ATP Tour
ATP World Ranking - 45 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
28
Height
5'11" (180 cm)
Weight
72 kg (159 lbs)
Plays
Left-Handed, Two-Handed BH
Career-High Ranking
#378 (2017-11-13)
8
Wins
14
Losses
36.4%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 0/1 | - | 0/1 | - |
| 2025 | 0/1 | - | 0/1 | - |
| 2024 | 0/1 | - | 0/1 | - |
| 2019 | 0/1 | - | 0/1 | - |
| 2018 | 0/2 | - | 0/2 | - |
| 2017 | 6/4 | - | 6/3 | - |
| 2016 | 0/1 | - | 0/1 | - |
| 2015 | 2/3 | - | 2/2 | - |
| Career | 8/14 | - | 8/12 | - |
Averages · Last 90 days (1 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Apr 12, 2026 | WUNING OPEN 2 | 1st Round Qualifying | Enzo Aguiard | Hard | 64 46 16 | L |
| Nov 16, 2025 | Yokohama | 1st Round Qualifying | Ryotaro Taguchi | Hard | 76 46 67 | L |
| May 12, 2024 | Taipei | 1st Round Qualifying | Alafia Ayeni | Hard | 76 46 46 | L |
| Aug 6, 2019 | Yokkaichi | Round of 64 | Kento Takeuchi | Hard | 46 36 | L |
| Feb 26, 2018 | Yokohama | 1st Round Qualifying | Masamichi Imamura | Hard | 67 12 | L |
| Feb 10, 2018 | Kyoto | Round of 32 | Andrew Whittington | Hard | 36 36 | L |
| Nov 9, 2017 | Kobe | Round of 16 | John Millman | Hard | 16 16 | L |
| Nov 8, 2017 | Kobe | Round of 32 | Lloyd Harris | Hard | 46 63 60 | W |
| Nov 6, 2017 | Kobe | 2nd Round Qualifying | Yasutaka Suzuki | Hard | 60 63 | W |
| Nov 6, 2017 | Kobe | 3rd Round Qualifying | Tsung-Hua Yang | Hard | 64 62 | W |
Sora Fukuda is currently ranked #711 in the ATP singles rankings with 45 points.
Sora Fukuda (ATP #711) has a career win-loss record of 8-14 (36.4% win rate) and has won 0 ATP titles.
Smashrs tracks Sora'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.
