WTA Tour
WTA World Ranking - 1,360 pts
🪃 Counterpuncher
Turns defense into offense. Absorbs pace, redirects with precision, and thrives in long rallies by letting opponents beat themselves. Excels at converting break points when they matter most.
Strong against
Weak against
Age
23
Height
5'9" (175 cm)
Plays
Right-Handed
87
Wins
63
Losses
58%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 7/6 | 0/1 | 7/5 | - |
| 2025 | 27/21 | 6/4 | 16/14 | 5/3 |
| 2024 | 19/12 | 2/2 | 10/7 | 7/3 |
| 2023 | 5/4 | 0/1 | 5/3 | - |
| 2022 | 17/15 | 6/4 | 10/10 | 1/1 |
| 2021 | 12/5 | - | 9/4 | 3/1 |
| Career | 87/63 | 14/12 | 57/43 | 16/8 |
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 32 | Diane Parry | Clay | 46 67 | L |
| Mar 4, 2026 | Indian Wells | Round of 32 | Amanda Anisimova | Hard | 16 16 | L |
| Mar 4, 2026 | Indian Wells | Round of 64 | Anastasia Zakharova | Hard | 61 63 | W |
| Feb 15, 2026 | Dubai | Round of 64 | Antonia Ruzic | Hard | 16 75 26 | L |
| Feb 1, 2026 | Cluj-Napoca | Final | Sorana Cirstea | Hard | 06 26 | L |
| Feb 1, 2026 | Cluj-Napoca | Round of 32 | Greet Minnen | Hard | 60 64 | W |
| Feb 1, 2026 | Cluj-Napoca | Quarterfinals | Maja Chwalinska | Hard | 60 64 | W |
| Feb 1, 2026 | Cluj-Napoca | Round of 16 | Kaja Juvan | Hard | 75 61 | W |
| Feb 1, 2026 | Cluj-Napoca | Semifinals | Oleksandra Oliynykova | Hard | 75 36 63 | W |
| Jan 19, 2026 | Australian Open | Round of 128 | Mananchaya Sawangkaew | Hard | 64 61 | W |
French Open
Emma Raducanu is currently ranked #37 in the WTA singles rankings with 1,360 points.
Emma Raducanu (WTA #37) has a career win-loss record of 87-63 (58% win rate) and has won 0 WTA titles.
Smashrs tracks Emma'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.
