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
42
Height
5'8" (172 cm)
Plays
Right-Handed
116
Wins
127
Losses
47.7%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2022 | 1/3 | 0/1 | 1/2 | - |
| 2021 | 1/10 | - | 1/7 | 0/3 |
| 2020 | 1/3 | - | 1/3 | - |
| 2019 | 15/18 | 4/3 | 9/12 | 2/3 |
| 2018 | 15/26 | 8/7 | 3/15 | 4/4 |
| 2017 | 22/19 | 12/6 | 10/13 | - |
| 2016 | 29/24 | 16/7 | 12/15 | 1/2 |
| 2015 | 32/24 | 15/5 | 15/17 | 2/2 |
| Career | 116/127 | 55/29 | 52/84 | 9/14 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 16, 2022 | Strasbourg | Round of 32 | Harmony Tan | Clay | 26 16 | L |
| Jan 17, 2022 | Australian Open | Round of 128 | Robin Anderson | Hard | 67 63 63 | W |
| Jan 17, 2022 | Australian Open | Round of 64 | Anastasia Pavlyuchenkova | Hard | 26 26 | L |
| Jan 3, 2022 | Melbourne 2 | Round of 32 | Lin Zhu | Hard | 67 67 | L |
| Aug 30, 2021 | Us Open | Round of 128 | Anett Kontaveit | Hard | 36 06 | L |
| Aug 16, 2021 | Cincinnati | Round of 64 | Elena Rybakina | Hard | 36 36 | L |
| Jul 24, 2021 | Tokyo Olympics | Round of 64 | Elena Rybakina | Hard | 46 26 | L |
| Jul 12, 2021 | Prague | Round of 32 | Grace Min | Hard | 36 62 36 | L |
| Jun 28, 2021 | Wimbledon | Round of 128 | Shelby Rogers | Grass | 16 75 36 | L |
| Jun 21, 2021 | Eastbourne | Round of 32 | Viktorija Golubic | Grass | 26 36 | L |
Samantha Stosur is currently ranked #9999 in the WTA singles rankings with 0 points.
Samantha Stosur (WTA #9999) has a career win-loss record of 116-127 (47.7% win rate) and has won 0 WTA titles.
Smashrs tracks Samantha'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.