WTA Tour
WTA World Ranking - 8,555 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
26
Height
6'0" (184 cm)
Plays
Right-Handed
289
Wins
109
Losses
72.6%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 29/6 | 9/2 | 20/4 | - |
| 2025 | 52/18 | 9/3 | 38/12 | 5/3 |
| 2024 | 43/11 | 12/2 | 26/8 | 5/1 |
| 2023 | 41/13 | 6/1 | 31/10 | 4/2 |
| 2022 | 37/18 | 8/5 | 21/11 | 8/2 |
| 2021 | 33/21 | 6/3 | 20/15 | 7/3 |
| 2020 | 29/10 | 7/3 | 22/7 | - |
| 2019 | 22/9 | 8/3 | 11/5 | 3/1 |
| 2018 | 3/2 | 1/1 | 2/1 | - |
| 2017 | 0/1 | - | 0/1 | - |
| Career | 289/109 | 66/23 | 191/74 | 32/12 |
Averages · Last 90 days (21 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 5, 2026 | Rome | Round of 64 | Maria Sakkari | Clay | 64 61 | W |
| May 5, 2026 | Rome | Round of 16 | Karolina Pliskova | Clay | 60 62 | W |
| May 5, 2026 | Rome | Quarterfinals | Elina Svitolina | Clay | 62 46 46 | L |
| May 5, 2026 | Rome | Round of 32 | Alexandra Eala | Clay | 64 63 | W |
| Apr 21, 2026 | Madrid | Round of 16 | Anastasia Potapova | Clay | 67 46 | L |
| Apr 21, 2026 | Madrid | Round of 32 | Qinwen Zheng | Clay | 46 64 63 | W |
| Apr 21, 2026 | Madrid | Round of 64 | Elena Gabriela Ruse | Clay | 46 63 75 | W |
| Apr 13, 2026 | Stuttgart | Semifinals | Mirra Andreeva | Clay | 75 61 | W |
| Apr 13, 2026 | Stuttgart | Round of 16 | Diana Shnaider | Clay | 63 64 | W |
| Apr 13, 2026 | Stuttgart | Final | Karolina Muchova | Clay | 75 61 | W |
French Open
Elena Rybakina is currently ranked #2 in the WTA singles rankings with 8,555 points.
Elena Rybakina (WTA #2) has a career win-loss record of 289-109 (72.6% win rate) and has won 0 WTA titles.
Smashrs tracks Elena'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.
