WTA Tour
WTA World Ranking - 0 pts
🧱 The Wall
An impenetrable defender who retrieves everything and forces opponents into errors. Rarely beats themselves, with an elite return game that makes every service game a battle.
Strong against
Weak against
Age
33
Height
6'0" (184 cm)
Plays
Right-Handed
176
Wins
181
Losses
49.3%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2024 | 1/3 | 1/2 | 0/1 | - |
| 2023 | 0/4 | 0/2 | 0/2 | - |
| 2022 | 3/8 | 2/4 | 1/3 | 0/1 |
| 2021 | 17/23 | 3/6 | 11/14 | 3/3 |
| 2020 | 4/9 | 0/2 | 4/7 | - |
| 2019 | 29/23 | 7/5 | 19/15 | 3/3 |
| 2018 | 21/26 | 3/4 | 14/19 | 4/3 |
| 2017 | 37/27 | 14/4 | 17/19 | 6/4 |
| 2016 | 31/32 | 7/7 | 17/21 | 7/4 |
| 2015 | 33/26 | 9/4 | 16/19 | 8/3 |
| Career | 176/181 | 46/40 | 99/120 | 31/21 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Nov 25, 2024 | Buenos Aires 125 | Round of 32 | Carolina Alves | Clay | 76 61 | W |
| Nov 25, 2024 | Buenos Aires 125 | Round of 16 | Mayar Sherif | Clay | 26 26 | L |
| Sep 9, 2024 | Monastir | Round of 32 | Ann Li | Hard | 26 16 | L |
| May 27, 2024 | Roland Garros | Round of 128 | Petra Martic | Clay | 46 46 | L |
| Sep 18, 2023 | Guadalajara | Round of 64 | Cristina Bucsa | Hard | 06 06 | L |
| May 29, 2023 | Roland Garros | Round of 128 | Kayla Day | Clay | 57 16 | L |
| May 22, 2023 | Rabat | Round of 32 | Julia Riera | Clay | 36 06 | L |
| Jan 30, 2023 | Lyon | Round of 32 | Petra Martic | Hard | 63 36 57 | L |
| Sep 19, 2022 | Seoul | Round of 16 | Magda Linette | Hard | 64 67 26 | L |
| Sep 19, 2022 | Seoul | Round of 32 | Sohyun Park | Hard | 64 46 63 | W |
Kristina Mladenovic is currently ranked #9999 in the WTA singles rankings with 0 points.
Kristina Mladenovic (WTA #9999) has a career win-loss record of 176-181 (49.3% 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.
