WTA Tour
WTA World Ranking - 0 pts
🧱 The Wall
An impenetrable defender who retrieves everything and forces opponents into errors. Rarely beats themselves, with an elite return game that makes every service game a battle.
Strong against
Weak against
Age
31
Height
6'0" (183 cm)
Plays
Right-Handed
49
Wins
50
Losses
49.5%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2024 | 0/1 | - | 0/1 | - |
| 2023 | 0/2 | - | 0/1 | 0/1 |
| 2021 | 5/4 | 0/1 | 5/3 | - |
| 2020 | 2/4 | 1/1 | 1/3 | - |
| 2019 | 14/15 | 3/3 | 7/9 | 4/3 |
| 2018 | 10/5 | - | 10/5 | - |
| 2016 | 8/13 | 0/6 | 8/7 | - |
| 2015 | 10/6 | 0/1 | 10/4 | 0/1 |
| Career | 49/50 | 4/12 | 41/33 | 4/5 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Oct 28, 2024 | Hong Kong | Round of 32 | Han Shi | Hard | 46 26 | L |
| Aug 28, 2023 | Us Open | Round of 128 | Yuriko Miyazaki | Hard | 36 36 | L |
| Jul 3, 2023 | Wimbledon | Round of 128 | Kaja Juvan | Grass | 06 36 | L |
| May 31, 2021 | Roland Garros | Round of 128 | Ann Li | Clay | 06 16 | L |
| Mar 15, 2021 | St. Petersburg | Quarterfinals | Ekaterina Alexandrova | Hard | 62 75 | W |
| Mar 15, 2021 | St. Petersburg | Round of 16 | Katerina Siniakova | Hard | 64 64 | W |
| Mar 15, 2021 | St. Petersburg | Semifinals | Vera Zvonareva | Hard | 63 76 | W |
| Mar 15, 2021 | St. Petersburg | Round of 32 | Kristina Mladenovic | Hard | 67 61 61 | W |
| Mar 1, 2021 | Lyon | Round of 16 | Kristina Mladenovic | Hard | 46 26 | L |
| Mar 1, 2021 | Lyon | Round of 32 | Katarina Zavatska | Hard | 64 61 | W |
Margarita Gasparyan is currently ranked #9999 in the WTA singles rankings with 0 points.
Margarita Gasparyan (WTA #9999) has a career win-loss record of 49-50 (49.5% win rate) and has won 0 WTA titles.
Smashrs tracks Margarita'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.
