WTA Tour
WTA World Ranking - 868 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
5'7" (170 cm)
Plays
Right-Handed
41
Wins
69
Losses
37.3%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 5/4 | 1/3 | 4/1 | - |
| 2025 | 2/3 | 1/2 | 1/1 | - |
| 2024 | 4/17 | 1/5 | 3/9 | 0/3 |
| 2023 | 12/14 | 2/3 | 9/10 | 1/1 |
| 2022 | 2/9 | 1/3 | 1/2 | 0/4 |
| 2021 | 5/5 | 4/4 | - | 1/1 |
| 2020 | 0/2 | 0/1 | 0/1 | - |
| 2019 | 5/7 | 5/3 | 0/4 | - |
| 2018 | 3/3 | 3/3 | - | - |
| 2017 | 3/5 | 2/3 | 1/1 | 0/1 |
| Career | 41/69 | 20/30 | 19/29 | 2/10 |
Averages · Last 90 days (4 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 5, 2026 | Rome | Round of 128 | Solana Sierra | Clay | 36 16 | L |
| Apr 13, 2026 | Stuttgart | Round of 32 | Diana Shnaider | Clay | 36 16 | L |
| Apr 6, 2026 | Linz | Round of 16 | Anastasia Potapova | Clay | 26 16 | L |
| Apr 6, 2026 | Linz | Round of 32 | Jaqueline Cristian | Clay | 46 61 64 | W |
| Feb 1, 2026 | Ostrava | Final | Katie Boulter | Hard | 75 26 16 | L |
| Feb 1, 2026 | Ostrava | Round of 32 | Anna Siskova | Hard | 64 64 | W |
| Feb 1, 2026 | Ostrava | Round of 16 | Emiliana Arango | Hard | 63 64 | W |
| Feb 1, 2026 | Ostrava | Semifinals | Diane Parry | Hard | 64 64 | W |
| Feb 1, 2026 | Ostrava | Quarterfinals | Caty Mcnally | Hard | 64 62 | W |
| Oct 27, 2025 | Jiujiang | Quarterfinals | Lilli Tagger | Hard | 36 46 | L |
French Open
Tamara Korpatsch is currently ranked #87 in the WTA singles rankings with 868 points.
Tamara Korpatsch (WTA #87) has a career win-loss record of 41-69 (37.3% win rate) and has won 0 WTA titles.
Smashrs tracks Tamara'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.
