WTA Tour
WTA World Ranking - 0 pts
⚔️ The Gladiator
A fierce competitor who thrives in physical battles and tight sets. Combines solid serve and return with an unyielding fighting spirit that makes every match a war of attrition.
Strong against
Weak against
Age
33
Plays
Left-Handed
15
Wins
21
Losses
41.7%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2023 | 1/3 | - | 1/3 | - |
| 2022 | 4/1 | 3/0 | 1/1 | - |
| 2021 | 0/1 | - | 0/1 | - |
| 2020 | 3/3 | - | 3/3 | - |
| 2019 | 2/2 | - | 2/2 | - |
| 2018 | 1/3 | - | 1/3 | - |
| 2017 | 1/4 | - | 1/4 | - |
| 2016 | 3/3 | - | 3/3 | - |
| 2015 | 0/1 | - | 0/1 | - |
| Career | 15/21 | 3/0 | 12/21 | - |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Oct 9, 2023 | Seoul | Round of 32 | Arantxa Rus | Hard | 16 36 | L |
| Aug 28, 2023 | Us Open | Round of 128 | Marketa Vondrousova | Hard | 36 06 | L |
| Jan 30, 2023 | Hua Hin | Round of 16 | Heather Watson | Hard | 36 75 46 | L |
| Jan 30, 2023 | Hua Hin | Round of 32 | Elena Gabriela Ruse | Hard | 64 16 64 | W |
| Sep 19, 2022 | Seoul | Round of 32 | Dayeon Back | Hard | 61 61 | W |
| Sep 19, 2022 | Seoul | Round of 16 | Ekaterina Alexandrova | Hard | 16 36 | L |
| Apr 14, 2022 | BJK Cup G1 RR: CHN vs KOR | Round Robin | Qiang Wang | Clay | 26 62 75 | W |
| Apr 13, 2022 | BJK Cup G1 RR: KOR vs NZL | Round Robin | Vivian Yang | Clay | 60 62 | W |
| Apr 12, 2022 | BJK Cup G1 RR: KOR vs INA | Round Robin | Beatrice Gumulya | Clay | 60 63 | W |
| Aug 2, 2021 | San Jose | Round of 32 | Kristina Mladenovic | Hard | 46 46 | L |
Na Lae Han is currently ranked #9999 in the WTA singles rankings with 0 points.
Na Lae Han (WTA #9999) has a career win-loss record of 15-21 (41.7% win rate) and has won 0 WTA titles.
Smashrs tracks Na'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.
