30th November 2019 | Singapore, Singapore

Singapore Marathon (2019)

10km: Female 40-49

Pos Name Gun Time Net Time Representing Overall Pos Gender (Pos) Net Pos Net Cat Pos Net Gen Pos
1 America Aznar (#35183) 00:44:44 00:44:41 CAN | 45 Female  (2) 52 1 2
2 Takako Fukuda (#36994) 00:45:52 00:44:54 JPN | 59 Female  (3) 55 2 3
3 Jessica So (#35202) 00:49:32 00:49:32 GBR | 127 Female  (10) 189 5 24
4 Kanjana Marshment (#36756) 00:50:01 00:49:00 THA | 137 Female  (11) 162 3 16
5 DOC SEE (#35532) 00:50:11 00:49:14 SGP | 145 Female  (15) 173 4 21
6 Aude Beneton (#37091) 00:54:49 00:53:45 FRA | 263 Female  (33) 361 10 49
7 Suzanne van den Briel (#36422) 00:55:47 00:51:49 NLD | 302 Female  (39) 279 7 38
8 Charlene Tan (#37215) 00:55:54 00:54:36 SGP | 307 Female  (41) 422 13 60
9 Junko Suzuki (#35370) 00:56:09 00:55:02 JPN | 315 Female  (44) 469 14 67
10 Sonia Fowler (#35656) 00:56:30 00:55:13 AUS | 330 Female  (45) 479 15 70
11 Hoi Lam Law (#36719) 00:58:08 00:57:09 HKG | 402 Female  (55) 647 24 105
12 Stephanie Condon (#37126) 00:58:10 00:50:22 AUS | 404 Female  (56) 216 6 28
13 Sue Peng Lim (#36601) 00:58:13 00:54:12 SGP | 409 Female  (58) 396 12 55
14 KIYOKO HIGAKI (#35646) 00:58:14 00:57:13 JPN | 410 Female  (59) 652 25 107
15 Christina Knudsen (#35403) 00:58:15 00:57:01 DNK | 412 Female  (61) 636 23 101
16 angela arnaut (#36662) 00:58:22 00:53:45 PRT | 419 Female  (62) 360 9 48
17 Rebecca Teh (#36952) 00:59:47 00:55:46 SGP | 508 Female  (73) 529 17 79
18 Christine Lee (#36265) 00:59:50 00:58:39 SGP | 514 Female  (75) 807 30 143
19 Michele Paull (#36991) 00:59:54 00:58:52 AUS | 522 Female  (76) 841 33 153
20 Mandy Lamb (#35361) 00:59:58 00:58:56 ZAF | 525 Female  (77) 853 34 156
21 Barbara Ciummo (#35834) 01:00:16 00:59:09 ITA | 542 Female  (83) 873 35 159
22 caroline millet (#36970) 01:00:21 00:59:11 FRA | 548 Female  (85) 877 36 160
23 raphaelle voog (#39897) 01:00:34 00:52:45 FRA | 562 Female  (87) 323 8 44
24 Leigh Elson (#35836) 01:00:38 00:56:06 GBR | 566 Female  (88) 550 19 85
25 Ping Ping Peh (#35643) 01:01:02 01:00:00 SGP | 591 Female  (95) 977 39 180
26 Catherine Ng (#36573) 01:01:23 00:56:48 SGP | 604 Female  (96) 616 21 97
27 Trina Fryer (#36493) 01:01:24 00:57:24 NZL | 606 Female  (98) 669 26 114
28 Aida Oro (#36790) 01:01:28 01:00:18 PHL | 612 Female  (101) 1022 42 195
29 Vanessa Ferra (#36832) 01:01:54 01:00:40 USA | 637 Female  (107) 1068 47 211
30 Goh Pei Ling (#35260) 01:02:09 01:02:00 SGP | 649 Female  (109) 1237 58 251
31 Claire Scott-Bardwell (#35678) 01:02:19 00:58:09 GBR | 662 Female  (110) 758 29 132
32 Louisa Smallshaw (#36437) 01:02:50 00:58:52 GBR | 689 Female  (114) 837 32 150
33 Nataliya Zabello (#38154) 01:03:22 00:56:18 UKR | 712 Female  (119) 561 20 87
34 Karen Svendsen (#36530) 01:04:08 00:56:49 DNK | 757 Female  (129) 617 22 98
35 Louise Martin (#38172) 01:04:41 00:57:36 IRL | 797 Female  (135) 694 28 118
36 Domaris Mundaray-de-Someso (#35787) 01:04:50 01:00:53 ESP | 808 Female  (140) 1102 50 220
37 Emily Angelini (#36230) 01:04:53 01:00:31 USA | 811 Female  (141) 1051 45 205
38 Anita Upadhyay (#36672) 01:04:57 01:00:57 IND | 823 Female  (145) 1114 51 224
39 Angeline Ng (#40031) 01:05:07 00:57:32 SGP | 833 Female  (146) 686 27 116
40 Niki Franks (#36584) 01:05:16 01:00:52 GBR | 843 Female  (149) 1097 48 216
41 Hwee Ling LEE (#36451) 01:05:47 01:04:29 SGP | 873 Female  (158) 1585 84 343
42 Sing yuin Khor (#35493) 01:06:18 01:02:03 MYS | 899 Female  (164) 1251 60 255
43 Amy Read (#37034) 01:06:21 01:02:07 GBR | 905 Female  (166) 1259 61 257
44 恩青 张 (#36815) 01:06:24 01:05:20 CHN | 912 Female  (168) 1709 90 383
45 Celine Loh (#35561) 01:06:34 00:55:27 SGP | 922 Female  (172) 498 16 74
46 Sandra Perez (#36003) 01:06:52 01:02:31 MEX | 945 Female  (178) 1302 65 264
47 MEI YEE CHAN (#35669) 01:06:59 01:02:41 SGP | 952 Female  (182) 1322 67 268
48 KODCHAPATH PANUPOLPAKDEE (#40504) 01:07:10 00:59:38 THA | 964 Female  (184) 930 37 168
49 See Chan (#36526) 01:07:26 01:03:04 HKG | 983 Female  (191) 1371 68 280
50 Mika Yamaji (#36852) 01:07:30 01:03:24 JPN | 986 Female  (192) 1418 75 295