ATP Tour
ATP World Ranking - 7 pts
⚙️ Grinder
Wears opponents down with relentless consistency and deep margins. Doesn't flash the most winners but rarely misses, extending rallies until the opponent cracks under pressure.
Strong against
Weak against
Age
22
Height
6'2" (188 cm)
Weight
80 kg (176 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#550 (2024-09-30)
12
Wins
21
Losses
36.4%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 2/1 | - | 2/1 | - |
| 2024 | 6/9 | 6/5 | 0/3 | 0/1 |
| 2023 | 4/7 | 4/6 | - | - |
| 2022 | 0/4 | 0/2 | 0/1 | - |
| Career | 12/21 | 10/13 | 2/5 | 0/1 |
Averages · Last 90 days (3 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Feb 3, 2026 | Koblenz Tennis Open | Round of 32 | Max Hans Rehberg | Hard | 36 26 | L |
| Feb 2, 2026 | Koblenz Tennis Open | 2nd Round Qualifying | John Sperle | Hard | 63 75 | W |
| Feb 1, 2026 | Koblenz Tennis Open | 1st Round Qualifying | Kenny De Schepper | Hard | 26 64 64 | W |
| Aug 5, 2024 | Bonn | 2nd Round Qualifying | Martin Klizan | Clay | 63 36 46 | L |
| Aug 4, 2024 | Bonn | 1st Round Qualifying | Mikalai Haliak | Clay | 61 62 | W |
| Jul 21, 2024 | Segovia | 1st Round Qualifying | Ivan Marrero Curbelo | Hard | 46 26 | L |
| Jul 8, 2024 | Braunschweig | 2nd Round Qualifying | Michael Geerts | Clay | 46 46 | L |
| Jul 7, 2024 | Braunschweig | 1st Round Qualifying | Hazem Naw | Clay | 61 64 | W |
| Jul 3, 2024 | Karlsruhe | Round of 16 | Jozef Kovalik | Clay | 75 36 46 | L |
| Jul 2, 2024 | Karlsruhe | Round of 32 | Gonzalo Oliveira | Clay | 63 62 | W |
Liam Gavrielides is currently ranked #1264 in the ATP singles rankings with 7 points.
Liam Gavrielides (ATP #1264) has a career win-loss record of 12-21 (36.4% win rate) and has won 0 ATP titles.
Smashrs tracks Liam'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.
