ATP Tour
ATP World Ranking - 113 pts
🧱 The Wall
An impenetrable defender who retrieves everything and forces opponents into errors. Rarely beats themselves, with an elite return game that makes every service game a battle.
Strong against
Weak against
Age
27
Height
5'10" (178 cm)
Weight
76 kg (168 lbs)
Plays
Left-Handed, Two-Handed BH
Career-High Ranking
#339 (2022-09-26)
36
Wins
38
Losses
48.6%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 0/2 | 0/2 | - | - |
| 2023 | 10/14 | 9/12 | 1/2 | - |
| 2022 | 23/21 | 23/20 | 0/1 | - |
| 2021 | 3/1 | 3/1 | - | - |
| Career | 36/38 | 35/35 | 1/3 | - |
Averages · Last 90 days (1 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 1, 2026 | BNP Paribas Primrose Bordeaux | 1st Round Qualifying | Chun-Hsin Tseng | Clay | 26 36 | L |
| Mar 2, 2026 | Guerri Napoli Tennis Cup | 1st Round Qualifying | Francesco Forti | Clay | 64 26 36 | L |
| Nov 26, 2023 | Maspalomas | 1st Round Qualifying | Kilian Feldbausch | Clay | 36 57 | L |
| Sep 3, 2023 | Tulln | 1st Round Qualifying | Mats Moraing | Clay | 26 06 | L |
| Jul 18, 2023 | Trieste | Round of 32 | Roman Andres Burruchaga | Clay | 26 61 46 | L |
| Jul 17, 2023 | Trieste | 2nd Round Qualifying | Kyrian Jacquet | Clay | 36 46 | L |
| Jul 16, 2023 | Trieste | 1st Round Qualifying | Simone Agostini | Clay | 61 63 | W |
| Jul 11, 2023 | Iasi | Round of 32 | Zdenek Kolar | Clay | 46 63 57 | L |
| Jul 10, 2023 | Iasi | 2nd Round Qualifying | Lorenzo Bocchi | Clay | 75 62 | W |
| Jul 9, 2023 | Iasi | 1st Round Qualifying | Daniel Uta | Clay | 62 61 | W |
Andrey Chepelev is currently ranked #419 in the ATP singles rankings with 113 points.
Andrey Chepelev (ATP #419) has a career win-loss record of 36-38 (48.6% win rate) and has won 0 ATP titles.
Smashrs tracks Andrey'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.
