ATP Tour
ATP World Ranking - 94 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
26
Height
6'5" (196 cm)
Weight
78 kg (172 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#465 (2026-02-02)
15
Wins
11
Losses
57.7%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 2/0 | - | 2/0 | - |
| 2025 | 12/6 | - | 12/6 | - |
| 2024 | 1/1 | - | 1/1 | - |
| 2019 | 0/1 | - | 0/1 | - |
| 2018 | 0/1 | - | 0/1 | - |
| 2017 | 0/2 | - | 0/2 | - |
| Career | 15/11 | - | 15/11 | - |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jan 7, 2026 | Bengaluru Open | Round of 16 | Felix Balshaw | Hard | 63 16 76 | W |
| Jan 6, 2026 | Bengaluru Open | Round of 32 | Duje Ajdukovic | Hard | 64 64 | W |
| Nov 4, 2025 | Knoxville | Round of 32 | Shunsuke Mitsui | Hard | 67 67 | L |
| Nov 3, 2025 | Knoxville | 2nd Round Qualifying | Quinn Vandecasteele | Hard | 75 36 63 | W |
| Nov 2, 2025 | Knoxville | 1st Round Qualifying | Luca Pow | Hard | 62 26 76 | W |
| Oct 30, 2025 | Charlottesville | Round of 16 | Mitchell Krueger | Hard | 67 64 36 | L |
| Oct 28, 2025 | Charlottesville | Round of 32 | Liam Draxl | Hard | 63 63 | W |
| Oct 26, 2025 | Charlottesville | 1st Round Qualifying | Strong Kirchheimer | Hard | 62 62 | W |
| Oct 17, 2025 | Lincoln | Quarterfinals | Patrick Kypson | Hard | 67 06 | L |
| Oct 15, 2025 | Lincoln | Round of 16 | Alfredo Perez | Hard | 64 76 | W |
Dhakshineswar Suresh is currently ranked #465 in the ATP singles rankings with 94 points.
Dhakshineswar Suresh (ATP #465) has a career win-loss record of 15-11 (57.7% win rate) and has won 0 ATP titles.
Smashrs tracks Dhakshineswar'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.