WTA Tour
WTA World Ranking - 0 pts
💥 Big Hitter
Overpowers opponents with raw shot speed and aggressive ball-striking. Generates winners from both wings and keeps points short with high-risk, high-reward tennis.
Strong against
Weak against
Age
32
Height
5'12" (182 cm)
Plays
Right-Handed
253
Wins
127
Losses
66.6%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2023 | 0/4 | - | 0/4 | - |
| 2022 | 12/16 | 2/4 | 9/9 | 1/3 |
| 2021 | 42/16 | 3/2 | 35/12 | 4/2 |
| 2020 | 23/7 | 6/2 | 17/5 | - |
| 2019 | 20/15 | 5/2 | 15/12 | 0/1 |
| 2018 | 34/18 | 8/3 | 24/13 | 2/2 |
| 2017 | 46/16 | 6/3 | 31/11 | 9/2 |
| 2016 | 35/18 | 14/3 | 20/13 | 1/2 |
| 2015 | 41/17 | 7/4 | 27/10 | 7/3 |
| Career | 253/127 | 51/23 | 178/89 | 24/15 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jan 30, 2023 | Lyon | Round of 32 | Linda Noskova | Hard | 16 46 | L |
| Jan 16, 2023 | Australian Open | Round of 128 | Elise Mertens | Hard | 63 67 16 | L |
| Jan 9, 2023 | Adelaide 2 | Round of 32 | Belinda Bencic | Hard | 36 46 | L |
| Jan 2, 2023 | Adelaide 1 | Round of 32 | Bianca Andreescu | Hard | 60 67 16 | L |
| Sep 19, 2022 | Tokyo | Quarterfinals | Liudmila Samsonova | Hard | 46 26 | L |
| Sep 19, 2022 | Tokyo | Round of 16 | Despina Papamichail | Hard | 64 62 | W |
| Aug 29, 2022 | Us Open | Round of 128 | Clara Tauson | Hard | 63 76 | W |
| Aug 29, 2022 | Us Open | Round of 64 | Linda Fruhvirtova | Hard | 60 64 | W |
| Aug 29, 2022 | Us Open | Round of 32 | Petra Kvitova | Hard | 75 36 67 | L |
| Aug 15, 2022 | Cincinnati | Round of 32 | Elena Rybakina | Hard | 36 16 | L |
Garbine Muguruza is currently ranked #9999 in the WTA singles rankings with 0 points.
Garbine Muguruza (WTA #9999) has a career win-loss record of 253-127 (66.6% win rate) and has won 0 WTA titles.
Smashrs tracks Garbine'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.
