ATP Tour
ATP World Ranking - 62 pts
🏃 Pusher
The ultimate frustrator - keeps the ball in play at all costs, forcing opponents to generate their own winners. Wins by attrition and opponents' impatience rather than outright power.
Strong against
Weak against
Age
29
Height
5'10" (178 cm)
Weight
69 kg (152 lbs)
Plays
Right-Handed
Career-High Ranking
#447 (2017-01-30)
20
Wins
22
Losses
47.6%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 0/3 | - | 0/3 | - |
| 2025 | 0/1 | - | 0/1 | - |
| 2024 | 3/2 | - | 3/2 | - |
| 2019 | 1/3 | - | 1/1 | - |
| 2018 | 1/4 | - | 1/3 | - |
| 2017 | 6/4 | - | 6/4 | - |
| 2016 | 6/4 | - | 4/2 | - |
| 2015 | 3/1 | - | - | - |
| Career | 20/22 | - | 15/16 | - |
Averages · Last 90 days (2 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 12, 2026 | KARNATAKA OPEN | Round of 32 | Ilya Ivashka | Hard | 26 06 | L |
| May 9, 2026 | S M KRISHNA MEMORIAL OPEN | Round of 32 | Kriish Tyagi | Hard | 67 67 | L |
| Jan 5, 2026 | Bengaluru Open | 2nd Round Qualifying | Mitsuki Wei Kang Leong | Hard | 57 36 | L |
| Nov 4, 2025 | Taipei | Round of 32 | Yu Hsiou Hsu | Hard | 36 63 06 | L |
| Oct 24, 2024 | Taipei 2 | Round of 16 | Coleman Wong | Hard | 16 76 36 | L |
| Oct 22, 2024 | Taipei 2 | Round of 32 | Mitsuki Wei Kang Leong | Hard | 64 16 75 | W |
| Oct 21, 2024 | Taipei 2 | 2nd Round Qualifying | Arthur Weber | Hard | 63 63 | W |
| Oct 20, 2024 | Taipei 2 | 1st Round Qualifying | Niki Kaliyanda Poonacha | Hard | 61 64 | W |
| May 12, 2024 | Taipei | 1st Round Qualifying | Mukund Sasikumar | Hard | 36 46 | L |
| Sep 6, 2019 | Kaohsiung | Round of 64 | Chun-Hsin Tseng | Carpet | 26 36 | L |
Kuan-Yi Lee is currently ranked #600 in the ATP singles rankings with 62 points.
Kuan-Yi Lee (ATP #600) has a career win-loss record of 20-22 (47.6% win rate) and has won 0 ATP titles.
Smashrs tracks Kuan-Yi'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.
