WTA Tour
WTA World Ranking - 0 pts
🎾 All-Court
Comfortable at every position on the court - baseline, net, or in transition. Adapts tactics match by match and point by point, making them unpredictable and difficult to game-plan against.
Strong against
Weak against
Age
38
Height
5'11" (180 cm)
Plays
Right-Handed
116
Wins
125
Losses
48.1%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2022 | 8/10 | 3/2 | 4/5 | 1/3 |
| 2021 | 14/18 | 8/4 | 4/11 | 2/3 |
| 2020 | 0/1 | 0/1 | - | - |
| 2019 | 17/18 | 5/5 | 11/10 | 1/3 |
| 2018 | 16/13 | 2/4 | 13/8 | 1/1 |
| 2017 | 11/22 | 1/7 | 9/13 | 1/2 |
| 2016 | 20/20 | 3/6 | 13/11 | 4/3 |
| 2015 | 30/23 | 7/2 | 19/18 | 4/3 |
| Career | 116/125 | 29/31 | 73/76 | 14/18 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Aug 29, 2022 | Us Open | Round of 128 | Belinda Bencic | Hard | 26 64 46 | L |
| Aug 1, 2022 | Washington | Round of 16 | Rebecca Marino | Hard | 36 63 16 | L |
| Aug 1, 2022 | Washington | Round of 32 | Clara Tauson | Hard | 62 62 | W |
| Jul 18, 2022 | Hamburg | Round of 32 | Tamara Korpatsch | Clay | 63 63 | W |
| Jul 18, 2022 | Hamburg | Round of 16 | Misaki Doi | Clay | 64 63 | W |
| Jun 27, 2022 | Wimbledon | Round of 128 | Viktorija Golubic | Grass | 46 36 | L |
| Jun 20, 2022 | Bad Homburg | Round of 32 | Daria Kasatkina | Grass | 16 26 | L |
| Jun 13, 2022 | Berlin | Round of 32 | Garbine Muguruza | Grass | 76 64 | W |
| Jun 13, 2022 | Berlin | Round of 16 | Aliaksandra Sasnovich | Grass | 46 46 | L |
| May 23, 2022 | Roland Garros | Round of 64 | Victoria Azarenka | Clay | 16 67 | L |
Andrea Petkovic is currently ranked #9999 in the WTA singles rankings with 0 points.
Andrea Petkovic (WTA #9999) has a career win-loss record of 116-125 (48.1% win rate) and has won 0 WTA titles.
Smashrs tracks Andrea'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.