ATP Tour
ATP World Ranking - 19 pts
👑 The Complete Package
Elite across every dimension - dominant serve, elite return game, and the mental toughness to close out tight matches. These players impose their will regardless of surface or opponent style.
Strong against
Weak against
Age
28
Height
5'11" (180 cm)
Weight
75 kg (165 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#446 (2019-09-30)
14
Wins
23
Losses
37.8%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 0/1 | - | 0/1 | - |
| 2025 | 1/1 | - | 1/1 | - |
| 2020 | 0/1 | - | 0/1 | - |
| 2019 | 4/5 | 0/1 | 3/3 | - |
| 2018 | 6/9 | - | 5/8 | - |
| 2017 | 3/6 | - | 3/5 | - |
| Career | 14/23 | 0/1 | 12/19 | - |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jan 5, 2026 | Bengaluru Open | 2nd Round Qualifying | Felix Balshaw | Hard | 26 63 26 | L |
| Nov 18, 2025 | Yokohama | Round of 32 | Yuki Mochizuki | Hard | 46 67 | L |
| Nov 17, 2025 | Yokohama | 2nd Round Qualifying | Naoki Nakagawa | Hard | 63 61 | W |
| Feb 25, 2020 | Calgary | Round of 64 | Filip Peliwo | Hard | 16 57 | L |
| Nov 6, 2019 | Kobe | Round of 32 | Ramkumar Ramanathan | Hard | 46 16 | L |
| Nov 5, 2019 | Kobe | Round of 64 | Bradley Mousley | Hard | 62 43 | W |
| Sep 11, 2019 | Shanghai | Round of 32 | Enrique Lopez Perez | Hard | 46 63 26 | L |
| Sep 10, 2019 | Shanghai | Round of 64 | Kazuki Nishiwaki | Hard | 63 62 | W |
| Sep 6, 2019 | Kaohsiung | Round of 64 | Luke Saville | Carpet | 67 46 | L |
| Sep 1, 2019 | Kaohsiung | 1st Round Qualifying | Chang-Lin Tsai | Carpet | 63 61 | W |
Jumpei Yamasaki is currently ranked #993 in the ATP singles rankings with 19 points.
Jumpei Yamasaki (ATP #993) has a career win-loss record of 14-23 (37.8% win rate) and has won 0 ATP titles.
Smashrs tracks Jumpei'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.
