Yafan Wang
WTA ELO profile · tour-level matches since 2017
Season ELO trajectory
One point per match: the player's ELO rating after that match, matches in round order. Ratings are season-scoped: every January the engine re-seeds each player from WTA entry points, then updates after every result. That is why trajectories are shown one season at a time. Hover a point for the match behind it.
Career record
79-92 46.2% in 171 matches
Season by season
| Season | M | W-L | Start | Peak | End |
|---|---|---|---|---|---|
| 2025 | 18 | 8-10 | 1597 | 1643 | 1606 |
| 2024 | 38 | 19-19 | 1576 | 1811 | 1719 |
| 2023 | 2 | 1-1 | 1512 | 1566 | 1541 |
| 2021 | 16 | 3-13 | 1580 | 1558 | 1412 |
| 2020 | 9 | 3-6 | 1610 | 1625 | 1531 |
| 2019 | 49 | 26-23 | 1589 | 1820 | 1669 |
| 2018 | 29 | 14-15 | 1534 | 1679 | 1605 |
| 2017 | 10 | 5-5 | 1552 | 1604 | 1535 |
Recent matches
| Week | Tournament | Opponent | Result |
|---|---|---|---|
| Oct 27, 2025 | Hong Kong · Hard | Belinda Bencic | L 0-2 |
| Maddison Inglis | W 2-1 | ||
| Oct 20, 2025 | Guangzhou · Hard | Lulu Sun | L 0-2 |
| Kamilla Rakhimova | W 2-0 | ||
| Oct 06, 2025 | Wuhan · Hard | Katerina Siniakova | L 0-2 |
| Zeynep Sonmez | W 2-1 | ||
| Sep 15, 2025 | Seoul · Hard | Caty McNally | L 0-2 |
| Aug 24, 2025 | Us Open · Hard | Emma Navarro | L 0-2 |
| Aug 17, 2025 | Cleveland · Hard | Liudmila Samsonova | L 0-2 |
| Peyton Stearns | W 2-1 |
Serve predictions: how close do we get on Yafan Wang?
Not enough matches with a baseline in 2025 for a fair comparison. The chart still shows every match we projected.
The baseline predicts a player's aces as the average of their last five matches. Our model beats it when its projections land closer to what actually happened. Both numbers are the average miss per match, so lower is better, and both are for the selected season only.
Predictability: does Yafan Wang follow the script?
On serve · 2024| Season | M | W-L | Model hit | Upsets | Verdict |
|---|---|---|---|---|---|
| 2024 bt | 31 | 15-16 | 58.1% | 13 vs 11.1 exp | On serve |
An upset = our model's favorite losing. "Upsets" compares how many actually happened in Yafan Wang's matches with how many the model expected for that exact schedule. A season-level read (a wild-card season does not carry over year to year). How to read this · full board: most predictable WTA players.
Reuse this data · CC BY 4.0
The WTA ELO ratings dataset is free to reuse, including commercially, under CC BY 4.0. Attribution with a link is the only requirement. Copy-paste credit:
Data: <a href="https://www.predixsport.com/wta_tennis-power-rankings/yafan-wang">WTA ELO ratings by Predixsport</a> (CC BY 4.0)