WTA Tour
WTA World Ranking - 0 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
35
Height
5'4" (163 cm)
Plays
Right-Handed
33
Wins
55
Losses
37.5%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2023 | 0/5 | 0/2 | 0/3 | - |
| 2022 | 4/8 | 1/2 | 2/5 | 1/1 |
| 2021 | 10/8 | 7/3 | 3/5 | - |
| 2020 | 0/1 | - | 0/1 | - |
| 2019 | 1/4 | 1/2 | 0/2 | - |
| 2018 | 2/5 | 0/3 | 2/2 | - |
| 2017 | 3/11 | 1/5 | 1/3 | 1/3 |
| 2016 | 12/9 | 6/4 | 6/5 | - |
| 2015 | 1/4 | 1/3 | 0/1 | - |
| Career | 33/55 | 17/24 | 14/27 | 2/4 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Oct 16, 2023 | Monastir | Round of 32 | Lucia Bronzetti | Hard | 16 16 | L |
| Jul 24, 2023 | Warsaw | Round of 32 | Viktoria Hruncakova | Hard | 57 36 | L |
| Jul 17, 2023 | Budapest | Round of 32 | Kaja Juvan | Clay | 57 26 | L |
| May 29, 2023 | Roland Garros | Round of 128 | Aliona Bolsova | Clay | 26 16 | L |
| Jan 16, 2023 | Australian Open | Round of 128 | Diana Shnaider | Hard | 67 57 | L |
| Jun 27, 2022 | Wimbledon | Round of 128 | Laura Pigossi | Grass | 75 60 | W |
| Jun 27, 2022 | Wimbledon | Round of 64 | Petra Martic | Grass | 67 36 | L |
| May 23, 2022 | Roland Garros | Round of 128 | Anna Karolina Schmiedlova | Clay | 64 67 26 | L |
| May 16, 2022 | Rabat | Round of 16 | Anna Bondar | Clay | 36 36 | L |
| May 16, 2022 | Rabat | Round of 32 | Catherine Harrison | Clay | 62 60 | W |
Kristina Kucova is currently ranked #9999 in the WTA singles rankings with 0 points.
Kristina Kucova (WTA #9999) has a career win-loss record of 33-55 (37.5% win rate) and has won 0 WTA titles.
Smashrs tracks Kristina'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.
