ATP Tour
ATP World Ranking - 11 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
29
Height
5'9" (175 cm)
Weight
65 kg (143 lbs)
Plays
Left-Handed, Two-Handed BH
Career-High Ranking
#343 (2019-04-29)
48
Wins
72
Losses
40%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2024 | 5/8 | - | 5/8 | - |
| 2023 | 6/9 | - | 6/9 | - |
| 2022 | 4/9 | - | 4/9 | - |
| 2019 | 7/18 | 2/3 | 5/15 | - |
| 2018 | 15/13 | - | 15/13 | - |
| 2017 | 8/6 | - | 7/5 | - |
| 2016 | 1/4 | 0/1 | 1/2 | - |
| 2015 | 2/5 | - | 2/4 | - |
| Career | 48/72 | 2/4 | 45/65 | - |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Oct 27, 2024 | Sydney | 1st Round Qualifying | Cruz Hewitt | Hard | 26 60 67 | L |
| Aug 26, 2024 | Zhangjiagang | 2nd Round Qualifying | Kris Van Wyk | Hard | 63 16 16 | L |
| Aug 25, 2024 | Zhangjiagang | 1st Round Qualifying | Jia Hu | Hard | 61 62 | W |
| Aug 20, 2024 | Jinan | Round of 32 | Ye Cong Mo | Hard | 26 36 | L |
| May 12, 2024 | Taipei | 1st Round Qualifying | Kaito Uesugi | Hard | 62 36 36 | L |
| Feb 8, 2024 | Burnie 2 | Round of 16 | Dane Sweeny | Hard | 36 64 26 | L |
| Feb 6, 2024 | Burnie 2 | Round of 32 | Masamichi Imamura | Hard | 75 62 | W |
| Jan 29, 2024 | Burnie | Round of 32 | Marc Polmans | Hard | 26 16 | L |
| Jan 8, 2024 | Nonthaburi 2 | 2nd Round Qualifying | Ramkumar Ramanathan | Hard | 46 26 | L |
| Jan 7, 2024 | Nonthaburi 2 | 1st Round Qualifying | Arthur Weber | Hard | 62 64 | W |
Makoto Ochi is currently ranked #1125 in the ATP singles rankings with 11 points.
Makoto Ochi (ATP #1125) has a career win-loss record of 48-72 (40% win rate) and has won 0 ATP titles.
Smashrs tracks Makoto'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.
