5th End of the World Marathon - Belize

neděle 4. prosince 2016 05:30 (GMT-6) - Konečné výsledky

Informace k závodu

Sport:	Běh
Místo:	Placencia, Belize
	Zobrazit na mapě
Typ startu:	Hromadný start
Vzdálenost:	13 míle
Závodníci:	164
Měřeno na:	iPad
Meřeno s:	Webscorer PRO 2.4
Aktualizováno:	neděle 4. prosince 2016 18:34 (GMT-6)

Kontaktujte pořadatele

Použijte tento formulář pro odeslání emailu pořadateli.

Vaše jméno
Vaše emailová adresa
Potvrďte emailovou adresu

Vzkaz pořadateli

Odeslat

5th End of the World Marathon - Belize

Vítězové závodu

První 3 účastníci

Kompletní výsledky

Vítězové závodu »
half - Celkově

Pořadí	Start. číslo	Jméno závodníka	Kategorie	Věk	Pohlaví	Čas v cíli
1	328	O'Brien, Leon	Age 30-39	31	M	1:18:16.0	--100%48,15%46,27%6:01.205:30:03.8
2	351	Hemmans, Dean	Age 30-39	34	M	1:30:42.1	+12:26.1+15,89%86,29%39,91%37,73%6:58.605:30:03.8
3	227	Bennett, Kadeem	Age 20-29	25	M	1:32:08.9	+13:52.9+17,74%84,94%38,95%36,74%7:05.305:30:03.8
4	363	Smith, Ian	Age 30-39	39	M	1:33:38.1	+15:22.1+19,64%83,59%37,97%35,72%7:12.205:30:03.8
5	261	Duncan, Kenrick	Age 30-39	31	M	1:35:29.2	+17:13.2+22,00%81,97%36,74%34,45%7:20.705:30:03.8
6	264	Englehardt, Martin	Age 30-39	36	M	1:35:32.6	+17:16.6+22,07%81,92%36,70%34,41%7:21.005:30:03.8
7	312	Martin, Victor	Age 40-49	40	M	1:40:06.9	+21:50.9+27,92%78,18%33,68%31,27%7:42.105:30:03.8
8	381	Yunokizono, Haruka	Age 20-29	29	Ž	1:40:56.8	+22:40.8+28,98%77,53%33,12%30,70%7:45.905:30:03.8
9	371	Turcios, Miguel Angel	Age 40-49	44	M	1:43:01.7	+24:45.7+31,64%75,97%31,75%29,27%7:55.505:30:03.8
10	208	Arevalo, Boris	Age 30-39	34	M	1:45:04.6	+26:48.6+34,25%74,49%30,39%27,86%8:05.005:30:03.8
11	364	Santos, Juan	Age 20-29	24	M	1:45:44.7	+27:28.7+35,11%74,01%29,95%27,41%8:08.105:30:03.8
12	267	Figueroa, Ramon	Age 50-59	56	M	1:46:33.3	+28:17.3+36,14%73,45%29,41%26,85%8:11.805:30:03.8
13	400	Martinez, Damone	Age 20-29	20	M	1:47:05.0	+28:49.0+36,82%73,09%29,06%26,49%8:14.205:30:03.8
14	396	Panton, Eaton	Age 40-49	48	M	1:47:06.9	+28:50.9+36,86%73,07%29,04%26,47%8:14.405:30:03.8
15	316	Meighan, Terrick	Age 20-29	22	M	1:47:30.2	+29:14.2+37,36%72,80%28,78%26,20%8:16.205:30:03.8
16	263	Eiley, Kerah	Age 30-39	34	Ž	1:47:35.2	+29:19.2+37,46%72,75%28,73%26,14%8:16.605:30:03.8
17	249	Coleman, Enfield	Age 1-19	15	M	1:47:38.0	+29:22.0+37,52%72,72%28,69%26,11%8:16.805:30:03.8
18	283	Guzman, Jahmal	Age 1-19	19	M	1:50:12.8	+31:56.8+40,82%71,01%26,99%24,34%8:28.705:30:03.8
19	236	Cano, David	Age 30-39	39	M	1:50:13.9	+31:57.9+40,84%71,00%26,97%24,33%8:28.805:30:03.8
20	275	Garcia, Tyler	Age 1-19	15	M	1:50:14.1	+31:58.1+40,85%71,00%26,97%24,32%8:28.805:30:03.8
21	334	Patzan, Miguel	Age 30-39	34	M	1:51:48.7	+33:32.7+42,86%70,00%25,93%23,24%8:36.105:30:03.8
22	318	Mendez, Omar	Age 1-19	18	M	1:52:24.2	+34:08.2+43,62%69,63%25,53%22,84%8:38.805:30:03.8
23	215	Augustine, Shuzzy	Age 1-19	15	M	1:53:11.3	+34:55.3+44,62%69,15%25,01%22,30%8:42.405:30:03.8
24	265	English, Samantha	Age 30-39	37	Ž	1:53:15.0	+34:59.0+44,70%69,11%24,97%22,25%8:42.705:30:03.8
25	361	Severini, Chris	Age 20-29	24	M	1:53:34.8	+35:18.8+45,12%68,91%24,76%22,03%8:44.205:30:03.8
26	282	Guzman, Devon	Age 1-19	15	M	1:53:50.9	+35:34.9+45,46%68,75%24,58%21,84%8:45.505:30:03.8
27	346	Rice, Ashley	Age 30-39	32	Ž	1:54:01.5	+35:45.5+45,69%68,64%24,46%21,72%8:46.305:30:03.8
28	266	Ferrera, Claudio	Age 40-49	44	M	1:55:08.0	+36:52.0+47,10%67,98%23,73%20,96%8:51.405:30:03.8
29	385	Maskall, Ian	Age 40-49	40	M	1:55:49.0	+37:33.0+47,98%67,58%23,27%20,49%8:54.505:30:03.8
30	201	Ack, Frankie	Age 20-29	22	Ž	1:56:52.0	+38:36.0+49,32%66,97%22,58%19,77%8:59.405:30:03.8
31	214	Augustine, Alger	Age 1-19	15	M	1:56:53.0	+38:37.0+49,34%66,96%22,57%19,76%8:59.505:30:03.8
32	291	Howell, Jerry	Age 60-99	62	M	1:56:53.5	+38:37.5+49,35%66,96%22,56%19,75%8:59.505:30:03.8
33	304	Lorenzo, James	Age 50-59	55	M	1:57:07.9	+38:51.9+49,66%66,82%22,40%19,59%9:00.605:30:03.8
34	234	Caliz, Maleek	Age 1-19	18	M	2:00:08.3	+41:52.3+53,50%65,15%20,41%17,53%9:14.505:30:03.8
35	382	Zabaneh, Elisabeth	Age 40-49	46	Ž	2:00:31.4	+42:15.4+53,99%64,94%20,16%17,26%9:16.305:30:03.8
36	369	Triche, Teresa	Age 60-99	63	Ž	2:00:55.1	+42:39.1+54,50%64,73%19,89%16,99%9:18.105:30:03.8
37	260	Dial, Cassie	Age 30-39	37	Ž	2:01:03.0	+42:47.0+54,66%64,66%19,81%16,90%9:18.705:30:03.8
38	376	Westby, Nadia	Age 30-39	33	Ž	2:01:08.7	+42:52.7+54,78%64,61%19,74%16,83%9:19.105:30:03.8
39	220	Azueta-Cho, Kathleen	Age 30-39	30	Ž	2:01:16.0	+43:00.0+54,94%64,54%19,66%16,75%9:19.705:30:03.8
40	276	Garel, Joe	Age 50-59	52	M	2:01:33.3	+43:17.3+55,31%64,39%19,47%16,55%9:21.005:30:03.8
41	294	Hyde, Douglas	Age 30-39	39	M	2:02:12.8	+43:56.8+56,15%64,04%19,04%16,10%9:24.105:30:03.8
42	232	Bumsteed, Kelsey	Age 20-29	25	Ž	2:02:27.4	+44:11.4+56,46%63,91%18,87%15,93%9:25.205:30:03.8
43	388	Bryant, Jonathan	Age 40-49	45	M	2:03:34.4	+45:18.4+57,89%63,34%18,13%15,17%9:30.305:30:03.8
44	347	Riley, Alison	Age 30-39	33	Ž	2:05:40.7	+47:24.7+60,58%62,28%16,74%13,72%9:40.105:30:03.8
45	247	Cobb, Elroy	Team		M	2:06:53.9	+48:37.9+62,14%61,68%15,93%12,88%9:45.705:30:03.8
46	320	Morales, Sarita	Age 40-49	49	Ž	2:07:37.1	+49:21.1+63,06%61,33%15,45%12,39%9:49.005:30:03.8
47	367	Swasey, Claudia	Age 30-39	32	Ž	2:08:16.1	+50:00.1+63,89%61,02%15,02%11,94%9:52.005:30:03.8
48	332	Park, Sarah	Age 20-29	27	Ž	2:09:05.3	+50:49.3+64,93%60,63%14,48%11,38%9:55.805:30:03.8
49	221	Bader, Mary	Age 40-49	46	Ž	2:09:42.6	+51:26.6+65,73%60,34%14,07%10,95%9:58.705:30:03.8
50	303	Lipman, Jenna	Age 20-29	22	Ž	2:10:28.7	+52:12.7+66,71%59,98%13,56%10,43%10:02.205:30:03.8
51	233	Caballero, Jaheim	Age 1-19	15	M	2:10:54.0	+52:38.0+67,25%59,79%13,28%10,14%10:04.205:30:03.8
51	235	Caliz, Omado	Age 1-19	16	M	2:10:54.0	+52:38.0+67,25%59,79%13,28%10,14%10:04.205:30:03.8
51	241	Martinez, Kenyan	Age 1-19	15	M	2:10:54.0	+52:38.0+67,25%59,79%13,28%10,14%10:04.205:30:03.8
54	284	Hanson, Anna	Age 20-29	27	Ž	2:11:15.5	+52:59.5+67,71%59,63%13,04%9,89%10:05.805:30:03.8
55	256	Dacoff, Peter	Age 30-39	33	M	2:11:37.8	+53:21.8+68,18%59,46%12,80%9,64%10:07.505:30:03.8
56	286	Henry, Jovan	Team		M	2:13:07.4	+54:51.4+70,09%58,79%11,81%8,61%10:14.405:30:03.8
57	366	Stakutis, Wanda	Age 50-59	59	Ž	2:13:55.1	+55:39.1+71,11%58,44%11,28%8,07%10:18.105:30:03.8
58	290	Houser, Matthew	Age 20-29	24	M	2:14:24.7	+56:08.7+71,74%58,23%10,95%7,73%10:20.405:30:03.8
59	302	Lemus, Wendy	Age 40-49	42	Ž	2:14:43.4	+56:27.4+72,13%58,09%10,75%7,51%10:21.805:30:03.8
60	242	Chavin, Obed	Age 20-29	23	M	2:15:31.9	+57:15.9+73,17%57,75%10,21%6,96%10:25.505:30:03.8
61	377	Westby, Tiffanie	Age 30-39	35	Ž	2:15:33.2	+57:17.2+73,19%57,74%10,20%6,94%10:25.605:30:03.8
62	243	Cho, Gian	Age 30-39	31	M	2:15:45.0	+57:29.0+73,45%57,66%10,07%6,81%10:26.505:30:03.8
63	306	Magana, Jeremiah	Age 20-29	20	M	2:17:00.5	+58:44.5+75,05%57,13%9,23%5,94%10:32.305:30:03.8
64	254	Cuevas, Kelsie	Age 20-29	22	Ž	2:17:14.7	+58:58.7+75,36%57,03%9,08%5,78%10:33.405:30:03.8
65	240	Carpenter, Nick	Age 60-99	62	M	2:18:25.1	+1:00:09.1+76,85%56,54%8,30%4,98%10:38.905:30:03.8
66	329	Pacheco, Ramon	Age 30-39	31	M	2:18:34.9	+1:00:18.9+77,06%56,48%8,19%4,86%10:39.605:30:03.8
67	398	Martinez, Bernice	Age 50-59	51	Ž	2:19:14.0	+1:00:58.0+77,90%56,21%7,76%4,42%10:42.605:30:03.8
68	239	Carpenter, Kim	Age 50-59	55	Ž	2:20:59.2	+1:02:43.2+80,14%55,51%6,60%3,21%10:50.705:30:03.8
69	360	Selent, Pete	Age 50-59	54	M	2:21:23.8	+1:03:07.8+80,66%55,35%6,33%2,93%10:52.605:30:03.8
70	203	Adolphus, Melvin	Age 20-29	22	M	2:21:56.8	+1:03:40.8+81,36%55,14%5,96%2,55%10:55.105:30:03.8
71	268	Flores, Nancy	Age 40-49	45	Ž	2:22:05.3	+1:03:49.3+81,54%55,08%5,87%2,46%10:55.805:30:03.8
72	392	Henriquez, Shaid	Age 20-29	25	M	2:22:24.1	+1:04:08.1+81,94%54,96%5,66%2,24%10:57.205:30:03.8
73	362	Shaw, Mary	Age 50-59	56	Ž	2:22:37.3	+1:04:21.3+82,23%54,88%5,52%2,09%10:58.305:30:03.8
74	338	Pott, Samira	Age 40-49	45	Ž	2:22:45.3	+1:04:29.3+82,40%54,83%5,43%2,00%10:58.905:30:03.8
75	342	Ramos, Lucelly	Age 40-49	48	Ž	2:22:50.5	+1:04:34.5+82,51%54,79%5,37%1,94%10:59.305:30:03.8
76	337	Pinkowski, Jennifer	Age 40-49	43	Ž	2:23:07.4	+1:04:51.4+82,87%54,68%5,18%1,75%11:00.605:30:03.8
77	225	Beauchamp, Rachel	Age 20-29	21	Ž	2:24:50.8	+1:06:34.8+85,07%54,03%4,04%0,56%11:08.505:30:03.8
78	365	Soler, Ana	Age 20-29	24	Ž	2:24:52.1	+1:06:36.1+85,10%54,03%4,03%0,55%11:08.605:30:03.8
79	269	Flynn, Jenna	Age 20-29	27	Ž	2:25:25.6	+1:07:09.6+85,81%53,82%3,66%0,16%11:11.205:30:03.8
79	270	Flynn, Joel	Age 30-39	37	M	2:25:25.6	+1:07:09.6+85,81%53,82%3,66%0,16%11:11.205:30:03.8
81	387	Currant, Paul	Age 50-59	56	M	2:25:40.0	+1:07:24.0+86,12%53,73%3,50%0,00%11:12.305:30:03.8
82	359	Segura, Tracie	Age 20-29	23	Ž	2:25:53.7	+1:07:37.7+86,41%53,65%3,35%-0,16%11:13.405:30:03.8
83	213	Caballero, Jamar	Age 1-19	14	M	2:26:18.8	+1:08:02.8+86,94%53,49%3,07%-0,44%11:15.305:30:03.8
84	336	Petzold, Kevin	Age 40-49	43	M	2:26:23.8	+1:08:07.8+87,05%53,46%3,01%-0,50%11:15.705:30:03.8
85	317	Mena, Janette	Age 30-39	31	Ž	2:27:09.9	+1:08:53.9+88,03%53,18%2,51%-1,03%11:19.205:30:03.8
86	330	Palacio, Kennedy	Age 1-19	19	M	2:27:47.2	+1:09:31.2+88,82%52,96%2,09%-1,46%11:22.105:30:03.8
87	349	Rodriguez, Ines	Age 1-19	15	M	2:28:11.3	+1:09:55.3+89,34%52,82%1,83%-1,73%11:23.905:30:03.8
88	207	Ardon, Edison	Age 1-19	17	M	2:28:16.9	+1:10:00.9+89,46%52,78%1,77%-1,80%11:24.405:30:03.8
89	340	Ramirez, Jarmil	Age 1-19	18	M	2:28:22.7	+1:10:06.7+89,58%52,75%1,70%-1,86%11:24.805:30:03.8
90	308	Maheia, Mara	Age 1-19	16	Ž	2:28:25.0	+1:10:09.0+89,63%52,73%1,68%-1,89%11:25.005:30:03.8
91	319	Michael, Kareem	Age 30-39	37	M	2:28:30.0	+1:10:14.0+89,74%52,70%1,62%-1,95%11:25.405:30:03.8
92	372	Tush, Hilario	Age 20-29	29	M	2:29:47.7	+1:11:31.7+91,39%52,25%0,76%-2,83%11:31.405:30:03.8
93	299	Kirsch, Carley	Age 20-29	27	Ž	2:29:50.5	+1:11:34.5+91,45%52,23%0,73%-2,87%11:31.605:30:03.8
94	391	Chavin, Axel	Age 20-29	27	M	2:31:14.2	+1:12:58.2+93,23%51,75%-0,19%-3,82%11:38.005:30:03.8
94	395	Ortiz, Miguel	Age 30-39	30	M	2:31:14.2	+1:12:58.2+93,23%51,75%-0,19%-3,82%11:38.005:30:03.8
96	352	Sandoval, Evan	Age 30-39	30	M	2:31:21.0	+1:13:05.0+93,38%51,71%-0,27%-3,90%11:38.505:30:03.8
97	296	Kee, Julie	Age 30-39	31	Ž	2:31:37.7	+1:13:21.7+93,73%51,62%-0,45%-4,09%11:39.805:30:03.8
98	324	Nigam, Shikha	Age 30-39	33	Ž	2:31:41.3	+1:13:25.3+93,81%51,60%-0,49%-4,13%11:40.105:30:03.8
99	205	Almasy, Ann	Age 50-59	54	Ž	2:33:00.3	+1:14:44.3+95,49%51,15%-1,36%-5,04%11:46.205:30:03.8
100	313	Masse, Amanda	Age 20-29	24	Ž	2:33:27.6	+1:15:11.6+96,07%51,00%-1,66%-5,35%11:48.305:30:03.8
101	354	Sasamoto, Manami	Age 20-29	29	Ž	2:33:50.7	+1:15:34.7+96,57%50,87%-1,92%-5,61%11:50.105:30:03.8
102	325	Niver, Cynthia	Age 30-39	37	Ž	2:34:37.5	+1:16:21.5+97,56%50,62%-2,44%-6,15%11:53.705:30:03.8
103	322	Myvette, Lennox	Age 20-29	29	M	2:36:02.3	+1:17:46.3+99,37%50,16%-3,37%-7,12%12:00.205:30:03.8
104	323	Nigam, Mohit	Age 20-29	26	M	2:36:40.3	+1:18:24.3+100,18%49,96%-3,79%-7,55%12:03.105:30:03.8
105	353	Santos, Walter	Age 40-49	41	M	2:36:54.0	+1:18:38.0+100,47%49,88%-3,94%-7,71%12:04.205:30:03.8
106	389	Almasy, Butch	Age 50-59	57	M	2:37:10.4	+1:18:54.4+100,82%49,80%-4,12%-7,90%12:05.405:30:03.8
107	315	McDonald, Ruth	Age 30-39	36	Ž	2:37:42.7	+1:19:26.7+101,51%49,63%-4,48%-8,27%12:07.905:30:03.8
108	288	Honaker, Ginny	Age 30-39	36	Ž	2:38:03.4	+1:19:47.4+101,95%49,52%-4,71%-8,51%12:09.505:30:03.8
109	228	Bernard, Jennifer	Age 30-39	38	Ž	2:41:45.0	+1:23:29.0+106,67%48,39%-7,16%-11,04%12:26.505:30:03.8
110	314	Matthews, Deanna	Age 40-49	48	Ž	2:41:51.8	+1:23:35.8+106,81%48,35%-7,23%-11,12%12:27.105:30:03.8
111	238	Carabantes, Jose	Team		M	2:41:57.3	+1:23:41.3+106,93%48,33%-7,29%-11,18%12:27.505:30:03.8
112	255	Curcio, Quinn	Age 20-29	27	Ž	2:43:55.9	+1:25:39.9+109,45%47,74%-8,60%-12,54%12:36.605:30:03.8
113	292	Hunt, Samantha	Age 20-29	27	Ž	2:46:33.7	+1:28:17.7+112,81%46,99%-10,34%-14,34%12:48.705:30:03.8
114	397	Tillett, Godfrey	Age 1-19	17	M	2:47:32.9	+1:29:16.9+114,07%46,71%-11,00%-15,02%12:53.305:30:03.8
115	224	Baron, Michele	Age 40-49	46	Ž	2:48:12.6	+1:29:56.6+114,92%46,53%-11,44%-15,48%12:56.405:30:03.8
116	289	Horikawa, Kasumi	Age 20-29	24	Ž	2:52:24.8	+1:34:08.8+120,29%45,39%-14,22%-18,36%13:15.805:30:03.8
117	226	Befus-Nogel, Jan	Age 50-59	53	Ž	2:52:59.6	+1:34:43.6+121,03%45,24%-14,61%-18,76%13:18.405:30:03.8
118	311	Marshalleck, Martin	Age 40-49	49	M	2:54:32.0	+1:36:16.0+123,00%44,84%-15,63%-19,82%13:25.505:30:03.8
119	433	Pascual, Ann	Age 30-39	30	Ž	2:55:40.0	+1:37:24.0+124,45%44,55%-16,38%-20,59%13:30.805:30:03.8
120	348	Robichaux, Nancy	Age 60-99	60	Ž	2:56:58.9	+1:38:42.9+126,13%44,22%-17,25%-21,50%13:36.805:30:03.8
121	300	Kurita, Ayumi	Age 30-39	35	Ž	2:57:34.2	+1:39:18.2+126,88%44,08%-17,64%-21,90%13:39.605:30:03.8
122	307	Maheia, Dian	Age 40-49	45	Ž	2:57:37.1	+1:39:21.1+126,94%44,06%-17,67%-21,93%13:39.805:30:03.8
123	374	Wells, Rebecca	Age 40-49	46	Ž	2:58:32.5	+1:40:16.5+128,12%43,84%-18,28%-22,57%13:44.005:30:03.8
123	223	Banning, Brenda	Age 30-39	33	Ž	2:58:32.5	+1:40:16.5+128,12%43,84%-18,28%-22,57%13:44.005:30:03.8
125	287	Hinton, Gloria	Age 60-99	62	Ž	3:00:16.0	+1:42:00.0+130,32%43,42%-19,42%-23,75%13:52.005:30:03.8
126	309	Manzanero, Marvin	Age 40-49	42	M	3:01:40.0	+1:43:24.0+132,11%43,08%-20,35%-24,71%13:58.505:30:03.8
127	343	Ramos, Rasheed	Age 1-19	13	M	3:02:33.9	+1:44:17.9+133,26%42,87%-20,95%-25,33%14:02.605:30:03.8
128	279	Godfrey, Laura	Age 50-59	51	Ž	3:05:26.0	+1:47:10.0+136,93%42,21%-22,85%-27,30%14:15.805:30:03.8
129	370	Tucker, Stuart	Age 50-59	54	M	3:05:40.4	+1:47:24.4+137,23%42,15%-23,01%-27,46%14:17.005:30:03.8
129	373	Vasquez, Marydelene	Age 50-59	50	Ž	3:05:40.4	+1:47:24.4+137,23%42,15%-23,01%-27,46%14:17.005:30:03.8
131	331	Paquet-Durand, Isabelle	Age 40-49	45	Ž	3:06:11.5	+1:47:55.5+137,89%42,04%-23,35%-27,82%14:19.305:30:03.8
132	295	Iwasa, Mito	Age 30-39	31	Ž	3:06:40.7	+1:48:24.7+138,52%41,93%-23,67%-28,15%14:21.605:30:03.8
132	380	Yoshizawa, Jun	Age 30-39	30	M	3:06:40.7	+1:48:24.7+138,52%41,93%-23,67%-28,15%14:21.605:30:03.8
134	345	Reymondo, Francisco	Age 30-39	38	M	3:08:54.9	+1:50:38.9+141,37%41,43%-25,15%-29,69%14:31.905:30:03.8
135	326	Nogel, Sara Jay	Age 1-19	18	Ž	3:08:59.1	+1:50:43.1+141,46%41,41%-25,20%-29,74%14:32.205:30:03.8
136	298	King, Martine	Age 30-39	35	Ž	3:09:03.5	+1:50:47.5+141,56%41,40%-25,25%-29,79%14:32.605:30:03.8
137	444	Silva, Michelle	Age 40-49	44	Ž	3:09:13.7	+1:50:57.7+141,77%41,36%-25,36%-29,91%14:33.405:30:03.8
138	248	Coc, Ernesto	Team		M	3:11:08.9	+1:52:52.9+144,23%40,95%-26,63%-31,22%14:42.205:30:03.8
139	356	Schoeppner, Peter	Age 60-99	60	M	3:15:18.0	+1:57:02.0+149,53%40,08%-29,38%-34,07%15:01.405:30:03.8
139	357	Schoeppner, Ruth	Age 50-59	59	Ž	3:15:18.0	+1:57:02.0+149,53%40,08%-29,38%-34,07%15:01.405:30:03.8
141	210	Arnold, Angelica	Age 40-49	43	Ž	3:15:54.9	+1:57:38.9+150,32%39,95%-29,79%-34,50%15:04.205:30:03.8
142	297	King, Andree	Age 30-39	38	Ž	3:17:18.2	+1:59:02.2+152,09%39,67%-30,71%-35,45%15:10.605:30:03.8
143	244	Choc, Andres	Team		M	3:21:02.3	+2:02:46.3+156,86%38,93%-33,18%-38,01%15:27.905:30:03.8
144	327	Nogel, Torsten	Age 20-29	21	M	3:22:12.8	+2:03:56.8+158,36%38,70%-33,96%-38,82%15:33.305:30:03.8
145	386	Thomson, Thomas	Age 60-99	67	M	3:22:46.6	+2:04:30.6+159,08%38,60%-34,34%-39,21%15:35.905:30:03.8
146	355	Sato, Mieko	Age 30-39	31	Ž	3:23:55.3	+2:05:39.3+160,55%38,38%-35,09%-39,99%15:41.205:30:03.8
147	390	Castillo, Luis	Age 20-29	20	M	3:31:16.3	+2:13:00.3+169,94%37,05%-39,96%-45,04%16:15.105:30:03.8
148	253	Cuellar, Shera	Age 30-39	30	Ž	3:33:21.3	+2:15:05.3+172,60%36,68%-41,34%-46,47%16:24.705:30:03.8
149	216	Augustine, Shyana	Age 1-19	13	Ž	3:34:10.8	+2:15:54.8+173,65%36,54%-41,89%-47,03%16:28.505:30:03.8
149	252	Warisi	Age 1-19	15	Ž	3:34:10.8	+2:15:54.8+173,65%36,54%-41,89%-47,03%16:28.505:30:03.8
151	280	Gonzalez, Jose	Age 50-59	53	M	3:35:04.0	+2:16:48.0+174,79%36,39%-42,48%-47,64%16:32.605:30:03.8
151	281	Gonzalez, Michelle	Age 40-49	47	Ž	3:35:04.0	+2:16:48.0+174,79%36,39%-42,48%-47,64%16:32.605:30:03.8
153	230	Blaine, Rebecca	Age 30-39	34	Ž	3:42:56.3	+2:24:40.3+184,84%35,11%-47,69%-53,05%17:08.905:30:03.8
154	250	Connor, Stephanie	Age 20-29	26	Ž	3:42:57.0	+2:24:41.0+184,86%35,11%-47,70%-53,05%17:09.005:30:03.8
155	341	Ramirez, Kirwin	Age 20-29	24	M	3:44:02.8	+2:25:46.8+186,26%34,93%-48,43%-53,81%17:14.105:30:03.8
156	394	Flores, Ruth	Age 30-39	32	Ž	3:46:02.6	+2:27:46.6+188,81%34,62%-49,75%-55,18%17:23.305:30:03.8
156	393	Salado, Lulu	Age 30-39	30	Ž	3:46:02.6	+2:27:46.6+188,81%34,62%-49,75%-55,18%17:23.305:30:03.8
158	259	Dial, Brice	Age 30-39	35	Ž	3:51:04.7	+2:32:48.7+195,24%33,87%-53,09%-58,64%17:46.505:30:03.8
159	375	Westby, Cleve	Age 30-39	39	M	3:51:06.8	+2:32:50.8+195,29%33,87%-53,11%-58,66%17:46.705:30:03.8
160	278	Gideon, Pamela	Age 40-49	40	Ž	3:52:02.3	+2:33:46.3+196,47%33,73%-53,72%-59,29%17:50.905:30:03.8
161	406	Chrysler, Richard	Age 60-99	74	M	4:01:09.8	+2:42:53.8+208,13%32,45%-59,77%-65,56%18:33.105:30:03.8
-	251	Williams, Lisani	Age 1-19	15	M	DNF	------05:30:03.8
-	339	Putzier, Jane	Age 50-59	57	Ž	DNF	------05:30:03.8
-	219	Avila, Dayisha	Age 1-19	12	Ž	DSQ	------05:30:03.8