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
39
Height
5'9" (175 cm)
Plays
Right-Handed
48
Wins
71
Losses
40.3%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2024 | 0/1 | - | 0/1 | - |
| 2023 | 0/2 | 0/1 | 0/1 | - |
| 2021 | 1/2 | 0/1 | 1/1 | - |
| 2020 | 5/8 | 0/2 | 5/6 | - |
| 2019 | 0/2 | - | 0/2 | - |
| 2018 | 5/12 | 1/3 | 3/7 | 1/2 |
| 2017 | 11/14 | 4/4 | 7/9 | 0/1 |
| 2016 | 18/17 | 4/4 | 12/11 | 2/2 |
| 2015 | 8/13 | 1/3 | 7/9 | 0/1 |
| Career | 48/71 | 10/18 | 35/47 | 3/6 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Aug 19, 2024 | Monterrey | Round of 32 | Lina Glushko | Hard | 36 63 36 | L |
| Oct 9, 2023 | Zhengzhou | Round of 32 | Qinwen Zheng | Hard | 46 36 | L |
| Jul 17, 2023 | Budapest | Round of 32 | Yulia Putintseva | Clay | 61 26 16 | L |
| Jul 19, 2021 | Gdynia | Round of 32 | Weronika Falkowska | Clay | 06 26 | L |
| Jan 6, 2021 | Abu Dhabi | Round of 64 | Yafan Wang | Hard | 63 36 75 | W |
| Jan 6, 2021 | Abu Dhabi | Round of 32 | Ons Jabeur | Hard | 75 36 | L |
| Sep 21, 2020 | Strasbourg | Round of 32 | Clara Burel | Clay | 63 16 46 | L |
| Sep 7, 2020 | Istanbul | Round of 32 | Danka Kovinic | Clay | 57 26 | L |
| Aug 31, 2020 | Us Open | Round of 128 | Allie Kiick | Hard | 36 63 61 | W |
| Aug 31, 2020 | Us Open | Round of 64 | Petra Martic | Hard | 36 46 | L |
Kateryna Bondarenko is currently ranked #9999 in the WTA singles rankings with 0 points.
Kateryna Bondarenko (WTA #9999) has a career win-loss record of 48-71 (40.3% win rate) and has won 0 WTA titles.
Smashrs tracks Kateryna'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.
