WTA Tour
WTA World Ranking - 483 pts
🏃 Pusher
The ultimate frustrator - keeps the ball in play at all costs, forcing opponents to generate their own winners. Wins by attrition and opponents' impatience rather than outright power.
Strong against
Weak against
Age
39
Height
5'11" (180 cm)
Plays
Left-Handed
61
Wins
99
Losses
38.1%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 2/2 | 2/1 | 0/1 | - |
| 2025 | 0/2 | 0/1 | 0/1 | - |
| 2024 | 2/6 | 1/2 | 1/4 | - |
| 2021 | 2/5 | 2/3 | 0/2 | - |
| 2020 | 0/2 | 0/1 | 0/1 | - |
| 2019 | 2/10 | 2/5 | 0/3 | 0/2 |
| 2018 | 6/13 | 1/3 | 5/9 | 0/1 |
| 2017 | 17/21 | 5/4 | 10/13 | 2/4 |
| 2016 | 13/17 | 3/3 | 9/11 | 1/3 |
| 2015 | 17/21 | 1/4 | 16/13 | 0/4 |
| Career | 61/99 | 17/27 | 41/58 | 3/14 |
Averages · Last 90 days (3 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Mar 30, 2026 | Bogota | Quarterfinals | Emiliana Arango | Clay | 46 36 | L |
| Mar 30, 2026 | Bogota | Round of 32 | Lia Karatancheva | Clay | 36 63 62 | W |
| Mar 30, 2026 | Bogota | Round of 16 | Jessica Bouzas Maneiro | Clay | 60 26 75 | W |
| Feb 23, 2026 | Merida | Round of 32 | Shuai Zhang | Hard | 26 16 | L |
| Mar 31, 2025 | Bogota | Round of 32 | Hanna Chang | Clay | 64 16 26 | L |
| Mar 5, 2025 | Indian Wells | Round of 128 | Sonay Kartal | Hard | 67 26 | L |
| Nov 25, 2024 | Buenos Aires 125 | Round of 32 | Katarzyna Kawa | Clay | 62 26 46 | L |
| Oct 28, 2024 | Merida | Round of 32 | Tamara Zidansek | Hard | 62 62 | W |
| Oct 28, 2024 | Merida | Round of 16 | Polina Kudermetova | Hard | 36 46 | L |
| Oct 14, 2024 | Ningbo | Round of 32 | Mirra Andreeva | Hard | 26 06 | L |
Varvara Lepchenko is currently ranked #155 in the WTA singles rankings with 483 points.
Varvara Lepchenko (WTA #155) has a career win-loss record of 61-99 (38.1% 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.
