ATP Tour
ATP World Ranking - 4 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
60 kg (132 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#816 (2016-10-31)
7
Wins
19
Losses
26.9%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 0/2 | - | 0/2 | - |
| 2025 | 4/6 | - | 4/6 | - |
| 2023 | 0/2 | - | 0/2 | - |
| 2022 | 0/1 | - | 0/1 | - |
| 2017 | 0/3 | - | 0/3 | - |
| 2016 | 1/3 | - | 1/3 | - |
| 2015 | 2/2 | - | 2/2 | - |
| Career | 7/19 | - | 7/19 | - |
Averages · Last 90 days (2 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 11, 2026 | M15 Nakhon Pathom | Round of 32 | Anthony Susanto | Hard | 26 36 | L |
| Apr 27, 2026 | M25 Nakhon Pathom | Round of 32 | Taisei Ichikawa | Hard | 16 26 | L |
| Oct 27, 2025 | M15 Hua Hin | Round of 32 | Sasi Kumar Mukund | Hard | 57 36 | L |
| Oct 20, 2025 | M15 Hua Hin | Round of 32 | Oliver Clark Anderson | Hard | 36 46 | L |
| Sep 1, 2025 | M25 Nakhon Pathom | Round of 32 | Suk Ann | Hard | 64 06 63 | W |
| Sep 1, 2025 | M25 Nakhon Pathom | Round of 16 | Leo Vithoontien | Hard | 36 26 | L |
| Aug 25, 2025 | M15 Nakhon Pathom | Round of 32 | Maxim Shin | Hard | 63 63 | W |
| Aug 25, 2025 | M15 Nakhon Pathom | Round of 16 | Jesse Delaney | Hard | 64 76 | W |
| Aug 25, 2025 | M15 Nakhon Pathom | Quarterfinals | Dominik Palan | Hard | 16 16 | L |
| Jul 28, 2025 | M15 Nakhon Pathom | Round of 32 | Kaichi Uchida | Hard | 06 67 | L |
Jirat Navasirisomboon is currently ranked #1528 in the ATP singles rankings with 4 points.
Jirat Navasirisomboon (ATP #1528) has a career win-loss record of 7-19 (26.9% win rate) and has won 0 ATP titles.
Smashrs tracks Jirat'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.