Women's Results -
Ironman 70.3 Liuzhou 2019
| Ovr | Gen | Div | Name | # | AG | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| 349 | 53 | 9 | Marie-Louise Philippe | 851 | FEM40-44 | AUT | 00:36:32 | 02:50:09 | 02:06:59 | 05:44:42 |
| 354 | 54 | 10 | Jie Gao | 858 | FEM40-44 | CHN | 01:09:58 | 02:12:41 | 01:58:01 | 05:45:39 |
| 359 | 55 | 9 | Tang Tang | 814 | FEM30-34 | CHN | 00:42:20 | 02:53:29 | 01:58:56 | 05:46:45 |
| 361 | 56 | 4 | Kazue Uematsu | 898 | FEM60-64 | JPN | 00:35:05 | 02:51:10 | 02:07:08 | 05:46:59 |
| 363 | 57 | 1 | Yina Liu | 902 | FEM65-69 | CHN | 00:37:12 | 02:53:40 | 02:04:15 | 05:48:12 |
| 366 | 58 | 4 | Tanikawa Mayuko | 894 | FEM55-59 | JPN | 00:37:08 | 02:53:40 | 01:58:36 | 05:48:32 |
| 369 | 59 | 5 | Jessica McCarroll | 892 | FEM50-54 | USA | 00:29:43 | 02:55:08 | 02:11:08 | 05:49:00 |
| 384 | 60 | 10 | Shiyi Sun | 810 | FEM25-29 | CHN | 00:40:11 | 03:09:34 | 01:50:01 | 05:52:48 |
| 393 | 61 | 6 | Idy Chiu | 57 | FEM50-54 | HKG | 00:40:34 | 02:54:05 | 02:04:55 | 05:55:13 |
| 394 | 62 | 11 | Yanru Long | 855 | FEM40-44 | CHN | 00:42:15 | 02:52:01 | 02:07:43 | 05:55:20 |
| 399 | 63 | 10 | Lian Yu | 227 | FEM30-34 | CHN | 00:45:44 | 02:55:55 | 02:01:42 | 05:56:54 |
| 420 | 65 | 5 | Yasuyo Tonoyama | 907 | FEM55-59 | JPN | 00:32:59 | 03:15:02 | 01:59:05 | 06:03:14 |
| 421 | 66 | 11 | Kunyang Yuan | 819 | FEM30-34 | CHN | 00:43:16 | 03:02:26 | 01:57:48 | 06:03:37 |
| 423 | 67 | 6 | Xuelian Lai | 192 | FEM45-49 | CHN | 00:39:34 | 03:04:02 | 02:06:52 | 06:04:07 |
| 441 | 68 | 12 | Sabrina Ettedgui | 812 | FEM30-34 | FRA | 00:34:43 | 03:09:25 | 02:08:07 | 06:06:35 |
| 452 | 69 | 5 | Yao Xin | 835 | FEM35-39 | CHN | 00:38:27 | 03:05:05 | 02:08:54 | 06:08:09 |
| 467 | 70 | 5 | みどり 青木 | 900 | FEM60-64 | JPN | 00:36:29 | 03:11:17 | 02:08:29 | 06:13:05 |
| 481 | 71 | 12 | Jian Shao | 860 | FEM40-44 | CHN | 00:43:48 | 03:07:09 | 02:11:25 | 06:16:36 |
| 486 | 72 | 6 | Yang Yang | 844 | FEM35-39 | CHN | 00:44:35 | 03:09:45 | 02:02:55 | 06:18:30 |
| 492 | 74 | 13 | Hui Yang | 857 | FEM40-44 | CHN | 00:48:29 | 03:02:24 | 02:11:17 | 06:20:15 |
| 493 | 75 | 14 | Bei He | 849 | FEM40-44 | CHN | 00:52:01 | 03:04:21 | 02:05:16 | 06:20:23 |
| 497 | 76 | 11 | Min Yang | 904 | FEM25-29 | CHN | 00:37:06 | 03:21:04 | 02:04:38 | 06:21:45 |
| 500 | 77 | 7 | Rosemary Chan | 175 | FEM50-54 | CHN | 00:44:25 | 03:15:16 | 02:06:04 | 06:22:00 |
| 509 | 79 | 6 | Fukumoto Nagako | 897 | FEM55-59 | JPN | 00:40:20 | 03:18:48 | 02:10:49 | 06:25:35 |
| 511 | 80 | 15 | Shiori Morioka | 850 | FEM40-44 | JPN | 00:43:44 | 02:50:16 | 02:36:43 | 06:26:02 |
| 517 | 81 | 7 | Lourdes Angela Hamada-Ramos | 841 | FEM35-39 | PHL | 00:42:23 | 03:13:51 | 02:14:34 | 06:27:19 |
| 519 | 82 | 13 | 妍 张 | 825 | FEM30-34 | CHN | 00:45:34 | 03:14:35 | 02:06:58 | 06:28:26 |
| 520 | 83 | 6 | 昌子 宮内 | 901 | FEM60-64 | JPN | 00:36:30 | 03:03:02 | 02:31:19 | 06:29:00 |
| 523 | 84 | 7 | Feiyun Yuan | 883 | FEM45-49 | CHN | 00:41:00 | 03:10:08 | 02:22:13 | 06:29:31 |
| 530 | 85 | 14 | Xiaohua Liu | 830 | FEM30-34 | CHN | 00:44:52 | 03:12:49 | 02:15:47 | 06:31:47 |
| 532 | 86 | 15 | Karen Miller | 813 | FEM30-34 | USA | 00:33:03 | 03:21:16 | 02:24:33 | 06:34:05 |
| 533 | 87 | 8 | Liqiong Pan | 208 | FEM50-54 | CHN | 00:44:14 | 03:15:14 | 02:18:42 | 06:34:38 |
| 535 | 88 | 8 | Jia Li | 838 | FEM35-39 | CHN | 00:47:12 | 03:10:08 | 02:20:28 | 06:35:54 |
| 546 | 89 | 8 | Yanfang Sui | 878 | FEM45-49 | CHN | 00:45:40 | 03:11:30 | 02:15:38 | 06:39:34 |
| 556 | 91 | 16 | Louise McCallum | 817 | FEM30-34 | AUS | 00:33:14 | 03:20:45 | 02:34:43 | 06:41:32 |
| 557 | 92 | 17 | Alison Gauthier | 816 | FEM30-34 | USA | 00:47:16 | 03:23:15 | 02:14:11 | 06:41:39 |
| 559 | 93 | 9 | Hsiutsen Wu | 869 | FEM45-49 | CHN | 00:38:52 | 03:07:01 | 02:34:26 | 06:41:44 |
| 562 | 94 | 10 | Yuning Ren | 872 | FEM45-49 | CHN | 00:44:44 | 03:19:39 | 02:14:51 | 06:42:45 |
| 565 | 95 | 18 | Jingyi Pan | 822 | FEM30-34 | CHN | 00:37:16 | 03:10:40 | 02:32:16 | 06:43:48 |
| 567 | 96 | 19 | Minru Zeng | 820 | FEM30-34 | CHN | 00:45:05 | 03:17:53 | 02:24:54 | 06:44:13 |
| 568 | 97 | 9 | Kae Kuwano | 887 | FEM50-54 | JPN | 00:40:29 | 03:24:55 | 02:23:39 | 06:44:19 |
| 570 | 98 | 16 | Shaolan Luo | 853 | FEM40-44 | CHN | 00:43:39 | 03:21:42 | 02:21:50 | 06:44:23 |
| 574 | 99 | 9 | Fan Bai | 840 | FEM35-39 | CHN | 00:46:58 | 03:08:59 | 02:25:11 | 06:45:29 |
| 576 | 100 | 20 | Agathe Tiret | 815 | FEM30-34 | FRA | 00:38:18 | 03:41:25 | 02:09:50 | 06:46:06 |
| 578 | 101 | 21 | Jun Han | 828 | FEM30-34 | CHN | 00:51:00 | 03:15:00 | 02:21:20 | 06:47:47 |
| 580 | 102 | 3 | Jiaqi Wang | 801 | FEM18-24 | CHN | 00:42:27 | 03:28:50 | 02:20:01 | 06:48:11 |
| 582 | 103 | 17 | Xuebin Lv | 859 | FEM40-44 | CHN | 00:46:15 | 03:28:03 | 02:17:38 | 06:48:59 |
| 593 | 104 | 18 | Shuiying Li | 854 | FEM40-44 | CHN | 00:44:14 | 03:29:32 | 02:16:10 | 06:51:29 |
| 594 | 105 | 11 | Ye Zeng | 873 | FEM45-49 | CHN | 00:46:34 | 03:27:20 | 02:18:49 | 06:51:35 |
| 602 | 106 | 10 | Tianjiao Cao | 833 | FEM35-39 | CHN | 00:36:25 | 04:04:40 | 01:45:27 | 06:54:36 |
Related
Best countries at the Ironman Hawaii 2022