WTA Tour
WTA World Ranking - 0 pts
⚔️ The Gladiator
A fierce competitor who thrives in physical battles and tight sets. Combines solid serve and return with an unyielding fighting spirit that makes every match a war of attrition.
Strong against
Weak against
Age
32
Height
5'10" (178 cm)
Plays
Right-Handed
87
Wins
96
Losses
47.5%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2025 | 1/1 | - | 1/1 | - |
| 2023 | 3/3 | 2/2 | 1/1 | - |
| 2022 | 3/4 | - | 3/4 | - |
| 2021 | 4/3 | - | 4/3 | - |
| 2020 | 10/4 | 8/3 | 2/1 | - |
| 2019 | 2/9 | 0/2 | 2/6 | 0/1 |
| 2018 | 13/13 | 3/1 | 9/11 | 1/1 |
| 2017 | 10/20 | 3/3 | 7/14 | 0/3 |
| 2016 | 29/23 | 4/3 | 20/16 | 5/4 |
| 2015 | 12/16 | 1/4 | 10/9 | 1/3 |
| Career | 87/96 | 21/18 | 59/66 | 7/12 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jul 27, 2025 | Montreal | Round of 64 | Belinda Bencic | Hard | 26 63 46 | L |
| Jul 27, 2025 | Montreal | Round of 128 | Emiliana Arango | Hard | 64 26 62 | W |
| Sep 18, 2023 | Guadalajara | Round of 32 | Veronika Kudermetova | Hard | 26 76 46 | L |
| Sep 18, 2023 | Guadalajara | Round of 64 | Renata Zarazua | Hard | 61 76 | W |
| Apr 24, 2023 | Madrid | Round of 64 | Martina Trevisan | Clay | 26 57 | L |
| Apr 24, 2023 | Madrid | Round of 128 | Dayana Yastremska | Clay | 67 62 62 | W |
| Apr 3, 2023 | Bogota | Round of 16 | Kamilla Rakhimova | Clay | 06 76 46 | L |
| Apr 3, 2023 | Bogota | Round of 32 | Ylena In Albon | Clay | 63 62 | W |
| Oct 17, 2022 | Guadalajara 2 | Round of 32 | Jelena Ostapenko | Hard | 57 62 16 | L |
| Oct 17, 2022 | Guadalajara 2 | Round of 64 | Kayla Day | Hard | 75 63 | W |
Eugenie Bouchard is currently ranked #9999 in the WTA singles rankings with 0 points.
Eugenie Bouchard (WTA #9999) has a career win-loss record of 87-96 (47.5% win rate) and has won 0 WTA titles.
Smashrs tracks Eugenie'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.
