ATP Tour
ATP World Ranking - 141 pts
🪃 Counterpuncher
Turns defense into offense. Absorbs pace, redirects with precision, and thrives in long rallies by letting opponents beat themselves. Excels at converting break points when they matter most.
Strong against
Weak against
Age
22
Height
6'3" (191 cm)
Weight
82 kg (181 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#225 (2024-07-15)
64
Wins
72
Losses
47.1%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 3/9 | - | 3/9 | - |
| 2025 | 10/13 | - | 10/13 | - |
| 2024 | 31/28 | 0/2 | 31/25 | 0/1 |
| 2023 | 18/16 | - | 18/16 | - |
| 2022 | 2/6 | - | 2/6 | - |
| Career | 64/72 | 0/2 | 64/69 | 0/1 |
Averages · Last 90 days (10 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Apr 19, 2026 | Gwangju Open | 1st Round Qualifying | Hiroki Moriya | Hard | 46 67 | L |
| Apr 14, 2026 | WUNING OPEN 2 | Round of 32 | Justin Boulais | Hard | 64 67 46 | L |
| Apr 8, 2026 | WUNING OPEN 1 | Round of 16 | Fajing Sun | Hard | 67 36 | L |
| Apr 7, 2026 | WUNING OPEN 1 | Round of 32 | Maximus Jones | Hard | 62 67 76 | W |
| Apr 6, 2026 | WUNING OPEN 1 | 2nd Round Qualifying | Yuki Mochizuki | Hard | 61 64 | W |
| Feb 22, 2026 | PMR Maha Open | 1st Round Qualifying | Egor Agafonov | Hard | 67 06 | L |
| Feb 17, 2026 | Delhi Open 2026 | Round of 32 | Dimitar Kuzmanov | Hard | 46 57 | L |
| Feb 12, 2026 | Coromandel Chennai Open | Round of 16 | Ilia Simakin | Hard | 64 57 67 | L |
| Feb 9, 2026 | Coromandel Chennai Open | Round of 32 | Alastair Gray | Hard | 63 76 | W |
| Feb 2, 2026 | Brisbane Tennis International #1 | Round of 32 | Rei Sakamoto | Hard | 36 46 | L |
Philip Sekulic is currently ranked #355 in the ATP singles rankings with 141 points.
Philip Sekulic (ATP #355) has a career win-loss record of 64-72 (47.1% win rate) and has won 0 ATP titles.
Smashrs tracks Philip'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.
