ATP Tour
ATP World Ranking - 59 pts
⚙️ Grinder
Wears opponents down with relentless consistency and deep margins. Doesn't flash the most winners but rarely misses, extending rallies until the opponent cracks under pressure.
Strong against
Weak against
Age
23
Height
6'2" (188 cm)
Weight
76 kg (168 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#465 (2025-03-17)
16
Wins
19
Losses
45.7%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 1/2 | - | 1/2 | - |
| 2025 | 7/10 | 0/3 | 7/7 | - |
| 2024 | 7/6 | - | 7/6 | - |
| 2023 | 1/1 | - | 1/1 | - |
| Career | 16/19 | 0/3 | 16/16 | - |
Averages · Last 90 days (3 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Feb 23, 2026 | PMR Maha Open | 2nd Round Qualifying | Maks Kasnikowski | Hard | 46 46 | L |
| Feb 22, 2026 | PMR Maha Open | 1st Round Qualifying | Philip Sekulic | Hard | 76 60 | W |
| Feb 15, 2026 | Delhi Open 2026 | 1st Round Qualifying | Grigoriy Lomakin | Hard | 36 62 67 | L |
| Nov 24, 2025 | Manama 2 | Round of 32 | Mirza Basic | Hard | 46 16 | L |
| Nov 18, 2025 | Soma Bay | Round of 32 | Vadym Ursu | Hard | 36 16 | L |
| Oct 26, 2025 | Seoul | 1st Round Qualifying | Evan Zhu | Hard | 16 75 67 | L |
| Oct 20, 2025 | Suzhou | 1st Round Qualifying | Nitin Kumar Sinha | Hard | 75 62 | W |
| Oct 12, 2025 | Shenzhen (Futian) | 1st Round Qualifying | Mitsuki Wei Kang Leong | Hard | 46 76 76 | W |
| Jul 6, 2025 | Iasi | 1st Round Qualifying | Hynek Barton | Clay | 16 57 | L |
| Jun 15, 2025 | Royan | 1st Round Qualifying | Lucas Marionneau | Clay | 61 57 36 | L |
Egor Agafonov is currently ranked #618 in the ATP singles rankings with 59 points.
Egor Agafonov (ATP #618) has a career win-loss record of 16-19 (45.7% win rate) and has won 0 ATP titles.
Smashrs tracks Egor'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.
