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
36
Height
5'9" (174 cm)
Plays
Right-Handed
152
Wins
127
Losses
54.5%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2024 | 11/16 | 1/2 | 10/13 | 0/1 |
| 2023 | 21/10 | 7/3 | 11/6 | 3/1 |
| 2022 | 10/6 | 3/1 | 2/3 | 5/2 |
| 2021 | 5/9 | 1/0 | 4/9 | - |
| 2020 | 1/2 | 1/0 | 0/2 | - |
| 2019 | 9/14 | 2/4 | 5/6 | 2/4 |
| 2018 | 30/16 | 3/2 | 24/13 | 3/1 |
| 2017 | 20/24 | 3/7 | 12/13 | 5/4 |
| 2016 | 24/16 | 4/4 | 19/9 | 1/3 |
| 2015 | 21/14 | 1/1 | 19/10 | 1/3 |
| Career | 152/127 | 26/24 | 106/84 | 20/19 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Oct 7, 2024 | Wuhan | Round of 64 | Katie Boulter | Hard | 62 75 | W |
| Sep 25, 2024 | Beijing | Round of 128 | Viktoriya Tomova | Hard | 36 36 | L |
| Sep 16, 2024 | Hua Hin 2 | Round of 32 | Magda Linette | Hard | 26 57 | L |
| Sep 9, 2024 | Monastir | Round of 32 | Eva Lys | Hard | 36 57 | L |
| Aug 26, 2024 | Us Open | Round of 128 | Peyton Stearns | Hard | 16 57 | L |
| Aug 5, 2024 | Toronto | Round of 64 | Bianca Andreescu | Hard | 06 63 64 | W |
| Aug 5, 2024 | Toronto | Round of 32 | Anna Kalinskaya | Hard | 26 26 | L |
| Jul 29, 2024 | Washington | Round of 32 | Caroline Dolehide | Hard | 16 63 46 | L |
| Jul 1, 2024 | Wimbledon | Round of 128 | Varvara Gracheva | Grass | 36 16 | L |
| May 6, 2024 | Rome | Round of 128 | Donna Vekic | Clay | 62 36 76 | W |
Lesia Tsurenko is currently ranked #9999 in the WTA singles rankings with 0 points.
Lesia Tsurenko (WTA #9999) has a career win-loss record of 152-127 (54.5% win rate) and has won 0 WTA titles.
Smashrs tracks Lesia'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.
