WTA Tour
WTA World Ranking - 0 pts
⚙️ Grinder
Wears opponents down with relentless consistency and deep margins. Doesn't flash the most winners but rarely misses, extending rallies until the opponent cracks under pressure.
Strong against
Weak against
Age
30
Height
5'7" (170 cm)
Plays
Right-Handed
2
Wins
10
Losses
16.7%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 0/2 | - | 0/2 | - |
| 2025 | 2/4 | 2/4 | - | - |
| 2018 | 0/1 | 0/1 | - | - |
| 2016 | 0/2 | 0/2 | - | - |
| 2015 | 0/1 | 0/1 | - | - |
| Career | 2/10 | 2/8 | 0/2 | - |
Averages · Last 90 days (1 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Mar 9, 2026 | W35 Huamantla | Round of 32 | Maria Fernanda Herazo Gonzalez | Hard | 16 06 | L |
| Mar 2, 2026 | W15 Huamantla | Round of 32 | Jessica Hinojosa Gomez | Hard | 36 26 | L |
| Oct 20, 2025 | W50 Ibague | Round of 32 | Yuliana Lizarazo | Clay | 67 46 | L |
| Oct 6, 2025 | W15 Sao Joao da Boa Vista | Round of 32 | Catarina Melleiro | Clay | 61 75 | W |
| Oct 6, 2025 | W15 Sao Joao da Boa Vista | Round of 16 | Berta Bonardi | Clay | 46 46 | L |
| Sep 29, 2025 | W35 Sao Paulo | Round of 32 | Thaisa Grana Pedretti | Clay | 26 06 | L |
| Sep 1, 2025 | W35 Cuiaba | Round of 32 | Catarina Melleiro | Clay | 60 63 | W |
| Sep 1, 2025 | W35 Cuiaba | Round of 16 | Noelia Zeballos Melgar | Clay | 26 36 | L |
| Feb 10, 2018 | Fed Cup G1 PM: COL vs ARG | Round Robin | Stephanie Mariel Petit | Clay | 46 46 | L |
| Feb 5, 2016 | Fed Cup G1 RR: PAR vs COL | Round Robin | Montserrat Gonzalez | Clay | 06 26 | L |
Maria Paulina Perez Garcia is currently ranked #9999 in the WTA singles rankings with 0 points.
Maria Paulina Perez Garcia (WTA #9999) has a career win-loss record of 2-10 (16.7% win rate) and has won 0 WTA titles.
Smashrs tracks Maria'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.
