WTA Tour
WTA World Ranking - 1,796 pts
🏹 Frontrunner
Excels when dictating play and building early leads. Gets ahead with aggressive opening sets and uses confidence-driven momentum to close matches before opponents can settle in.
Strong against
Weak against
Age
23
Height
5'6" (168 cm)
Plays
Left-Handed
154
Wins
119
Losses
56.4%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 11/13 | 8/5 | 3/8 | - |
| 2025 | 30/23 | 1/4 | 25/15 | 4/4 |
| 2024 | 30/24 | 6/6 | 17/15 | 7/3 |
| 2023 | 30/20 | 3/5 | 25/13 | 2/2 |
| 2022 | 18/13 | 6/4 | 12/9 | - |
| 2021 | 23/14 | 3/3 | 19/9 | 1/2 |
| 2020 | 11/8 | 2/1 | 9/7 | - |
| 2019 | 0/3 | 0/1 | 0/2 | - |
| 2018 | 1/1 | - | 1/1 | - |
| Career | 154/119 | 29/29 | 111/79 | 14/11 |
Averages · Last 90 days (16 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 17, 2026 | Strasbourg | Quarterfinals | Victoria Mboko | Clay | 46 46 | L |
| May 17, 2026 | Strasbourg | Round of 16 | Magdalena Frech | Clay | 64 36 64 | W |
| May 17, 2026 | Strasbourg | Round of 32 | Leolia Jeanjean | Clay | 61 75 | W |
| May 5, 2026 | Rome | Round of 64 | Rebeka Masarova | Clay | 64 46 46 | L |
| Apr 21, 2026 | Madrid | Round of 32 | Iva Jovic | Clay | 36 63 62 | W |
| Apr 21, 2026 | Madrid | Round of 16 | Ann Li | Clay | 63 62 | W |
| Apr 21, 2026 | Madrid | Quarterfinals | Mirra Andreeva | Clay | 67 36 | L |
| Apr 21, 2026 | Madrid | Round of 64 | Julia Grabher | Clay | 62 63 | W |
| Apr 13, 2026 | Stuttgart | Round of 16 | Zeynep Sonmez | Clay | 67 61 76 | W |
| Apr 13, 2026 | Stuttgart | Quarterfinals | Elena Rybakina | Clay | 76 46 67 | L |
Leylah Fernandez is currently ranked #24 in the WTA singles rankings with 1,796 points.
Leylah Fernandez (WTA #24) has a career win-loss record of 154-119 (56.4% win rate) and has won 0 WTA titles.
Smashrs tracks Leylah'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.
