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
32
Height
5'2" (157 cm)
Plays
Right-Handed
99
Wins
135
Losses
42.3%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2025 | 2/3 | 1/1 | 1/2 | - |
| 2024 | 0/5 | 0/2 | 0/2 | 0/1 |
| 2023 | 14/15 | 4/4 | 10/8 | 0/3 |
| 2022 | 12/17 | 4/5 | 5/8 | 3/4 |
| 2021 | 11/15 | 3/4 | 5/8 | 3/3 |
| 2020 | 5/9 | 0/2 | 5/7 | - |
| 2019 | 8/10 | 2/2 | 4/6 | 2/2 |
| 2018 | 3/7 | 0/1 | 3/6 | - |
| 2017 | 19/23 | 4/6 | 13/13 | 2/4 |
| 2016 | 14/9 | 0/2 | 14/6 | 0/1 |
| 2015 | 11/22 | 2/4 | 6/14 | 3/4 |
| Career | 99/135 | 20/33 | 66/80 | 13/22 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Mar 31, 2025 | Charleston | Round of 32 | Daria Kasatkina | Clay | 16 16 | L |
| Mar 31, 2025 | Charleston | Round of 64 | Jamie Loeb | Clay | 36 61 63 | W |
| Mar 18, 2025 | Miami | Round of 64 | Qinwen Zheng | Hard | 16 57 | L |
| Mar 18, 2025 | Miami | Round of 128 | Aoi Ito | Hard | 64 36 64 | W |
| Mar 5, 2025 | Indian Wells | Round of 128 | Elina Avanesyan | Hard | 46 26 | L |
| Aug 26, 2024 | Us Open | Round of 128 | Anna Kalinskaya | Hard | 26 26 | L |
| Aug 19, 2024 | Cleveland | Round of 32 | Viktoriya Tomova | Hard | 16 46 | L |
| Jul 1, 2024 | Wimbledon | Round of 128 | Camila Osorio | Grass | 36 16 | L |
| May 6, 2024 | Rome | Round of 128 | Angelique Kerber | Clay | 16 06 | L |
| Apr 22, 2024 | Madrid | Round of 128 | Mayar Sherif | Clay | 64 67 46 | L |
Lauren Davis is currently ranked #9999 in the WTA singles rankings with 0 points.
Lauren Davis (WTA #9999) has a career win-loss record of 99-135 (42.3% win rate) and has won 0 WTA titles.
Smashrs tracks Lauren'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.
