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
23
Height
6'2" (188 cm)
Weight
73 kg (161 lbs)
Plays
Right-Handed
Career-High Ranking
#1051 (2025-08-25)
9
Wins
15
Losses
37.5%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 2/5 | - | 2/5 | - |
| 2025 | 7/8 | 1/2 | 6/6 | - |
| 2024 | 0/1 | - | 0/1 | - |
| 2023 | 0/1 | - | 0/1 | - |
| Career | 9/15 | 1/2 | 8/13 | - |
Averages · Last 90 days (3 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jun 11, 2026 | Futures 2026 | Yannik Kelm | Hard | L | ||
| Apr 13, 2026 | M15 CEUTA | Round of 32 | Rafael Izquierdo Luque | Hard | 26 16 | L |
| Mar 23, 2026 | M15 Altamura | Round of 32 | Gabriel Sardo | Hard | 75 62 | W |
| Mar 23, 2026 | M15 Altamura | Round of 16 | Massimo Giunta | Hard | 36 64 67 | L |
| Mar 16, 2026 | M15 Sharm ElSheikh | Round of 32 | Seydina Andre | Hard | 67 57 | L |
| Mar 9, 2026 | M15 Sharm ElSheikh | Round of 16 | Alessandro Pecci | Hard | 46 76 26 | L |
| Mar 9, 2026 | M15 Sharm ElSheikh | Round of 32 | Mykyta Mashtakov | Hard | 76 61 | W |
| Feb 23, 2026 | M25 Pszczyna | Round of 32 | Mae Malige | Hard | 62 16 36 | L |
| Nov 24, 2025 | M15 Sharm ElSheikh | Round of 16 | Ognjen Milic | Hard | 46 16 | L |
| Nov 24, 2025 | M15 Sharm ElSheikh | Round of 32 | James Beaven | Hard | 64 36 75 | W |
Marcel Kamrowski is currently ranked #1233 in the ATP singles rankings with 9 points.
Marcel Kamrowski (ATP #1233) has a career win-loss record of 9-15 (37.5% win rate) and has won 0 ATP titles.
Smashrs tracks Marcel'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.
