ATP Tour
ATP World Ranking - 3 pts
Archetype analysis coming soon for Luis.
Age
32
Height
5'10" (178 cm)
Weight
75 kg (165 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#1098 (2022-08-29)
4
Wins
12
Losses
25%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 1/1 | 1/1 | - | - |
| 2025 | 0/1 | 0/1 | - | - |
| 2024 | 1/2 | 1/2 | - | - |
| 2023 | 1/2 | 1/2 | - | - |
| 2022 | 0/1 | 0/1 | - | - |
| 2017 | 1/1 | 1/1 | - | - |
| 2016 | 0/2 | 0/2 | - | - |
| 2015 | 0/2 | 0/2 | - | - |
| Career | 4/12 | 4/12 | - | - |
Averages · Last 90 days (1 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 3, 2026 | Brazzaville Challenger | 2nd Round Qualifying | Zachary Mintz | Clay | 62 31 | W |
| Mar 1, 2026 | Munich Ultra Paraguay Open | 1st Round Qualifying | Franco Ribero | Clay | 16 67 | L |
| Oct 19, 2025 | Costa do Sauipe | 1st Round Qualifying | Daniel Dutra da Silva | Clay | 06 26 | L |
| Sep 22, 2024 | Antofagasta | 1st Round Qualifying | Valerio Aboian | Clay | 36 46 | L |
| Sep 15, 2024 | Cali | 1st Round Qualifying | Drew Van Orderlain | Clay | 63 75 | W |
| Aug 18, 2024 | Dobrich 1 | 1st Round Qualifying | Andrej Martin | Clay | 06 57 | L |
| Oct 22, 2023 | Curitiba | 1st Round Qualifying | Pedro Boscardin Dias | Clay | 57 57 | L |
| Jul 3, 2023 | Santa Fe | 2nd Round Qualifying | Igor Gimenez | Clay | 63 36 06 | L |
| Jul 2, 2023 | Santa Fe | 1st Round Qualifying | Nicolas Hollender | Clay | 76 61 | W |
| Mar 6, 2022 | Santiago | 1st Round Qualifying | Daniel Dutra da Silva | Clay | 06 26 | L |
AAT Challenger Santander Tucuman
Luis Britto is currently ranked #1565 in the ATP singles rankings with 3 points.
Luis Britto (ATP #1565) has a career win-loss record of 4-12 (25% win rate) and has won 0 ATP titles.
Smashrs tracks Luis'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.
