ATP Tour
ATP World Ranking - 72 pts
💥 Big Hitter
Overpowers opponents with raw shot speed and aggressive ball-striking. Generates winners from both wings and keeps points short with high-risk, high-reward tennis.
Strong against
Weak against
Age
25
Height
6'3" (191 cm)
Weight
78 kg (172 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#485 (2023-06-19)
5
Wins
17
Losses
22.7%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 2/9 | 1/1 | 1/8 | - |
| 2025 | 1/1 | - | 1/1 | - |
| 2023 | 1/5 | - | 1/5 | - |
| 2022 | 1/1 | - | 1/1 | - |
| 2019 | 0/1 | - | 0/1 | - |
| Career | 5/17 | 1/1 | 4/16 | - |
Averages · Last 90 days (6 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 9, 2026 | S M KRISHNA MEMORIAL OPEN | Round of 32 | Leo Vithoontien | Hard | 36 46 | L |
| May 7, 2026 | Brazzaville Challenger | Round of 16 | Karan Singh | Clay | 36 57 | L |
| May 7, 2026 | KARNATAKA OPEN | Round of 32 | Philip Sekulic | Hard | 67 67 | L |
| May 6, 2026 | Brazzaville Challenger | Round of 32 | Dillon Beckles | Clay | 75 63 | W |
| Apr 29, 2026 | Cote d'Ivoire Open 2 | Round of 32 | Paul Jubb | Hard | 67 16 | L |
| Apr 11, 2026 | Cote d'Ivoire Open 1 | Round of 32 | Mert Alkaya | Hard | 16 46 | L |
| Feb 23, 2026 | PMR Maha Open | 2nd Round Qualifying | Tung-Lin Wu | Hard | 57 46 | L |
| Feb 22, 2026 | PMR Maha Open | 1st Round Qualifying | Mukund Sasikumar | Hard | 75 76 | W |
| Feb 17, 2026 | Delhi Open 2026 | Round of 32 | Petr Bar Biryukov | Hard | 36 46 | L |
| Feb 10, 2026 | Coromandel Chennai Open | Round of 32 | Oliver Crawford | Hard | 67 63 57 | L |
Digvijay Pratap Singh is currently ranked #555 in the ATP singles rankings with 72 points.
Digvijay Pratap Singh (ATP #555) has a career win-loss record of 5-17 (22.7% win rate) and has won 0 ATP titles.
Smashrs tracks Digvijay'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.
