WTA Tour
WTA World Ranking - 0 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
35
Height
5'7" (170 cm)
Plays
Right-Handed
7
Wins
30
Losses
18.9%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2025 | 0/1 | - | 0/1 | - |
| 2022 | 2/2 | - | 2/1 | 0/1 |
| 2021 | 1/5 | 1/1 | 0/2 | 0/2 |
| 2020 | 0/5 | 0/1 | 0/4 | - |
| 2019 | 0/4 | 0/2 | 0/1 | 0/1 |
| 2018 | 2/2 | - | 0/1 | 2/1 |
| 2017 | 0/1 | - | 0/1 | - |
| 2016 | 0/3 | 0/1 | 0/2 | - |
| 2015 | 2/7 | 1/2 | 1/4 | 0/1 |
| Career | 7/30 | 2/7 | 3/17 | 2/6 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Sep 8, 2025 | Sao Paulo | Round of 32 | Julia Riera | Hard | 36 67 | L |
| Jul 25, 2022 | Prague | Round of 32 | Lin Zhu | Hard | 16 16 | L |
| Jun 6, 2022 | s Hertogenbosch | Round of 32 | Shelby Rogers | Grass | 26 46 | L |
| Feb 28, 2022 | Lyon | Round of 16 | Viktorija Golubic | Hard | 76 46 64 | W |
| Feb 28, 2022 | Lyon | Round of 32 | Anna Lena Friedsam | Hard | 63 26 64 | W |
| Oct 25, 2021 | Courmayeur | Round of 32 | Dayana Yastremska | Hard | 36 16 | L |
| Jul 19, 2021 | Palermo | Round of 32 | Julia Grabher | Clay | 63 76 | W |
| Jul 19, 2021 | Palermo | Round of 16 | Oceane Dodin | Clay | 67 46 | L |
| Jul 12, 2021 | Prague | Round of 32 | Nina Stojanovic | Hard | 76 16 36 | L |
| Jun 28, 2021 | Wimbledon | Round of 128 | Emma Raducanu | Grass | 67 06 | L |
Vitalia Diatchenko is currently ranked #9999 in the WTA singles rankings with 0 points.
Vitalia Diatchenko (WTA #9999) has a career win-loss record of 7-30 (18.9% win rate) and has won 0 WTA titles.
Smashrs tracks Vitalia'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.