WTA Tour
WTA World Ranking - 680 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
29
Plays
Right-Handed
50
Wins
53
Losses
48.5%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 2/6 | - | 2/6 | - |
| 2025 | 21/25 | 2/4 | 14/17 | 5/4 |
| 2024 | 21/11 | 5/3 | 16/7 | 0/1 |
| 2023 | 2/2 | 0/1 | 2/1 | - |
| 2022 | 0/1 | 0/1 | - | - |
| 2021 | 1/1 | - | 1/1 | - |
| 2020 | 0/1 | 0/1 | - | - |
| 2019 | 0/2 | - | 0/2 | - |
| 2018 | 0/1 | 0/1 | - | - |
| 2017 | 3/3 | 3/2 | 0/1 | - |
| Career | 50/53 | 10/13 | 35/35 | 5/5 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Feb 23, 2026 | Austin | Round of 32 | Yue Yuan | Hard | 64 57 16 | L |
| Feb 15, 2026 | Dubai | Round of 64 | Varvara Gracheva | Hard | 57 61 46 | L |
| Feb 1, 2026 | Ostrava | Round of 16 | Linda Fruhvirtova | Hard | 36 16 | L |
| Feb 1, 2026 | Ostrava | Round of 32 | Vendula Valdmannova | Hard | 62 63 | W |
| Jan 19, 2026 | Australian Open | Round of 128 | Jelena Ostapenko | Hard | 46 46 | L |
| Jan 12, 2026 | Hobart | Round of 16 | Taylah Preston | Hard | 46 16 | L |
| Jan 12, 2026 | Hobart | Round of 32 | Varvara Gracheva | Hard | 64 46 62 | W |
| Jan 4, 2026 | Brisbane | Round of 64 | Kimberly Birrell | Hard | 46 63 36 | L |
| Oct 13, 2025 | Osaka | Round of 16 | Ann Li | Hard | 62 36 63 | W |
| Oct 13, 2025 | Osaka | Round of 32 | Joanna Garland | Hard | 63 61 | W |
French Open
Rebecca Sramkova is currently ranked #118 in the WTA singles rankings with 680 points.
Rebecca Sramkova (WTA #118) has a career win-loss record of 50-53 (48.5% win rate) and has won 0 WTA titles.
Smashrs tracks Rebecca'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.
