ATP Tour
ATP World Ranking - 75 pts
⚔️ The Gladiator
A fierce competitor who thrives in physical battles and tight sets. Combines solid serve and return with an unyielding fighting spirit that makes every match a war of attrition.
Strong against
Weak against
Age
27
Height
5'9" (175 cm)
Weight
73 kg (161 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#449 (2025-09-15)
20
Wins
23
Losses
46.5%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 3/5 | - | 3/5 | - |
| 2025 | 8/7 | - | 8/7 | - |
| 2024 | 9/9 | - | 9/9 | - |
| 2022 | 0/2 | - | 0/2 | - |
| Career | 20/23 | - | 20/23 | - |
Averages · Last 90 days (7 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Apr 12, 2026 | Renault Busan Open Tennis Championships | 1st Round Qualifying | Pawit Sornlaksup | Hard | 46 76 36 | L |
| Mar 29, 2026 | Koyushokucho Miyazaki Challenger | 1st Round Qualifying | JiSung Nam | Hard | 26 46 | L |
| Mar 23, 2026 | Yokkaichi Challenger | 2nd Round Qualifying | Fajing Sun | Hard | 26 26 | L |
| Mar 2, 2026 | Fujairah Open | 1st Round Qualifying | Shunsuke Nakagawa | Hard | 76 63 | W |
| Feb 24, 2026 | PMR Maha Open | Round of 32 | Federico Cina | Hard | 16 06 | L |
| Feb 23, 2026 | PMR Maha Open | 2nd Round Qualifying | S D Prajwal Dev | Hard | 64 62 | W |
| Feb 22, 2026 | PMR Maha Open | 1st Round Qualifying | Sidharth Rawat | Hard | 64 64 | W |
| Jan 4, 2026 | Bengaluru Open | 1st Round Qualifying | Ryotaro Taguchi | Hard | 57 16 | L |
| Nov 25, 2025 | Playford | Round of 32 | Rinky Hijikata | Hard | 26 06 | L |
| Nov 24, 2025 | Playford | 2nd Round Qualifying | Leo Vithoontien | Hard | 63 62 | W |
Takuya Kumasaka is currently ranked #533 in the ATP singles rankings with 75 points.
Takuya Kumasaka (ATP #533) has a career win-loss record of 20-23 (46.5% win rate) and has won 0 ATP titles.
Smashrs tracks Takuya'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.
