ATP Tour
ATP World Ranking - 9 pts
🛡️ The Spoiler
A defensive specialist who retrieves better than a Grinder but without the elite return game of a Counterpuncher. Neutralises power hitters through court coverage and consistency - and uniquely, holds a winning record against The Complete Package.
Strong against
Weak against
Age
28
Height
5'7" (170 cm)
Weight
67 kg (148 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#768 (2024-07-22)
6
Wins
15
Losses
28.6%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 4/6 | - | 4/6 | - |
| 2025 | 2/8 | 1/2 | 1/6 | - |
| 2024 | 0/1 | - | 0/1 | - |
| Career | 6/15 | 1/2 | 5/13 | - |
Averages · Last 90 days (1 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Mar 23, 2026 | M15 Ahmedabad | Round of 32 | Rohan Mehra | Hard | 16 63 46 | L |
| Mar 16, 2026 | M25 Mumbai | Round of 32 | Raghav Jaisinghani | Hard | 63 62 | W |
| Mar 16, 2026 | M25 Mumbai | Round of 16 | Alexandr Binda | Hard | 67 26 | L |
| Mar 9, 2026 | M25 Kolkata | Round of 32 | Tarun Karra | Hard | 62 61 | W |
| Mar 9, 2026 | M25 Kolkata | Round of 16 | Philip Sekulic | Hard | 26 16 | L |
| Feb 15, 2026 | Delhi Open 2026 | 1st Round Qualifying | Ioannis Xilas | Hard | 76 26 36 | L |
| Feb 10, 2026 | Coromandel Chennai Open | Round of 32 | Petr Bar Biryukov | Hard | 36 46 | L |
| Feb 8, 2026 | Coromandel Chennai Open | 1st Round Qualifying | Carl Holder | Hard | 62 60 | W |
| Jan 19, 2026 | M15 Hyderabad | Round of 32 | Grigoriy Lomakin | Hard | 64 76 | W |
| Jan 19, 2026 | M15 Hyderabad | Round of 16 | Karan Singh | Hard | 57 63 16 | L |
Ishaque Eqbal is currently ranked #1232 in the ATP singles rankings with 9 points.
Ishaque Eqbal (ATP #1232) has a career win-loss record of 6-15 (28.6% win rate) and has won 0 ATP titles.
Smashrs tracks Ishaque'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.