Singapore Marathon (2019)
10km: Overall
| Pos | Name | Gun Time | Net Time | Representing | Category (Pos) | Gender (Pos) | Net Pos | Net Category Pos | Net Gen Pos | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2003 | Wan Jun Loh (#40317) | 01:18:12 | 01:06:58 |
SGP
|
14-19 (16) | Female (507) | 2005 | 18 | 480 | |
| 2004 | Ban Pei Lim (#36574) | 01:18:13 | 01:13:32 |
MYS
|
30-39 (493) | Male (1497) | 3344 | 822 | 2403 | |
| 2005 | Natasya Zahidi (#38469) | 01:18:13 | 01:11:05 |
SGP
|
20-29 (124) | Female (508) | 2847 | 211 | 757 | |
| 2006 | Ronald Chua (#37992) | 01:18:14 | 01:10:19 |
SGP
|
30-39 (494) | Male (1498) | 2705 | 678 | 1990 | |
| 2007 | Cheryl Lim (#38382) | 01:18:15 | 01:07:12 |
SGP
|
20-29 (125) | Female (509) | 2047 | 134 | 493 | |
| 2008 | Wayne Lee (#37697) | 01:18:17 | 01:06:35 |
SGP
|
30-39 (495) | Male (1499) | 1928 | 507 | 1472 | |
| 2009 | Trudy Harris (#40662) | 01:18:17 | 01:06:24 |
AUS
|
40-49 (127) | Female (510) | 1893 | 106 | 448 | |
| 2010 | Margie Gamito (#36222) | 01:18:18 | 01:14:21 |
|
30-39 (195) | Female (511) | 3491 | 362 | 996 | |
| 2011 | NIRANJAN SANGAPUR (#38150) | 01:18:18 | 01:11:17 |
SGP
|
40-49 (417) | Male (1500) | 2879 | 578 | 2112 | |
| 2012 | Tan JunPeng (#38367) | 01:18:19 | 01:06:22 |
SGP
|
14-19 (85) | Male (1501) | 1891 | 86 | 1444 | |
| 2013 | Daniel Liew (#38493) | 01:18:20 | 01:06:11 |
SGP
|
40-49 (418) | Male (1502) | 1860 | 375 | 1422 | |
| 2014 | Wing Yin Wong (#39563) | 01:18:21 | 01:06:33 |
HKG
|
30-39 (196) | Female (512) | 1921 | 177 | 455 | |
| 2015 | Nyoman Santiawan (#37046) | 01:18:21 | 01:06:23 |
IDN
|
50-59 (212) | Male (1503) | 1892 | 182 | 1445 | |
| 2016 | Naeem Ahmed (#38281) | 01:18:22 | 01:02:56 |
HKG
|
40-49 (419) | Male (1504) | 1359 | 297 | 1082 | |
| 2017 | Zoe Hibbert (#37399) | 01:18:22 | 01:06:36 |
AUS
|
50-59 (46) | Female (513) | 1935 | 31 | 458 | |
| 2018 | Mujahid Khan (#38501) | 01:18:24 | 01:07:23 |
PAK
|
20-29 (248) | Male (1505) | 2090 | 278 | 1583 | |
| 2019 | Shanfa Dong (#35998) | 01:18:24 | 01:13:46 |
SGP
|
30-39 (496) | Male (1506) | 3390 | 833 | 2434 | |
| 2020 | Ho Wei Tat Kelvin (#37925) | 01:18:25 | 01:11:06 |
SGP
|
40-49 (420) | Male (1507) | 2854 | 573 | 2096 | |
| 2021 | Claudia Barston (#39042) | 01:18:25 | 01:06:41 |
|
30-39 (197) | Female (514) | 1950 | 178 | 460 | |
| 2022 | LEE WEIYEW (#43266) | 01:18:25 | 00:58:40 |
MYS
|
20-29 (249) | Male (1508) | 808 | 117 | 665 | |
| 2023 | WANG JUN (#39865) | 01:18:26 | 01:10:55 |
|
30-39 (497) | Male (1509) | 2818 | 698 | 2071 | |
| 2024 | Anne-Laure Bartholin (#39644) | 01:18:27 | 01:07:07 |
FRA
|
40-49 (128) | Female (515) | 2030 | 115 | 487 | |
| 2025 | Miho Sawaki (#37799) | 01:18:29 | 01:11:00 |
JPN
|
20-29 (126) | Female (516) | 2830 | 210 | 754 | |
| 2026 | Daniel Teo (#38035) | 01:18:30 | 01:07:20 |
SGP
|
50-59 (213) | Male (1510) | 2078 | 210 | 1577 | |
| 2027 | Mohammad Rana (#36081) | 01:18:31 | 01:17:17 |
BGD
|
40-49 (421) | Male (1511) | 4087 | 762 | 2847 | |
| 2028 | Lucas Nelaupe (#39107) | 01:18:33 | 01:06:27 |
FRA
|
20-29 (250) | Male (1512) | 1903 | 260 | 1452 | |
| 2029 | Elson Wee (#39533) | 01:18:34 | 01:11:05 |
SGP
|
60-69 (44) | Male (1513) | 2852 | 53 | 2094 | |
| 2030 | Eunice Tan (#36670) | 01:18:35 | 01:14:27 |
SGP
|
30-39 (198) | Female (517) | 3510 | 368 | 1004 | |
| 2031 | Jun Matsuda (#39706) | 01:18:37 | 01:07:06 |
JPN
|
50-59 (214) | Male (1514) | 2028 | 201 | 1542 | |
| 2032 | Vincent Lim (#35455) | 01:18:38 | 01:07:18 |
SGP
|
40-49 (422) | Male (1515) | 2070 | 414 | 1571 | |
| 2033 | Martin Smouter (#36280) | 01:18:39 | 01:03:04 |
|
50-59 (215) | Male (1516) | 1373 | 134 | 1092 | |
| 2034 | Thomas Poyner (#42387) | 01:18:39 | 00:51:38 |
AUS
|
30-39 (498) | Male (1517) | 273 | 80 | 236 | |
| 2035 | HO SHEAU WEI ADELINE (#35521) | 01:18:39 | 01:14:32 |
SGP
|
40-49 (129) | Female (518) | 3524 | 223 | 1010 | |
| 2036 | Vishwanath Kalpathi Subramaniam (#37893) | 01:18:39 | 01:11:33 |
AUS
|
40-49 (423) | Male (1518) | 2933 | 590 | 2147 | |
| 2037 | Nian Huei Hwang (#35752) | 01:18:42 | 01:14:08 |
SGP
|
50-59 (216) | Male (1519) | 3454 | 328 | 2473 | |
| 2038 | Sujith Wijerathne (#39710) | 01:18:42 | 01:06:36 |
LKA
|
30-39 (499) | Male (1520) | 1931 | 508 | 1474 | |
| 2039 | Orry Kirana (#36957) | 01:18:42 | 01:17:45 |
IDN
|
40-49 (130) | Female (519) | 4194 | 281 | 1276 | |
| 2040 | Isabelle Yeap (#38731) | 01:18:43 | 01:07:36 |
SGP
|
20-29 (127) | Female (520) | 2132 | 141 | 521 | |
| 2041 | Roel Ilagan (#43780) | 01:18:43 | 00:59:45 |
|
40-49 (424) | Male (1521) | 954 | 212 | 781 | |
| 2042 | Dharshini Subbiah (#40177) | 01:18:44 | 01:03:04 |
MYS
|
30-39 (199) | Female (521) | 1372 | 109 | 281 | |
| 2043 | Seng Yen Low (#38494) | 01:18:45 | 01:07:30 |
MYS
|
30-39 (500) | Male (1522) | 2116 | 551 | 1601 | |
| 2044 | Christopher Chien (#38456) | 01:18:45 | 01:07:29 |
MYS
|
30-39 (501) | Male (1523) | 2112 | 550 | 1598 | |
| 2045 | jinwoo jang (#40268) | 01:18:46 | 01:06:38 |
|
30-39 (502) | Male (1524) | 1942 | 512 | 1483 | |
| 2046 | Kanako Takami (#37897) | 01:18:47 | 01:11:30 |
JPN
|
30-39 (200) | Female (522) | 2922 | 293 | 783 | |
| 2047 | Jaspreet Singh (#36820) | 01:18:47 | 01:07:15 |
MYS
|
20-29 (251) | Male (1525) | 2061 | 274 | 1564 | |
| 2048 | vishesh jaiswal (#40971) | 01:18:47 | 01:11:39 |
IND
|
20-29 (252) | Male (1526) | 2956 | 384 | 2163 | |
| 2049 | Ching Yu (#43425) | 01:18:47 | 00:58:50 |
HKG
|
50-59 (217) | Male (1527) | 830 | 85 | 682 | |
| 2050 | Hon Wah Loke (#39429) | 01:18:48 | 01:11:20 |
SGP
|
40-49 (425) | Male (1528) | 2891 | 581 | 2118 | |
| 2051 | She Sun Chan (#39528) | 01:18:48 | 01:06:34 |
MYS
|
40-49 (131) | Female (523) | 1925 | 109 | 456 | |
| 2052 | Christopher Miller (#37789) | 01:18:49 | 01:11:47 |
|
50-59 (218) | Male (1529) | 2979 | 292 | 2180 |