ATP Tour
ATP World Ranking - 39 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
30
Height
6'2" (188 cm)
Weight
82 kg (181 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#513 (2019-09-09)
21
Wins
32
Losses
39.6%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 1/2 | 1/1 | 0/1 | - |
| 2025 | 3/1 | 3/1 | - | - |
| 2024 | 1/2 | 0/1 | 1/1 | - |
| 2023 | 8/15 | 3/7 | 5/8 | - |
| 2022 | 7/10 | 3/4 | 4/6 | - |
| 2021 | 1/1 | 1/1 | - | - |
| 2017 | 0/1 | 0/1 | - | - |
| Career | 21/32 | 11/16 | 10/16 | - |
Averages · Last 90 days (3 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Apr 20, 2026 | Shymkent Challenger 1 | 2nd Round Qualifying | Ergi Kirkin | Clay | 46 67 | L |
| Apr 19, 2026 | Shymkent Challenger 1 | 1st Round Qualifying | Ruslan Tiukaev | Clay | 61 26 64 | W |
| Feb 1, 2026 | Koblenz Tennis Open | 1st Round Qualifying | Johan Nikles | Hard | 26 26 | L |
| Sep 4, 2025 | Tulln | Round of 16 | Francesco Maestrelli | Clay | 26 63 57 | L |
| Sep 2, 2025 | Tulln | Round of 32 | Neil Oberleitner | Clay | 63 76 | W |
| Sep 1, 2025 | Tulln | 2nd Round Qualifying | Jakub Nicod | Clay | 76 63 | W |
| Aug 31, 2025 | Tulln | 1st Round Qualifying | Michael Vrbensky | Clay | 63 36 63 | W |
| Sep 9, 2024 | Rennes | 2nd Round Qualifying | Arthur Bouquier | Hard | 36 46 | L |
| Sep 8, 2024 | Rennes | 1st Round Qualifying | Gregoire Jacq | Hard | 63 64 | W |
| Sep 1, 2024 | Tulln | 1st Round Qualifying | Alexey Vatutin | Clay | 60 26 26 | L |
Kai Wehnelt is currently ranked #751 in the ATP singles rankings with 39 points.
Kai Wehnelt (ATP #751) has a career win-loss record of 21-32 (39.6% win rate) and has won 0 ATP titles.
Smashrs tracks Kai'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.