ATP Tour
ATP World Ranking - 65 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
28
Height
6'3" (191 cm)
Weight
85 kg (187 lbs)
Plays
Left-Handed, Two-Handed BH
Career-High Ranking
#191 (2023-07-17)
21
Wins
33
Losses
38.9%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2023 | 7/11 | 6/10 | - | 1/1 |
| 2022 | 6/10 | 5/7 | 1/1 | 0/2 |
| 2021 | 5/6 | 4/3 | 1/3 | - |
| 2020 | 1/2 | 1/2 | - | - |
| 2018 | 0/2 | 0/1 | - | - |
| 2016 | 1/1 | - | 1/1 | - |
| 2015 | 1/1 | 1/1 | - | - |
| Career | 21/33 | 17/24 | 3/5 | 1/3 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Aug 9, 2023 | Banja Luka | Round of 16 | Marko Topo | Clay | 36 46 | L |
| Aug 8, 2023 | Banja Luka | Round of 32 | Marco Cecchinato | Clay | 62 61 | W |
| Aug 1, 2023 | San Marino | Round of 32 | Kimmer Coppejans | Clay | 46 46 | L |
| Jul 27, 2023 | Zug | Round of 16 | Jurij Rodionov | Clay | 26 46 | L |
| Jul 25, 2023 | Zug | Round of 32 | Remy Bertola | Clay | 62 63 | W |
| Jul 17, 2023 | Bastad | Round of 32 | Luca Van Assche | Clay | 67 46 | L |
| Jul 11, 2023 | Iasi | Round of 32 | Cristian Garin | Clay | 57 26 | L |
| Jul 3, 2023 | Wimbledon | 1st Round Qualifying | Dane Sweeny | Grass | 75 62 | W |
| Jul 3, 2023 | Wimbledon | 2nd Round Qualifying | Michael Mmoh | Grass | 63 16 46 | L |
| Jun 20, 2023 | Blois | Round of 32 | Kyrian Jacquet | Clay | 46 36 | L |
Dragos Nicolae Madaras is currently ranked #581 in the ATP singles rankings with 65 points.
Dragos Nicolae Madaras (ATP #581) has a career win-loss record of 21-33 (38.9% win rate) and has won 0 ATP titles.
Smashrs tracks Dragos'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.
