WTA Tour
WTA World Ranking - 0 pts
⚙️ Grinder
Wears opponents down with relentless consistency and deep margins. Doesn't flash the most winners but rarely misses, extending rallies until the opponent cracks under pressure.
Strong against
Weak against
Age
32
Height
5'7" (170 cm)
Plays
Right-Handed
66
Wins
90
Losses
42.3%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2025 | 4/7 | - | 4/7 | - |
| 2024 | 14/16 | 2/3 | 11/11 | 1/2 |
| 2023 | 1/1 | - | 1/1 | - |
| 2021 | 1/9 | 1/2 | 0/4 | 0/3 |
| 2020 | 3/6 | - | 3/6 | - |
| 2019 | 19/20 | 0/4 | 16/13 | 3/3 |
| 2018 | 15/14 | 1/3 | 14/10 | 0/1 |
| 2017 | 5/5 | - | 5/5 | - |
| 2016 | 4/9 | - | 4/9 | - |
| 2015 | 0/3 | - | 0/3 | - |
| Career | 66/90 | 4/12 | 58/69 | 4/9 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Oct 27, 2025 | Hong Kong | Round of 16 | Belinda Bencic | Hard | 26 26 | L |
| Oct 27, 2025 | Hong Kong | Round of 32 | Maddison Inglis | Hard | 64 67 63 | W |
| Oct 20, 2025 | Guangzhou | Round of 16 | Lulu Sun | Hard | 36 16 | L |
| Oct 20, 2025 | Guangzhou | Round of 32 | Kamilla Rakhimova | Hard | 62 64 | W |
| Aug 25, 2025 | Us Open | Round of 128 | Emma Navarro | Hard | 67 36 | L |
| Aug 17, 2025 | Cleveland | Round of 16 | Liudmila Samsonova | Hard | 26 46 | L |
| Aug 17, 2025 | Cleveland | Round of 32 | Peyton Stearns | Hard | 64 36 63 | W |
| Aug 7, 2025 | Cincinnati | Round of 128 | Peyton Stearns | Hard | 46 36 | L |
| Jul 27, 2025 | Montreal | Round of 128 | Yuliia Starodubtseva | Hard | 76 46 46 | L |
| Jan 13, 2025 | Australian Open | Round of 128 | Anna Bondar | Hard | 36 63 64 | W |
Yafan Wang is currently ranked #9999 in the WTA singles rankings with 0 points.
Yafan Wang (WTA #9999) has a career win-loss record of 66-90 (42.3% win rate) and has won 0 WTA titles.
Smashrs tracks Yafan's upcoming matches with AI-powered predictions across six independent models. Our confidence score reflects the degree of agreement between models - a higher score means stronger consensus. Check back before each match for the latest prediction.
