WTA Tour
WTA World Ranking - 0 pts
🤖 Servebot
Lives and dies by the serve. Racks up free points with aces and unreturnable deliveries, holding serve with ease. Return games are the weaker side, making break points critical.
Strong against
Weak against
Age
28
Plays
Right-Handed
63
Wins
77
Losses
45%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2025 | 0/1 | - | 0/1 | - |
| 2024 | 1/1 | - | 1/1 | - |
| 2023 | 10/11 | 0/1 | 7/8 | 3/2 |
| 2022 | 1/5 | - | 1/5 | - |
| 2021 | 8/8 | 1/2 | 7/6 | - |
| 2020 | 4/9 | 1/2 | 3/7 | - |
| 2019 | 21/22 | 9/8 | 12/11 | 0/3 |
| 2018 | 17/18 | 2/4 | 12/11 | 3/3 |
| 2017 | 1/2 | - | 1/2 | - |
| Career | 63/77 | 13/17 | 44/52 | 6/8 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Feb 24, 2025 | W50+H Macon | Round of 32 | Tiantsoa Sarah Rakotomanga Rajaonah | Hard | 06 64 46 | L |
| Nov 13, 2024 | BJK Cup Finals | Final | Lucia Bronzetti | Hard | 26 46 | L |
| Apr 12, 2024 | BJK Cup Qualifiers | Round Robin | Veronika Erjavec | Hard | 61 57 63 | W |
| Nov 10, 2023 | BJK Cup Playoffs | Round Robin | Julia Riera | Hard | 36 64 64 | W |
| Nov 10, 2023 | BJK Cup Playoffs | Round Robin | Nadia Podoroska | Hard | 36 63 63 | W |
| Oct 16, 2023 | Nanchang | Round of 32 | Aliaksandra Sasnovich | Hard | 16 36 | L |
| Oct 9, 2023 | Seoul | Round of 32 | Jessica Pegula | Hard | 26 46 | L |
| Sep 25, 2023 | Ningbo | Round of 32 | Anna Blinkova | Hard | 36 57 | L |
| Sep 18, 2023 | Guangzhou | Round of 16 | Yue Yuan | Hard | 76 57 64 | W |
| Sep 18, 2023 | Guangzhou | Round of 32 | Anna Kalinskaya | Hard | 76 36 63 | W |
Viktoria Hruncakova is currently ranked #9999 in the WTA singles rankings with 0 points.
Viktoria Hruncakova (WTA #9999) has a career win-loss record of 63-77 (45% win rate) and has won 0 WTA titles.
Smashrs tracks Viktoria'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.