WTA Tour
WTA World Ranking - 661 pts
⚙️ Grinder
Wears opponents down with relentless consistency and deep margins. Doesn't flash the most winners but rarely misses, extending rallies until the opponent cracks under pressure.
Strong against
Weak against
Age
29
Height
5'7" (170 cm)
Plays
Right-Handed
25
Wins
48
Losses
34.2%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 2/6 | 1/3 | 1/3 | - |
| 2025 | 1/8 | 0/2 | 1/6 | - |
| 2024 | 1/3 | 0/1 | 1/2 | - |
| 2023 | 12/16 | 10/7 | 2/7 | 0/2 |
| 2022 | 6/4 | 6/4 | - | - |
| 2021 | 0/3 | 0/2 | 0/1 | - |
| 2020 | 1/2 | - | 1/2 | - |
| 2019 | 1/1 | - | 1/1 | - |
| 2018 | 1/2 | - | 1/2 | - |
| 2017 | 0/1 | - | 0/1 | - |
| 2016 | 0/1 | 0/1 | - | - |
| 2015 | 0/1 | - | 0/1 | - |
| Career | 25/48 | 17/20 | 8/26 | 0/2 |
Averages · Last 90 days (4 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 18, 2026 | Rabat | Round of 32 | Jil Teichmann | Clay | 46 67 | L |
| Apr 21, 2026 | Madrid | Round of 128 | Paula Badosa | Clay | 76 46 60 | W |
| Apr 21, 2026 | Madrid | Round of 64 | Leylah Fernandez | Clay | 26 36 | L |
| Apr 6, 2026 | Linz | Round of 32 | Alexandra Eala | Clay | 46 36 | L |
| Feb 1, 2026 | Ostrava | Round of 32 | Alycia Parks | Hard | 67 26 | L |
| Jan 19, 2026 | Australian Open | Round of 64 | Anna Kalinskaya | Hard | 36 36 | L |
| Jan 19, 2026 | Australian Open | Round of 128 | Elisabetta Cocciaretto | Hard | 75 26 64 | W |
| Jan 5, 2026 | Auckland | Round of 32 | Sinja Kraus | Hard | 36 36 | L |
| Jul 14, 2025 | Hamburg | Round of 32 | Lois Boisson | Clay | 16 36 | L |
| May 19, 2025 | Rabat | Round of 32 | Jessica Bouzas Maneiro | Clay | 36 61 46 | L |
French Open
Julia Grabher is currently ranked #123 in the WTA singles rankings with 661 points.
Julia Grabher (WTA #123) has a career win-loss record of 25-48 (34.2% win rate) and has won 0 WTA titles.
Smashrs tracks Julia'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.
