ATP Tour
ATP World Ranking - 386 pts
💥 Big Hitter
Overpowers opponents with raw shot speed and aggressive ball-striking. Generates winners from both wings and keeps points short with high-risk, high-reward tennis.
Strong against
Weak against
Age
23
Height
6'3" (191 cm)
Weight
85 kg (187 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#145 (2025-09-22)
128
Wins
88
Losses
59.3%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 11/8 | - | 10/8 | 1/0 |
| 2025 | 40/24 | 6/4 | 29/17 | 5/3 |
| 2024 | 35/28 | 0/3 | 30/22 | 5/3 |
| 2023 | 38/24 | - | 38/24 | - |
| 2022 | 4/4 | - | 4/4 | - |
| Career | 128/88 | 6/7 | 111/75 | 11/6 |
Averages · Last 90 days (10 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jun 4, 2026 | Lexus Birmingham Open | Round of 16 | Harry Wendelken | Grass | 64 61 | W |
| Jun 3, 2026 | Lexus Birmingham Open | Round of 32 | Leandro Riedi | Grass | 62 76 | W |
| May 24, 2026 | Roland Garros | 1st Round Qualifying | Roman Safiullin | Clay | 46 46 | L |
| May 9, 2026 | Wuxi Open | Semifinals | Soonwoo Kwon | Hard | 67 36 | L |
| May 8, 2026 | Wuxi Open | Quarterfinals | Dane Sweeny | Hard | 75 63 | W |
| May 7, 2026 | Wuxi Open | Round of 16 | Mikhail Kukushkin | Hard | 76 67 76 | W |
| May 6, 2026 | Wuxi Open | Round of 32 | Renta Tokuda | Hard | 76 64 | W |
| May 1, 2026 | Jiangxi Open | Quarterfinals | Fajing Sun | Hard | 63 36 46 | L |
| Apr 30, 2026 | Jiangxi Open | Round of 16 | Marat Sharipov | Hard | 64 64 | W |
| Apr 29, 2026 | Jiangxi Open | Round of 32 | Akira Santillan | Hard | 63 62 | W |
Lexus Birmingham Open
Mark Lajal is currently ranked #157 in the ATP singles rankings with 386 points.
Mark Lajal (ATP #157) has a career win-loss record of 128-88 (59.3% win rate) and has won 0 ATP titles.
Smashrs tracks Mark'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.
