WTA Tour
WTA World Ranking - 10,110 pts
👑 The Complete Package
Elite across every dimension - dominant serve, elite return game, and the mental toughness to close out tight matches. These players impose their will regardless of surface or opponent style.
Strong against
Weak against
Age
28
Height
5'12" (182 cm)
Plays
Right-Handed
399
Wins
143
Losses
73.6%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 27/3 | 4/2 | 23/1 | - |
| 2025 | 57/12 | 17/3 | 33/7 | 7/2 |
| 2024 | 60/13 | 14/4 | 45/9 | 1/0 |
| 2023 | 55/14 | 14/3 | 35/9 | 6/2 |
| 2022 | 32/21 | 9/5 | 19/14 | 4/2 |
| 2021 | 44/18 | 12/3 | 25/12 | 7/3 |
| 2020 | 28/10 | 6/3 | 22/7 | - |
| 2019 | 34/22 | 5/5 | 27/13 | 2/4 |
| 2018 | 50/22 | 4/5 | 39/13 | 7/4 |
| 2017 | 12/8 | - | 11/7 | 1/1 |
| Career | 399/143 | 85/33 | 279/92 | 35/18 |
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 32 | Sorana Cirstea | Clay | 62 36 57 | L |
| May 5, 2026 | Rome | Round of 64 | Barbora Krejcikova | Clay | 62 63 | W |
| Apr 21, 2026 | Madrid | Round of 32 | Jaqueline Cristian | Clay | 61 64 | W |
| Apr 21, 2026 | Madrid | Quarterfinals | Hailey Baptiste | Clay | 62 26 67 | L |
| Apr 21, 2026 | Madrid | Round of 16 | Naomi Osaka | Clay | 67 63 62 | W |
| Apr 21, 2026 | Madrid | Round of 64 | Peyton Stearns | Clay | 75 63 | W |
| Mar 17, 2026 | Miami | Round of 64 | Ann Li | Hard | 76 64 | W |
| Mar 17, 2026 | Miami | Round of 32 | Caty Mcnally | Hard | 64 62 | W |
| Mar 17, 2026 | Miami | Quarterfinals | Hailey Baptiste | Hard | 64 64 | W |
| Mar 17, 2026 | Miami | Final | Coco Gauff | Hard | 62 46 63 | W |
French Open
Aryna Sabalenka is currently ranked #1 in the WTA singles rankings with 10,110 points.
Aryna Sabalenka (WTA #1) has a career win-loss record of 399-143 (73.6% win rate) and has won 0 WTA titles.
Smashrs tracks Aryna'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.
