| Name: | Luo, Xiao-Wen (Ken) | 罗孝文 |
|
| Club: | Hongkong Tnf50 Beijing Tnf50 | ||
| Residence: | |||
| Year of birth: | 1990 | (Cat. german: M35) | |
| Date of birth: | 00.00.0000 | (Cat. internat.: M35) | |
| Nationality: | CHN ![]() |
China | |
| RunnerID: | 763156 | ||
7 search results (7 Events, 530 km). (More)
| 2025 | 1 Event, 60 km (More) | ||||
|---|---|---|---|---|---|
| 18.10.2025 | Ninghai Ultra Trail - 50km (CHN) | 60km | |||
| 13:11:14 h | Luo, Xiao-Wen (Ken) | Vibram | Overall: 1455 | M: 978 | Cat M23: 231 |
| 2024 | 1 Event, 100 km (More) | ||||
| 28.-29.12.2024 | TORX CHN100 Shenzhen - 100km (CHN) | 100km | |||
| 23:05:34 h | Luo, Xiao-Wen (Ken) | Overall: 315 | M: 250 | Cat M23: 61 | |
| 2023 | 1 Event, 70 km (More) | ||||
| 08.-09.07.2023 | Columbia 70 Ultra Trail Chongli Challenge Race (CHN) | 70km | |||
| 17:03:50 h | Luo, Xiao-Wen (Ken) | Overall: 246 | M: 186 | Cat M23: 51 | |
| 2017 | 1 Event, 100 km (More) | ||||
| 14.01.2017 | Hong Kong 100 Ultra Trail Race (HKG) | 100km | |||
| 15:29:19 h | Luo, Xiao-Wen (Ken) | Hongkong Tnf50 Beijing Tnf50 | Overall: 220 | M: 198 | Cat M23: 72 |
| 2016 | 3 Events, 200 km (More) | ||||
| 05.06.2016 | Guangzhou longdong Trail 50 (CHN) | 50km | |||
| 10:25:15 h | Luo, Xiao-Wen (Ken) | Vibram | Overall: 50 | M: 44 | Cat M23: 20 |
| 07.05.2016 | The North Face 50 China (CHN) | 50km | |||
| 8:36:37 h | Luo, Xiao-Wen (Ken) | Overall: 202 | M: 180 | Cat M23: 101 | |
| 23.-24.01.2016 | Hong Kong 100 Ultra Trail Race (HKG) | 100km | |||
| 18:59:41 h | Luo, Xiao-Wen (Ken) | Vibram | Overall: 469 | M: 417 | Cat M23: 149 |
Personal bests
Your list of personal best performances only contains performances of races which can be included into rankings.
In brackets rank in yearly international/national rankings.
| PB | 2025 | 2024 | 2023 | 2017 | 2016 |
|---|
Comparison table
Comparison of performances in races with multiple participations
| 2025 | 2024 | 2023 | 2017 | 2016 | ||
|---|---|---|---|---|---|---|
| Hong Kong 100 Ultra Trail Race | 2 | 15:29:19 | 18:59:41 |





