WTA Tour
WTA World Ranking - 448 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
33
Height
5'10" (178 cm)
Plays
Right-Handed
11
Wins
22
Losses
33.3%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 1/1 | 1/1 | - | - |
| 2025 | 3/2 | 3/2 | - | - |
| 2023 | 2/6 | 0/1 | 2/5 | - |
| 2022 | 4/8 | 1/2 | 3/6 | - |
| 2021 | 0/1 | - | 0/1 | - |
| 2020 | 0/3 | - | 0/3 | - |
| 2019 | 1/0 | - | 1/0 | - |
| 2015 | 0/1 | 0/1 | - | - |
| Career | 11/22 | 5/7 | 6/15 | - |
Averages · Last 90 days (2 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Mar 30, 2026 | Bogota | Round of 16 | Darja Semenistaja | Clay | 16 61 26 | L |
| Mar 30, 2026 | Bogota | Round of 32 | Anastasia Tikhonova | Clay | 63 61 | W |
| Sep 22, 2025 | W50+H Pazardzhik | Semifinals | Andrea Lazaro Garcia | Clay | 63 36 26 | L |
| Sep 22, 2025 | W50+H Pazardzhik | Round of 32 | Katerina Tsygourova | Clay | 63 64 | W |
| Sep 22, 2025 | W50+H Pazardzhik | Quarterfinals | Daria Lodikova | Clay | 61 61 | W |
| Sep 22, 2025 | W50+H Pazardzhik | Round of 16 | Anastasia Abbagnato | Clay | 75 61 | W |
| Aug 4, 2025 | W50+H Koksijde | Round of 32 | Lian Tran | Clay | 46 62 46 | L |
| Sep 25, 2023 | Tokyo | Round of 32 | Sakura Hosogi | Hard | 76 75 | W |
| Sep 25, 2023 | Tokyo | Round of 16 | Daria Kasatkina | Hard | 46 46 | L |
| Sep 18, 2023 | Guangzhou | Round of 32 | Zhuoxuan Bai | Hard | 36 57 | L |
Despina Papamichail is currently ranked #163 in the WTA singles rankings with 448 points.
Despina Papamichail (WTA #163) has a career win-loss record of 11-22 (33.3% win rate) and has won 0 WTA titles.
Smashrs tracks Despina'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.
