ATP Tour
ATP World Ranking - 36 pts
👑 The Complete Package
Elite across every dimension - dominant serve, elite return game, and the mental toughness to close out tight matches. These players impose their will regardless of surface or opponent style.
Strong against
Weak against
Age
26
Height
5'8" (173 cm)
Weight
68 kg (150 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#637 (2025-07-21)
11
Wins
26
Losses
29.7%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 0/3 | - | 0/3 | - |
| 2025 | 1/7 | - | 1/7 | - |
| 2024 | 5/9 | - | 5/9 | - |
| 2023 | 5/6 | - | 5/6 | - |
| 2018 | 0/1 | - | 0/1 | - |
| Career | 11/26 | - | 11/26 | - |
Averages · Last 90 days (3 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Apr 14, 2026 | WUNING OPEN 2 | Round of 32 | Blake Ellis | Hard | 64 67 46 | L |
| Feb 8, 2026 | Brisbane Tennis International #2 | 1st Round Qualifying | Ryo Tabata | Hard | 26 46 | L |
| Feb 1, 2026 | Brisbane Tennis International #1 | 1st Round Qualifying | Matt Hulme | Hard | 62 67 36 | L |
| Oct 12, 2025 | Shenzhen (Futian) | 1st Round Qualifying | Xiaofei Wang | Hard | 36 36 | L |
| Oct 7, 2025 | Jinan | 2nd Round Qualifying | Petr Bar Biryukov | Hard | 26 46 | L |
| Oct 6, 2025 | Jinan | 1st Round Qualifying | Omar Jasika | Hard | 62 64 | W |
| Sep 9, 2025 | Guangzhou (Huangpu) | Round of 32 | Oliver Crawford | Hard | 36 46 | L |
| Sep 2, 2025 | Shanghai | Round of 32 | Daniel Evans | Hard | 46 46 | L |
| Aug 26, 2025 | Zhangjiagang | Round of 32 | Rio Noguchi | Hard | 67 16 | L |
| May 4, 2025 | Wuxi | 1st Round Qualifying | Jake Delaney | Hard | 36 64 26 | L |
Linang Xiao is currently ranked #785 in the ATP singles rankings with 36 points.
Linang Xiao (ATP #785) has a career win-loss record of 11-26 (29.7% win rate) and has won 0 ATP titles.
Smashrs tracks Linang'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.
