ATP Tour
ATP World Ranking - 285 pts
⚔️ The Gladiator
A fierce competitor who thrives in physical battles and tight sets. Combines solid serve and return with an unyielding fighting spirit that makes every match a war of attrition.
Strong against
Weak against
Age
19
Height
6'1" (185 cm)
Weight
73 kg (161 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#202 (2025-09-15)
43
Wins
37
Losses
53.8%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 10/7 | 1/3 | 9/4 | - |
| 2025 | 27/20 | 10/9 | 17/11 | - |
| 2024 | 6/10 | 0/4 | 6/6 | - |
| Career | 43/37 | 11/16 | 32/21 | - |
Averages · Last 90 days (14 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Apr 7, 2026 | Grand Prix Open Comunidad de Madrid by Silverway | Round of 32 | Jurij Rodionov | Clay | 46 36 | L |
| Mar 31, 2026 | Grand Prix Hassan II | Round of 32 | Alexandre Muller | Clay | 26 36 | L |
| Mar 27, 2026 | Guerri Napoli Tennis Cup | Quarterfinals | Vitaliy Sachko | Clay | 26 64 16 | L |
| Mar 24, 2026 | Guerri Napoli Tennis Cup | Round of 32 | Gabriele Piraino | Clay | 64 62 | W |
| Mar 1, 2026 | PMR Maha Open | Final | Felix Gill | Hard | 63 57 76 | W |
| Feb 28, 2026 | PMR Maha Open | Semifinals | Duje Ajdukovic | Hard | 75 62 | W |
| Feb 27, 2026 | PMR Maha Open | Quarterfinals | Alastair Gray | Hard | 64 62 | W |
| Feb 25, 2026 | PMR Maha Open | Round of 16 | Yuta Shimizu | Hard | 61 64 | W |
| Feb 24, 2026 | PMR Maha Open | Round of 32 | Takuya Kumasaka | Hard | 61 60 | W |
| Feb 20, 2026 | Delhi Open 2026 | Quarterfinals | Rei Sakamoto | Hard | 76 36 26 | L |
Federico Cina is currently ranked #205 in the ATP singles rankings with 285 points.
Federico Cina (ATP #205) has a career win-loss record of 43-37 (53.8% win rate) and has won 0 ATP titles.
Smashrs tracks Federico'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.
