ATP Tour
ATP World Ranking - 246 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
22
Height
6'4" (193 cm)
Weight
85 kg (187 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#214 (2026-02-02)
56
Wins
28
Losses
66.7%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 15/5 | - | 15/5 | - |
| 2025 | 32/18 | - | 32/18 | - |
| 2024 | 8/4 | - | 8/4 | - |
| 2023 | 1/1 | - | 1/1 | - |
| Career | 56/28 | - | 56/28 | - |
Averages · Last 90 days (19 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Apr 21, 2026 | Gwangju Open | Round of 32 | Alex Bolt | Hard | 76 36 61 | W |
| Apr 14, 2026 | Renault Busan Open Tennis Championships | Round of 32 | Sho Shimabukuro | Hard | 36 36 | L |
| Apr 10, 2026 | WUNING OPEN 1 | Quarterfinals | Pavel Kotov | Hard | 62 67 36 | L |
| Apr 8, 2026 | WUNING OPEN 1 | Round of 16 | Daniil Ostapenkov | Hard | 63 63 | W |
| Apr 6, 2026 | WUNING OPEN 1 | Round of 32 | Tom Paris | Hard | 67 63 64 | W |
| Feb 25, 2026 | PMR Maha Open | Round of 16 | Alastair Gray | Hard | 64 67 57 | L |
| Feb 24, 2026 | PMR Maha Open | Round of 32 | Mitsuki Wei Kang Leong | Hard | 46 62 76 | W |
| Feb 14, 2026 | Coromandel Chennai Open | Semifinals | Frederico Ferreira Silva | Hard | 46 26 | L |
| Feb 13, 2026 | Coromandel Chennai Open | Quarterfinals | Petr Bar Biryukov | Hard | 76 46 75 | W |
| Feb 12, 2026 | Coromandel Chennai Open | Round of 16 | Philip Sekulic | Hard | 46 75 76 | W |
Gwangju Open
Ilia Simakin is currently ranked #227 in the ATP singles rankings with 246 points.
Ilia Simakin (ATP #227) has a career win-loss record of 56-28 (66.7% win rate) and has won 0 ATP titles.
Smashrs tracks Ilia'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.
