WTA Tour
WTA World Ranking - 6,749 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
22
Height
5'9" (175 cm)
Plays
Right-Handed
258
Wins
106
Losses
70.9%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 21/7 | 8/3 | 13/4 | - |
| 2025 | 43/16 | 18/3 | 25/11 | 0/2 |
| 2024 | 56/17 | 14/5 | 38/10 | 4/2 |
| 2023 | 50/16 | 7/4 | 39/9 | 4/3 |
| 2022 | 37/21 | 10/4 | 22/15 | 5/2 |
| 2021 | 31/16 | 14/4 | 13/10 | 4/2 |
| 2020 | 10/8 | 2/2 | 8/6 | - |
| 2019 | 10/5 | - | 7/4 | 3/1 |
| Career | 258/106 | 73/25 | 165/69 | 20/12 |
Averages · Last 90 days (18 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 5, 2026 | Rome | Round of 64 | Tereza Valentova | Clay | 63 64 | W |
| May 5, 2026 | Rome | Quarterfinals | Mirra Andreeva | Clay | 46 62 64 | W |
| May 5, 2026 | Rome | Round of 16 | Iva Jovic | Clay | 57 75 62 | W |
| May 5, 2026 | Rome | Final | Elina Svitolina | Clay | 46 76 26 | L |
| May 5, 2026 | Rome | Round of 32 | Solana Sierra | Clay | 57 60 64 | W |
| May 5, 2026 | Rome | Semifinals | Sorana Cirstea | Clay | 64 63 | W |
| Apr 21, 2026 | Madrid | Round of 32 | Sorana Cirstea | Clay | 46 75 61 | W |
| Apr 21, 2026 | Madrid | Round of 64 | Leolia Jeanjean | Clay | 63 60 | W |
| Apr 21, 2026 | Madrid | Round of 16 | Linda Noskova | Clay | 46 61 67 | L |
| Apr 13, 2026 | Stuttgart | Round of 16 | Liudmila Samsonova | Clay | 75 61 | W |
French Open
Coco Gauff is currently ranked #4 in the WTA singles rankings with 6,749 points.
Coco Gauff (WTA #4) has a career win-loss record of 258-106 (70.9% win rate) and has won 0 WTA titles.
Smashrs tracks Coco'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.
