ATP Tour
ATP World Ranking - 145 pts
🤖 Servebot
Lives and dies by the serve. Racks up free points with aces and unreturnable deliveries, holding serve with ease. Return games are the weaker side, making break points critical.
Strong against
Weak against
Age
29
Height
6'0" (183 cm)
Weight
80 kg (176 lbs)
Plays
Right-Handed, One-Handed BH
Career-High Ranking
#160 (2025-07-14)
104
Wins
104
Losses
50%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 13/6 | - | 13/6 | - |
| 2025 | 17/23 | 0/1 | 11/17 | 6/5 |
| 2024 | 32/27 | 1/1 | 27/21 | 4/5 |
| 2023 | 29/31 | 0/3 | 23/24 | 6/4 |
| 2022 | 13/15 | 0/2 | 13/13 | - |
| 2021 | 0/2 | - | 0/2 | - |
| Career | 104/104 | 1/7 | 87/83 | 16/14 |
Averages · Last 90 days (18 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Apr 19, 2026 | WUNING OPEN 2 | Final | Fajing Sun | Hard | 75 46 57 | L |
| Apr 18, 2026 | WUNING OPEN 2 | Semifinals | Charles Broom | Hard | 63 16 76 | W |
| Apr 17, 2026 | WUNING OPEN 2 | Quarterfinals | Blake Ellis | Hard | 63 63 | W |
| Apr 16, 2026 | WUNING OPEN 2 | Round of 16 | Keegan Smith | Hard | 36 75 76 | W |
| Apr 15, 2026 | WUNING OPEN 2 | Round of 32 | Hayato Matsuoka | Hard | 63 76 | W |
| Apr 11, 2026 | WUNING OPEN 1 | Semifinals | Harry Wendelken | Hard | 26 26 | L |
| Apr 10, 2026 | WUNING OPEN 1 | Quarterfinals | Kody Pearson | Hard | 76 64 | W |
| Apr 9, 2026 | WUNING OPEN 1 | Round of 16 | Alastair Gray | Hard | 64 64 | W |
| Apr 7, 2026 | WUNING OPEN 1 | Round of 32 | Pavle Marinkov | Hard | 62 63 | W |
| Mar 31, 2026 | Koyushokucho Miyazaki Challenger | Round of 32 | Omar Jasika | Hard | 67 46 | L |
Li Tu is currently ranked #345 in the ATP singles rankings with 145 points.
Li Tu (ATP #345) has a career win-loss record of 104-104 (50% win rate) and has won 0 ATP titles.
Smashrs tracks Li'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.