ATP Tour
ATP World Ranking - 63 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
29
Height
5'10" (178 cm)
Weight
72 kg (159 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#316 (2024-08-05)
24
Wins
47
Losses
33.8%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 0/3 | - | 0/3 | - |
| 2025 | 8/9 | 0/1 | 8/8 | - |
| 2024 | 5/14 | 1/4 | 4/10 | - |
| 2023 | 5/9 | 0/4 | 5/5 | - |
| 2022 | 6/9 | 1/5 | 5/4 | - |
| 2021 | 0/3 | 0/2 | 0/1 | - |
| Career | 24/47 | 2/16 | 22/31 | - |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Feb 8, 2026 | Tenerife Challenger 2 | 1st Round Qualifying | Abdullah Shelbayh | Hard | 16 75 36 | L |
| Feb 3, 2026 | Koblenz Tennis Open | Round of 32 | Pavel Kotov | Hard | 26 26 | L |
| Jan 26, 2026 | Open Quimper Bretagne Occidentale | 1st Round Qualifying | Maks Kasnikowski | Hard | 46 26 | L |
| Nov 29, 2025 | Athens | Semifinals | Arthur Fery | Hard | 64 46 26 | L |
| Nov 26, 2025 | Athens | Round of 16 | Michele Ribecai | Hard | 61 36 61 | W |
| Nov 25, 2025 | Athens | Round of 32 | Pavlos Tsitsipas | Hard | 61 63 | W |
| Nov 24, 2025 | Athens | 2nd Round Qualifying | Oscar Jose Gutierrez | Hard | 61 75 | W |
| Oct 19, 2025 | Hamburg | 1st Round Qualifying | Denis Yevseyev | Hard | 64 67 06 | L |
| Oct 13, 2025 | Hersonissos 6 | 2nd Round Qualifying | Max Basing | Hard | 63 67 46 | L |
| Oct 5, 2025 | Hersonissos 5 | 1st Round Qualifying | Peter Fajta | Hard | 67 64 46 | L |
Alberto Barroso Campos is currently ranked #598 in the ATP singles rankings with 63 points.
Alberto Barroso Campos (ATP #598) has a career win-loss record of 24-47 (33.8% win rate) and has won 0 ATP titles.
Smashrs tracks Alberto'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.
