WTA Tour
WTA World Ranking - 1,023 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
28
Plays
Right-Handed
59
Wins
83
Losses
41.5%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 13/12 | 8/5 | 5/7 | - |
| 2025 | 10/15 | 5/3 | 5/11 | 0/1 |
| 2024 | 5/11 | 3/3 | 2/8 | - |
| 2023 | 9/16 | 6/6 | 3/9 | 0/1 |
| 2022 | 17/20 | 12/9 | 5/9 | 0/2 |
| 2021 | 2/3 | 2/1 | 0/2 | - |
| 2019 | 1/4 | 0/1 | 1/3 | - |
| 2018 | 0/1 | - | 0/1 | - |
| 2016 | 2/1 | - | 2/1 | - |
| Career | 59/83 | 36/28 | 23/51 | 0/4 |
Averages · Last 90 days (16 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 18, 2026 | Rabat | Quarterfinals | Anhelina Kalinina | Clay | 46 57 | L |
| May 18, 2026 | Rabat | Round of 16 | Emiliana Arango | Clay | 76 16 60 | W |
| May 5, 2026 | Rome | Round of 128 | Qinwen Zheng | Clay | 63 36 46 | L |
| Apr 21, 2026 | Madrid | Round of 64 | Elina Svitolina | Clay | 63 64 | W |
| Apr 21, 2026 | Madrid | Round of 32 | Laura Samson | Clay | 76 61 | W |
| Apr 21, 2026 | Madrid | Round of 16 | Mirra Andreeva | Clay | 76 36 67 | L |
| Apr 21, 2026 | Madrid | Round of 128 | Viktorija Golubic | Clay | 62 63 | W |
| Apr 13, 2026 | Rouen | Round of 16 | Oleksandra Oliynykova | Clay | 60 46 60 | W |
| Apr 13, 2026 | Rouen | Quarterfinals | Sorana Cirstea | Clay | 67 26 | L |
| Apr 13, 2026 | Rouen | Round of 32 | Harmony Tan | Clay | 62 46 60 | W |
French Open
Anna Bondar is currently ranked #58 in the WTA singles rankings with 1,023 points.
Anna Bondar (WTA #58) has a career win-loss record of 59-83 (41.5% win rate) and has won 0 WTA titles.
Smashrs tracks Anna'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.