WTA Tour
WTA World Ranking - 1,401 pts
💥 Big Hitter
Overpowers opponents with raw shot speed and aggressive ball-striking. Generates winners from both wings and keeps points short with high-risk, high-reward tennis.
Strong against
Weak against
Age
24
Height
5'12" (182 cm)
Plays
Right-Handed
97
Wins
116
Losses
45.5%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 11/11 | 1/3 | 10/8 | - |
| 2025 | 18/22 | 1/4 | 13/15 | 4/3 |
| 2024 | 26/27 | 6/5 | 17/19 | 3/3 |
| 2023 | 24/21 | 2/4 | 21/15 | 1/2 |
| 2022 | 6/18 | 0/3 | 5/13 | 1/2 |
| 2021 | 9/9 | 0/2 | 9/5 | 0/2 |
| 2020 | 0/2 | - | 0/2 | - |
| 2019 | 2/4 | - | 2/4 | - |
| 2018 | 1/2 | - | 1/2 | - |
| Career | 97/116 | 10/21 | 78/83 | 9/12 |
Averages · Last 90 days (6 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 17, 2026 | Strasbourg | Round of 32 | Lois Boisson | Clay | 36 67 | L |
| May 5, 2026 | Rome | Round of 64 | Alexandra Eala | Clay | 46 36 | L |
| Apr 21, 2026 | Madrid | Round of 64 | Laura Samson | Clay | 62 36 06 | L |
| Apr 13, 2026 | Rouen | Round of 32 | Chloe Paquet | Clay | 36 64 63 | W |
| Mar 17, 2026 | Miami | Round of 64 | Caty Mcnally | Hard | 46 61 06 | L |
| Mar 4, 2026 | Indian Wells | Round of 64 | Ajla Tomljanovic | Hard | 36 16 | L |
| Feb 23, 2026 | Austin | Round of 32 | Rebeka Masarova | Hard | 36 26 | L |
| Feb 8, 2026 | Doha | Round of 64 | Emiliana Arango | Hard | 61 75 | W |
| Feb 8, 2026 | Doha | Round of 32 | Elena Rybakina | Hard | 26 46 | L |
| Feb 1, 2026 | Cluj-Napoca | Quarterfinals | Oleksandra Oliynykova | Hard | 46 46 | L |
Xin Yu Wang is currently ranked #32 in the WTA singles rankings with 1,401 points.
Xin Yu Wang (WTA #32) has a career win-loss record of 97-116 (45.5% win rate) and has won 0 WTA titles.
Smashrs tracks Xin'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.
