ATP Tour
ATP World Ranking - 28 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
20
Height
5'9" (175 cm)
Weight
78 kg (172 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#733 (2025-11-10)
11
Wins
17
Losses
39.3%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 7/5 | - | 7/5 | - |
| 2025 | 3/9 | 0/2 | 3/7 | - |
| 2024 | 1/3 | - | 1/3 | - |
| Career | 11/17 | 0/2 | 11/15 | - |
Averages · Last 90 days (12 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jun 1, 2026 | RISE CENTURION OPEN | 2nd Round Qualifying | Alexander Donski | Hard | 62 36 46 | L |
| Jun 1, 2026 | RISE CENTURION OPEN | 1st Round Qualifying | Andreas Scott | Hard | 36 76 63 | W |
| May 25, 2026 | RISE IRENE OPEN | 2nd Round Qualifying | Guillaume Dalmasso | Hard | 63 36 46 | L |
| May 24, 2026 | RISE IRENE OPEN | 1st Round Qualifying | Dillon Beckles | Hard | 61 62 | W |
| May 13, 2026 | S M KRISHNA MEMORIAL OPEN | Round of 16 | Alex Hernandez | Hard | 75 57 46 | L |
| May 9, 2026 | S M KRISHNA MEMORIAL OPEN | Round of 32 | Nitin Kumar Sinha | Hard | 64 61 | W |
| May 2, 2026 | S M KRISHNA MEMORIAL OPEN | 2nd Round Qualifying | Amit Vales | Hard | 63 62 | W |
| May 1, 2026 | KARNATAKA OPEN | 1st Round Qualifying | Prakaash Sarran | Hard | 61 61 | W |
| May 1, 2026 | KARNATAKA OPEN | 2nd Round Qualifying | Ryotaro Taguchi | Hard | 63 57 36 | L |
| May 1, 2026 | S M KRISHNA MEMORIAL OPEN | 1st Round Qualifying | Volodymyr Iakubenko | Hard | 76 75 | W |
RISE IRENE OPEN
Naoya Honda is currently ranked #872 in the ATP singles rankings with 28 points.
Naoya Honda (ATP #872) has a career win-loss record of 11-17 (39.3% win rate) and has won 0 ATP titles.
Smashrs tracks Naoya'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.
