WTA Tour
WTA World Ranking - 201 pts
🎾 All-Court
Comfortable at every position on the court - baseline, net, or in transition. Adapts tactics match by match and point by point, making them unpredictable and difficult to game-plan against.
Strong against
Weak against
Age
41
Height
5'8" (172 cm)
Plays
Right-Handed
43
Wins
54
Losses
44.3%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 1/2 | 0/1 | 1/1 | - |
| 2023 | 3/7 | 0/1 | 3/5 | 0/1 |
| 2022 | 3/8 | - | 3/8 | - |
| 2021 | 11/9 | 3/3 | 7/5 | 1/1 |
| 2020 | 4/6 | 0/1 | 4/5 | - |
| 2019 | 3/6 | 0/4 | 3/2 | - |
| 2018 | 8/9 | 1/2 | 7/6 | 0/1 |
| 2017 | 3/0 | - | 3/0 | - |
| 2015 | 7/7 | - | 7/7 | - |
| Career | 43/54 | 4/12 | 38/39 | 1/3 |
Averages · Last 90 days (1 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 18, 2026 | Rabat | Round of 32 | Petra Marcinko | Clay | 26 46 | L |
| Feb 8, 2026 | Doha | Round of 32 | Victoria Mboko | Hard | 46 46 | L |
| Feb 8, 2026 | Doha | Round of 64 | Peyton Stearns | Hard | 26 62 63 | W |
| Oct 16, 2023 | Nanchang | Round of 32 | Arianne Hartono | Hard | 61 62 | W |
| Oct 9, 2023 | Zhengzhou | Round of 16 | Anhelina Kalinina | Hard | 57 16 | L |
| Oct 9, 2023 | Zhengzhou | Round of 32 | Veronika Kudermetova | Hard | 62 76 | W |
| Oct 2, 2023 | Beijing | Round of 64 | Xin Yu Wang | Hard | 46 36 | L |
| Sep 25, 2023 | Ningbo | Round of 32 | Katie Boulter | Hard | 64 46 76 | W |
| Sep 25, 2023 | Ningbo | Quarterfinals | Ons Jabeur | Hard | 57 64 16 | L |
| Aug 28, 2023 | Us Open | Round of 128 | Yanina Wickmayer | Hard | 46 46 | L |
Vera Zvonareva is currently ranked #326 in the WTA singles rankings with 201 points.
Vera Zvonareva (WTA #326) has a career win-loss record of 43-54 (44.3% win rate) and has won 0 WTA titles.
Smashrs tracks Vera'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.
