ATP Tour
ATP World Ranking - 23 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
6'3" (191 cm)
Weight
93 kg (205 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#712 (2024-07-01)
11
Wins
21
Losses
34.4%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 0/3 | - | 0/3 | - |
| 2025 | 4/6 | - | 4/6 | - |
| 2024 | 0/5 | - | 0/5 | - |
| 2023 | 5/3 | - | 5/3 | - |
| 2019 | 0/3 | - | 0/3 | - |
| 2016 | 2/1 | 2/1 | - | - |
| Career | 11/21 | 2/1 | 9/20 | - |
Averages · Last 90 days (3 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Apr 15, 2026 | WUNING OPEN 2 | Round of 32 | Khumoyun Sultanov | Hard | 36 67 | L |
| Feb 8, 2026 | Brisbane Tennis International #2 | 1st Round Qualifying | Oliver Anderson | Hard | 26 46 | L |
| Feb 1, 2026 | Brisbane Tennis International #1 | 1st Round Qualifying | Shinji Hazawa | Hard | 63 06 16 | L |
| Oct 22, 2025 | Suzhou | Round of 16 | Yu Hsiou Hsu | Hard | 16 46 | L |
| Oct 21, 2025 | Suzhou | Round of 32 | Rigele Te | Hard | 46 76 62 | W |
| Oct 14, 2025 | Shenzhen (Futian) | Round of 32 | Yuta Shimizu | Hard | 36 75 63 | W |
| Oct 13, 2025 | Shenzhen (Futian) | 2nd Round Qualifying | Koki Matsuda | Hard | 64 64 | W |
| Oct 12, 2025 | Shenzhen (Futian) | 1st Round Qualifying | Dominik Palan | Hard | 36 64 76 | W |
| Oct 6, 2025 | Jinan | 1st Round Qualifying | Denis Yevseyev | Hard | 57 46 | L |
| Sep 23, 2025 | Beijing | 1st Round Qualifying | Quentin Halys | Hard | 06 26 | L |
Aoran Wang is currently ranked #912 in the ATP singles rankings with 23 points.
Aoran Wang (ATP #912) has a career win-loss record of 11-21 (34.4% win rate) and has won 0 ATP titles.
Smashrs tracks Aoran'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.
