ATP Tour
ATP World Ranking - 10 pts
🤖 Servebot
Lives and dies by the serve. Racks up free points with aces and unreturnable deliveries, holding serve with ease. Return games are the weaker side, making break points critical.
Strong against
Weak against
Age
30
Height
5'11" (180 cm)
Weight
64 kg (141 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#518 (2018-10-15)
11
Wins
20
Losses
35.5%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2022 | 2/4 | - | 2/4 | - |
| 2020 | 1/2 | - | 1/2 | - |
| 2019 | 1/1 | - | 1/1 | - |
| 2018 | 4/6 | - | 3/5 | - |
| 2017 | 1/1 | - | 1/1 | - |
| 2016 | 0/3 | - | 0/2 | - |
| 2015 | 2/3 | - | 1/2 | - |
| Career | 11/20 | - | 9/17 | - |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Nov 6, 2022 | Matsuyama | 1st Round Qualifying | Naoki Nakagawa | Hard | 36 46 | L |
| Nov 1, 2022 | Yokohama | Round of 32 | Damir Dzumhur | Hard | 36 16 | L |
| Oct 31, 2022 | Yokohama | 2nd Round Qualifying | Rimpei Kawakami | Hard | 76 46 64 | W |
| Oct 30, 2022 | Yokohama | 1st Round Qualifying | Kohei Hayashi | Hard | 62 61 | W |
| Oct 9, 2022 | Seoul | 1st Round Qualifying | Hamad Medjedovic | Hard | 46 36 | L |
| Oct 1, 2022 | Tokyo | 1st Round Qualifying | Ramkumar Ramanathan | Hard | 57 36 | L |
| Feb 5, 2020 | Launceston | Round of 32 | Liam Broady | Hard | 36 26 | L |
| Feb 4, 2020 | Launceston | Round of 64 | Tristan Schoolkate | Hard | 62 63 | W |
| Feb 3, 2020 | Launceston | 1st Round Qualifying | Naoki Tajima | Hard | 26 26 | L |
| Nov 6, 2019 | Kobe | Round of 32 | Jay Clarke | Hard | 36 63 36 | L |
Ryota Tanuma is currently ranked #1153 in the ATP singles rankings with 10 points.
Ryota Tanuma (ATP #1153) has a career win-loss record of 11-20 (35.5% win rate) and has won 0 ATP titles.
Smashrs tracks Ryota'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.
