ATP Tour
ATP World Ranking - 134 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
23
Height
6'2" (188 cm)
Weight
77 kg (170 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#243 (2025-05-26)
47
Wins
33
Losses
58.8%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 15/9 | 0/1 | 15/8 | - |
| 2025 | 25/17 | 5/6 | 20/11 | - |
| 2024 | 6/5 | 1/1 | 5/4 | - |
| 2023 | 1/2 | 1/2 | - | - |
| Career | 47/33 | 7/10 | 40/23 | - |
Averages · Last 90 days (13 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 9, 2026 | Bosphorus Challenger Cup | Round of 32 | Daniel Michalski | Clay | 36 46 | L |
| May 4, 2026 | Wuxi Open | 1st Round Qualifying | Shinji Hazawa | Hard | 63 64 | W |
| Apr 30, 2026 | Jiangxi Open | Round of 16 | Mark Lajal | Hard | 46 46 | L |
| Apr 29, 2026 | Jiangxi Open | Round of 32 | Bernard Tomic | Hard | 62 64 | W |
| Apr 27, 2026 | Jiangxi Open | 1st Round Qualifying | Ben Jones | Hard | 67 62 64 | W |
| Apr 27, 2026 | Jiangxi Open | 2nd Round Qualifying | Hiroki Moriya | Hard | 63 64 | W |
| Apr 11, 2026 | Gwangju Open | Round of 32 | Leandro Riedi | Hard | 63 46 57 | L |
| Apr 10, 2026 | Renault Busan Open Tennis Championships | Round of 16 | Yunchaokete Bu | Hard | 46 26 | L |
| Apr 8, 2026 | Renault Busan Open Tennis Championships | Round of 32 | Yasutaka Uchiyama | Hard | 63 57 76 | W |
| Apr 3, 2026 | Gwangju Open | 2nd Round Qualifying | Renta Tokuda | Hard | 63 75 | W |
Marat Sharipov is currently ranked #374 in the ATP singles rankings with 134 points.
Marat Sharipov (ATP #374) has a career win-loss record of 47-33 (58.8% win rate) and has won 0 ATP titles.
Smashrs tracks Marat'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.
