WTA Tour
WTA World Ranking - 590 pts
💥 Big Hitter
Overpowers opponents with raw shot speed and aggressive ball-striking. Generates winners from both wings and keeps points short with high-risk, high-reward tennis.
Strong against
Weak against
Age
34
Height
6'0" (184 cm)
Plays
Right-Handed
366
Wins
191
Losses
65.7%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 12/5 | 9/3 | 3/2 | - |
| 2024 | 20/15 | 1/3 | 15/9 | 4/3 |
| 2023 | 16/19 | 2/3 | 14/13 | 0/3 |
| 2022 | 21/19 | 6/6 | 12/10 | 3/3 |
| 2021 | 36/19 | 8/4 | 22/12 | 6/3 |
| 2020 | 14/7 | 5/1 | 9/6 | - |
| 2019 | 46/17 | 8/3 | 29/12 | 9/2 |
| 2018 | 53/23 | 12/4 | 36/16 | 5/3 |
| 2017 | 51/18 | 9/5 | 37/12 | 5/1 |
| 2016 | 44/23 | 6/5 | 28/15 | 10/3 |
| 2015 | 53/26 | 7/3 | 40/20 | 6/3 |
| Career | 366/191 | 73/40 | 245/127 | 48/24 |
Averages · Last 90 days (12 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 5, 2026 | Rome | Round of 16 | Elena Rybakina | Clay | 06 26 | L |
| May 5, 2026 | Rome | Round of 128 | Jessica Bouzas Maneiro | Clay | 46 63 75 | W |
| May 5, 2026 | Rome | Round of 32 | Laura Siegemund | Clay | 61 64 | W |
| May 5, 2026 | Rome | Round of 64 | Jaqueline Cristian | Clay | 67 76 64 | W |
| Apr 21, 2026 | Madrid | Round of 64 | Maria Sakkari | Clay | 64 76 | W |
| Apr 21, 2026 | Madrid | Round of 128 | Sinja Kraus | Clay | 26 61 64 | W |
| Apr 21, 2026 | Madrid | Round of 16 | Solana Sierra | Clay | 64 63 | W |
| Apr 21, 2026 | Madrid | Quarterfinals | Anastasia Potapova | Clay | 16 76 36 | L |
| Apr 21, 2026 | Madrid | Round of 32 | Elise Mertens | Clay | 75 26 76 | W |
| Apr 6, 2026 | Linz | Quarterfinals | Donna Vekic | Clay | 57 46 | L |
Karolina Pliskova is currently ranked #130 in the WTA singles rankings with 590 points.
Karolina Pliskova (WTA #130) has a career win-loss record of 366-191 (65.7% win rate) and has won 0 WTA titles.
Smashrs tracks Karolina'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.
