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
41
Height
5'6" (168 cm)
Plays
Right-Handed
30
Wins
49
Losses
38%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2023 | 0/1 | - | 0/1 | - |
| 2021 | 2/2 | - | 2/2 | - |
| 2020 | 0/1 | - | 0/1 | - |
| 2019 | 1/2 | - | 1/2 | - |
| 2018 | 1/8 | 1/3 | 0/5 | - |
| 2017 | 7/6 | 3/2 | 3/4 | 1/0 |
| 2016 | 5/15 | 2/4 | 3/10 | 0/1 |
| 2015 | 14/14 | 4/6 | 8/7 | 2/1 |
| Career | 30/49 | 10/15 | 17/32 | 3/2 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jan 30, 2023 | Hua Hin | Round of 32 | Linda Fruhvirtova | Hard | 36 16 | L |
| Aug 23, 2021 | Cleveland | Round of 32 | Ena Shibahara | Hard | 64 36 61 | W |
| Aug 23, 2021 | Cleveland | Round of 16 | Shuai Zhang | Hard | 46 67 | L |
| Feb 3, 2021 | Grampians Trophy | Round of 32 | Barbora Strycova | Hard | 76 62 | W |
| Feb 3, 2021 | Grampians Trophy | Round of 16 | Anett Kontaveit | Hard | 57 57 | L |
| Aug 10, 2020 | Lexington | Round of 32 | Olga Govortsova | Hard | 67 16 | L |
| Jul 29, 2019 | San Jose | Round of 16 | Carla Suarez Navarro | Hard | 63 16 26 | L |
| Jul 29, 2019 | San Jose | Round of 32 | Venus Williams | Hard | 67 63 61 | W |
| Jan 14, 2019 | Australian Open | Round of 128 | Zoe Hives | Hard | 16 26 | L |
| Dec 31, 2018 | Auckland | Round of 32 | Monica Puig | Hard | 36 26 | L |
Bethanie Mattek Sands is currently ranked #9999 in the WTA singles rankings with 0 points.
Bethanie Mattek Sands (WTA #9999) has a career win-loss record of 30-49 (38% win rate) and has won 0 WTA titles.
Smashrs tracks Bethanie'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.