WTA Tour
WTA World Ranking - 0 pts
🏹 Frontrunner
Excels when dictating play and building early leads. Gets ahead with aggressive opening sets and uses confidence-driven momentum to close matches before opponents can settle in.
Strong against
Weak against
Age
30
Height
5'9" (174 cm)
Plays
Right-Handed
205
Wins
131
Losses
61%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2023 | 4/7 | 1/3 | 2/3 | 1/1 |
| 2022 | 27/15 | 5/4 | 21/10 | 1/1 |
| 2021 | 46/17 | 5/3 | 38/12 | 3/2 |
| 2020 | 24/11 | 5/3 | 19/8 | - |
| 2019 | 21/15 | 3/4 | 15/8 | 3/3 |
| 2018 | 33/25 | 11/5 | 20/17 | 2/3 |
| 2017 | 29/19 | 10/5 | 12/13 | 7/1 |
| 2016 | 15/16 | 1/3 | 12/10 | 2/3 |
| 2015 | 6/6 | 0/1 | 6/4 | 0/1 |
| Career | 205/131 | 41/31 | 145/85 | 19/15 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jul 3, 2023 | Wimbledon | Round of 64 | Marie Bouzkova | Grass | 16 26 | L |
| Jul 3, 2023 | Wimbledon | Round of 128 | Lucrezia Stefanini | Grass | 64 64 | W |
| May 29, 2023 | Roland Garros | Round of 128 | Bernarda Pera | Clay | 67 26 | L |
| May 8, 2023 | Rome | Round of 128 | Alycia Parks | Clay | 61 61 | W |
| May 8, 2023 | Rome | Round of 64 | Liudmila Samsonova | Clay | 36 36 | L |
| Apr 24, 2023 | Madrid | Round of 128 | Karolina Muchova | Clay | 26 26 | L |
| Feb 6, 2023 | Abu Dhabi | Round of 32 | Shuai Zhang | Hard | 46 76 64 | W |
| Jan 16, 2023 | Australian Open | Round of 128 | Julia Grabher | Hard | 62 63 | W |
| Jan 16, 2023 | Australian Open | Round of 64 | Magda Linette | Hard | 63 36 46 | L |
| Jan 9, 2023 | Adelaide 2 | Round of 32 | Paula Badosa | Hard | 46 36 | L |
Anett Kontaveit is currently ranked #9999 in the WTA singles rankings with 0 points.
Anett Kontaveit (WTA #9999) has a career win-loss record of 205-131 (61% win rate) and has won 0 WTA titles.
Smashrs tracks Anett'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.
