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5th End of the World Marathon - Belize

Sunday, December 4, 2016 05:30 (GMT-6) - Final results

Race info

Sport:	Running
Location:	Placencia, Belize
Start type:	Mass start
Racers:	189
Timed on:	iPad
Timed with:	Webscorer PRO 2.4
Updated:	Sunday, December 4, 2016 18:34 (GMT-6)

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5th End of the World Marathon - Belize

PHOTO
MAP

Race winners

full - Overall

Place	Bib	Name	Category	Age	Gender	Finish time
1	101	Augustine, Egbert	Age 20-29	29	M	3:13:45.6	--100%34.21%26.38%7:27.105:30:03.8
2	108	Davis, Albert	Age 20-29	22	M	3:27:37.7	+13:52.1+7.16%93.32%29.50%21.11%7:59.105:30:03.8
3	132	Webster, Jamel	Age 20-29	25	M	3:30:23.8	+16:38.2+8.59%92.09%28.56%20.06%8:05.505:30:03.8
4	104	Cal, Kliuvert	Age 20-29	20	M	3:39:01.2	+25:15.6+13.04%88.47%25.63%16.79%8:25.405:30:03.8
5	126	Ramos, Amir	Age 1-19	19	M	3:44:21.8	+30:36.2+15.79%86.36%23.82%14.76%8:37.805:30:03.8
6	123	Rakowski, Maciej	Age 40-49	43	M	3:51:01.6	+37:16.0+19.23%83.87%21.55%12.22%8:53.105:30:03.8
7	130	Uzawa, Yuta	Age 30-39	31	M	4:04:59.4	+51:13.8+26.44%79.09%16.81%6.92%9:25.405:30:03.8
8	113	Hope, Marvin	Age 50-59	50	M	4:07:29.4	+53:43.8+27.73%78.29%15.96%5.97%9:31.105:30:03.8
9	105	Carboneri, Seth	Age 40-49	44	M	4:11:07.4	+57:21.8+29.61%77.16%14.73%4.59%9:39.505:30:03.8
10	109	Dodge, Robyn	Age 30-39	33	F	4:16:16.5	+1:02:30.9+32.26%75.61%12.98%2.63%9:51.405:30:03.8
11	127	Spiegel, Beth	Age 30-39	37	F	4:23:12.0	+1:09:26.4+35.84%73.62%10.63%0.00%10:07.405:30:03.8
12	115	Lamb, Rosie	Age 20-29	27	F	4:42:16.8	+1:28:31.2+45.69%68.64%4.15%-7.25%10:51.405:30:03.8
13	116	Martin, Laurent	Age 50-59	56	M	5:09:07.0	+1:55:21.4+59.54%62.68%-4.96%-17.45%11:53.305:30:03.8
14	103	Bedyk, Tomasz	Age 30-39	38	M	5:13:11.1	+1:59:25.5+61.64%61.87%-6.34%-18.99%12:02.705:30:03.8
15	129	Usher, Roberta	Age 20-29	29	F	5:46:27.1	+2:32:41.5+78.80%55.93%-17.64%-31.63%13:19.505:30:03.8
15	107	Cruz, Amado	Age 20-29	29	M	5:46:27.1	+2:32:41.5+78.80%55.93%-17.64%-31.63%13:19.505:30:03.8
17	121	Pech, Orlando	Age 60-99	64	M	5:50:23.0	+2:36:37.4+80.83%55.30%-18.97%-33.12%13:28.605:30:03.8
18	110	Doodnath, Lester	Age 40-49	46	M	6:45:03.8	+3:31:18.2+109.05%47.83%-37.54%-53.90%15:34.805:30:03.8
19	111	Fruitema, Marc	Age 20-29	25	M	6:51:18.8	+3:37:33.2+112.28%47.11%-39.66%-56.27%15:49.205:30:03.8
20	125	Ramirez, Patty	Age 50-59	51	F	6:55:33.2	+3:41:47.6+114.47%46.63%-41.10%-57.89%15:59.005:30:03.8
21	131	Vasquez, Sahar	Age 20-29	20	F	7:35:31.2	+4:21:45.6+135.09%42.54%-54.67%-73.07%17:31.205:30:03.8
-	124	Panna, Orginio	Age 20-29	22	M	DNF	------05:30:03.8
-	114	Kelley, Kent	Age 40-49	48	M	DSQ	------05:30:03.8
-	119	Miyamori, Harumi	Age 50-59	51	F	DSQ	------05:30:03.8
-	120	Miyamori, Yu	Age 20-29	25	F	DSQ	------05:30:03.8

full Female - Overall

Place	Bib	Name	Category	Age	Gender	Finish time
1	109	Dodge, Robyn	Age 30-39	33	F	4:16:16.5	--100%23.85%18.48%9:51.405:30:03.8
2	127	Spiegel, Beth	Age 30-39	37	F	4:23:12.0	+6:55.5+2.70%97.37%21.79%16.28%10:07.405:30:03.8
3	115	Lamb, Rosie	Age 20-29	27	F	4:42:16.8	+26:00.3+10.15%90.79%16.12%10.21%10:51.405:30:03.8
4	129	Usher, Roberta	Age 20-29	29	F	5:46:27.1	+1:30:10.6+35.19%73.97%-2.94%-10.21%13:19.505:30:03.8
5	125	Ramirez, Patty	Age 50-59	51	F	6:55:33.2	+2:39:16.7+62.15%61.67%-23.48%-32.19%15:59.005:30:03.8
6	131	Vasquez, Sahar	Age 20-29	20	F	7:35:31.2	+3:19:14.7+77.75%56.26%-35.35%-44.90%17:31.205:30:03.8
-	119	Miyamori, Harumi	Age 50-59	51	F	DSQ	------05:30:03.8
-	120	Miyamori, Yu	Age 20-29	25	F	DSQ	------05:30:03.8

full Female - Age 20-29

Place	Bib	Name	Category	Age	Gender	Finish time
1	115	Lamb, Rosie	Age 20-29	27	F	4:42:16.8	--100%21.90%18.52%10:51.405:30:03.8
2	129	Usher, Roberta	Age 20-29	29	F	5:46:27.1	+1:04:10.3+22.73%81.48%4.14%0.00%13:19.505:30:03.8
3	131	Vasquez, Sahar	Age 20-29	20	F	7:35:31.2	+2:53:14.4+61.37%61.97%-26.04%-31.48%17:31.205:30:03.8
-	120	Miyamori, Yu	Age 20-29	25	F	DSQ	------05:30:03.8

full Female - Age 30-39

Place	Bib	Name	Category	Age	Gender	Finish time
1	109	Dodge, Robyn	Age 30-39	33	F	4:16:16.5	--100%1.33%1.33%9:51.405:30:03.8
2	127	Spiegel, Beth	Age 30-39	37	F	4:23:12.0	+6:55.5+2.70%97.37%-1.33%-1.33%10:07.405:30:03.8

full Female - Age 50-59

Place	Bib	Name	Category	Age	Gender	Finish time
1	125	Ramirez, Patty	Age 50-59	51	F	6:55:33.2	--100%0.00%0.00%15:59.005:30:03.8
-	119	Miyamori, Harumi	Age 50-59	51	F	DSQ	------05:30:03.8

full Male - Overall

Place	Bib	Name	Category	Age	Gender	Finish time
1	101	Augustine, Egbert	Age 20-29	29	M	3:13:45.6	--100%30.22%21.71%7:27.105:30:03.8
2	108	Davis, Albert	Age 20-29	22	M	3:27:37.7	+13:52.1+7.16%93.32%25.23%16.11%7:59.105:30:03.8
3	132	Webster, Jamel	Age 20-29	25	M	3:30:23.8	+16:38.2+8.59%92.09%24.23%14.99%8:05.505:30:03.8
4	104	Cal, Kliuvert	Age 20-29	20	M	3:39:01.2	+25:15.6+13.04%88.47%21.13%11.50%8:25.405:30:03.8
5	126	Ramos, Amir	Age 1-19	19	M	3:44:21.8	+30:36.2+15.79%86.36%19.20%9.34%8:37.805:30:03.8
6	123	Rakowski, Maciej	Age 40-49	43	M	3:51:01.6	+37:16.0+19.23%83.87%16.80%6.65%8:53.105:30:03.8
7	130	Uzawa, Yuta	Age 30-39	31	M	4:04:59.4	+51:13.8+26.44%79.09%11.77%1.01%9:25.405:30:03.8
8	113	Hope, Marvin	Age 50-59	50	M	4:07:29.4	+53:43.8+27.73%78.29%10.87%0.00%9:31.105:30:03.8
9	105	Carboneri, Seth	Age 40-49	44	M	4:11:07.4	+57:21.8+29.61%77.16%9.57%-1.47%9:39.505:30:03.8
10	116	Martin, Laurent	Age 50-59	56	M	5:09:07.0	+1:55:21.4+59.54%62.68%-11.32%-24.90%11:53.305:30:03.8
11	103	Bedyk, Tomasz	Age 30-39	38	M	5:13:11.1	+1:59:25.5+61.64%61.87%-12.78%-26.54%12:02.705:30:03.8
12	107	Cruz, Amado	Age 20-29	29	M	5:46:27.1	+2:32:41.5+78.80%55.93%-24.76%-39.99%13:19.505:30:03.8
13	121	Pech, Orlando	Age 60-99	64	M	5:50:23.0	+2:36:37.4+80.83%55.30%-26.18%-41.57%13:28.605:30:03.8
14	110	Doodnath, Lester	Age 40-49	46	M	6:45:03.8	+3:31:18.2+109.05%47.83%-45.87%-63.67%15:34.805:30:03.8
15	111	Fruitema, Marc	Age 20-29	25	M	6:51:18.8	+3:37:33.2+112.28%47.11%-48.12%-66.19%15:49.205:30:03.8
-	124	Panna, Orginio	Age 20-29	22	M	DNF	------05:30:03.8
-	114	Kelley, Kent	Age 40-49	48	M	DSQ	------05:30:03.8

full Male - Age 1-19

Place	Bib	Name	Category	Age	Gender	Finish time
1	126	Ramos, Amir	Age 1-19	19	M	3:44:21.8	--100%0.00%0.00%8:37.805:30:03.8

full Male - Age 20-29

Place	Bib	Name	Category	Age	Gender	Finish time
1	101	Augustine, Egbert	Age 20-29	29	M	3:13:45.6	--100%26.82%9.76%7:27.105:30:03.8
2	108	Davis, Albert	Age 20-29	22	M	3:27:37.7	+13:52.1+7.16%93.32%21.58%3.30%7:59.105:30:03.8
3	132	Webster, Jamel	Age 20-29	25	M	3:30:23.8	+16:38.2+8.59%92.09%20.53%2.01%8:05.505:30:03.8
4	104	Cal, Kliuvert	Age 20-29	20	M	3:39:01.2	+25:15.6+13.04%88.47%17.28%-2.01%8:25.405:30:03.8
5	107	Cruz, Amado	Age 20-29	29	M	5:46:27.1	+2:32:41.5+78.80%55.93%-30.85%-61.36%13:19.505:30:03.8
6	111	Fruitema, Marc	Age 20-29	25	M	6:51:18.8	+3:37:33.2+112.28%47.11%-55.35%-91.57%15:49.205:30:03.8
-	124	Panna, Orginio	Age 20-29	22	M	DNF	------05:30:03.8

full Male - Age 30-39

Place	Bib	Name	Category	Age	Gender	Finish time
1	130	Uzawa, Yuta	Age 30-39	31	M	4:04:59.4	--100%12.22%12.22%9:25.405:30:03.8
2	103	Bedyk, Tomasz	Age 30-39	38	M	5:13:11.1	+1:08:11.7+27.84%78.23%-12.22%-12.22%12:02.705:30:03.8

full Male - Age 40-49

Place	Bib	Name	Category	Age	Gender	Finish time
1	123	Rakowski, Maciej	Age 40-49	43	M	3:51:01.6	--100%21.88%8.00%8:53.105:30:03.8
2	105	Carboneri, Seth	Age 40-49	44	M	4:11:07.4	+20:05.8+8.70%92.00%15.09%0.00%9:39.505:30:03.8
3	110	Doodnath, Lester	Age 40-49	46	M	6:45:03.8	+2:54:02.2+75.33%57.03%-36.97%-61.30%15:34.805:30:03.8
-	114	Kelley, Kent	Age 40-49	48	M	DSQ	------05:30:03.8

full Male - Age 50-59

Place	Bib	Name	Category	Age	Gender	Finish time
1	113	Hope, Marvin	Age 50-59	50	M	4:07:29.4	--100%11.07%11.07%9:31.105:30:03.8
2	116	Martin, Laurent	Age 50-59	56	M	5:09:07.0	+1:01:37.6+24.90%80.06%-11.07%-11.07%11:53.305:30:03.8

full Male - Age 60-99

Place	Bib	Name	Category	Age	Gender	Finish time
1	121	Pech, Orlando	Age 60-99	64	M	5:50:23.0	--100%0.00%0.00%13:28.605:30:03.8

half - Overall

Place	Bib	Name	Category	Age	Gender	Finish time
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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	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	F	DNF	------05:30:03.8
-	219	Avila, Dayisha	Age 1-19	12	F	DSQ	------05:30:03.8

half Female - Overall

Place	Bib	Name	Category	Age	Gender	Finish time
1	381	Yunokizono, Haruka	Age 20-29	29	F	1:40:56.8	--100%37.27%34.22%7:45.905:30:03.8
2	263	Eiley, Kerah	Age 30-39	34	F	1:47:35.2	+6:38.4+6.58%93.83%33.14%29.89%8:16.605:30:03.8
3	265	English, Samantha	Age 30-39	37	F	1:53:15.0	+12:18.2+12.19%89.14%29.62%26.20%8:42.705:30:03.8
4	346	Rice, Ashley	Age 30-39	32	F	1:54:01.5	+13:04.7+12.96%88.53%29.14%25.70%8:46.305:30:03.8
5	201	Ack, Frankie	Age 20-29	22	F	1:56:52.0	+15:55.2+15.77%86.38%27.37%23.85%8:59.405:30:03.8
6	382	Zabaneh, Elisabeth	Age 40-49	46	F	2:00:31.4	+19:34.6+19.39%83.76%25.10%21.46%9:16.305:30:03.8
7	369	Triche, Teresa	Age 60-99	63	F	2:00:55.1	+19:58.3+19.78%83.48%24.86%21.21%9:18.105:30:03.8
8	260	Dial, Cassie	Age 30-39	37	F	2:01:03.0	+20:06.2+19.91%83.39%24.77%21.12%9:18.705:30:03.8
9	376	Westby, Nadia	Age 30-39	33	F	2:01:08.7	+20:11.9+20.01%83.33%24.71%21.06%9:19.105:30:03.8
10	220	Azueta-Cho, Kathleen	Age 30-39	30	F	2:01:16.0	+20:19.2+20.13%83.24%24.64%20.98%9:19.705:30:03.8
11	232	Bumsteed, Kelsey	Age 20-29	25	F	2:02:27.4	+21:30.6+21.31%82.43%23.90%20.20%9:25.205:30:03.8
12	347	Riley, Alison	Age 30-39	33	F	2:05:40.7	+24:43.9+24.50%80.32%21.90%18.10%9:40.105:30:03.8
13	320	Morales, Sarita	Age 40-49	49	F	2:07:37.1	+26:40.3+26.42%79.10%20.69%16.84%9:49.005:30:03.8
14	367	Swasey, Claudia	Age 30-39	32	F	2:08:16.1	+27:19.3+27.07%78.70%20.29%16.42%9:52.005:30:03.8
15	332	Park, Sarah	Age 20-29	27	F	2:09:05.3	+28:08.5+27.88%78.20%19.78%15.88%9:55.805:30:03.8
16	221	Bader, Mary	Age 40-49	46	F	2:09:42.6	+28:45.8+28.49%77.82%19.39%15.48%9:58.705:30:03.8
17	303	Lipman, Jenna	Age 20-29	22	F	2:10:28.7	+29:31.9+29.25%77.37%18.91%14.98%10:02.205:30:03.8
18	284	Hanson, Anna	Age 20-29	27	F	2:11:15.5	+30:18.7+30.03%76.91%18.43%14.47%10:05.805:30:03.8
19	366	Stakutis, Wanda	Age 50-59	59	F	2:13:55.1	+32:58.3+32.66%75.38%16.78%12.73%10:18.105:30:03.8
20	302	Lemus, Wendy	Age 40-49	42	F	2:14:43.4	+33:46.6+33.46%74.93%16.28%12.21%10:21.805:30:03.8
21	377	Westby, Tiffanie	Age 30-39	35	F	2:15:33.2	+34:36.4+34.28%74.47%15.76%11.67%10:25.605:30:03.8
22	254	Cuevas, Kelsie	Age 20-29	22	F	2:17:14.7	+36:17.9+35.96%73.55%14.71%10.57%10:33.405:30:03.8
23	398	Martinez, Bernice	Age 50-59	51	F	2:19:14.0	+38:17.2+37.93%72.50%13.47%9.27%10:42.605:30:03.8
24	239	Carpenter, Kim	Age 50-59	55	F	2:20:59.2	+40:02.4+39.66%71.60%12.38%8.13%10:50.705:30:03.8
25	268	Flores, Nancy	Age 40-49	45	F	2:22:05.3	+41:08.5+40.76%71.05%11.70%7.41%10:55.805:30:03.8
26	362	Shaw, Mary	Age 50-59	56	F	2:22:37.3	+41:40.5+41.28%70.78%11.37%7.06%10:58.305:30:03.8
27	338	Pott, Samira	Age 40-49	45	F	2:22:45.3	+41:48.5+41.42%70.71%11.28%6.98%10:58.905:30:03.8
28	342	Ramos, Lucelly	Age 40-49	48	F	2:22:50.5	+41:53.7+41.50%70.67%11.23%6.92%10:59.305:30:03.8
29	337	Pinkowski, Jennifer	Age 40-49	43	F	2:23:07.4	+42:10.6+41.78%70.53%11.06%6.74%11:00.605:30:03.8
30	225	Beauchamp, Rachel	Age 20-29	21	F	2:24:50.8	+43:54.0+43.49%69.69%9.98%5.61%11:08.505:30:03.8
31	365	Soler, Ana	Age 20-29	24	F	2:24:52.1	+43:55.3+43.51%69.68%9.97%5.60%11:08.605:30:03.8
32	269	Flynn, Jenna	Age 20-29	27	F	2:25:25.6	+44:28.8+44.06%69.41%9.62%5.23%11:11.205:30:03.8
33	359	Segura, Tracie	Age 20-29	23	F	2:25:53.7	+44:56.9+44.53%69.19%9.33%4.93%11:13.405:30:03.8
34	317	Mena, Janette	Age 30-39	31	F	2:27:09.9	+46:13.1+45.78%68.59%8.54%4.10%11:19.205:30:03.8
35	308	Maheia, Mara	Age 1-19	16	F	2:28:25.0	+47:28.2+47.02%68.02%7.77%3.29%11:25.005:30:03.8
36	299	Kirsch, Carley	Age 20-29	27	F	2:29:50.5	+48:53.7+48.44%67.37%6.88%2.36%11:31.605:30:03.8
37	296	Kee, Julie	Age 30-39	31	F	2:31:37.7	+50:40.9+50.21%66.58%5.77%1.19%11:39.805:30:03.8
38	324	Nigam, Shikha	Age 30-39	33	F	2:31:41.3	+50:44.5+50.27%66.55%5.73%1.15%11:40.105:30:03.8
39	205	Almasy, Ann	Age 50-59	54	F	2:33:00.3	+52:03.5+51.57%65.98%4.91%0.30%11:46.205:30:03.8
40	313	Masse, Amanda	Age 20-29	24	F	2:33:27.6	+52:30.8+52.02%65.78%4.63%0.00%11:48.305:30:03.8
41	354	Sasamoto, Manami	Age 20-29	29	F	2:33:50.7	+52:53.9+52.40%65.62%4.39%-0.25%11:50.105:30:03.8
42	325	Niver, Cynthia	Age 30-39	37	F	2:34:37.5	+53:40.7+53.17%65.28%3.91%-0.76%11:53.705:30:03.8
43	315	McDonald, Ruth	Age 30-39	36	F	2:37:42.7	+56:45.9+56.23%64.01%1.99%-2.77%12:07.905:30:03.8
44	288	Honaker, Ginny	Age 30-39	36	F	2:38:03.4	+57:06.6+56.57%63.87%1.78%-3.00%12:09.505:30:03.8
45	228	Bernard, Jennifer	Age 30-39	38	F	2:41:45.0	+1:00:48.2+60.23%62.41%-0.52%-5.40%12:26.505:30:03.8
46	314	Matthews, Deanna	Age 40-49	48	F	2:41:51.8	+1:00:55.0+60.35%62.37%-0.59%-5.48%12:27.105:30:03.8
47	255	Curcio, Quinn	Age 20-29	27	F	2:43:55.9	+1:02:59.1+62.39%61.58%-1.88%-6.82%12:36.605:30:03.8
48	292	Hunt, Samantha	Age 20-29	27	F	2:46:33.7	+1:05:36.9+65.00%60.61%-3.51%-8.54%12:48.705:30:03.8
49	224	Baron, Michele	Age 40-49	46	F	2:48:12.6	+1:07:15.8+66.63%60.01%-4.53%-9.61%12:56.405:30:03.8
50	289	Horikawa, Kasumi	Age 20-29	24	F	2:52:24.8	+1:11:28.0+70.80%58.55%-7.15%-12.35%13:15.805:30:03.8
51	226	Befus-Nogel, Jan	Age 50-59	53	F	2:52:59.6	+1:12:02.8+71.37%58.35%-7.51%-12.73%13:18.405:30:03.8
52	433	Pascual, Ann	Age 30-39	30	F	2:55:40.0	+1:14:43.2+74.02%57.46%-9.17%-14.47%13:30.805:30:03.8
53	348	Robichaux, Nancy	Age 60-99	60	F	2:56:58.9	+1:16:02.1+75.32%57.04%-9.99%-15.33%13:36.805:30:03.8
54	300	Kurita, Ayumi	Age 30-39	35	F	2:57:34.2	+1:16:37.4+75.90%56.85%-10.35%-15.71%13:39.605:30:03.8
55	307	Maheia, Dian	Age 40-49	45	F	2:57:37.1	+1:16:40.3+75.95%56.83%-10.38%-15.74%13:39.805:30:03.8
56	374	Wells, Rebecca	Age 40-49	46	F	2:58:32.5	+1:17:35.7+76.87%56.54%-10.95%-16.34%13:44.005:30:03.8
56	223	Banning, Brenda	Age 30-39	33	F	2:58:32.5	+1:17:35.7+76.87%56.54%-10.95%-16.34%13:44.005:30:03.8
58	287	Hinton, Gloria	Age 60-99	62	F	3:00:16.0	+1:19:19.2+78.58%56.00%-12.03%-17.47%13:52.005:30:03.8
59	279	Godfrey, Laura	Age 50-59	51	F	3:05:26.0	+1:24:29.2+83.69%54.44%-15.24%-20.83%14:15.805:30:03.8
60	373	Vasquez, Marydelene	Age 50-59	50	F	3:05:40.4	+1:24:43.6+83.93%54.37%-15.39%-20.99%14:17.005:30:03.8
61	331	Paquet-Durand, Isabelle	Age 40-49	45	F	3:06:11.5	+1:25:14.7+84.45%54.22%-15.71%-21.33%14:19.305:30:03.8
62	295	Iwasa, Mito	Age 30-39	31	F	3:06:40.7	+1:25:43.9+84.93%54.08%-16.01%-21.65%14:21.605:30:03.8
63	326	Nogel, Sara Jay	Age 1-19	18	F	3:08:59.1	+1:28:02.3+87.21%53.42%-17.44%-23.15%14:32.205:30:03.8
64	298	King, Martine	Age 30-39	35	F	3:09:03.5	+1:28:06.7+87.29%53.39%-17.49%-23.20%14:32.605:30:03.8
65	444	Silva, Michelle	Age 40-49	44	F	3:09:13.7	+1:28:16.9+87.45%53.35%-17.60%-23.31%14:33.405:30:03.8
66	357	Schoeppner, Ruth	Age 50-59	59	F	3:15:18.0	+1:34:21.2+93.47%51.69%-21.37%-27.26%15:01.405:30:03.8
67	210	Arnold, Angelica	Age 40-49	43	F	3:15:54.9	+1:34:58.1+94.08%51.53%-21.75%-27.67%15:04.205:30:03.8
68	297	King, Andree	Age 30-39	38	F	3:17:18.2	+1:36:21.4+95.45%51.16%-22.61%-28.57%15:10.605:30:03.8
69	355	Sato, Mieko	Age 30-39	31	F	3:23:55.3	+1:42:58.5+102.01%49.50%-26.73%-32.88%15:41.205:30:03.8
70	253	Cuellar, Shera	Age 30-39	30	F	3:33:21.3	+1:52:24.5+111.35%47.31%-32.59%-39.03%16:24.705:30:03.8
71	216	Augustine, Shyana	Age 1-19	13	F	3:34:10.8	+1:53:14.0+112.17%47.13%-33.10%-39.57%16:28.505:30:03.8
71	252	Warisi	Age 1-19	15	F	3:34:10.8	+1:53:14.0+112.17%47.13%-33.10%-39.57%16:28.505:30:03.8
73	281	Gonzalez, Michelle	Age 40-49	47	F	3:35:04.0	+1:54:07.2+113.05%46.94%-33.65%-40.15%16:32.605:30:03.8
74	230	Blaine, Rebecca	Age 30-39	34	F	3:42:56.3	+2:01:59.5+120.85%45.28%-38.55%-45.27%17:08.905:30:03.8
75	250	Connor, Stephanie	Age 20-29	26	F	3:42:57.0	+2:02:00.2+120.86%45.28%-38.55%-45.28%17:09.005:30:03.8
76	394	Flores, Ruth	Age 30-39	32	F	3:46:02.6	+2:05:05.8+123.92%44.66%-40.47%-47.30%17:23.305:30:03.8
76	393	Salado, Lulu	Age 30-39	30	F	3:46:02.6	+2:05:05.8+123.92%44.66%-40.47%-47.30%17:23.305:30:03.8
78	259	Dial, Brice	Age 30-39	35	F	3:51:04.7	+2:10:07.9+128.91%43.69%-43.60%-50.58%17:46.505:30:03.8
79	278	Gideon, Pamela	Age 40-49	40	F	3:52:02.3	+2:11:05.5+129.86%43.50%-44.20%-51.20%17:50.905:30:03.8
-	339	Putzier, Jane	Age 50-59	57	F	DNF	------05:30:03.8
-	219	Avila, Dayisha	Age 1-19	12	F	DSQ	------05:30:03.8

half Female - Age 1-19

Place	Bib	Name	Category	Age	Gender	Finish time
1	308	Maheia, Mara	Age 1-19	16	F	2:28:25.0	--100%22.47%26.37%11:25.005:30:03.8
2	326	Nogel, Sara Jay	Age 1-19	18	F	3:08:59.1	+40:34.1+27.33%78.53%1.28%6.25%14:32.205:30:03.8
3	216	Augustine, Shyana	Age 1-19	13	F	3:34:10.8	+1:05:45.8+44.31%69.30%-11.88%-6.25%16:28.505:30:03.8
3	252	Warisi	Age 1-19	15	F	3:34:10.8	+1:05:45.8+44.31%69.30%-11.88%-6.25%16:28.505:30:03.8
-	219	Avila, Dayisha	Age 1-19	12	F	DSQ	------05:30:03.8

half Female - Age 20-29

Place	Bib	Name	Category	Age	Gender	Finish time
1	381	Yunokizono, Haruka	Age 20-29	29	F	1:40:56.8	--100%30.97%30.45%7:45.905:30:03.8
2	201	Ack, Frankie	Age 20-29	22	F	1:56:52.0	+15:55.2+15.77%86.38%20.09%19.48%8:59.405:30:03.8
3	232	Bumsteed, Kelsey	Age 20-29	25	F	2:02:27.4	+21:30.6+21.31%82.43%16.27%15.63%9:25.205:30:03.8
4	332	Park, Sarah	Age 20-29	27	F	2:09:05.3	+28:08.5+27.88%78.20%11.73%11.06%9:55.805:30:03.8
5	303	Lipman, Jenna	Age 20-29	22	F	2:10:28.7	+29:31.9+29.25%77.37%10.78%10.11%10:02.205:30:03.8
6	284	Hanson, Anna	Age 20-29	27	F	2:11:15.5	+30:18.7+30.03%76.91%10.25%9.57%10:05.805:30:03.8
7	254	Cuevas, Kelsie	Age 20-29	22	F	2:17:14.7	+36:17.9+35.96%73.55%6.15%5.44%10:33.405:30:03.8
8	225	Beauchamp, Rachel	Age 20-29	21	F	2:24:50.8	+43:54.0+43.49%69.69%0.96%0.21%11:08.505:30:03.8
9	365	Soler, Ana	Age 20-29	24	F	2:24:52.1	+43:55.3+43.51%69.68%0.94%0.19%11:08.605:30:03.8
10	269	Flynn, Jenna	Age 20-29	27	F	2:25:25.6	+44:28.8+44.06%69.41%0.56%-0.19%11:11.205:30:03.8
11	359	Segura, Tracie	Age 20-29	23	F	2:25:53.7	+44:56.9+44.53%69.19%0.24%-0.51%11:13.405:30:03.8
12	299	Kirsch, Carley	Age 20-29	27	F	2:29:50.5	+48:53.7+48.44%67.37%-2.46%-3.23%11:31.605:30:03.8
13	313	Masse, Amanda	Age 20-29	24	F	2:33:27.6	+52:30.8+52.02%65.78%-4.93%-5.73%11:48.305:30:03.8
14	354	Sasamoto, Manami	Age 20-29	29	F	2:33:50.7	+52:53.9+52.40%65.62%-5.20%-5.99%11:50.105:30:03.8
15	255	Curcio, Quinn	Age 20-29	27	F	2:43:55.9	+1:02:59.1+62.39%61.58%-12.10%-12.94%12:36.605:30:03.8
16	292	Hunt, Samantha	Age 20-29	27	F	2:46:33.7	+1:05:36.9+65.00%60.61%-13.89%-14.75%12:48.705:30:03.8
17	289	Horikawa, Kasumi	Age 20-29	24	F	2:52:24.8	+1:11:28.0+70.80%58.55%-17.89%-18.78%13:15.805:30:03.8
18	250	Connor, Stephanie	Age 20-29	26	F	3:42:57.0	+2:02:00.2+120.86%45.28%-52.45%-53.60%17:09.005:30:03.8

half Female - Age 30-39

Place	Bib	Name	Category	Age	Gender	Finish time
1	263	Eiley, Kerah	Age 30-39	34	F	1:47:35.2	--100%34.49%31.86%8:16.605:30:03.8
2	265	English, Samantha	Age 30-39	37	F	1:53:15.0	+5:39.8+5.26%95.00%31.04%28.27%8:42.705:30:03.8
3	346	Rice, Ashley	Age 30-39	32	F	1:54:01.5	+6:26.3+5.98%94.35%30.57%27.78%8:46.305:30:03.8
4	260	Dial, Cassie	Age 30-39	37	F	2:01:03.0	+13:27.8+12.51%88.88%26.30%23.33%9:18.705:30:03.8
5	376	Westby, Nadia	Age 30-39	33	F	2:01:08.7	+13:33.5+12.60%88.81%26.24%23.27%9:19.105:30:03.8
6	220	Azueta-Cho, Kathleen	Age 30-39	30	F	2:01:16.0	+13:40.8+12.72%88.72%26.16%23.19%9:19.705:30:03.8
7	347	Riley, Alison	Age 30-39	33	F	2:05:40.7	+18:05.5+16.82%85.60%23.48%20.40%9:40.105:30:03.8
8	367	Swasey, Claudia	Age 30-39	32	F	2:08:16.1	+20:40.9+19.22%83.88%21.90%18.76%9:52.005:30:03.8
9	377	Westby, Tiffanie	Age 30-39	35	F	2:15:33.2	+27:58.0+25.99%79.37%17.46%14.14%10:25.605:30:03.8
10	317	Mena, Janette	Age 30-39	31	F	2:27:09.9	+39:34.7+36.79%73.11%10.39%6.79%11:19.205:30:03.8
11	296	Kee, Julie	Age 30-39	31	F	2:31:37.7	+44:02.5+40.94%70.95%7.68%3.96%11:39.805:30:03.8
12	324	Nigam, Shikha	Age 30-39	33	F	2:31:41.3	+44:06.1+40.99%70.93%7.64%3.92%11:40.105:30:03.8
13	325	Niver, Cynthia	Age 30-39	37	F	2:34:37.5	+47:02.3+43.72%69.58%5.85%2.06%11:53.705:30:03.8
14	315	McDonald, Ruth	Age 30-39	36	F	2:37:42.7	+50:07.5+46.59%68.22%3.97%0.11%12:07.905:30:03.8
15	288	Honaker, Ginny	Age 30-39	36	F	2:38:03.4	+50:28.2+46.91%68.07%3.76%-0.11%12:09.505:30:03.8
16	228	Bernard, Jennifer	Age 30-39	38	F	2:41:45.0	+54:09.8+50.34%66.51%1.51%-2.45%12:26.505:30:03.8
17	433	Pascual, Ann	Age 30-39	30	F	2:55:40.0	+1:08:04.8+63.28%61.24%-6.96%-11.26%13:30.805:30:03.8
18	300	Kurita, Ayumi	Age 30-39	35	F	2:57:34.2	+1:09:59.0+65.05%60.59%-8.12%-12.47%13:39.605:30:03.8
19	223	Banning, Brenda	Age 30-39	33	F	2:58:32.5	+1:10:57.3+65.95%60.26%-8.71%-13.08%13:44.005:30:03.8
20	295	Iwasa, Mito	Age 30-39	31	F	3:06:40.7	+1:19:05.5+73.51%57.63%-13.66%-18.24%14:21.605:30:03.8
21	298	King, Martine	Age 30-39	35	F	3:09:03.5	+1:21:28.3+75.73%56.91%-15.11%-19.74%14:32.605:30:03.8
22	297	King, Andree	Age 30-39	38	F	3:17:18.2	+1:29:43.0+83.39%54.53%-20.13%-24.97%15:10.605:30:03.8
23	355	Sato, Mieko	Age 30-39	31	F	3:23:55.3	+1:36:20.1+89.54%52.76%-24.16%-29.16%15:41.205:30:03.8
24	253	Cuellar, Shera	Age 30-39	30	F	3:33:21.3	+1:45:46.1+98.31%50.43%-29.91%-35.13%16:24.705:30:03.8
25	230	Blaine, Rebecca	Age 30-39	34	F	3:42:56.3	+1:55:21.1+107.22%48.26%-35.74%-41.20%17:08.905:30:03.8
26	394	Flores, Ruth	Age 30-39	32	F	3:46:02.6	+1:58:27.4+110.10%47.60%-37.63%-43.17%17:23.305:30:03.8
26	393	Salado, Lulu	Age 30-39	30	F	3:46:02.6	+1:58:27.4+110.10%47.60%-37.63%-43.17%17:23.305:30:03.8
28	259	Dial, Brice	Age 30-39	35	F	3:51:04.7	+2:03:29.5+114.78%46.56%-40.70%-46.36%17:46.505:30:03.8

half Female - Age 40-49

Place	Bib	Name	Category	Age	Gender	Finish time
1	382	Zabaneh, Elisabeth	Age 40-49	46	F	2:00:31.4	--100%26.51%25.54%9:16.305:30:03.8
2	320	Morales, Sarita	Age 40-49	49	F	2:07:37.1	+7:05.7+5.89%94.44%22.19%21.16%9:49.005:30:03.8
3	221	Bader, Mary	Age 40-49	46	F	2:09:42.6	+9:11.2+7.62%92.92%20.91%19.86%9:58.705:30:03.8
4	302	Lemus, Wendy	Age 40-49	42	F	2:14:43.4	+14:12.0+11.78%89.46%17.85%16.77%10:21.805:30:03.8
5	268	Flores, Nancy	Age 40-49	45	F	2:22:05.3	+21:33.9+17.89%84.82%13.36%12.22%10:55.805:30:03.8
6	338	Pott, Samira	Age 40-49	45	F	2:22:45.3	+22:13.9+18.45%84.43%12.96%11.81%10:58.905:30:03.8
7	342	Ramos, Lucelly	Age 40-49	48	F	2:22:50.5	+22:19.1+18.52%84.38%12.90%11.75%10:59.305:30:03.8
8	337	Pinkowski, Jennifer	Age 40-49	43	F	2:23:07.4	+22:36.0+18.75%84.21%12.73%11.58%11:00.605:30:03.8
9	314	Matthews, Deanna	Age 40-49	48	F	2:41:51.8	+41:20.4+34.30%74.46%1.30%0.00%12:27.105:30:03.8
10	224	Baron, Michele	Age 40-49	46	F	2:48:12.6	+47:41.2+39.57%71.65%-2.56%-3.92%12:56.405:30:03.8
11	307	Maheia, Dian	Age 40-49	45	F	2:57:37.1	+57:05.7+47.37%67.86%-8.30%-9.73%13:39.805:30:03.8
12	374	Wells, Rebecca	Age 40-49	46	F	2:58:32.5	+58:01.1+48.14%67.50%-8.86%-10.30%13:44.005:30:03.8
13	331	Paquet-Durand, Isabelle	Age 40-49	45	F	3:06:11.5	+1:05:40.1+54.49%64.73%-13.53%-15.03%14:19.305:30:03.8
14	444	Silva, Michelle	Age 40-49	44	F	3:09:13.7	+1:08:42.3+57.01%63.69%-15.38%-16.91%14:33.405:30:03.8
15	210	Arnold, Angelica	Age 40-49	43	F	3:15:54.9	+1:15:23.5+62.55%61.52%-19.46%-21.04%15:04.205:30:03.8
16	281	Gonzalez, Michelle	Age 40-49	47	F	3:35:04.0	+1:34:32.6+78.44%56.04%-31.14%-32.87%16:32.605:30:03.8
17	278	Gideon, Pamela	Age 40-49	40	F	3:52:02.3	+1:51:30.9+92.53%51.94%-41.48%-43.35%17:50.905:30:03.8

half Female - Age 50-59

Place	Bib	Name	Category	Age	Gender	Finish time
1	366	Stakutis, Wanda	Age 50-59	59	F	2:13:55.1	--100%16.83%12.47%10:18.105:30:03.8
2	398	Martinez, Bernice	Age 50-59	51	F	2:19:14.0	+5:18.9+3.97%96.18%13.53%9.00%10:42.605:30:03.8
3	239	Carpenter, Kim	Age 50-59	55	F	2:20:59.2	+7:04.1+5.28%94.99%12.44%7.85%10:50.705:30:03.8
4	362	Shaw, Mary	Age 50-59	56	F	2:22:37.3	+8:42.2+6.50%93.90%11.43%6.79%10:58.305:30:03.8
5	205	Almasy, Ann	Age 50-59	54	F	2:33:00.3	+19:05.2+14.25%87.53%4.98%0.00%11:46.205:30:03.8
6	226	Befus-Nogel, Jan	Age 50-59	53	F	2:52:59.6	+39:04.5+29.18%77.41%-7.44%-13.06%13:18.405:30:03.8
7	279	Godfrey, Laura	Age 50-59	51	F	3:05:26.0	+51:30.9+38.47%72.22%-15.16%-21.19%14:15.805:30:03.8
8	373	Vasquez, Marydelene	Age 50-59	50	F	3:05:40.4	+51:45.3+38.65%72.13%-15.31%-21.35%14:17.005:30:03.8
9	357	Schoeppner, Ruth	Age 50-59	59	F	3:15:18.0	+1:01:22.9+45.84%68.57%-21.29%-27.64%15:01.405:30:03.8
-	339	Putzier, Jane	Age 50-59	57	F	DNF	------05:30:03.8

half Female - Age 60-99

Place	Bib	Name	Category	Age	Gender	Finish time
1	369	Triche, Teresa	Age 60-99	63	F	2:00:55.1	--100%24.14%31.68%9:18.105:30:03.8
2	348	Robichaux, Nancy	Age 60-99	60	F	2:56:58.9	+56:03.8+46.36%68.32%-11.04%0.00%13:36.805:30:03.8
3	287	Hinton, Gloria	Age 60-99	62	F	3:00:16.0	+59:20.9+49.08%67.08%-13.10%-1.86%13:52.005:30:03.8

half Male - Overall

Place	Bib	Name	Category	Age	Gender	Finish time
1	328	O'Brien, Leon	Age 30-39	31	M	1:18:16.0	--100%44.63%42.61%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%35.83%33.49%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%34.81%32.43%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%33.75%31.34%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%32.44%29.98%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%32.40%29.94%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%29.17%26.59%7:42.105:30:03.8
8	371	Turcios, Miguel Angel	Age 40-49	44	M	1:43:01.7	+24:45.7+31.64%75.97%27.11%24.45%7:55.505:30:03.8
9	208	Arevalo, Boris	Age 30-39	34	M	1:45:04.6	+26:48.6+34.25%74.49%25.66%22.95%8:05.005:30:03.8
10	364	Santos, Juan	Age 20-29	24	M	1:45:44.7	+27:28.7+35.11%74.01%25.19%22.46%8:08.105:30:03.8
11	267	Figueroa, Ramon	Age 50-59	56	M	1:46:33.3	+28:17.3+36.14%73.45%24.61%21.87%8:11.805:30:03.8
12	400	Martinez, Damone	Age 20-29	20	M	1:47:05.0	+28:49.0+36.82%73.09%24.24%21.48%8:14.205:30:03.8
13	396	Panton, Eaton	Age 40-49	48	M	1:47:06.9	+28:50.9+36.86%73.07%24.22%21.46%8:14.405:30:03.8
14	316	Meighan, Terrick	Age 20-29	22	M	1:47:30.2	+29:14.2+37.36%72.80%23.94%21.17%8:16.205:30:03.8
15	249	Coleman, Enfield	Age 1-19	15	M	1:47:38.0	+29:22.0+37.52%72.72%23.85%21.08%8:16.805:30:03.8
16	283	Guzman, Jahmal	Age 1-19	19	M	1:50:12.8	+31:56.8+40.82%71.01%22.03%19.19%8:28.705:30:03.8
17	236	Cano, David	Age 30-39	39	M	1:50:13.9	+31:57.9+40.84%71.00%22.01%19.17%8:28.805:30:03.8
18	275	Garcia, Tyler	Age 1-19	15	M	1:50:14.1	+31:58.1+40.85%71.00%22.01%19.17%8:28.805:30:03.8
19	334	Patzan, Miguel	Age 30-39	34	M	1:51:48.7	+33:32.7+42.86%70.00%20.89%18.01%8:36.105:30:03.8
20	318	Mendez, Omar	Age 1-19	18	M	1:52:24.2	+34:08.2+43.62%69.63%20.48%17.58%8:38.805:30:03.8
21	215	Augustine, Shuzzy	Age 1-19	15	M	1:53:11.3	+34:55.3+44.62%69.15%19.92%17.00%8:42.405:30:03.8
22	361	Severini, Chris	Age 20-29	24	M	1:53:34.8	+35:18.8+45.12%68.91%19.64%16.72%8:44.205:30:03.8
23	282	Guzman, Devon	Age 1-19	15	M	1:53:50.9	+35:34.9+45.46%68.75%19.45%16.52%8:45.505:30:03.8
24	266	Ferrera, Claudio	Age 40-49	44	M	1:55:08.0	+36:52.0+47.10%67.98%18.54%15.58%8:51.405:30:03.8
25	385	Maskall, Ian	Age 40-49	40	M	1:55:49.0	+37:33.0+47.98%67.58%18.06%15.08%8:54.505:30:03.8
26	214	Augustine, Alger	Age 1-19	15	M	1:56:53.0	+38:37.0+49.34%66.96%17.31%14.30%8:59.505:30:03.8
27	291	Howell, Jerry	Age 60-99	62	M	1:56:53.5	+38:37.5+49.35%66.96%17.30%14.29%8:59.505:30:03.8
28	304	Lorenzo, James	Age 50-59	55	M	1:57:07.9	+38:51.9+49.66%66.82%17.13%14.11%9:00.605:30:03.8
29	234	Caliz, Maleek	Age 1-19	18	M	2:00:08.3	+41:52.3+53.50%65.15%15.00%11.91%9:14.505:30:03.8
30	276	Garel, Joe	Age 50-59	52	M	2:01:33.3	+43:17.3+55.31%64.39%14.00%10.87%9:21.005:30:03.8
31	294	Hyde, Douglas	Age 30-39	39	M	2:02:12.8	+43:56.8+56.15%64.04%13.54%10.39%9:24.105:30:03.8
32	388	Bryant, Jonathan	Age 40-49	45	M	2:03:34.4	+45:18.4+57.89%63.34%12.57%9.39%9:30.305:30:03.8
33	247	Cobb, Elroy	Team		M	2:06:53.9	+48:37.9+62.14%61.68%10.22%6.95%9:45.705:30:03.8
34	233	Caballero, Jaheim	Age 1-19	15	M	2:10:54.0	+52:38.0+67.25%59.79%7.39%4.02%10:04.205:30:03.8
34	235	Caliz, Omado	Age 1-19	16	M	2:10:54.0	+52:38.0+67.25%59.79%7.39%4.02%10:04.205:30:03.8
34	241	Martinez, Kenyan	Age 1-19	15	M	2:10:54.0	+52:38.0+67.25%59.79%7.39%4.02%10:04.205:30:03.8
37	256	Dacoff, Peter	Age 30-39	33	M	2:11:37.8	+53:21.8+68.18%59.46%6.87%3.48%10:07.505:30:03.8
38	286	Henry, Jovan	Team		M	2:13:07.4	+54:51.4+70.09%58.79%5.82%2.39%10:14.405:30:03.8
39	290	Houser, Matthew	Age 20-29	24	M	2:14:24.7	+56:08.7+71.74%58.23%4.91%1.44%10:20.405:30:03.8
40	242	Chavin, Obed	Age 20-29	23	M	2:15:31.9	+57:15.9+73.17%57.75%4.11%0.62%10:25.505:30:03.8
41	243	Cho, Gian	Age 30-39	31	M	2:15:45.0	+57:29.0+73.45%57.66%3.96%0.46%10:26.505:30:03.8
42	306	Magana, Jeremiah	Age 20-29	20	M	2:17:00.5	+58:44.5+75.05%57.13%3.07%-0.46%10:32.305:30:03.8
43	240	Carpenter, Nick	Age 60-99	62	M	2:18:25.1	+1:00:09.1+76.85%56.54%2.07%-1.50%10:38.905:30:03.8
44	329	Pacheco, Ramon	Age 30-39	31	M	2:18:34.9	+1:00:18.9+77.06%56.48%1.96%-1.61%10:39.605:30:03.8
45	360	Selent, Pete	Age 50-59	54	M	2:21:23.8	+1:03:07.8+80.66%55.35%-0.04%-3.68%10:52.605:30:03.8
46	203	Adolphus, Melvin	Age 20-29	22	M	2:21:56.8	+1:03:40.8+81.36%55.14%-0.43%-4.08%10:55.105:30:03.8
47	392	Henriquez, Shaid	Age 20-29	25	M	2:22:24.1	+1:04:08.1+81.94%54.96%-0.75%-4.42%10:57.205:30:03.8
48	270	Flynn, Joel	Age 30-39	37	M	2:25:25.6	+1:07:09.6+85.81%53.82%-2.89%-6.63%11:11.205:30:03.8
49	387	Currant, Paul	Age 50-59	56	M	2:25:40.0	+1:07:24.0+86.12%53.73%-3.06%-6.81%11:12.305:30:03.8
50	213	Caballero, Jamar	Age 1-19	14	M	2:26:18.8	+1:08:02.8+86.94%53.49%-3.51%-7.28%11:15.305:30:03.8
51	336	Petzold, Kevin	Age 40-49	43	M	2:26:23.8	+1:08:07.8+87.05%53.46%-3.57%-7.35%11:15.705:30:03.8
52	330	Palacio, Kennedy	Age 1-19	19	M	2:27:47.2	+1:09:31.2+88.82%52.96%-4.56%-8.36%11:22.105:30:03.8
53	349	Rodriguez, Ines	Age 1-19	15	M	2:28:11.3	+1:09:55.3+89.34%52.82%-4.84%-8.66%11:23.905:30:03.8
54	207	Ardon, Edison	Age 1-19	17	M	2:28:16.9	+1:10:00.9+89.46%52.78%-4.91%-8.73%11:24.405:30:03.8
55	340	Ramirez, Jarmil	Age 1-19	18	M	2:28:22.7	+1:10:06.7+89.58%52.75%-4.98%-8.80%11:24.805:30:03.8
56	319	Michael, Kareem	Age 30-39	37	M	2:28:30.0	+1:10:14.0+89.74%52.70%-5.06%-8.89%11:25.405:30:03.8
57	372	Tush, Hilario	Age 20-29	29	M	2:29:47.7	+1:11:31.7+91.39%52.25%-5.98%-9.84%11:31.405:30:03.8
58	391	Chavin, Axel	Age 20-29	27	M	2:31:14.2	+1:12:58.2+93.23%51.75%-7.00%-10.89%11:38.005:30:03.8
58	395	Ortiz, Miguel	Age 30-39	30	M	2:31:14.2	+1:12:58.2+93.23%51.75%-7.00%-10.89%11:38.005:30:03.8
60	352	Sandoval, Evan	Age 30-39	30	M	2:31:21.0	+1:13:05.0+93.38%51.71%-7.08%-10.98%11:38.505:30:03.8
61	322	Myvette, Lennox	Age 20-29	29	M	2:36:02.3	+1:17:46.3+99.37%50.16%-10.40%-14.42%12:00.205:30:03.8
62	323	Nigam, Mohit	Age 20-29	26	M	2:36:40.3	+1:18:24.3+100.18%49.96%-10.84%-14.88%12:03.105:30:03.8
63	353	Santos, Walter	Age 40-49	41	M	2:36:54.0	+1:18:38.0+100.47%49.88%-11.00%-15.05%12:04.205:30:03.8
64	389	Almasy, Butch	Age 50-59	57	M	2:37:10.4	+1:18:54.4+100.82%49.80%-11.20%-15.25%12:05.405:30:03.8
65	238	Carabantes, Jose	Team		M	2:41:57.3	+1:23:41.3+106.93%48.33%-14.58%-18.75%12:27.505:30:03.8
66	397	Tillett, Godfrey	Age 1-19	17	M	2:47:32.9	+1:29:16.9+114.07%46.71%-18.54%-22.85%12:53.305:30:03.8
67	311	Marshalleck, Martin	Age 40-49	49	M	2:54:32.0	+1:36:16.0+123.00%44.84%-23.48%-27.98%13:25.505:30:03.8
68	309	Manzanero, Marvin	Age 40-49	42	M	3:01:40.0	+1:43:24.0+132.11%43.08%-28.53%-33.21%13:58.505:30:03.8
69	343	Ramos, Rasheed	Age 1-19	13	M	3:02:33.9	+1:44:17.9+133.26%42.87%-29.16%-33.87%14:02.605:30:03.8
70	370	Tucker, Stuart	Age 50-59	54	M	3:05:40.4	+1:47:24.4+137.23%42.15%-31.36%-36.14%14:17.005:30:03.8
71	380	Yoshizawa, Jun	Age 30-39	30	M	3:06:40.7	+1:48:24.7+138.52%41.93%-32.07%-36.88%14:21.605:30:03.8
72	345	Reymondo, Francisco	Age 30-39	38	M	3:08:54.9	+1:50:38.9+141.37%41.43%-33.66%-38.52%14:31.905:30:03.8
73	248	Coc, Ernesto	Team		M	3:11:08.9	+1:52:52.9+144.23%40.95%-35.24%-40.16%14:42.205:30:03.8
74	356	Schoeppner, Peter	Age 60-99	60	M	3:15:18.0	+1:57:02.0+149.53%40.08%-38.17%-43.20%15:01.405:30:03.8
75	244	Choc, Andres	Team		M	3:21:02.3	+2:02:46.3+156.86%38.93%-42.23%-47.41%15:27.905:30:03.8
76	327	Nogel, Torsten	Age 20-29	21	M	3:22:12.8	+2:03:56.8+158.36%38.70%-43.06%-48.27%15:33.305:30:03.8
77	386	Thomson, Thomas	Age 60-99	67	M	3:22:46.6	+2:04:30.6+159.08%38.60%-43.46%-48.69%15:35.905:30:03.8
78	390	Castillo, Luis	Age 20-29	20	M	3:31:16.3	+2:13:00.3+169.94%37.05%-49.47%-54.91%16:15.105:30:03.8
79	280	Gonzalez, Jose	Age 50-59	53	M	3:35:04.0	+2:16:48.0+174.79%36.39%-52.16%-57.70%16:32.605:30:03.8
80	341	Ramirez, Kirwin	Age 20-29	24	M	3:44:02.8	+2:25:46.8+186.26%34.93%-58.51%-64.28%17:14.105:30:03.8
81	375	Westby, Cleve	Age 30-39	39	M	3:51:06.8	+2:32:50.8+195.29%33.87%-63.51%-69.46%17:46.705:30:03.8
82	406	Chrysler, Richard	Age 60-99	74	M	4:01:09.8	+2:42:53.8+208.13%32.45%-70.62%-76.83%18:33.105:30:03.8
-	251	Williams, Lisani	Age 1-19	15	M	DNF	------05:30:03.8

half Male - Age 1-19

Place	Bib	Name	Category	Age	Gender	Finish time
1	249	Coleman, Enfield	Age 1-19	15	M	1:47:38.0	--100%18.81%17.77%8:16.805:30:03.8
2	283	Guzman, Jahmal	Age 1-19	19	M	1:50:12.8	+2:34.8+2.40%97.66%16.87%15.80%8:28.705:30:03.8
3	275	Garcia, Tyler	Age 1-19	15	M	1:50:14.1	+2:36.1+2.42%97.64%16.85%15.79%8:28.805:30:03.8
4	318	Mendez, Omar	Age 1-19	18	M	1:52:24.2	+4:46.2+4.43%95.76%15.21%14.13%8:38.805:30:03.8
5	215	Augustine, Shuzzy	Age 1-19	15	M	1:53:11.3	+5:33.3+5.16%95.09%14.62%13.53%8:42.405:30:03.8
6	282	Guzman, Devon	Age 1-19	15	M	1:53:50.9	+6:12.9+5.77%94.54%14.12%13.03%8:45.505:30:03.8
7	214	Augustine, Alger	Age 1-19	15	M	1:56:53.0	+9:15.0+8.59%92.09%11.83%10.71%8:59.505:30:03.8
8	234	Caliz, Maleek	Age 1-19	18	M	2:00:08.3	+12:30.3+11.62%89.59%9.38%8.22%9:14.505:30:03.8
9	233	Caballero, Jaheim	Age 1-19	15	M	2:10:54.0	+23:16.0+21.62%82.23%1.26%0.00%10:04.205:30:03.8
9	235	Caliz, Omado	Age 1-19	16	M	2:10:54.0	+23:16.0+21.62%82.23%1.26%0.00%10:04.205:30:03.8
9	241	Martinez, Kenyan	Age 1-19	15	M	2:10:54.0	+23:16.0+21.62%82.23%1.26%0.00%10:04.205:30:03.8
12	213	Caballero, Jamar	Age 1-19	14	M	2:26:18.8	+38:40.8+35.94%73.56%-10.36%-11.77%11:15.305:30:03.8
13	330	Palacio, Kennedy	Age 1-19	19	M	2:27:47.2	+40:09.2+37.31%72.83%-11.48%-12.90%11:22.105:30:03.8
14	349	Rodriguez, Ines	Age 1-19	15	M	2:28:11.3	+40:33.3+37.68%72.63%-11.78%-13.21%11:23.905:30:03.8
15	207	Ardon, Edison	Age 1-19	17	M	2:28:16.9	+40:38.9+37.77%72.59%-11.85%-13.28%11:24.405:30:03.8
16	340	Ramirez, Jarmil	Age 1-19	18	M	2:28:22.7	+40:44.7+37.86%72.54%-11.92%-13.35%11:24.805:30:03.8
17	397	Tillett, Godfrey	Age 1-19	17	M	2:47:32.9	+59:54.9+55.67%64.24%-26.38%-28.00%12:53.305:30:03.8
18	343	Ramos, Rasheed	Age 1-19	13	M	3:02:33.9	+1:14:55.9+69.62%58.96%-37.71%-39.47%14:02.605:30:03.8
-	251	Williams, Lisani	Age 1-19	15	M	DNF	------05:30:03.8

half Male - Age 20-29

Place	Bib	Name	Category	Age	Gender	Finish time
1	227	Bennett, Kadeem	Age 20-29	25	M	1:32:08.9	--100%36.54%35.08%7:05.305:30:03.8
2	364	Santos, Juan	Age 20-29	24	M	1:45:44.7	+13:35.8+14.76%87.14%27.18%25.50%8:08.105:30:03.8
3	400	Martinez, Damone	Age 20-29	20	M	1:47:05.0	+14:56.1+16.21%86.05%26.26%24.56%8:14.205:30:03.8
4	316	Meighan, Terrick	Age 20-29	22	M	1:47:30.2	+15:21.3+16.66%85.72%25.97%24.26%8:16.205:30:03.8
5	361	Severini, Chris	Age 20-29	24	M	1:53:34.8	+21:25.9+23.26%81.13%21.78%19.98%8:44.205:30:03.8
6	290	Houser, Matthew	Age 20-29	24	M	2:14:24.7	+42:15.8+45.86%68.56%7.44%5.31%10:20.405:30:03.8
7	242	Chavin, Obed	Age 20-29	23	M	2:15:31.9	+43:23.0+47.08%67.99%6.67%4.52%10:25.505:30:03.8
8	306	Magana, Jeremiah	Age 20-29	20	M	2:17:00.5	+44:51.6+48.68%67.26%5.65%3.48%10:32.305:30:03.8
9	203	Adolphus, Melvin	Age 20-29	22	M	2:21:56.8	+49:47.9+54.04%64.92%2.25%0.00%10:55.105:30:03.8
10	392	Henriquez, Shaid	Age 20-29	25	M	2:22:24.1	+50:15.2+54.54%64.71%1.94%-0.32%10:57.205:30:03.8
11	372	Tush, Hilario	Age 20-29	29	M	2:29:47.7	+57:38.8+62.56%61.52%-3.15%-5.53%11:31.405:30:03.8
12	391	Chavin, Axel	Age 20-29	27	M	2:31:14.2	+59:05.3+64.12%60.93%-4.15%-6.54%11:38.005:30:03.8
13	322	Myvette, Lennox	Age 20-29	29	M	2:36:02.3	+1:03:53.4+69.33%59.05%-7.45%-9.93%12:00.205:30:03.8
14	323	Nigam, Mohit	Age 20-29	26	M	2:36:40.3	+1:04:31.4+70.02%58.82%-7.89%-10.37%12:03.105:30:03.8
15	327	Nogel, Torsten	Age 20-29	21	M	3:22:12.8	+1:50:03.9+119.44%45.57%-39.25%-42.46%15:33.305:30:03.8
16	390	Castillo, Luis	Age 20-29	20	M	3:31:16.3	+1:59:07.4+129.27%43.62%-45.49%-48.84%16:15.105:30:03.8
17	341	Ramirez, Kirwin	Age 20-29	24	M	3:44:02.8	+2:11:53.9+143.14%41.13%-54.29%-57.84%17:14.105:30:03.8

half Male - Age 30-39

Place	Bib	Name	Category	Age	Gender	Finish time
1	328	O'Brien, Leon	Age 30-39	31	M	1:18:16.0	--100%40.80%40.54%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%31.40%31.09%6:58.605:30:03.8
3	363	Smith, Ian	Age 30-39	39	M	1:33:38.1	+15:22.1+19.64%83.59%29.18%28.87%7:12.205:30:03.8
4	261	Duncan, Kenrick	Age 30-39	31	M	1:35:29.2	+17:13.2+22.00%81.97%27.78%27.46%7:20.705:30:03.8
5	264	Englehardt, Martin	Age 30-39	36	M	1:35:32.6	+17:16.6+22.07%81.92%27.74%27.42%7:21.005:30:03.8
6	208	Arevalo, Boris	Age 30-39	34	M	1:45:04.6	+26:48.6+34.25%74.49%20.53%20.17%8:05.005:30:03.8
7	236	Cano, David	Age 30-39	39	M	1:50:13.9	+31:57.9+40.84%71.00%16.63%16.26%8:28.805:30:03.8
8	334	Patzan, Miguel	Age 30-39	34	M	1:51:48.7	+33:32.7+42.86%70.00%15.43%15.06%8:36.105:30:03.8
9	294	Hyde, Douglas	Age 30-39	39	M	2:02:12.8	+43:56.8+56.15%64.04%7.57%7.15%9:24.105:30:03.8
10	256	Dacoff, Peter	Age 30-39	33	M	2:11:37.8	+53:21.8+68.18%59.46%0.44%0.00%10:07.505:30:03.8
11	243	Cho, Gian	Age 30-39	31	M	2:15:45.0	+57:29.0+73.45%57.66%-2.67%-3.13%10:26.505:30:03.8
12	329	Pacheco, Ramon	Age 30-39	31	M	2:18:34.9	+1:00:18.9+77.06%56.48%-4.81%-5.28%10:39.605:30:03.8
13	270	Flynn, Joel	Age 30-39	37	M	2:25:25.6	+1:07:09.6+85.81%53.82%-9.99%-10.48%11:11.205:30:03.8
14	319	Michael, Kareem	Age 30-39	37	M	2:28:30.0	+1:10:14.0+89.74%52.70%-12.31%-12.82%11:25.405:30:03.8
15	395	Ortiz, Miguel	Age 30-39	30	M	2:31:14.2	+1:12:58.2+93.23%51.75%-14.38%-14.90%11:38.005:30:03.8
16	352	Sandoval, Evan	Age 30-39	30	M	2:31:21.0	+1:13:05.0+93.38%51.71%-14.47%-14.98%11:38.505:30:03.8
17	380	Yoshizawa, Jun	Age 30-39	30	M	3:06:40.7	+1:48:24.7+138.52%41.93%-41.19%-41.82%14:21.605:30:03.8
18	345	Reymondo, Francisco	Age 30-39	38	M	3:08:54.9	+1:50:38.9+141.37%41.43%-42.88%-43.52%14:31.905:30:03.8
19	375	Westby, Cleve	Age 30-39	39	M	3:51:06.8	+2:32:50.8+195.29%33.87%-74.80%-75.58%17:46.705:30:03.8

half Male - Age 40-49

Place	Bib	Name	Category	Age	Gender	Finish time
1	312	Martin, Victor	Age 40-49	40	M	1:40:06.9	--100%24.40%16.36%7:42.105:30:03.8
2	371	Turcios, Miguel Angel	Age 40-49	44	M	1:43:01.7	+2:54.8+2.91%97.17%22.20%13.92%7:55.505:30:03.8
3	396	Panton, Eaton	Age 40-49	48	M	1:47:06.9	+7:00.0+6.99%93.46%19.11%10.51%8:14.405:30:03.8
4	266	Ferrera, Claudio	Age 40-49	44	M	1:55:08.0	+15:01.1+15.00%86.96%13.06%3.81%8:51.405:30:03.8
5	385	Maskall, Ian	Age 40-49	40	M	1:55:49.0	+15:42.1+15.68%86.44%12.54%3.24%8:54.505:30:03.8
6	388	Bryant, Jonathan	Age 40-49	45	M	2:03:34.4	+23:27.5+23.43%81.02%6.69%-3.24%9:30.305:30:03.8
7	336	Petzold, Kevin	Age 40-49	43	M	2:26:23.8	+46:16.9+46.23%68.39%-10.55%-22.31%11:15.705:30:03.8
8	353	Santos, Walter	Age 40-49	41	M	2:36:54.0	+56:47.1+56.72%63.81%-18.48%-31.08%12:04.205:30:03.8
9	311	Marshalleck, Martin	Age 40-49	49	M	2:54:32.0	+1:14:25.1+74.33%57.36%-31.80%-45.82%13:25.505:30:03.8
10	309	Manzanero, Marvin	Age 40-49	42	M	3:01:40.0	+1:21:33.1+81.46%55.11%-37.18%-51.77%13:58.505:30:03.8

half Male - Age 50-59

Place	Bib	Name	Category	Age	Gender	Finish time
1	267	Figueroa, Ramon	Age 50-59	56	M	1:46:33.3	--100%28.38%25.76%8:11.805:30:03.8
2	304	Lorenzo, James	Age 50-59	55	M	1:57:07.9	+10:34.6+9.93%90.97%21.27%18.39%9:00.605:30:03.8
3	276	Garel, Joe	Age 50-59	52	M	2:01:33.3	+15:00.0+14.08%87.66%18.30%15.31%9:21.005:30:03.8
4	360	Selent, Pete	Age 50-59	54	M	2:21:23.8	+34:50.5+32.70%75.36%4.96%1.49%10:52.605:30:03.8
5	387	Currant, Paul	Age 50-59	56	M	2:25:40.0	+39:06.7+36.71%73.15%2.09%-1.49%11:12.305:30:03.8
6	389	Almasy, Butch	Age 50-59	57	M	2:37:10.4	+50:37.1+47.50%67.79%-5.64%-9.50%12:05.405:30:03.8
7	370	Tucker, Stuart	Age 50-59	54	M	3:05:40.4	+1:19:07.1+74.25%57.39%-24.80%-29.36%14:17.005:30:03.8
8	280	Gonzalez, Jose	Age 50-59	53	M	3:35:04.0	+1:48:30.7+101.84%49.55%-44.56%-49.84%16:32.605:30:03.8

half Male - Age 60-99

Place	Bib	Name	Category	Age	Gender	Finish time
1	291	Howell, Jerry	Age 60-99	62	M	1:56:53.5	--100%34.66%40.15%8:59.505:30:03.8
2	240	Carpenter, Nick	Age 60-99	62	M	2:18:25.1	+21:31.6+18.42%84.45%22.63%29.13%10:38.905:30:03.8
3	356	Schoeppner, Peter	Age 60-99	60	M	3:15:18.0	+1:18:24.5+67.08%59.85%-9.16%0.00%15:01.405:30:03.8
4	386	Thomson, Thomas	Age 60-99	67	M	3:22:46.6	+1:25:53.1+73.47%57.65%-13.34%-3.83%15:35.905:30:03.8
5	406	Chrysler, Richard	Age 60-99	74	M	4:01:09.8	+2:04:16.3+106.31%48.47%-34.80%-23.48%18:33.105:30:03.8

half Male - Team

Place	Bib	Name	Category	Gender	Finish time
1	247	Cobb, Elroy	Team	M	2:06:53.9	--100%22.07%21.65%9:45.705:30:03.8
2	286	Henry, Jovan	Team	M	2:13:07.4	+6:13.5+4.91%95.32%18.25%17.80%10:14.405:30:03.8
3	238	Carabantes, Jose	Team	M	2:41:57.3	+35:03.4+27.63%78.35%0.54%0.00%12:27.505:30:03.8
4	248	Coc, Ernesto	Team	M	3:11:08.9	+1:04:15.0+50.63%66.39%-17.39%-18.03%14:42.205:30:03.8
5	244	Choc, Andres	Team	M	3:21:02.3	+1:14:08.4+58.42%63.12%-23.46%-24.13%15:27.905:30:03.8