WTA Tour
WTA World Ranking - 1,355 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
25
Height
5'9" (175 cm)
Plays
Right-Handed
157
Wins
118
Losses
57.1%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 17/9 | 11/3 | 6/6 | - |
| 2025 | 21/15 | 6/3 | 15/11 | 0/1 |
| 2024 | 27/20 | 6/5 | 18/13 | 3/2 |
| 2023 | 28/17 | 7/4 | 16/11 | 5/2 |
| 2022 | 23/17 | 11/3 | 12/13 | 0/1 |
| 2021 | 13/17 | 1/3 | 10/12 | 2/2 |
| 2020 | 6/4 | - | 6/4 | - |
| 2019 | 14/13 | 7/4 | 6/8 | 1/1 |
| 2018 | 8/6 | 3/1 | 5/5 | - |
| Career | 157/118 | 52/26 | 94/83 | 11/9 |
Averages · Last 90 days (16 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 5, 2026 | Rome | Round of 64 | Karolina Muchova | Clay | 63 62 | W |
| May 5, 2026 | Rome | Round of 32 | Liudmila Samsonova | Clay | 63 62 | W |
| May 5, 2026 | Rome | Round of 16 | Jessica Pegula | Clay | 67 26 | L |
| May 5, 2026 | Rome | Round of 128 | Dalma Galfi | Clay | 57 62 64 | W |
| Apr 21, 2026 | Madrid | Round of 32 | Jelena Ostapenko | Clay | 46 64 64 | W |
| Apr 21, 2026 | Madrid | Quarterfinals | Karolina Pliskova | Clay | 61 67 63 | W |
| Apr 21, 2026 | Madrid | Semifinals | Marta Kostyuk | Clay | 26 61 16 | L |
| Apr 21, 2026 | Madrid | Round of 16 | Elena Rybakina | Clay | 76 64 | W |
| Apr 21, 2026 | Madrid | Round of 64 | Shuai Zhang | Clay | 63 61 | W |
| Apr 6, 2026 | Linz | Round of 32 | Shuai Zhang | Clay | 64 64 | W |
French Open
Anastasia Potapova is currently ranked #38 in the WTA singles rankings with 1,355 points.
Anastasia Potapova (WTA #38) has a career win-loss record of 157-118 (57.1% win rate) and has won 0 WTA titles.
Smashrs tracks Anastasia'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.
