WTA Tour
WTA World Ranking - 0 pts
🪃 Counterpuncher
Turns defense into offense. Absorbs pace, redirects with precision, and thrives in long rallies by letting opponents beat themselves. Excels at converting break points when they matter most.
Strong against
Weak against
Age
38
Height
5'8" (173 cm)
Plays
Left-Handed
271
Wins
146
Losses
65%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2024 | 10/15 | 6/4 | 4/8 | 0/3 |
| 2022 | 12/11 | 6/5 | 2/4 | 4/2 |
| 2021 | 28/16 | 3/4 | 14/10 | 11/2 |
| 2020 | 7/5 | 0/2 | 7/3 | - |
| 2019 | 27/19 | 2/2 | 18/14 | 7/3 |
| 2018 | 45/18 | 8/4 | 27/12 | 10/2 |
| 2017 | 29/23 | 3/4 | 21/17 | 5/2 |
| 2016 | 61/17 | 10/3 | 43/12 | 8/2 |
| 2015 | 52/22 | 17/3 | 28/18 | 7/1 |
| Career | 271/146 | 55/31 | 164/98 | 52/17 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jul 29, 2024 | Paris Olympics | Round of 16 | Leylah Fernandez | Clay | 64 63 | W |
| Jul 29, 2024 | Paris Olympics | Round of 32 | Jaqueline Cristian | Clay | 64 36 64 | W |
| Jul 29, 2024 | Paris Olympics | Quarterfinals | Qinwen Zheng | Clay | 76 46 67 | L |
| Jul 29, 2024 | Paris Olympics | Round of 64 | Naomi Osaka | Clay | 75 63 | W |
| Jul 1, 2024 | Wimbledon | Round of 128 | Yulia Putintseva | Grass | 57 36 | L |
| Jun 24, 2024 | Bad Homburg | Round of 32 | Diana Shnaider | Grass | 57 36 | L |
| Jun 17, 2024 | Berlin | Round of 32 | Linda Noskova | Grass | 67 62 46 | L |
| May 27, 2024 | Roland Garros | Round of 128 | Arantxa Rus | Clay | 46 36 | L |
| May 6, 2024 | Rome | Round of 16 | Iga Swiatek | Clay | 57 36 | L |
| May 6, 2024 | Rome | Round of 64 | Veronika Kudermetova | Clay | 63 60 | W |
Angelique Kerber is currently ranked #9999 in the WTA singles rankings with 0 points.
Angelique Kerber (WTA #9999) has a career win-loss record of 271-146 (65% win rate) and has won 0 WTA titles.
Smashrs tracks Angelique'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.
