WTA Tour
WTA World Ranking - 0 pts
⚔️ The Gladiator
A fierce competitor who thrives in physical battles and tight sets. Combines solid serve and return with an unyielding fighting spirit that makes every match a war of attrition.
Strong against
Weak against
Age
32
Height
5'9" (175 cm)
Plays
Right-Handed
70
Wins
100
Losses
41.2%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2024 | 0/2 | - | 0/1 | 0/1 |
| 2023 | 8/13 | 4/3 | 4/8 | 0/2 |
| 2022 | 3/5 | 3/4 | - | 0/1 |
| 2021 | 9/11 | 5/5 | 2/4 | 2/2 |
| 2020 | 2/6 | 0/1 | 2/5 | - |
| 2019 | 13/17 | 4/3 | 9/13 | 0/1 |
| 2018 | 11/13 | 2/3 | 9/8 | 0/2 |
| 2017 | 7/12 | 2/4 | 5/8 | - |
| 2016 | 11/11 | 4/4 | 6/5 | 1/2 |
| 2015 | 6/10 | - | 6/10 | - |
| Career | 70/100 | 24/27 | 43/62 | 3/11 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Aug 26, 2024 | Us Open | Round of 128 | Elisabetta Cocciaretto | Hard | 36 06 | L |
| Jul 1, 2024 | Wimbledon | Round of 128 | Laura Siegemund | Grass | 46 16 | L |
| Oct 16, 2023 | Cluj Napoca | Round of 32 | Ekaterina Makarova | Hard | 36 61 16 | L |
| Oct 2, 2023 | Beijing | Round of 64 | Caroline Garcia | Hard | 26 46 | L |
| Sep 25, 2023 | Ningbo | Round of 32 | Yue Yuan | Hard | 36 64 63 | W |
| Sep 25, 2023 | Ningbo | Round of 16 | Lucia Bronzetti | Hard | 36 36 | L |
| Sep 18, 2023 | Guangzhou | Round of 32 | Rebeka Masarova | Hard | 57 26 | L |
| Sep 11, 2023 | Osaka | Round of 32 | Ashlyn Krueger | Hard | 26 36 | L |
| Aug 28, 2023 | Us Open | Round of 128 | Anna Karolina Schmiedlova | Hard | 46 63 36 | L |
| Jul 31, 2023 | Prague | Quarterfinals | Jaqueline Cristian | Hard | 46 61 26 | L |
Kateryna Baindl is currently ranked #9999 in the WTA singles rankings with 0 points.
Kateryna Baindl (WTA #9999) has a career win-loss record of 70-100 (41.2% 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.