WTA Tour
WTA World Ranking - 429 pts
🎾 All-Court
Comfortable at every position on the court - baseline, net, or in transition. Adapts tactics match by match and point by point, making them unpredictable and difficult to game-plan against.
Strong against
Weak against
Age
32
Height
5'8" (173 cm)
Plays
Right-Handed
90
Wins
110
Losses
45%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2025 | 7/9 | - | 6/7 | 1/2 |
| 2024 | 12/15 | 0/4 | 9/8 | 3/3 |
| 2023 | 28/23 | 0/2 | 24/18 | 4/3 |
| 2022 | 8/12 | 2/3 | 6/7 | 0/2 |
| 2021 | 4/7 | 0/1 | 3/5 | 1/1 |
| 2020 | 4/5 | - | 4/5 | - |
| 2019 | 4/12 | 0/2 | 4/9 | 0/1 |
| 2018 | 5/7 | - | 5/7 | - |
| 2017 | 9/10 | - | 9/10 | - |
| 2016 | 5/5 | - | 5/5 | - |
| 2015 | 4/5 | - | 4/4 | 0/1 |
| Career | 90/110 | 2/12 | 79/85 | 9/13 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Oct 13, 2025 | Ningbo | Round of 32 | Emma Raducanu | Hard | 36 64 61 | W |
| Oct 13, 2025 | Ningbo | Quarterfinals | Diana Shnaider | Hard | 62 36 16 | L |
| Oct 13, 2025 | Ningbo | Round of 16 | Mirra Andreeva | Hard | 46 63 62 | W |
| Oct 6, 2025 | Wuhan | Round of 64 | Maya Joint | Hard | 57 67 | L |
| Sep 24, 2025 | Beijing | Round of 64 | Mirra Andreeva | Hard | 26 26 | L |
| Sep 24, 2025 | Beijing | Round of 128 | Moyuka Uchijima | Hard | 61 63 | W |
| Aug 25, 2025 | Us Open | Round of 128 | Anastasia Potapova | Hard | 46 64 26 | L |
| Aug 17, 2025 | Cleveland | Round of 32 | Elsa Jacquemot | Hard | 36 16 | L |
| Aug 7, 2025 | Cincinnati | Round of 128 | Lucia Bronzetti | Hard | 76 26 67 | L |
| Jul 27, 2025 | Montreal | Round of 32 | Suzan Lamens | Hard | 62 62 | W |
Lin Zhu is currently ranked #162 in the WTA singles rankings with 429 points.
Lin Zhu (WTA #162) has a career win-loss record of 90-110 (45% win rate) and has won 0 WTA titles.
Smashrs tracks Lin'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.