WTA Tour
WTA World Ranking - 59 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
29
Plays
Right-Handed
48
Wins
75
Losses
39%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 0/1 | - | 0/1 | - |
| 2024 | 5/5 | - | 5/4 | 0/1 |
| 2023 | 1/2 | 1/2 | - | - |
| 2022 | 5/16 | 4/5 | 1/9 | 0/2 |
| 2021 | 7/10 | 4/3 | 2/6 | 1/1 |
| 2020 | 6/6 | 1/2 | 5/4 | - |
| 2019 | 1/1 | - | 1/1 | - |
| 2018 | 1/7 | 0/3 | 1/3 | 0/1 |
| 2017 | 13/14 | 5/4 | 8/8 | 0/2 |
| 2016 | 7/7 | 0/3 | 7/4 | - |
| 2015 | 2/6 | 0/2 | 2/3 | 0/1 |
| Career | 48/75 | 15/24 | 32/43 | 1/8 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Feb 1, 2026 | Ostrava | Round of 32 | Diane Parry | Hard | 16 46 | L |
| Aug 26, 2024 | Us Open | Round of 128 | Anhelina Kalinina | Hard | 16 63 16 | L |
| Jul 1, 2024 | Wimbledon | Round of 128 | Daria Snigur | Grass | 46 06 | L |
| Mar 18, 2024 | Miami | Round of 32 | Coco Gauff | Hard | 46 06 | L |
| Mar 18, 2024 | Miami | Round of 64 | Arantxa Rus | Hard | 64 36 63 | W |
| Mar 6, 2024 | Indian Wells | Round of 128 | Elina Avanesyan | Hard | 16 63 76 | W |
| Mar 6, 2024 | Indian Wells | Round of 64 | Daria Kasatkina | Hard | 36 67 | L |
| Jan 15, 2024 | Australian Open | Round of 32 | Clara Burel | Hard | 62 64 | W |
| Jan 15, 2024 | Australian Open | Round of 64 | Martina Trevisan | Hard | 64 64 | W |
| Jan 15, 2024 | Australian Open | Round of 16 | Qinwen Zheng | Hard | 06 36 | L |
Oceane Dodin is currently ranked #686 in the WTA singles rankings with 59 points.
Oceane Dodin (WTA #686) has a career win-loss record of 48-75 (39% win rate) and has won 0 WTA titles.
Smashrs tracks Oceane'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.
