WTA Tour
WTA World Ranking - 1,722 pts
🪃 Counterpuncher
Turns defense into offense. Absorbs pace, redirects with precision, and thrives in long rallies by letting opponents beat themselves. Excels at converting break points when they matter most.
Strong against
Weak against
Age
23
Height
5'9" (175 cm)
Plays
Right-Handed
144
Wins
110
Losses
56.7%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 17/4 | 11/0 | 6/4 | - |
| 2025 | 25/17 | 6/3 | 19/11 | 0/3 |
| 2024 | 34/20 | 8/5 | 24/12 | 2/3 |
| 2023 | 22/20 | 1/3 | 20/15 | 1/2 |
| 2022 | 16/19 | 1/4 | 12/13 | 3/2 |
| 2021 | 20/16 | 7/3 | 11/10 | 2/3 |
| 2020 | 2/5 | 0/2 | 2/3 | - |
| 2019 | 4/3 | 2/2 | 2/1 | - |
| 2018 | 4/6 | 1/2 | 2/2 | 1/2 |
| Career | 144/110 | 37/24 | 98/71 | 9/15 |
Averages · Last 90 days (15 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Apr 21, 2026 | Madrid | Round of 16 | Caty Mcnally | Clay | 62 63 | W |
| Apr 21, 2026 | Madrid | Semifinals | Anastasia Potapova | Clay | 62 16 61 | W |
| Apr 21, 2026 | Madrid | Final | Mirra Andreeva | Clay | 63 75 | W |
| Apr 21, 2026 | Madrid | Round of 32 | Jessica Pegula | Clay | 61 64 | W |
| Apr 21, 2026 | Madrid | Round of 64 | Yulia Putintseva | Clay | 61 63 | W |
| Apr 21, 2026 | Madrid | Quarterfinals | Linda Noskova | Clay | 76 60 | W |
| Apr 13, 2026 | Rouen | Round of 32 | Diane Parry | Clay | 61 64 | W |
| Apr 13, 2026 | Rouen | Quarterfinals | Ann Li | Clay | 60 67 63 | W |
| Apr 13, 2026 | Rouen | Round of 16 | Caty Mcnally | Clay | 26 62 61 | W |
| Apr 13, 2026 | Rouen | Final | Veronika Podrez | Clay | 63 64 | W |
Marta Kostyuk is currently ranked #23 in the WTA singles rankings with 1,722 points.
Marta Kostyuk (WTA #23) has a career win-loss record of 144-110 (56.7% win rate) and has won 0 WTA titles.
Smashrs tracks Marta'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.
