WTA Tour
WTA World Ranking - 912 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
24
Height
5'4" (162 cm)
Plays
Right-Handed
106
Wins
86
Losses
55.2%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 9/9 | 4/3 | 5/6 | - |
| 2025 | 20/16 | 9/4 | 11/10 | 0/2 |
| 2024 | 17/16 | 9/4 | 7/10 | 1/2 |
| 2023 | 19/13 | 9/5 | 9/6 | 1/2 |
| 2022 | 13/14 | 4/3 | 9/8 | 0/3 |
| 2021 | 17/12 | 10/3 | 5/7 | 2/2 |
| 2020 | 1/2 | 1/2 | - | - |
| 2019 | 6/1 | 6/1 | - | - |
| 2018 | 0/1 | 0/1 | - | - |
| 2017 | 2/2 | - | 2/2 | - |
| 2016 | 2/0 | 2/0 | - | - |
| Career | 106/86 | 54/26 | 48/49 | 4/11 |
Averages · Last 90 days (12 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 18, 2026 | Rabat | Quarterfinals | Panna Udvardy | Clay | 57 36 | L |
| May 18, 2026 | Rabat | Round of 16 | Janice Tjen | Clay | 63 36 60 | W |
| May 18, 2026 | Rabat | Round of 32 | Tereza Martincova | Clay | 60 64 | W |
| Apr 21, 2026 | Madrid | Round of 128 | Anastasia Zakharova | Clay | 60 63 | W |
| Apr 21, 2026 | Madrid | Round of 64 | Naomi Osaka | Clay | 26 57 | L |
| Mar 30, 2026 | Bogota | Round of 16 | Jazmin Ortenzi | Clay | 67 67 | L |
| Mar 30, 2026 | Bogota | Round of 32 | Caroline Dolehide | Clay | 67 62 61 | W |
| Mar 17, 2026 | Miami | Round of 64 | Karolina Muchova | Hard | 64 26 57 | L |
| Mar 17, 2026 | Miami | Round of 128 | Katerina Siniakova | Hard | 61 64 | W |
| Mar 4, 2026 | Indian Wells | Round of 128 | Sloane Stephens | Hard | 64 61 | W |
French Open
Camila Osorio is currently ranked #77 in the WTA singles rankings with 912 points.
Camila Osorio (WTA #77) has a career win-loss record of 106-86 (55.2% win rate) and has won 0 WTA titles.
Smashrs tracks Camila'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.