ATP Tour
ATP World Ranking - 100 pts
🎯 Baseliner
Controls rallies from the back of the court with precise groundstrokes and consistent depth. Builds points patiently and waits for the right moment to strike.
Strong against
Weak against
Age
22
Height
6'1" (185 cm)
Weight
81 kg (179 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#388 (2025-08-04)
14
Wins
34
Losses
29.2%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 2/8 | 2/0 | 0/8 | - |
| 2025 | 8/18 | - | 8/18 | - |
| 2024 | 2/5 | 2/1 | 0/4 | - |
| 2023 | 2/1 | - | 2/1 | - |
| 2022 | 0/2 | - | 0/2 | - |
| Career | 14/34 | 4/1 | 10/33 | - |
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 | Mitsuki Wei Kang Leong | Hard | 75 36 26 | L |
| May 7, 2026 | KARNATAKA OPEN | Round of 32 | Kokoro Isomura | Hard | 67 36 | L |
| May 7, 2026 | Brazzaville Challenger | Round of 16 | Digvijaypratap Singh | Clay | 63 75 | W |
| May 6, 2026 | Brazzaville Challenger | Round of 32 | Matt Kleiman | Clay | 63 62 | W |
| Apr 29, 2026 | Cote d'Ivoire Open 2 | Round of 32 | Karim Bennani | Hard | 76 46 26 | L |
| Apr 11, 2026 | Cote d'Ivoire Open 1 | Round of 32 | Florent Bax | Hard | 36 67 | L |
| Feb 24, 2026 | PMR Maha Open | Round of 32 | Maks Kasnikowski | Hard | 36 16 | L |
| Feb 16, 2026 | Delhi Open 2026 | Round of 32 | Daniel Michalski | Hard | 64 67 36 | L |
| Feb 10, 2026 | Coromandel Chennai Open | Round of 32 | Frederico Ferreira Silva | Hard | 46 46 | L |
| Jan 6, 2026 | Bengaluru Open | Round of 32 | Borna Gojo | Hard | 26 46 | L |
RISE IRENE OPEN
Karan Singh is currently ranked #463 in the ATP singles rankings with 100 points.
Karan Singh (ATP #463) has a career win-loss record of 14-34 (29.2% win rate) and has won 0 ATP titles.
Smashrs tracks Karan'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.
