WTA Tour
WTA World Ranking - 0 pts
💥 Big Hitter
Overpowers opponents with raw shot speed and aggressive ball-striking. Generates winners from both wings and keeps points short with high-risk, high-reward tennis.
Strong against
Weak against
Age
31
Height
5'6" (167 cm)
Plays
Right-Handed
217
Wins
132
Losses
62.2%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2025 | 11/11 | 0/3 | 9/6 | 2/2 |
| 2024 | 19/14 | 8/5 | 5/7 | 6/2 |
| 2023 | 34/16 | 10/2 | 17/11 | 7/3 |
| 2022 | 46/15 | 17/4 | 19/10 | 10/1 |
| 2021 | 47/18 | 13/3 | 24/13 | 10/2 |
| 2020 | 25/11 | 3/2 | 22/9 | - |
| 2019 | 16/16 | 0/1 | 11/13 | 5/2 |
| 2018 | 9/12 | 2/2 | 6/9 | 1/1 |
| 2017 | 9/11 | 4/2 | 5/7 | 0/2 |
| 2016 | 0/3 | 0/2 | 0/1 | - |
| 2015 | 1/5 | - | 1/5 | - |
| Career | 217/132 | 57/26 | 119/91 | 41/15 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jun 23, 2025 | Eastbourne | Round of 32 | Maya Joint | Grass | 57 26 | L |
| Jun 16, 2025 | Berlin | Quarterfinals | Marketa Vondrousova | Grass | 46 16 | L |
| Jun 16, 2025 | Berlin | Round of 16 | Jasmine Paolini | Grass | 61 63 | W |
| Jun 16, 2025 | Berlin | Round of 32 | Caroline Dolehide | Grass | 76 61 | W |
| May 26, 2025 | Roland Garros | Round of 128 | Magdalena Frech | Clay | 67 06 | L |
| May 6, 2025 | Rome | Round of 32 | Jasmine Paolini | Clay | 46 36 | L |
| Apr 22, 2025 | Madrid | Round of 64 | Moyuka Uchijima | Clay | 64 36 46 | L |
| Mar 18, 2025 | Miami | Round of 64 | Katerina Siniakova | Hard | 64 76 | W |
| Mar 5, 2025 | Indian Wells | Round of 64 | Dayana Yastremska | Hard | 36 16 | L |
| Feb 17, 2025 | Dubai | Round of 64 | Peyton Stearns | Hard | 67 46 | L |
Ons Jabeur is currently ranked #9999 in the WTA singles rankings with 0 points.
Ons Jabeur (WTA #9999) has a career win-loss record of 217-132 (62.2% win rate) and has won 0 WTA titles.
Smashrs tracks Ons'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.
