BIX T8 Stairmaster Twins 2025

sábado, 17 de mayo de 2025 09:01 (GMT+8) - Resultados finales

Información de la carrera
Deporte: Trail running
Ubicación: Hong Kong, Hong Kong
Tipo de salida: Salida en masa
Corredor: 86
Vueltas: 2
Timing mode: Master / Helper
Gestionado con: Xiaomi 2405CRPFDG
Programa: Webscorer PRO 7.3
Actualizado: sábado, 17 de mayo de 2025 13:45 (GMT+8)

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BIX T8 Stairmaster Twins 2025

Puesto Dorsal Nombre del corredor Categoría Stanley Gap Road
1 1060 Tam Tsz Hong Male / < 40 45:49.4 -+0,00%100,00%
2 3045 Arnaud Mauduit Male / 40 + 46:35.4 +0:46.0+1,67%98,35%
3 1028 Jack Chan Male / 40 + 50:10.8 +4:21.4+9,51%91,32%
4 1061 Pierre Marconnet Male / < 40 51:41.6 +5:52.2+12,81%88,64%
5 1006 David Wai Male / < 40 52:12.0 +6:22.6+13,92%87,78%
6 1043 Alan Zagury Male / 40 + 52:36.8 +6:47.3+14,81%87,09%
7 3009 Richard Barnes Male / < 40 52:44.3 +6:54.9+15,09%86,89%
8 1002 Chen Jackson Male / < 40 53:37.5 +7:48.0+17,02%85,45%
9 3002 Sergio Real Male / 40 + 54:17.0 +8:27.6+18,46%84,42%
10 1058 Sherman Lam Male / 40 + 54:48.4 +8:59.0+19,60%83,61%
11 3001 Rui Alves Male / 40 + 55:57.9 +10:08.5+22,13%81,88%
12 3013 Tsz Kwan Lee Female / < 40 56:26.9 +10:37.4+23,18%81,18%
13 3040 Wai Sun Luk Male / 40 + 56:42.3 +10:52.8+23,74%80,81%
14 1007 N Fung Female / < 40 56:46.4 +10:56.9+23,89%80,71%
15 3008 Elliot Froidevaux Male / 40 + 57:07.0 +11:17.6+24,65%80,23%
16 3003 Ricardo Oliveira Male / 40 + 57:39.3 +11:49.9+25,82%79,48%
17 1038 Chun Ho Wong Male / < 40 58:01.7 +12:12.3+26,63%78,97%
18 3020 Christine Hughes Female / < 40 58:34.5 +12:45.0+27,82%78,23%
19 1035 Chi Yip Chau Male / 40 + 58:45.7 +12:56.3+28,24%77,98%
20 3016 G Carranza Male / < 40 59:15.7 +13:26.3+29,33%77,32%
21 3039 Juliamit Lepcha Female / < 40 59:30.6 +13:41.2+29,87%77,00%
22 3010 Jonette Helene Oeksne Dimblad Female / 40 + 1:00:55.1 +15:05.6+32,94%75,22%
23 1051 Dolly Vargas Female / 40 + 1:01:10.5 +15:21.1+33,50%74,91%
24 1018 Kin Hang Ma Male / < 40 1:01:50.0 +16:00.6+34,94%74,11%
25 1003 Boussard Hugo Male / < 40 1:05:01.2 +19:11.8+41,89%70,48%
26 1059 Yukon Man Male / 40 + 1:05:06.2 +19:16.8+42,07%70,39%
27 1009 Chun Yin Chan Male / < 40 1:05:12.5 +19:23.1+42,30%70,27%
28 1054 Clare Au Young Female / 40 + 1:05:42.2 +19:52.8+43,38%69,74%
29 1005 Joshua Craddock Male / 40 + 1:06:04.4 +20:15.0+44,19%69,35%
30 3028 Wilson Cheung Male / 40 + 1:06:50.1 +21:00.7+45,85%68,56%
31 3043 Ignacio Azcoiti Yerro Male / < 40 1:07:43.3 +21:53.8+47,78%67,66%
32 3005 Joao Mexia Male / 40 + 1:08:06.7 +22:17.3+48,64%67,28%
33 1032 Rachelle Landicho Female / 40 + 1:08:36.0 +22:46.6+49,71%66,80%
34 1019 Esther Shum Female / 40 + 1:08:58.1 +23:08.7+50,51%66,44%
35 3030 Brayanclint Wong Male / < 40 1:09:11.5 +23:22.0+50,99%66,23%
36 3019 Zhenrui Chen Male / 40 + 1:09:16.2 +23:26.8+51,17%66,15%
37 1020 Wai Hang Chiang Male / < 40 1:09:59.2 +24:09.7+52,73%65,47%
38 1030 Marah Cabania Female / 40 + 1:11:56.7 +26:07.3+57,01%63,69%
39 3041 Hoi Yee Chan Female / < 40 1:12:09.3 +26:19.8+57,46%63,51%
40 1056 Jovie Bodegon Female / < 40 1:12:16.0 +26:26.5+57,70%63,41%
41 1049 Benjamin Archangeli Male / < 40 1:12:20.9 +26:31.5+57,89%63,34%
42 3027 Venus Ramos Female / < 40 1:12:35.6 +26:46.2+58,42%63,12%
43 3011 Roy Chen Male / 40 + 1:12:39.5 +26:50.0+58,56%63,07%
44 1012 Hon Fei Freeman Lam Male / < 40 1:12:47.8 +26:58.3+58,86%62,95%
45 3023 Tsz Yuen Cheung Male / < 40 1:13:35.4 +27:45.9+60,59%62,27%
46 3037 Diana Rose Puhi Female / < 40 1:14:40.4 +28:51.0+62,96%61,37%
47 1055 Choi Long Ng Female / 40 + 1:15:12.9 +29:23.4+64,14%60,92%
48 1021 Ka Cheung Wong Male / 40 + 1:15:17.2 +29:27.7+64,29%60,87%
49 1026 Nicole Hung Female / 40 + 1:15:24.9 +29:35.5+64,58%60,76%
50 1014 Dave Cheng Male / 40 + 1:15:30.4 +29:41.0+64,78%60,69%
51 1050 Isabel Weiss Female / < 40 1:15:51.4 +30:01.9+65,54%60,41%
52 1040 Carson Leong Male / < 40 1:15:56.6 +30:07.1+65,73%60,34%
53 1034 Kitty Kwong Female / 40 + 1:17:08.9 +31:19.5+68,36%59,40%
54 3036 Develyn Dacoco Female / 40 + 1:17:29.7 +31:40.3+69,12%59,13%
55 3042 Ewan Mcallan Male / 40 + 1:18:05.7 +32:16.3+70,43%58,68%
56 1011 John Wong Male / 40 + 1:18:25.9 +32:36.5+71,16%58,42%
57 3025 Aigul Safiullina Female / < 40 1:18:52.7 +33:03.3+72,14%58,09%
58 1033 Sin Yi Wong Female / < 40 1:18:58.2 +33:08.7+72,33%58,03%
59 1024 F Chu Female / < 40 1:19:10.4 +33:20.9+72,78%57,88%
60 3026 Ming Lung Hung Male / < 40 1:19:33.9 +33:44.4+73,63%57,59%
61 3018 Matthew Tong Male / 40 + 1:20:13.6 +34:24.2+75,08%57,12%
62 1023 Sze Ying Ng Female / 40 + 1:22:47.8 +36:58.4+80,69%55,34%
63 1057 Kenneth Lu Male / 40 + 1:22:53.4 +37:04.0+80,89%55,28%
64 3038 Romain Meallier Male / < 40 1:23:21.5 +37:32.1+81,91%54,97%
65 1013 Kwok Hung Wong Male / < 40 1:25:47.3 +39:57.9+87,22%53,41%
66 3033 Kensuke Ito Male / 40 + 1:26:03.5 +40:14.1+87,80%53,25%
67 3034 Miho Sato Female / 40 + 1:26:09.1 +40:19.6+88,00%53,19%
68 1047 Rachel Kwong Female / < 40 1:26:25.0 +40:35.6+88,59%53,03%
69 1029 Mai Margarico Female / 40 + 1:26:35.0 +40:45.6+88,95%52,92%
70 1046 Yi Sum Lau Female / < 40 1:26:41.5 +40:52.0+89,18%52,86%
71 1025 Joseph Li Male / 40 + 1:27:17.8 +41:28.4+90,51%52,49%
72 1001 Catherine Acob Female / 40 + 1:29:56.9 +44:07.4+96,29%50,94%
73 1041 Vangie Dinglasan Female / 40 + 1:30:41.0 +44:51.6+97,90%50,53%
74 3024 Keilem Ng Female / 40 + 1:32:08.9 +46:19.4+101,09%49,73%
75 3017 Wing Cheong Chan Male / < 40 1:33:19.5 +47:30.1+103,66%49,10%
76 1042 Tang Yui Chi Yoric Male / < 40 1:34:33.2 +48:43.7+106,34%48,46%
77 3021 Diogo Mendes Male / < 40 1:35:14.9 +49:25.4+107,86%48,11%
78 1022 Li Chi Wai Male / 40 + 1:36:21.6 +50:32.2+110,29%47,55%
79 1045 Toru Nishioka Male / 40 + 1:38:53.6 +53:04.1+115,81%46,34%
80 1048 Wing Chung Ng Male / < 40 1:39:05.1 +53:15.7+116,23%46,25%
81 1015 Yip Kan Lam Male / < 40 1:39:37.8 +53:48.3+117,42%45,99%
82 1031 Hoi Lap Alfred Chan Male / 40 + 1:45:58.8 +1:00:09.3+131,28%43,24%
83 3044 Pinky Hona Female / < 40 1:50:51.8 +1:05:02.4+141,94%41,33%
84 3031 Jerome Lu Male / < 40 1:57:15.3 +1:11:25.9+155,88%39,08%
85 1039 Carmelo Navarra Male / 40 + 2:07:41.1 +1:21:51.7+178,65%35,89%
86 1052 Yeong Wah Tho Male / 40 + 3:19:55.6 +2:34:06.2+336,30%22,92%