA | 31 | 28.4 | 9.6 | 4.7 | 2.5 | 1.1 | 0.5 | 1.5 | 48.1% | 48.1% | 81.8% |
| 2020 | SEA | 22 | 28.8 | 10.0 | 4.2 | 2.7 | 1.5 | 0.5 | 0.9 | 55.8% | 52.2% | 80.0% |
| 2022 | WSH | 29 | 26.4 | 8.0 | 4.5 | 2.0 | 1.0 | 0.3 | 1.3 | 46.4% | 30.3% | 91.3% |
| 2023 | LV | 39 | 22.5 | 6.7 | 3.4 | 1.1 | 0.6 | 0.2 | 0.7 | 44.4% | 38.6% | 81.8% |
| 2024 | LV | 40 | 24.3 | 6.0 | 3.6 | 1.8 | 0.8 | 0.3 | 1.4 | 44.3% | 37.3% | 82.1% |
| 2025 | SEA/WSH | 42 | 19.7 | 3.9 | 2.8 | 1.2 | 0.6 | 0.1 | 0.5 | 37.1% | 27.1% | 73.1% |
| 2026 | DAL | 22 | 10.1 | 2.1 | 1.2 | 0.5 | 0.2 | 0.1 | 0.5 | 36.8% | 30.8% | 73.3% |
| Season | Talent | PPG | RPG | APG |
|---|---|---|---|---|
| 2027 | 20 | 2.4 | 1.5 | 0.7 |
| 2028 | 20 | 1.6 | 1.2 | 0.5 |
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 Alysha Clark — 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: 93% of her 40 nearest comps had no qualified season two years on — projection ranges assume she's still playing.
