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
40
Height
5'5" (165 cm)
Plays
Right-Handed
96
Wins
119
Losses
44.7%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2022 | 5/5 | - | 0/2 | 5/3 |
| 2021 | 1/6 | - | 1/6 | - |
| 2020 | 3/8 | 0/2 | 3/6 | - |
| 2019 | 15/20 | 0/4 | 12/12 | 3/4 |
| 2018 | 22/21 | 7/5 | 10/14 | 5/2 |
| 2017 | 14/20 | 2/4 | 9/13 | 3/3 |
| 2016 | 22/22 | 2/5 | 16/14 | 4/3 |
| 2015 | 14/17 | 0/1 | 13/14 | 1/2 |
| Career | 96/119 | 11/21 | 64/81 | 21/17 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jun 27, 2022 | Wimbledon | Round of 128 | Jaimee Fourlis | Grass | 75 62 | W |
| Jun 27, 2022 | Wimbledon | Round of 64 | Simona Halep | Grass | 57 46 | L |
| Jun 20, 2022 | Eastbourne | Round of 64 | Maryna Zanevska | Grass | 62 63 | W |
| Jun 20, 2022 | Eastbourne | Round of 32 | Elise Mertens | Grass | 62 26 61 | W |
| Jun 20, 2022 | Eastbourne | Round of 16 | Viktoriya Tomova | Grass | 63 36 46 | L |
| Jun 6, 2022 | s Hertogenbosch | Quarterfinals | Shelby Rogers | Grass | 63 16 46 | L |
| Jun 6, 2022 | s Hertogenbosch | Round of 32 | Anastasia Tikhonova | Grass | 62 57 63 | W |
| Jun 6, 2022 | s Hertogenbosch | Round of 16 | Ann Li | Grass | 61 61 | W |
| Mar 21, 2022 | Miami | Round of 128 | Viktorija Golubic | Hard | 46 64 46 | L |
| Jan 17, 2022 | Australian Open | Round of 128 | Sara Sorribes Tormo | Hard | 46 16 | L |
Kirsten Flipkens is currently ranked #9999 in the WTA singles rankings with 0 points.
Kirsten Flipkens (WTA #9999) has a career win-loss record of 96-119 (44.7% win rate) and has won 0 WTA titles.
Smashrs tracks Kirsten'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.