WTA Tour
WTA World Ranking - 1,920 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
23
Height
5'12" (182 cm)
Plays
Right-Handed
97
Wins
73
Losses
57.1%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 8/7 | 0/1 | 8/6 | - |
| 2025 | 30/20 | 3/5 | 21/12 | 6/3 |
| 2024 | 18/17 | 4/3 | 14/12 | 0/2 |
| 2023 | 9/6 | 2/1 | 7/5 | - |
| 2022 | 7/8 | 0/1 | 7/7 | - |
| 2021 | 19/9 | 3/3 | 16/4 | 0/2 |
| 2020 | 4/2 | 1/1 | 3/1 | - |
| 2019 | 0/3 | 0/1 | 0/2 | - |
| 2018 | 2/1 | 2/1 | - | - |
| Career | 97/73 | 15/17 | 76/49 | 6/7 |
Averages · Last 90 days (3 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 17, 2026 | Strasbourg | Round of 16 | Jaqueline Cristian | Clay | 16 57 | L |
| Mar 4, 2026 | Indian Wells | Round of 32 | Talia Gibson | Hard | 67 64 46 | L |
| Mar 4, 2026 | Indian Wells | Round of 64 | Yulia Putintseva | Hard | 76 62 | W |
| Feb 15, 2026 | Dubai | Round of 16 | Magda Linette | Hard | 64 62 | W |
| Feb 15, 2026 | Dubai | Round of 64 | Sofia Kenin | Hard | 76 62 | W |
| Feb 15, 2026 | Dubai | Round of 32 | Peyton Stearns | Hard | 62 64 | W |
| Feb 15, 2026 | Dubai | Quarterfinals | Jessica Pegula | Hard | 36 62 46 | L |
| Feb 8, 2026 | Doha | Round of 64 | Katerina Siniakova | Hard | 46 16 | L |
| Feb 1, 2026 | Abu Dhabi | Quarterfinals | Mccartney Kessler | Hard | 63 64 | W |
| Feb 1, 2026 | Abu Dhabi | Round of 16 | Simona Waltert | Hard | 63 61 | W |
French Open
Clara Tauson is currently ranked #21 in the WTA singles rankings with 1,920 points.
Clara Tauson (WTA #21) has a career win-loss record of 97-73 (57.1% win rate) and has won 0 WTA titles.
Smashrs tracks Clara'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.