WTA Tour
WTA World Ranking - 1,047 pts
🛡️ The Spoiler
A defensive specialist who retrieves better than a Grinder but without the elite return game of a Counterpuncher. Neutralises power hitters through court coverage and consistency - and uniquely, holds a winning record against The Complete Package.
Strong against
Weak against
Age
25
Plays
Right-Handed
83
Wins
117
Losses
41.5%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 4/7 | - | 4/7 | - |
| 2025 | 14/19 | 4/6 | 8/11 | 2/2 |
| 2024 | 15/23 | 6/7 | 8/15 | 1/1 |
| 2023 | 24/22 | 4/5 | 17/14 | 3/3 |
| 2022 | 8/18 | 4/7 | 4/11 | - |
| 2021 | 13/21 | 2/6 | 11/13 | 0/2 |
| 2020 | 3/4 | 0/2 | 3/2 | - |
| 2019 | 2/3 | 0/1 | 2/2 | - |
| Career | 83/117 | 20/34 | 57/75 | 6/8 |
Averages · Last 90 days (2 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Mar 17, 2026 | Miami | Round of 128 | Magda Linette | Hard | 62 26 06 | L |
| Mar 4, 2026 | Indian Wells | Round of 128 | Lilli Tagger | Hard | 26 46 | L |
| Feb 15, 2026 | Dubai | Round of 64 | Rebecca Sramkova | Hard | 75 16 64 | W |
| Feb 15, 2026 | Dubai | Round of 32 | Jessica Pegula | Hard | 46 06 | L |
| Feb 8, 2026 | Doha | Round of 64 | Laura Siegemund | Hard | 76 64 | W |
| Feb 8, 2026 | Doha | Round of 32 | Linda Noskova | Hard | 62 26 75 | W |
| Feb 8, 2026 | Doha | Round of 16 | Maria Sakkari | Hard | 67 06 | L |
| Jan 19, 2026 | Australian Open | Round of 64 | Elena Rybakina | Hard | 57 26 | L |
| Jan 19, 2026 | Australian Open | Round of 128 | Viktorija Golubic | Hard | 61 26 61 | W |
| Jan 12, 2026 | Hobart | Round of 32 | Rebecca Sramkova | Hard | 46 64 26 | L |
Varvara Gracheva is currently ranked #60 in the WTA singles rankings with 1,047 points.
Varvara Gracheva (WTA #60) has a career win-loss record of 83-117 (41.5% win rate) and has won 0 WTA titles.
Smashrs tracks Varvara'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.