WTA Tour
WTA World Ranking - 0 pts
🧱 The Wall
An impenetrable defender who retrieves everything and forces opponents into errors. Rarely beats themselves, with an elite return game that makes every service game a battle.
Strong against
Weak against
Age
31
Height
5'4" (162 cm)
Plays
Right-Handed
35
Wins
50
Losses
41.2%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2024 | 2/6 | 1/3 | 1/3 | - |
| 2023 | 4/6 | 1/1 | 2/4 | 1/1 |
| 2022 | 0/1 | 0/1 | - | - |
| 2021 | 0/1 | 0/1 | - | - |
| 2020 | 1/1 | - | 1/1 | - |
| 2019 | 4/6 | 1/1 | 3/5 | - |
| 2018 | 9/12 | 0/3 | 8/6 | 1/3 |
| 2017 | 5/4 | 1/1 | 4/3 | - |
| 2016 | 5/6 | 3/4 | 2/2 | - |
| 2015 | 5/7 | 2/2 | 1/3 | 2/2 |
| Career | 35/50 | 9/17 | 22/27 | 4/6 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Sep 9, 2024 | Guadalajara | Round of 32 | Veronika Kudermetova | Hard | 46 46 | L |
| May 27, 2024 | Roland Garros | Round of 128 | Ons Jabeur | Clay | 36 26 | L |
| Apr 15, 2024 | Stuttgart | Round of 16 | Coco Gauff | Clay | 36 64 57 | L |
| Apr 15, 2024 | Stuttgart | Round of 32 | Aliaksandra Sasnovich | Clay | 76 75 | W |
| Apr 1, 2024 | Charleston | Round of 64 | Jaqueline Cristian | Clay | 16 46 | L |
| Feb 26, 2024 | Austin | Round of 16 | Anna Karolina Schmiedlova | Hard | 75 67 57 | L |
| Feb 26, 2024 | Austin | Round of 32 | Rebecca Marino | Hard | 62 64 | W |
| Jan 1, 2024 | Auckland | Round of 32 | Lesia Tsurenko | Hard | 57 46 | L |
| Oct 9, 2023 | Seoul | Round of 32 | Kimberly Birrell | Hard | 46 46 | L |
| Sep 18, 2023 | Guadalajara | Round of 32 | Caroline Dolehide | Hard | 36 64 16 | L |
Sachia Vickery is currently ranked #9999 in the WTA singles rankings with 0 points.
Sachia Vickery (WTA #9999) has a career win-loss record of 35-50 (41.2% win rate) and has won 0 WTA titles.
Smashrs tracks Sachia'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.