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Neon Night Race 3 5K

Friday, July 18, 2025 7:30 PM (GMT-7) - Final results

Race info

Sport:	Running
Location:	Phoenix, AZ, United States
	View on map
Start type:	Mass start
Racers:	169
Timed on:	iPad
Timed with:	Webscorer PRO 7.5
Chip timing:	RFID - LLRP
RFID reader:	ThingMagic
Updated:	Saturday, July 19, 2025 7:23 AM (GMT-7)

Organized by:	Run Your Race
Race website:	http://RunYourRaceAZ.com

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Neon Night Race 3 5K view larger image View larger photo

Race winners

Top 3 finishers

Full results

Overall

Place (chip time)	Bib	Name	Category	Age	Gender
1	803	Trent Cox	40-44 Males	43	M	17:03.3	--100%53.24%49.83%19:30:24.4
2	922	Kody Orlando	13-17 Males	17	M	17:21.6	+0:18.3+1.79%98.24%52.40%48.94%19:30:24.1
3	832	Andrew Eleccion	25-29 Males	27	M	20:38.7	+3:35.4+21.05%82.61%43.40%39.27%19:30:24.2
4	905	Jonathan Mojica Olivas	18-24 Males	20	M	21:05.7	+4:02.4+23.69%80.85%42.16%37.95%19:30:23.8
5	781	Camryn Castillo	13-17 Females	15	F	21:13.9	+4:10.6+24.49%80.33%41.79%37.55%19:30:23.7
6	924	Junhyuk Park	40-44 Males	42	M	21:38.8	+4:35.5+26.92%78.79%40.65%36.33%19:30:24.2
7	915	Brett Norton	18-24 Males	22	M	24:15.3	+7:12.0+42.22%70.32%33.50%28.65%19:30:31.0
8	897	Peyton McCrea	18-24 Females	24	F	24:17.3	+7:14.0+42.41%70.22%33.41%28.56%19:30:31.3
9	700	Gavin Abad	13-17 Males	14	M	24:49.6	+7:46.3+45.57%68.70%31.93%26.97%19:30:24.0
10	898	Beau Mcdougal	35-39 Males	35	M	25:05.6	+8:02.3+47.13%67.97%31.20%26.19%19:30:29.2
11	882	Gavin Lewis	30-34 Males	33	M	25:08.5	+8:05.2+47.42%67.84%31.07%26.05%19:30:23.2
12	900	Seyren Medina	35-39 Females	37	F	25:21.7	+8:18.4+48.71%67.25%30.46%25.40%19:30:25.4
13	907	Austin Mulder	30-34 Males	32	M	25:23.2	+8:19.9+48.85%67.18%30.40%25.33%19:30:23.2
14	986	David Katz	30-34 Males	33	M	25:31.0	+8:27.7+49.61%66.84%30.04%24.94%19:30:26.0
15	919	Anders Olson	10-12 Males	10	M	25:31.7	+8:28.4+49.68%66.81%30.01%24.91%19:30:25.7
16	767	Nicholas Brewer	30-34 Males	30	M	25:41.5	+8:38.2+50.64%66.38%29.56%24.43%19:30:23.9
17	964	Rafael Soto	35-39 Males	36	M	25:41.7	+8:38.4+50.66%66.37%29.55%24.42%19:30:28.9
18	951	Amy Schaumberg	50-54 Females	53	F	25:45.1	+8:41.8+50.99%66.23%29.39%24.25%19:30:25.8
19	981	Philip Wilson	50-54 Males	51	M	25:57.3	+8:54.0+52.18%65.71%28.84%23.65%19:30:27.1
20	908	Rachel Muth	55-59 Females	59	F	25:57.5	+8:54.2+52.20%65.70%28.83%23.64%19:30:24.2
21	950	Lisa Schaefer	50-54 Females	54	F	26:05.4	+9:02.1+52.98%65.37%28.47%23.26%19:30:23.6
22	926	Chuck Pautsch	70-74 Males	72	M	26:44.6	+9:41.3+56.81%63.77%26.68%21.34%19:30:24.1
23	811	Isla Luna Davis	10-12 Females	11	F	26:47.6	+9:44.3+57.10%63.65%26.54%21.19%19:30:27.1
24	877	Owen Lafaver	45-49 Males	46	M	26:53.4	+9:50.1+57.67%63.43%26.27%20.90%19:30:28.2
25	774	Elaine Byers	60-64 Females	64	F	26:58.9	+9:55.6+58.20%63.21%26.02%20.63%19:30:26.1
26	701	Gerrick Abad	18-24 Males	19	M	27:03.3	+10:00.0+58.63%63.04%25.82%20.42%19:30:24.6
27	872	Keona Jones	30-34 Females	34	F	27:07.5	+10:04.2+59.04%62.88%25.63%20.21%19:30:23.2
28	846	Jessica Gomez Viveros	25-29 Females	29	F	27:16.9	+10:13.6+59.96%62.51%25.20%19.75%19:30:23.2
29	959	Lito Silla	60-64 Males	62	M	27:18.0	+10:14.7+60.07%62.47%25.15%19.70%19:30:29.7
30	916	John Novoselac	45-49 Males	47	M	27:40.4	+10:37.1+62.26%61.63%24.13%18.60%19:30:33.4
31	845	Jason Giorgio	50-54 Males	51	M	27:49.1	+10:45.8+63.11%61.31%23.73%18.17%19:30:32.3
32	927	Emily Payette	45-49 Females	45	F	27:50.9	+10:47.6+63.29%61.24%23.65%18.09%19:30:23.2
33	962	Deiondra Smith	25-29 Females	27	F	28:02.8	+10:59.5+64.45%60.81%23.10%17.50%19:30:23.2
34	838	Lara Fantuzzi	40-44 Females	40	F	28:09.6	+11:06.3+65.11%60.56%22.79%17.17%19:30:35.3
35	728	Daniel Avila	30-34 Males	32	M	28:12.3	+11:09.0+65.38%60.47%22.67%17.04%19:30:24.9
36	903	Kellie Meyer	40-44 Females	40	F	28:13.3	+11:10.0+65.47%60.43%22.62%16.99%19:30:28.1
37	813	Joseph Davis	55-59 Males	57	M	28:20.3	+11:17.0+66.16%60.18%22.30%16.64%19:30:28.4
38	893	Brandon Mansfield	45-49 Males	47	M	28:26.2	+11:22.9+66.74%59.98%22.03%16.35%19:30:32.4
39	775	Andrea Camacho	25-29 Females	29	F	28:27.4	+11:24.1+66.85%59.93%21.98%16.30%19:30:33.1
40	970	Luis Torres	30-34 Males	32	M	28:28.1	+11:24.8+66.92%59.91%21.95%16.26%19:30:30.9
41	868	Frankey Janshen	30-34 Females	30	F	28:46.4	+11:43.1+68.71%59.27%21.11%15.36%19:30:39.5
42	888	Pedro Madril	45-49 Males	46	M	28:57.7	+11:54.4+69.81%58.89%20.59%14.81%19:30:25.0
43	921	Jacey Orlando	45-49 Females	47	F	28:59.3	+11:56.0+69.97%58.83%20.52%14.73%19:30:26.6
44	918	Jamie O'Driscoll	55-59 Females	57	F	29:02.1	+11:58.8+70.24%58.74%20.39%14.59%19:30:30.5
45	831	Josh Dukelow	40-44 Males	43	M	29:24.4	+12:21.1+72.42%58.00%19.37%13.50%19:30:29.6
46	890	Jorge Magana	70-74 Males	72	M	29:27.4	+12:24.1+72.72%57.90%19.24%13.35%19:30:24.8
47	840	Tina Feger	55-59 Females	57	F	29:33.0	+12:29.7+73.26%57.72%18.98%13.08%19:30:25.3
48	718	Roman Armenta	40-44 Males	44	M	29:34.0	+12:30.7+73.36%57.68%18.94%13.03%19:30:26.8
49	704	Jun Abad	50-54 Males	53	M	29:42.5	+12:39.2+74.19%57.41%18.55%12.61%19:30:47.1
50	875	Zachary Kadera	30-34 Males	34	M	29:45.0	+12:41.7+74.44%57.33%18.43%12.49%19:30:23.2
51	779	Patrick Carlisle	35-39 Males	39	M	29:49.1	+12:45.8+74.84%57.20%18.25%12.29%19:30:40.2
52	794	Rebecca Contreras	50-54 Females	54	F	29:58.2	+12:54.9+75.73%56.91%17.83%11.84%19:30:26.2
53	884	Vera Lopez	50-54 Females	54	F	30:00.0	+12:56.7+75.90%56.85%17.75%11.76%19:30:32.5
54	785	John Castro	40-44 Males	42	M	30:01.9	+12:58.6+76.09%56.79%17.66%11.66%19:30:26.3
55	815	Louis De Leon	65-69 Males	65	M	30:06.8	+13:03.5+76.57%56.64%17.44%11.42%19:30:23.2
56	977	Andrew Velligan	40-44 Males	42	M	30:26.0	+13:22.7+78.44%56.04%16.56%10.48%19:30:36.2
57	982	Christopher Wurpts	35-39 Males	38	M	30:29.4	+13:26.1+78.77%55.94%16.40%10.31%19:30:23.2
58	863	Kyle Hill	40-44 Males	43	M	30:32.5	+13:29.2+79.08%55.84%16.26%10.16%19:30:26.3
59	714	Elizabeth Allen	60-64 Females	61	F	30:33.0	+13:29.7+79.13%55.83%16.24%10.14%19:30:28.7
60	883	Derek Liu	30-34 Males	31	M	30:43.2	+13:39.9+80.12%55.52%15.77%9.64%19:30:23.2
61	920	Maggie Olson	40-44 Females	42	F	30:45.4	+13:42.1+80.34%55.45%15.67%9.53%19:30:27.1
62	939	Dana Reihman	70-74 Males	71	M	30:53.0	+13:49.7+81.08%55.22%15.33%9.16%19:30:23.6
63	708	Kurt Akbarzadeh	25-29 Males	26	M	31:02.3	+13:59.0+81.99%54.95%14.90%8.70%19:30:34.8
64	954	Michael Schettino	18-24 Males	20	M	31:07.4	+14:04.1+82.49%54.80%14.67%8.45%19:30:27.7
65	953	Anna Schettino	55-59 Females	57	F	31:08.4	+14:05.1+82.59%54.77%14.62%8.40%19:30:27.0
66	928	David Perez	50-54 Males	51	M	31:11.4	+14:08.1+82.88%54.68%14.48%8.26%19:30:48.4
66	880	Sanela Lee	45-49 Females	46	F	31:11.4	+14:08.1+82.88%54.68%14.48%8.26%19:30:28.5
68	867	Genevieve Horn	18-24 Females	21	F	31:22.1	+14:18.8+83.92%54.37%14.00%7.73%19:30:33.7
69	797	Mark Coronado	35-39 Males	38	M	31:54.3	+14:51.0+87.07%53.46%12.52%6.15%19:30:23.2
70	865	Ben Holladay	45-49 Males	49	M	31:55.0	+14:51.7+87.14%53.44%12.49%6.12%19:30:39.2
71	944	Timothy Roesler	55-59 Males	58	M	32:09.8	+15:06.5+88.59%53.03%11.82%5.39%19:30:32.0
72	952	Joda Schaumberg	50-54 Males	54	M	32:25.5	+15:22.2+90.12%52.60%11.10%4.62%19:30:25.6
73	771	Korrie Brown	45-49 Females	46	F	32:26.0	+15:22.7+90.17%52.58%11.08%4.60%19:30:23.2
74	814	Karina Davis	50-54 Females	54	F	32:29.8	+15:26.5+90.54%52.48%10.90%4.41%19:30:34.8
75	848	Mark Green	60-64 Males	62	M	32:32.7	+15:29.4+90.82%52.40%10.77%4.27%19:30:23.2
76	899	Cheryl McKinney	50-54 Females	50	F	32:38.6	+15:35.3+91.40%52.25%10.50%3.98%19:30:30.4
77	807	Keith Dale	50-54 Males	51	M	32:51.4	+15:48.1+92.65%51.91%9.91%3.35%19:30:23.2
78	904	Brian Mitchell	35-39 Males	38	M	33:10.6	+16:07.3+94.53%51.41%9.04%2.41%19:30:23.2
79	935	Daniel Quijano	50-54 Males	54	M	33:16.9	+16:13.6+95.14%51.24%8.75%2.10%19:30:34.1
80	973	Tammy Tower	55-59 Females	55	F	33:21.0	+16:17.7+95.54%51.14%8.56%1.90%19:30:41.7
81	945	Christopher Romero	40-44 Males	40	M	33:25.6	+16:22.3+95.99%51.02%8.35%1.68%19:30:32.1
82	909	Alyssa Nearman	30-34 Females	33	F	33:29.2	+16:25.9+96.35%50.93%8.19%1.50%19:30:31.1
83	876	Della Killeen	55-59 Females	59	F	33:51.9	+16:48.6+98.56%50.36%7.15%0.39%19:30:28.9
84	855	Alexander Harris	55-59 Males	55	M	33:59.8	+16:56.5+99.34%50.17%6.79%0.00%19:30:31.0
85	891	Amber Maloy	40-44 Females	40	F	35:03.0	+17:59.7+105.51%48.66%3.90%-3.10%19:30:23.2
86	943	Angel Rivera	25-29 Females	29	F	35:04.0	+18:00.7+105.61%48.64%3.86%-3.15%19:30:29.1
87	949	Thomas Santilli	30-34 Males	34	M	35:08.8	+18:05.5+106.08%48.53%3.64%-3.38%19:30:29.5
88	894	Jaclyn Marchetti	40-44 Females	41	F	35:22.4	+18:19.1+107.41%48.21%3.01%-4.05%19:30:31.5
89	856	Sandi Harris	60-64 Females	61	F	35:22.9	+18:19.6+107.46%48.20%2.99%-4.07%19:30:23.5
90	833	Alexander Escarrega	13-17 Males	17	M	35:30.8	+18:27.5+108.23%48.02%2.63%-4.46%19:30:33.7
91	966	Timothy Stephens	40-44 Males	42	M	35:31.0	+18:27.7+108.25%48.02%2.62%-4.47%19:30:34.8
92	912	William Nellis	45-49 Males	48	M	35:40.5	+18:37.2+109.18%47.81%2.19%-4.94%19:30:32.3
93	911	Michael Nellis	13-17 Males	16	M	35:41.1	+18:37.8+109.23%47.79%2.16%-4.97%19:30:30.9
94	859	Allan Haugen	55-59 Males	56	M	35:50.1	+18:46.8+110.11%47.59%1.75%-5.41%19:30:32.2
95	795	Lucas Coons	09 & Under Males	9	M	35:58.7	+18:55.4+110.95%47.40%1.36%-5.83%19:30:34.1
96	716	Birgitta Anderson	55-59 Females	56	F	36:03.2	+18:59.9+111.39%47.30%1.15%-6.05%19:30:23.2
97	881	Jim Leonard	40-44 Males	42	M	36:27.0	+19:23.7+113.72%46.79%0.06%-7.22%19:30:40.5
98	783	Carrie Castillo	50-54 Females	52	F	36:28.5	+19:25.2+113.87%46.76%-0.01%-7.29%19:30:35.8
99	965	Scott Stephens	65-69 Males	68	M	36:28.8	+19:25.5+113.90%46.75%-0.02%-7.30%19:30:23.2
100	934	Bernadette Quash	30-34 Females	32	F	36:31.2	+19:27.9+114.13%46.70%-0.13%-7.42%19:30:46.7
101	707	David Aber	50-54 Males	51	M	36:32.5	+19:29.2+114.26%46.67%-0.19%-7.49%19:30:27.1
102	896	Derek McClintock	55-59 Males	57	M	36:34.0	+19:30.7+114.40%46.64%-0.26%-7.56%19:30:23.2
103	929	Teresa Perez	25-29 Females	26	F	36:51.5	+19:48.2+116.11%46.27%-1.06%-8.42%19:30:27.6
104	957	Mark Shabaker	55-59 Males	55	M	37:08.2	+20:04.9+117.75%45.92%-1.82%-9.24%19:30:32.7
105	731	Nick Banaszask	55-59 Males	55	M	37:24.0	+20:20.7+119.29%45.60%-2.54%-10.01%19:30:34.8
106	895	Jill Mathews	50-54 Females	51	F	37:44.0	+20:40.7+121.24%45.20%-3.46%-10.99%19:30:23.2
107	936	Manuel Rangel	40-44 Males	43	M	38:30.6	+21:27.3+125.80%44.29%-5.59%-13.28%19:30:36.2
108	960	Liz Silva	45-49 Females	46	F	38:39.1	+21:35.8+126.63%44.12%-5.97%-13.69%19:30:25.2
109	984	Rubi Erives	35-39 Females	37	F	39:11.1	+22:07.8+129.76%43.52%-7.44%-15.26%19:30:33.3
110	967	Keith Thomas	65-69 Males	65	M	39:25.0	+22:21.7+131.12%43.27%-8.07%-15.94%19:30:34.1
111	969	Randy Tindle	55-59 Males	55	M	39:26.4	+22:23.1+131.25%43.24%-8.14%-16.01%19:30:27.8
112	854	Lexi Harmelink	25-29 Females	26	F	40:14.7	+23:11.4+135.97%42.38%-10.34%-18.38%19:30:35.5
113	852	Monet Hamilton	45-49 Females	47	F	40:43.2	+23:39.9+138.76%41.88%-11.64%-19.78%19:30:44.0
114	948	Lillian Sanelle	10-12 Females	11	F	40:43.8	+23:40.5+138.82%41.87%-11.67%-19.81%19:30:23.2
115	947	Jennifer Sanelle	45-49 Females	45	F	40:45.0	+23:41.7+138.93%41.85%-11.73%-19.86%19:30:23.2
116	768	Derek Breyer	10-12 Males	11	M	41:39.6	+24:36.3+144.27%40.94%-14.22%-22.54%19:30:23.3
117	808	Cindy Davis	45-49 Females	48	F	41:59.3	+24:56.0+146.19%40.62%-15.12%-23.51%19:30:30.2
118	861	Amy Henn	30-34 Females	32	F	42:07.9	+25:04.6+147.03%40.48%-15.52%-23.93%19:30:23.2
119	843	Eddie Garcia	50-54 Males	53	M	42:33.3	+25:30.0+149.52%40.08%-16.68%-25.17%19:30:30.6
120	906	Alejandro Monroy	25-29 Males	26	M	42:40.4	+25:37.1+150.21%39.97%-17.00%-25.52%19:30:40.7
121	733	Kristy Barr	45-49 Females	47	F	42:43.7	+25:40.4+150.53%39.91%-17.15%-25.68%19:30:30.1
122	837	Andrea Espindola	30-34 Females	30	F	42:45.4	+25:42.1+150.70%39.89%-17.23%-25.77%19:30:39.1
123	776	Sheri Camp	70-74 Females	72	F	43:11.9	+26:08.6+153.29%39.48%-18.44%-27.07%19:30:34.0
124	834	Lizbeth Escarrega	18-24 Females	20	F	43:15.8	+26:12.5+153.67%39.42%-18.62%-27.26%19:30:33.0
125	860	Molly Heekin	50-54 Females	54	F	43:22.7	+26:19.4+154.34%39.32%-18.93%-27.60%19:30:43.3
126	866	Heeran Hong	35-39 Females	35	F	43:23.7	+26:20.4+154.44%39.30%-18.98%-27.64%19:30:34.5
127	791	Henry Choi	40-44 Males	44	M	43:24.0	+26:20.7+154.47%39.30%-18.99%-27.66%19:30:34.1
128	793	Craig Citizen	40-44 Males	44	M	43:48.2	+26:44.9+156.84%38.94%-20.10%-28.85%19:30:40.4
129	754	Ryan Boat	35-39 Males	39	M	43:52.7	+26:49.4+157.28%38.87%-20.30%-29.07%19:30:37.6
130	769	Patricia Breyer	70-74 Females	70	F	44:01.8	+26:58.5+158.16%38.73%-20.72%-29.51%19:30:28.4
131	729	Alice Banaszak	50-54 Females	52	F	44:02.4	+26:59.1+158.22%38.73%-20.75%-29.54%19:30:37.0
132	750	Jacquelyn Bensley	60-64 Females	63	F	45:20.4	+28:17.1+165.85%37.62%-24.31%-33.37%19:30:26.5
133	955	Nicole Schneider	30-34 Females	31	F	45:31.7	+28:28.4+166.95%37.46%-24.83%-33.92%19:30:23.2
134	853	Brittany Hans	35-39 Females	36	F	45:34.9	+28:31.6+167.26%37.42%-24.97%-34.08%19:30:35.2
135	873	Sharon Jones	65-69 Females	68	F	45:59.8	+28:56.5+169.70%37.08%-26.11%-35.30%19:30:35.3
136	844	Rayven Garcia	30-34 Females	32	F	46:09.1	+29:05.8+170.60%36.95%-26.54%-35.75%19:30:30.1
137	913	Sergio Nino	35-39 Males	37	M	46:14.4	+29:11.1+171.12%36.88%-26.78%-36.01%19:30:36.8
138	914	Shellie Nino	30-34 Females	34	F	46:15.4	+29:12.1+171.22%36.87%-26.83%-36.06%19:30:35.8
139	817	Laura Desantiago-Rios	50-54 Females	54	F	46:15.6	+29:12.3+171.24%36.87%-26.83%-36.07%19:30:31.3
140	985	Mary Comer	60-64 Females	61	F	47:17.7	+30:14.4+177.31%36.06%-29.67%-39.12%19:30:23.2
141	847	Eric Graber	50-54 Males	54	M	47:19.2	+30:15.9+177.46%36.04%-29.74%-39.19%19:30:23.2
142	745	Sophia Barraza	10-12 Females	12	F	47:42.5	+30:39.2+179.73%35.75%-30.81%-40.33%19:30:35.5
143	972	Keegan Touvell	30-34 Males	32	M	47:59.1	+30:55.8+181.35%35.54%-31.56%-41.15%19:30:27.7
144	886	Anastasha Mackay	30-34 Females	34	F	48:01.6	+30:58.3+181.60%35.51%-31.68%-41.27%19:30:28.3
145	968	Donna Tindle	75 & Over Females	78	F	49:14.3	+32:11.0+188.70%34.64%-35.00%-44.83%19:30:27.0
146	887	Alyssa Madril	40-44 Females	44	F	49:25.2	+32:21.9+189.77%34.51%-35.50%-45.37%19:30:36.6
147	801	Virna Covarrubias	35-39 Females	39	F	49:26.8	+32:23.5+189.92%34.49%-35.57%-45.45%19:30:23.4
148	849	Peggy Haarmann	60-64 Females	61	F	50:02.6	+32:59.3+193.42%34.08%-37.21%-47.20%19:30:23.2
149	806	Scarlett Crawford	13-17 Females	15	F	50:39.4	+33:36.1+197.02%33.67%-38.89%-49.00%19:30:48.2
150	925	Jacob Parkman	35-39 Males	37	M	50:42.5	+33:39.2+197.32%33.63%-39.03%-49.16%19:30:26.9
151	804	Autumn Crawford	45-49 Females	49	F	50:43.3	+33:40.0+197.40%33.62%-39.07%-49.20%19:30:47.1
152	862	Ashley Henn	25-29 Females	28	F	51:26.7	+34:23.4+201.64%33.15%-41.05%-51.32%19:30:23.2
153	857	Lily Harrison	40-44 Females	41	F	51:31.0	+34:27.7+202.06%33.11%-41.25%-51.53%19:30:51.3
154	933	Richard Pritchett	60-64 Males	62	M	51:50.9	+34:47.6+204.01%32.89%-42.16%-52.51%19:30:40.7
155	932	Candy Pritchett	55-59 Females	58	F	51:51.6	+34:48.3+204.08%32.89%-42.19%-52.54%19:30:38.5
156	835	Debbie Escobedo	40-44 Females	42	F	52:50.7	+35:47.4+209.85%32.27%-44.89%-55.44%19:30:41.5
157	821	Tania Duarte	35-39 Females	38	F	52:52.1	+35:48.8+209.99%32.26%-44.95%-55.51%19:30:42.4
158	851	Mary Hamel	60-64 Females	64	F	54:29.8	+37:26.5+219.53%31.30%-49.42%-60.30%19:30:38.7
159	841	Debbie Felton	55-59 Females	57	F	54:54.9	+37:51.6+221.99%31.06%-50.56%-61.53%19:30:32.8
160	923	Sue Ortega	55-59 Females	59	F	55:23.8	+38:20.5+224.81%30.79%-51.88%-62.95%19:30:39.2
161	979	Mindi Watson	45-49 Females	48	F	55:24.2	+38:20.9+224.85%30.78%-51.90%-62.97%19:30:42.8
162	871	Maximus Jimenez	10-12 Males	10	M	57:28.9	+40:25.6+237.04%29.67%-57.60%-69.08%19:30:23.2
163	870	Fred Jimenez	40-44 Males	43	M	57:29.2	+40:25.9+237.07%29.67%-57.62%-69.10%19:30:23.2
164	705	L.J. Abad	25-29 Males	28	M	59:10.0	+42:06.7+246.92%28.83%-62.22%-74.04%19:30:47.6
165	869	Dee Jimenez	40-44 Females	42	F	59:57.0	+42:53.7+251.51%28.45%-64.37%-76.34%19:30:23.2
166	978	Michael Vidra	30-34 Males	34	M	1:05:31.5	+48:28.2+284.20%26.03%-79.65%-92.74%19:30:38.8
167	946	Christina Sanelle	13-17 Females	17	F	1:05:55.6	+48:52.3+286.55%25.87%-80.76%-93.92%19:30:23.2
-	735	John Barraza	40-44 Males	42	M	DNF	-----19:30:34.7
-	720	Martina Ashley	60-64 Females	61	F	DSQ	-----19:30:23.2

Female - Overall

Place (chip time)	Bib	Name	Category	Age	Gender
1	781	Camryn Castillo	13-17 Females	15	F	21:13.9	--100%45.84%45.45%19:30:23.7
2	897	Peyton McCrea	18-24 Females	24	F	24:17.3	+3:03.4+14.40%87.42%38.05%37.59%19:30:31.3
3	900	Seyren Medina	35-39 Females	37	F	25:21.7	+4:07.8+19.45%83.72%35.31%34.83%19:30:25.4
4	951	Amy Schaumberg	50-54 Females	53	F	25:45.1	+4:31.2+21.29%82.45%34.31%33.83%19:30:25.8
5	908	Rachel Muth	55-59 Females	59	F	25:57.5	+4:43.6+22.26%81.79%33.79%33.30%19:30:24.2
6	950	Lisa Schaefer	50-54 Females	54	F	26:05.4	+4:51.5+22.88%81.38%33.45%32.96%19:30:23.6
7	811	Isla Luna Davis	10-12 Females	11	F	26:47.6	+5:33.7+26.20%79.24%31.66%31.15%19:30:27.1
8	774	Elaine Byers	60-64 Females	64	F	26:58.9	+5:45.0+27.08%78.69%31.18%30.67%19:30:26.1
9	872	Keona Jones	30-34 Females	34	F	27:07.5	+5:53.6+27.76%78.27%30.81%30.30%19:30:23.2
10	846	Jessica Gomez Viveros	25-29 Females	29	F	27:16.9	+6:03.0+28.50%77.82%30.41%29.90%19:30:23.2
11	927	Emily Payette	45-49 Females	45	F	27:50.9	+6:37.0+31.16%76.24%28.97%28.44%19:30:23.2
12	962	Deiondra Smith	25-29 Females	27	F	28:02.8	+6:48.9+32.10%75.70%28.46%27.93%19:30:23.2
13	838	Lara Fantuzzi	40-44 Females	40	F	28:09.6	+6:55.7+32.63%75.40%28.17%27.64%19:30:35.3
14	903	Kellie Meyer	40-44 Females	40	F	28:13.3	+6:59.4+32.92%75.23%28.01%27.48%19:30:28.1
15	775	Andrea Camacho	25-29 Females	29	F	28:27.4	+7:13.5+34.03%74.61%27.42%26.88%19:30:33.1
16	868	Frankey Janshen	30-34 Females	30	F	28:46.4	+7:32.5+35.52%73.79%26.61%26.07%19:30:39.5
17	921	Jacey Orlando	45-49 Females	47	F	28:59.3	+7:45.4+36.53%73.24%26.06%25.51%19:30:26.6
18	918	Jamie O'Driscoll	55-59 Females	57	F	29:02.1	+7:48.2+36.75%73.12%25.94%25.40%19:30:30.5
19	840	Tina Feger	55-59 Females	57	F	29:33.0	+8:19.1+39.18%71.85%24.63%24.07%19:30:25.3
20	794	Rebecca Contreras	50-54 Females	54	F	29:58.2	+8:44.3+41.16%70.84%23.56%22.99%19:30:26.2
21	884	Vera Lopez	50-54 Females	54	F	30:00.0	+8:46.1+41.30%70.77%23.48%22.92%19:30:32.5
22	714	Elizabeth Allen	60-64 Females	61	F	30:33.0	+9:19.1+43.89%69.50%22.08%21.50%19:30:28.7
23	920	Maggie Olson	40-44 Females	42	F	30:45.4	+9:31.5+44.86%69.03%21.55%20.97%19:30:27.1
24	953	Anna Schettino	55-59 Females	57	F	31:08.4	+9:54.5+46.67%68.18%20.57%19.99%19:30:27.0
25	880	Sanela Lee	45-49 Females	46	F	31:11.4	+9:57.5+46.90%68.07%20.44%19.86%19:30:28.5
26	867	Genevieve Horn	18-24 Females	21	F	31:22.1	+10:08.2+47.74%67.69%19.99%19.40%19:30:33.7
27	771	Korrie Brown	45-49 Females	46	F	32:26.0	+11:12.1+52.76%65.46%17.27%16.66%19:30:23.2
28	814	Karina Davis	50-54 Females	54	F	32:29.8	+11:15.9+53.06%65.33%17.11%16.50%19:30:34.8
29	899	Cheryl McKinney	50-54 Females	50	F	32:38.6	+11:24.7+53.75%65.04%16.74%16.12%19:30:30.4
30	973	Tammy Tower	55-59 Females	55	F	33:21.0	+12:07.1+57.08%63.66%14.93%14.31%19:30:41.7
31	909	Alyssa Nearman	30-34 Females	33	F	33:29.2	+12:15.3+57.72%63.40%14.58%13.96%19:30:31.1
32	876	Della Killeen	55-59 Females	59	F	33:51.9	+12:38.0+59.50%62.70%13.62%12.98%19:30:28.9
33	891	Amber Maloy	40-44 Females	40	F	35:03.0	+13:49.1+65.08%60.58%10.60%9.94%19:30:23.2
34	943	Angel Rivera	25-29 Females	29	F	35:04.0	+13:50.1+65.16%60.55%10.55%9.90%19:30:29.1
35	894	Jaclyn Marchetti	40-44 Females	41	F	35:22.4	+14:08.5+66.61%60.02%9.77%9.11%19:30:31.5
36	856	Sandi Harris	60-64 Females	61	F	35:22.9	+14:09.0+66.65%60.01%9.75%9.09%19:30:23.5
37	716	Birgitta Anderson	55-59 Females	56	F	36:03.2	+14:49.3+69.81%58.89%8.04%7.36%19:30:23.2
38	783	Carrie Castillo	50-54 Females	52	F	36:28.5	+15:14.6+71.80%58.21%6.96%6.28%19:30:35.8
39	934	Bernadette Quash	30-34 Females	32	F	36:31.2	+15:17.3+72.01%58.14%6.85%6.16%19:30:46.7
40	929	Teresa Perez	25-29 Females	26	F	36:51.5	+15:37.6+73.60%57.60%5.98%5.29%19:30:27.6
41	895	Jill Mathews	50-54 Females	51	F	37:44.0	+16:30.1+77.72%56.27%3.75%3.04%19:30:23.2
42	960	Liz Silva	45-49 Females	46	F	38:39.1	+17:25.2+82.05%54.93%1.41%0.69%19:30:25.2
43	984	Rubi Erives	35-39 Females	37	F	39:11.1	+17:57.2+84.56%54.18%0.05%-0.69%19:30:33.3
44	854	Lexi Harmelink	25-29 Females	26	F	40:14.7	+19:00.8+89.55%52.76%-2.65%-3.41%19:30:35.5
45	852	Monet Hamilton	45-49 Females	47	F	40:43.2	+19:29.3+91.79%52.14%-3.87%-4.63%19:30:44.0
46	948	Lillian Sanelle	10-12 Females	11	F	40:43.8	+19:29.9+91.84%52.13%-3.89%-4.66%19:30:23.2
47	947	Jennifer Sanelle	45-49 Females	45	F	40:45.0	+19:31.1+91.93%52.10%-3.94%-4.71%19:30:23.2
48	808	Cindy Davis	45-49 Females	48	F	41:59.3	+20:45.4+97.76%50.57%-7.10%-7.89%19:30:30.2
49	861	Amy Henn	30-34 Females	32	F	42:07.9	+20:54.0+98.44%50.39%-7.47%-8.26%19:30:23.2
50	733	Kristy Barr	45-49 Females	47	F	42:43.7	+21:29.8+101.25%49.69%-8.99%-9.79%19:30:30.1
51	837	Andrea Espindola	30-34 Females	30	F	42:45.4	+21:31.5+101.38%49.66%-9.06%-9.86%19:30:39.1
52	776	Sheri Camp	70-74 Females	72	F	43:11.9	+21:58.0+103.46%49.15%-10.19%-11.00%19:30:34.0
53	834	Lizbeth Escarrega	18-24 Females	20	F	43:15.8	+22:01.9+103.77%49.08%-10.35%-11.16%19:30:33.0
54	860	Molly Heekin	50-54 Females	54	F	43:22.7	+22:08.8+104.31%48.95%-10.65%-11.46%19:30:43.3
55	866	Heeran Hong	35-39 Females	35	F	43:23.7	+22:09.8+104.39%48.93%-10.69%-11.50%19:30:34.5
56	769	Patricia Breyer	70-74 Females	70	F	44:01.8	+22:47.9+107.38%48.22%-12.31%-13.13%19:30:28.4
57	729	Alice Banaszak	50-54 Females	52	F	44:02.4	+22:48.5+107.43%48.21%-12.33%-13.16%19:30:37.0
58	750	Jacquelyn Bensley	60-64 Females	63	F	45:20.4	+24:06.5+113.55%46.83%-15.65%-16.50%19:30:26.5
59	955	Nicole Schneider	30-34 Females	31	F	45:31.7	+24:17.8+114.44%46.63%-16.13%-16.98%19:30:23.2
60	853	Brittany Hans	35-39 Females	36	F	45:34.9	+24:21.0+114.69%46.58%-16.27%-17.12%19:30:35.2
61	873	Sharon Jones	65-69 Females	68	F	45:59.8	+24:45.9+116.64%46.16%-17.32%-18.19%19:30:35.3
62	844	Rayven Garcia	30-34 Females	32	F	46:09.1	+24:55.2+117.37%46.00%-17.72%-18.59%19:30:30.1
63	914	Shellie Nino	30-34 Females	34	F	46:15.4	+25:01.5+117.87%45.90%-17.99%-18.86%19:30:35.8
64	817	Laura Desantiago-Rios	50-54 Females	54	F	46:15.6	+25:01.7+117.88%45.90%-18.00%-18.86%19:30:31.3
65	985	Mary Comer	60-64 Females	61	F	47:17.7	+26:03.8+122.76%44.89%-20.64%-21.52%19:30:23.2
66	745	Sophia Barraza	10-12 Females	12	F	47:42.5	+26:28.6+124.70%44.50%-21.69%-22.59%19:30:35.5
67	886	Anastasha Mackay	30-34 Females	34	F	48:01.6	+26:47.7+126.20%44.21%-22.50%-23.40%19:30:28.3
68	968	Donna Tindle	75 & Over Females	78	F	49:14.3	+28:00.4+131.91%43.12%-25.59%-26.52%19:30:27.0
69	887	Alyssa Madril	40-44 Females	44	F	49:25.2	+28:11.3+132.77%42.96%-26.06%-26.98%19:30:36.6
70	801	Virna Covarrubias	35-39 Females	39	F	49:26.8	+28:12.9+132.89%42.94%-26.12%-27.05%19:30:23.4
71	849	Peggy Haarmann	60-64 Females	61	F	50:02.6	+28:48.7+135.70%42.43%-27.65%-28.59%19:30:23.2
72	806	Scarlett Crawford	13-17 Females	15	F	50:39.4	+29:25.5+138.59%41.91%-29.21%-30.16%19:30:48.2
73	804	Autumn Crawford	45-49 Females	49	F	50:43.3	+29:29.4+138.90%41.86%-29.38%-30.33%19:30:47.1
74	862	Ashley Henn	25-29 Females	28	F	51:26.7	+30:12.8+142.30%41.27%-31.22%-32.19%19:30:23.2
75	857	Lily Harrison	40-44 Females	41	F	51:31.0	+30:17.1+142.64%41.21%-31.40%-32.37%19:30:51.3
76	932	Candy Pritchett	55-59 Females	58	F	51:51.6	+30:37.7+144.26%40.94%-32.28%-33.25%19:30:38.5
77	835	Debbie Escobedo	40-44 Females	42	F	52:50.7	+31:36.8+148.90%40.18%-34.79%-35.78%19:30:41.5
78	821	Tania Duarte	35-39 Females	38	F	52:52.1	+31:38.2+149.01%40.16%-34.85%-35.84%19:30:42.4
79	851	Mary Hamel	60-64 Females	64	F	54:29.8	+33:15.9+156.68%38.96%-39.01%-40.03%19:30:38.7
80	841	Debbie Felton	55-59 Females	57	F	54:54.9	+33:41.0+158.65%38.66%-40.07%-41.10%19:30:32.8
81	923	Sue Ortega	55-59 Females	59	F	55:23.8	+34:09.9+160.92%38.33%-41.30%-42.34%19:30:39.2
82	979	Mindi Watson	45-49 Females	48	F	55:24.2	+34:10.3+160.95%38.32%-41.32%-42.36%19:30:42.8
83	869	Dee Jimenez	40-44 Females	42	F	59:57.0	+38:43.1+182.36%35.42%-52.92%-54.04%19:30:23.2
84	946	Christina Sanelle	13-17 Females	17	F	1:05:55.6	+44:41.7+210.51%32.20%-68.16%-69.40%19:30:23.2
-	720	Martina Ashley	60-64 Females	61	F	DSQ	-----19:30:23.2

Female - 10-12 Females

Place (chip time)	Bib	Name	Category	Age	Gender
1	811	Isla Luna Davis	10-12 Females	11	F	26:47.6	--100%30.24%34.22%19:30:27.1
2	948	Lillian Sanelle	10-12 Females	11	F	40:43.8	+13:56.2+52.02%65.78%-6.04%0.00%19:30:23.2
3	745	Sophia Barraza	10-12 Females	12	F	47:42.5	+20:54.9+78.06%56.16%-24.21%-17.13%19:30:35.5

Female - 13-17 Females

Place (chip time)	Bib	Name	Category	Age	Gender
1	781	Camryn Castillo	13-17 Females	15	F	21:13.9	--100%53.78%58.09%19:30:23.7
2	806	Scarlett Crawford	13-17 Females	15	F	50:39.4	+29:25.5+138.59%41.91%-10.27%0.00%19:30:48.2
3	946	Christina Sanelle	13-17 Females	17	F	1:05:55.6	+44:41.7+210.51%32.20%-43.51%-30.14%19:30:23.2

Female - 18-24 Females

Place (chip time)	Bib	Name	Category	Age	Gender
1	897	Peyton McCrea	18-24 Females	24	F	24:17.3	--100%26.34%22.57%19:30:31.3
2	867	Genevieve Horn	18-24 Females	21	F	31:22.1	+7:04.8+29.15%77.43%4.87%0.00%19:30:33.7
3	834	Lizbeth Escarrega	18-24 Females	20	F	43:15.8	+18:58.5+78.12%56.14%-31.21%-37.92%19:30:33.0

Female - 25-29 Females

Place (chip time)	Bib	Name	Category	Age	Gender
1	846	Jessica Gomez Viveros	25-29 Females	29	F	27:16.9	--100%22.81%22.20%19:30:23.2
2	962	Deiondra Smith	25-29 Females	27	F	28:02.8	+0:45.9+2.80%97.27%20.64%20.02%19:30:23.2
3	775	Andrea Camacho	25-29 Females	29	F	28:27.4	+1:10.5+4.31%95.87%19.48%18.85%19:30:33.1
4	943	Angel Rivera	25-29 Females	29	F	35:04.0	+7:47.1+28.54%77.80%0.78%0.00%19:30:29.1
5	929	Teresa Perez	25-29 Females	26	F	36:51.5	+9:34.6+35.10%74.02%-4.29%-5.11%19:30:27.6
6	854	Lexi Harmelink	25-29 Females	26	F	40:14.7	+12:57.8+47.52%67.79%-13.87%-14.77%19:30:35.5
7	862	Ashley Henn	25-29 Females	28	F	51:26.7	+24:09.8+88.57%53.03%-45.56%-46.71%19:30:23.2

Female - 30-34 Females

Place (chip time)	Bib	Name	Category	Age	Gender
1	872	Keona Jones	30-34 Females	34	F	27:07.5	--100%31.63%36.09%19:30:23.2
2	868	Frankey Janshen	30-34 Females	30	F	28:46.4	+1:38.9+6.08%94.27%27.48%32.21%19:30:39.5
3	909	Alyssa Nearman	30-34 Females	33	F	33:29.2	+6:21.7+23.45%81.00%15.60%21.10%19:30:31.1
4	934	Bernadette Quash	30-34 Females	32	F	36:31.2	+9:23.7+34.64%74.27%7.95%13.96%19:30:46.7
5	861	Amy Henn	30-34 Females	32	F	42:07.9	+15:00.4+55.32%64.38%-6.19%0.74%19:30:23.2
6	837	Andrea Espindola	30-34 Females	30	F	42:45.4	+15:37.9+57.63%63.44%-7.77%-0.74%19:30:39.1
7	955	Nicole Schneider	30-34 Females	31	F	45:31.7	+18:24.2+67.85%59.58%-14.75%-7.27%19:30:23.2
8	844	Rayven Garcia	30-34 Females	32	F	46:09.1	+19:01.6+70.14%58.77%-16.32%-8.74%19:30:30.1
9	914	Shellie Nino	30-34 Females	34	F	46:15.4	+19:07.9+70.53%58.64%-16.59%-8.98%19:30:35.8
10	886	Anastasha Mackay	30-34 Females	34	F	48:01.6	+20:54.1+77.06%56.48%-21.05%-13.15%19:30:28.3

Female - 35-39 Females

Place (chip time)	Bib	Name	Category	Age	Gender
1	900	Seyren Medina	35-39 Females	37	F	25:21.7	--100%40.52%42.99%19:30:25.4
2	984	Rubi Erives	35-39 Females	37	F	39:11.1	+13:49.4+54.50%64.72%8.10%11.92%19:30:33.3
3	866	Heeran Hong	35-39 Females	35	F	43:23.7	+18:02.0+71.10%58.44%-1.77%2.46%19:30:34.5
4	853	Brittany Hans	35-39 Females	36	F	45:34.9	+20:13.2+79.73%55.64%-6.90%-2.46%19:30:35.2
5	801	Virna Covarrubias	35-39 Females	39	F	49:26.8	+24:05.1+94.97%51.29%-15.96%-11.15%19:30:23.4
6	821	Tania Duarte	35-39 Females	38	F	52:52.1	+27:30.4+108.46%47.97%-23.99%-18.84%19:30:42.4

Female - 40-44 Females

Place (chip time)	Bib	Name	Category	Age	Gender
1	838	Lara Fantuzzi	40-44 Females	40	F	28:09.6	--100%31.74%20.39%19:30:35.3
2	903	Kellie Meyer	40-44 Females	40	F	28:13.3	+0:03.7+0.22%99.78%31.59%20.22%19:30:28.1
3	920	Maggie Olson	40-44 Females	42	F	30:45.4	+2:35.8+9.22%91.56%25.45%13.05%19:30:27.1
4	891	Amber Maloy	40-44 Females	40	F	35:03.0	+6:53.4+24.47%80.34%15.04%0.91%19:30:23.2
5	894	Jaclyn Marchetti	40-44 Females	41	F	35:22.4	+7:12.8+25.62%79.61%14.26%0.00%19:30:31.5
6	887	Alyssa Madril	40-44 Females	44	F	49:25.2	+21:15.6+75.50%56.98%-19.79%-39.71%19:30:36.6
7	857	Lily Harrison	40-44 Females	41	F	51:31.0	+23:21.4+82.94%54.66%-24.87%-45.64%19:30:51.3
8	835	Debbie Escobedo	40-44 Females	42	F	52:50.7	+24:41.1+87.66%53.29%-28.09%-49.39%19:30:41.5
9	869	Dee Jimenez	40-44 Females	42	F	59:57.0	+31:47.4+112.89%46.97%-45.32%-69.48%19:30:23.2

Female - 45-49 Females

Place (chip time)	Bib	Name	Category	Age	Gender
1	927	Emily Payette	45-49 Females	45	F	27:50.9	--100%29.00%31.61%19:30:23.2
2	921	Jacey Orlando	45-49 Females	47	F	28:59.3	+1:08.4+4.09%96.07%26.09%28.81%19:30:26.6
3	880	Sanela Lee	45-49 Females	46	F	31:11.4	+3:20.5+12.00%89.29%20.47%23.40%19:30:28.5
4	771	Korrie Brown	45-49 Females	46	F	32:26.0	+4:35.1+16.46%85.86%17.30%20.35%19:30:23.2
5	960	Liz Silva	45-49 Females	46	F	38:39.1	+10:48.2+38.79%72.05%1.45%5.08%19:30:25.2
6	852	Monet Hamilton	45-49 Females	47	F	40:43.2	+12:52.3+46.22%68.39%-3.82%0.00%19:30:44.0
7	947	Jennifer Sanelle	45-49 Females	45	F	40:45.0	+12:54.1+46.33%68.34%-3.90%-0.07%19:30:23.2
8	808	Cindy Davis	45-49 Females	48	F	41:59.3	+14:08.4+50.78%66.32%-7.06%-3.11%19:30:30.2
9	733	Kristy Barr	45-49 Females	47	F	42:43.7	+14:52.8+53.43%65.18%-8.94%-4.93%19:30:30.1
10	804	Autumn Crawford	45-49 Females	49	F	50:43.3	+22:52.4+82.14%54.90%-29.33%-24.56%19:30:47.1
11	979	Mindi Watson	45-49 Females	48	F	55:24.2	+27:33.3+98.95%50.26%-41.26%-36.06%19:30:42.8

Female - 50-54 Females

Place (chip time)	Bib	Name	Category	Age	Gender
1	951	Amy Schaumberg	50-54 Females	53	F	25:45.1	--100%26.39%21.11%19:30:25.8
2	950	Lisa Schaefer	50-54 Females	54	F	26:05.4	+0:20.3+1.31%98.70%25.43%20.08%19:30:23.6
3	794	Rebecca Contreras	50-54 Females	54	F	29:58.2	+4:13.1+16.38%85.92%14.34%8.19%19:30:26.2
4	884	Vera Lopez	50-54 Females	54	F	30:00.0	+4:14.9+16.50%85.84%14.25%8.10%19:30:32.5
5	814	Karina Davis	50-54 Females	54	F	32:29.8	+6:44.7+26.19%79.24%7.11%0.45%19:30:34.8
6	899	Cheryl McKinney	50-54 Females	50	F	32:38.6	+6:53.5+26.76%78.89%6.69%0.00%19:30:30.4
7	783	Carrie Castillo	50-54 Females	52	F	36:28.5	+10:43.4+41.64%70.60%-4.26%-11.74%19:30:35.8
8	895	Jill Mathews	50-54 Females	51	F	37:44.0	+11:58.9+46.53%68.25%-7.85%-15.59%19:30:23.2
9	860	Molly Heekin	50-54 Females	54	F	43:22.7	+17:37.6+68.45%59.37%-23.99%-32.89%19:30:43.3
10	729	Alice Banaszak	50-54 Females	52	F	44:02.4	+18:17.3+71.02%58.47%-25.88%-34.91%19:30:37.0
11	817	Laura Desantiago-Rios	50-54 Females	54	F	46:15.6	+20:30.5+79.64%55.67%-32.23%-41.71%19:30:31.3

Female - 55-59 Females

Place (chip time)	Bib	Name	Category	Age	Gender
1	908	Rachel Muth	55-59 Females	59	F	25:57.5	--100%31.89%22.76%19:30:24.2
2	918	Jamie O'Driscoll	55-59 Females	57	F	29:02.1	+3:04.6+11.85%89.40%23.82%13.61%19:30:30.5
3	840	Tina Feger	55-59 Females	57	F	29:33.0	+3:35.5+13.84%87.85%22.47%12.07%19:30:25.3
4	953	Anna Schettino	55-59 Females	57	F	31:08.4	+5:10.9+19.96%83.36%18.29%7.34%19:30:27.0
5	973	Tammy Tower	55-59 Females	55	F	33:21.0	+7:23.5+28.48%77.84%12.50%0.77%19:30:41.7
6	876	Della Killeen	55-59 Females	59	F	33:51.9	+7:54.4+30.46%76.65%11.14%-0.77%19:30:28.9
7	716	Birgitta Anderson	55-59 Females	56	F	36:03.2	+10:05.7+38.89%72.00%5.40%-7.28%19:30:23.2
8	932	Candy Pritchett	55-59 Females	58	F	51:51.6	+25:54.1+99.78%50.05%-36.07%-54.31%19:30:38.5
9	841	Debbie Felton	55-59 Females	57	F	54:54.9	+28:57.4+111.55%47.27%-44.09%-63.40%19:30:32.8
10	923	Sue Ortega	55-59 Females	59	F	55:23.8	+29:26.3+113.41%46.86%-45.35%-64.83%19:30:39.2

Female - 60-64 Females

Place (chip time)	Bib	Name	Category	Age	Gender
1	774	Elaine Byers	60-64 Females	64	F	26:58.9	--100%34.89%40.49%19:30:26.1
2	714	Elizabeth Allen	60-64 Females	61	F	30:33.0	+3:34.1+13.23%88.32%26.28%32.62%19:30:28.7
3	856	Sandi Harris	60-64 Females	61	F	35:22.9	+8:24.0+31.13%76.26%14.62%21.96%19:30:23.5
4	750	Jacquelyn Bensley	60-64 Females	63	F	45:20.4	+18:21.5+68.04%59.51%-9.41%0.00%19:30:26.5
5	985	Mary Comer	60-64 Females	61	F	47:17.7	+20:18.8+75.29%57.05%-14.13%-4.31%19:30:23.2
6	849	Peggy Haarmann	60-64 Females	61	F	50:02.6	+23:03.7+85.47%53.92%-20.76%-10.37%19:30:23.2
7	851	Mary Hamel	60-64 Females	64	F	54:29.8	+27:30.9+101.98%49.51%-31.50%-20.20%19:30:38.7
-	720	Martina Ashley	60-64 Females	61	F	DSQ	-----19:30:23.2

Female - 65-69 Females

Place (chip time)	Bib	Name	Category	Age	Gender
1	873	Sharon Jones	65-69 Females	68	F	45:59.8	--100%0.00%0.00%19:30:35.3

Female - 70-74 Females

Place (chip time)	Bib	Name	Category	Age	Gender
1	776	Sheri Camp	70-74 Females	72	F	43:11.9	--100%0.95%0.95%19:30:34.0
2	769	Patricia Breyer	70-74 Females	70	F	44:01.8	+0:49.9+1.93%98.11%-0.95%-0.95%19:30:28.4

Female - 75 & Over Females

Place (chip time)	Bib	Name	Category	Age	Gender
1	968	Donna Tindle	75 & Over Females	78	F	49:14.3	--100%0.00%0.00%19:30:27.0

Male - Overall

Place (chip time)	Bib	Name	Category	Age	Gender
1	803	Trent Cox	40-44 Males	43	M	17:03.3	--100%49.40%45.32%19:30:24.4
2	922	Kody Orlando	13-17 Males	17	M	17:21.6	+0:18.3+1.79%98.24%48.50%44.34%19:30:24.1
3	832	Andrew Eleccion	25-29 Males	27	M	20:38.7	+3:35.4+21.05%82.61%38.75%33.81%19:30:24.2
4	905	Jonathan Mojica Olivas	18-24 Males	20	M	21:05.7	+4:02.4+23.69%80.85%37.42%32.37%19:30:23.8
5	924	Junhyuk Park	40-44 Males	42	M	21:38.8	+4:35.5+26.92%78.79%35.78%30.60%19:30:24.2
6	915	Brett Norton	18-24 Males	22	M	24:15.3	+7:12.0+42.22%70.32%28.04%22.23%19:30:31.0
7	700	Gavin Abad	13-17 Males	14	M	24:49.6	+7:46.3+45.57%68.70%26.35%20.40%19:30:24.0
8	898	Beau Mcdougal	35-39 Males	35	M	25:05.6	+8:02.3+47.13%67.97%25.56%19.55%19:30:29.2
9	882	Gavin Lewis	30-34 Males	33	M	25:08.5	+8:05.2+47.42%67.84%25.41%19.39%19:30:23.2
10	907	Austin Mulder	30-34 Males	32	M	25:23.2	+8:19.9+48.85%67.18%24.69%18.61%19:30:23.2
11	986	David Katz	30-34 Males	33	M	25:31.0	+8:27.7+49.61%66.84%24.30%18.19%19:30:26.0
12	919	Anders Olson	10-12 Males	10	M	25:31.7	+8:28.4+49.68%66.81%24.27%18.15%19:30:25.7
13	767	Nicholas Brewer	30-34 Males	30	M	25:41.5	+8:38.2+50.64%66.38%23.78%17.63%19:30:23.9
14	964	Rafael Soto	35-39 Males	36	M	25:41.7	+8:38.4+50.66%66.37%23.77%17.62%19:30:28.9
15	981	Philip Wilson	50-54 Males	51	M	25:57.3	+8:54.0+52.18%65.71%23.00%16.78%19:30:27.1
16	926	Chuck Pautsch	70-74 Males	72	M	26:44.6	+9:41.3+56.81%63.77%20.66%14.26%19:30:24.1
17	877	Owen Lafaver	45-49 Males	46	M	26:53.4	+9:50.1+57.67%63.43%20.23%13.79%19:30:28.2
18	701	Gerrick Abad	18-24 Males	19	M	27:03.3	+10:00.0+58.63%63.04%19.74%13.26%19:30:24.6
19	959	Lito Silla	60-64 Males	62	M	27:18.0	+10:14.7+60.07%62.47%19.01%12.47%19:30:29.7
20	916	John Novoselac	45-49 Males	47	M	27:40.4	+10:37.1+62.26%61.63%17.90%11.27%19:30:33.4
21	845	Jason Giorgio	50-54 Males	51	M	27:49.1	+10:45.8+63.11%61.31%17.47%10.81%19:30:32.3
22	728	Daniel Avila	30-34 Males	32	M	28:12.3	+11:09.0+65.38%60.47%16.33%9.57%19:30:24.9
23	813	Joseph Davis	55-59 Males	57	M	28:20.3	+11:17.0+66.16%60.18%15.93%9.14%19:30:28.4
24	893	Brandon Mansfield	45-49 Males	47	M	28:26.2	+11:22.9+66.74%59.98%15.64%8.83%19:30:32.4
25	970	Luis Torres	30-34 Males	32	M	28:28.1	+11:24.8+66.92%59.91%15.54%8.73%19:30:30.9
26	888	Pedro Madril	45-49 Males	46	M	28:57.7	+11:54.4+69.81%58.89%14.08%7.14%19:30:25.0
27	831	Josh Dukelow	40-44 Males	43	M	29:24.4	+12:21.1+72.42%58.00%12.76%5.72%19:30:29.6
28	890	Jorge Magana	70-74 Males	72	M	29:27.4	+12:24.1+72.72%57.90%12.61%5.56%19:30:24.8
29	718	Roman Armenta	40-44 Males	44	M	29:34.0	+12:30.7+73.36%57.68%12.29%5.20%19:30:26.8
30	704	Jun Abad	50-54 Males	53	M	29:42.5	+12:39.2+74.19%57.41%11.87%4.75%19:30:47.1
31	875	Zachary Kadera	30-34 Males	34	M	29:45.0	+12:41.7+74.44%57.33%11.74%4.62%19:30:23.2
32	779	Patrick Carlisle	35-39 Males	39	M	29:49.1	+12:45.8+74.84%57.20%11.54%4.40%19:30:40.2
33	785	John Castro	40-44 Males	42	M	30:01.9	+12:58.6+76.09%56.79%10.91%3.71%19:30:26.3
34	815	Louis De Leon	65-69 Males	65	M	30:06.8	+13:03.5+76.57%56.64%10.66%3.45%19:30:23.2
35	977	Andrew Velligan	40-44 Males	42	M	30:26.0	+13:22.7+78.44%56.04%9.71%2.43%19:30:36.2
36	982	Christopher Wurpts	35-39 Males	38	M	30:29.4	+13:26.1+78.77%55.94%9.55%2.24%19:30:23.2
37	863	Kyle Hill	40-44 Males	43	M	30:32.5	+13:29.2+79.08%55.84%9.39%2.08%19:30:26.3
38	883	Derek Liu	30-34 Males	31	M	30:43.2	+13:39.9+80.12%55.52%8.86%1.51%19:30:23.2
39	939	Dana Reihman	70-74 Males	71	M	30:53.0	+13:49.7+81.08%55.22%8.38%0.98%19:30:23.6
40	708	Kurt Akbarzadeh	25-29 Males	26	M	31:02.3	+13:59.0+81.99%54.95%7.92%0.49%19:30:34.8
41	954	Michael Schettino	18-24 Males	20	M	31:07.4	+14:04.1+82.49%54.80%7.67%0.21%19:30:27.7
42	928	David Perez	50-54 Males	51	M	31:11.4	+14:08.1+82.88%54.68%7.47%0.00%19:30:48.4
43	797	Mark Coronado	35-39 Males	38	M	31:54.3	+14:51.0+87.07%53.46%5.35%-2.29%19:30:23.2
44	865	Ben Holladay	45-49 Males	49	M	31:55.0	+14:51.7+87.14%53.44%5.31%-2.33%19:30:39.2
45	944	Timothy Roesler	55-59 Males	58	M	32:09.8	+15:06.5+88.59%53.03%4.58%-3.12%19:30:32.0
46	952	Joda Schaumberg	50-54 Males	54	M	32:25.5	+15:22.2+90.12%52.60%3.81%-3.96%19:30:25.6
47	848	Mark Green	60-64 Males	62	M	32:32.7	+15:29.4+90.82%52.40%3.45%-4.34%19:30:23.2
48	807	Keith Dale	50-54 Males	51	M	32:51.4	+15:48.1+92.65%51.91%2.53%-5.34%19:30:23.2
49	904	Brian Mitchell	35-39 Males	38	M	33:10.6	+16:07.3+94.53%51.41%1.58%-6.37%19:30:23.2
50	935	Daniel Quijano	50-54 Males	54	M	33:16.9	+16:13.6+95.14%51.24%1.26%-6.71%19:30:34.1
51	945	Christopher Romero	40-44 Males	40	M	33:25.6	+16:22.3+95.99%51.02%0.83%-7.17%19:30:32.1
52	855	Alexander Harris	55-59 Males	55	M	33:59.8	+16:56.5+99.34%50.17%-0.86%-9.00%19:30:31.0
53	949	Thomas Santilli	30-34 Males	34	M	35:08.8	+18:05.5+106.08%48.53%-4.27%-12.69%19:30:29.5
54	833	Alexander Escarrega	13-17 Males	17	M	35:30.8	+18:27.5+108.23%48.02%-5.36%-13.86%19:30:33.7
55	966	Timothy Stephens	40-44 Males	42	M	35:31.0	+18:27.7+108.25%48.02%-5.37%-13.87%19:30:34.8
56	912	William Nellis	45-49 Males	48	M	35:40.5	+18:37.2+109.18%47.81%-5.84%-14.38%19:30:32.3
57	911	Michael Nellis	13-17 Males	16	M	35:41.1	+18:37.8+109.23%47.79%-5.86%-14.41%19:30:30.9
58	859	Allan Haugen	55-59 Males	56	M	35:50.1	+18:46.8+110.11%47.59%-6.31%-14.89%19:30:32.2
59	795	Lucas Coons	09 & Under Males	9	M	35:58.7	+18:55.4+110.95%47.40%-6.74%-15.35%19:30:34.1
60	881	Jim Leonard	40-44 Males	42	M	36:27.0	+19:23.7+113.72%46.79%-8.13%-16.86%19:30:40.5
61	965	Scott Stephens	65-69 Males	68	M	36:28.8	+19:25.5+113.90%46.75%-8.22%-16.96%19:30:23.2
62	707	David Aber	50-54 Males	51	M	36:32.5	+19:29.2+114.26%46.67%-8.41%-17.16%19:30:27.1
63	896	Derek McClintock	55-59 Males	57	M	36:34.0	+19:30.7+114.40%46.64%-8.48%-17.24%19:30:23.2
64	957	Mark Shabaker	55-59 Males	55	M	37:08.2	+20:04.9+117.75%45.92%-10.17%-19.07%19:30:32.7
65	731	Nick Banaszask	55-59 Males	55	M	37:24.0	+20:20.7+119.29%45.60%-10.95%-19.91%19:30:34.8
66	936	Manuel Rangel	40-44 Males	43	M	38:30.6	+21:27.3+125.80%44.29%-14.25%-23.47%19:30:36.2
67	967	Keith Thomas	65-69 Males	65	M	39:25.0	+22:21.7+131.12%43.27%-16.94%-26.38%19:30:34.1
68	969	Randy Tindle	55-59 Males	55	M	39:26.4	+22:23.1+131.25%43.24%-17.00%-26.45%19:30:27.8
69	768	Derek Breyer	10-12 Males	11	M	41:39.6	+24:36.3+144.27%40.94%-23.59%-33.57%19:30:23.3
70	843	Eddie Garcia	50-54 Males	53	M	42:33.3	+25:30.0+149.52%40.08%-26.25%-36.44%19:30:30.6
71	906	Alejandro Monroy	25-29 Males	26	M	42:40.4	+25:37.1+150.21%39.97%-26.60%-36.82%19:30:40.7
72	791	Henry Choi	40-44 Males	44	M	43:24.0	+26:20.7+154.47%39.30%-28.75%-39.15%19:30:34.1
73	793	Craig Citizen	40-44 Males	44	M	43:48.2	+26:44.9+156.84%38.94%-29.95%-40.44%19:30:40.4
74	754	Ryan Boat	35-39 Males	39	M	43:52.7	+26:49.4+157.28%38.87%-30.17%-40.68%19:30:37.6
75	913	Sergio Nino	35-39 Males	37	M	46:14.4	+29:11.1+171.12%36.88%-37.18%-48.25%19:30:36.8
76	847	Eric Graber	50-54 Males	54	M	47:19.2	+30:15.9+177.46%36.04%-40.38%-51.72%19:30:23.2
77	972	Keegan Touvell	30-34 Males	32	M	47:59.1	+30:55.8+181.35%35.54%-42.35%-53.85%19:30:27.7
78	925	Jacob Parkman	35-39 Males	37	M	50:42.5	+33:39.2+197.32%33.63%-50.43%-62.58%19:30:26.9
79	933	Richard Pritchett	60-64 Males	62	M	51:50.9	+34:47.6+204.01%32.89%-53.82%-66.23%19:30:40.7
80	871	Maximus Jimenez	10-12 Males	10	M	57:28.9	+40:25.6+237.04%29.67%-70.53%-84.30%19:30:23.2
81	870	Fred Jimenez	40-44 Males	43	M	57:29.2	+40:25.9+237.07%29.67%-70.54%-84.31%19:30:23.2
82	705	L.J. Abad	25-29 Males	28	M	59:10.0	+42:06.7+246.92%28.83%-75.53%-89.70%19:30:47.6
83	978	Michael Vidra	30-34 Males	34	M	1:05:31.5	+48:28.2+284.20%26.03%-94.39%-110.08%19:30:38.8
-	735	John Barraza	40-44 Males	42	M	DNF	-----19:30:34.7

Male - 09 & Under Males

Place (chip time)	Bib	Name	Category	Age	Gender
1	795	Lucas Coons	09 & Under Males	9	M	35:58.7	--100%0.00%0.00%19:30:34.1

Male - 10-12 Males

Place (chip time)	Bib	Name	Category	Age	Gender
1	919	Anders Olson	10-12 Males	10	M	25:31.7	--100%38.57%38.72%19:30:25.7
2	768	Derek Breyer	10-12 Males	11	M	41:39.6	+16:07.9+63.19%61.28%-0.25%0.00%19:30:23.3
3	871	Maximus Jimenez	10-12 Males	10	M	57:28.9	+31:57.2+125.17%44.41%-38.32%-37.98%19:30:23.2

Male - 13-17 Males

Place (chip time)	Bib	Name	Category	Age	Gender
1	922	Kody Orlando	13-17 Males	17	M	17:21.6	--100%38.76%42.46%19:30:24.1
2	700	Gavin Abad	13-17 Males	14	M	24:49.6	+7:28.0+43.01%69.92%12.42%17.71%19:30:24.0
3	833	Alexander Escarrega	13-17 Males	17	M	35:30.8	+18:09.2+104.57%48.88%-25.28%-17.71%19:30:33.7
4	911	Michael Nellis	13-17 Males	16	M	35:41.1	+18:19.5+105.56%48.65%-25.89%-18.28%19:30:30.9

Male - 18-24 Males

Place (chip time)	Bib	Name	Category	Age	Gender
1	905	Jonathan Mojica Olivas	18-24 Males	20	M	21:05.7	--100%18.50%17.77%19:30:23.8
2	915	Brett Norton	18-24 Males	22	M	24:15.3	+3:09.6+14.98%86.97%6.29%5.46%19:30:31.0
3	701	Gerrick Abad	18-24 Males	19	M	27:03.3	+5:57.6+28.25%77.97%-4.53%-5.46%19:30:24.6
4	954	Michael Schettino	18-24 Males	20	M	31:07.4	+10:01.7+47.54%67.78%-20.25%-21.31%19:30:27.7

Male - 25-29 Males

Place (chip time)	Bib	Name	Category	Age	Gender
1	832	Andrew Eleccion	25-29 Males	27	M	20:38.7	--100%46.21%43.98%19:30:24.2
2	708	Kurt Akbarzadeh	25-29 Males	26	M	31:02.3	+10:23.6+50.34%66.51%19.13%15.78%19:30:34.8
3	906	Alejandro Monroy	25-29 Males	26	M	42:40.4	+22:01.7+106.70%48.38%-11.18%-15.78%19:30:40.7
4	705	L.J. Abad	25-29 Males	28	M	59:10.0	+38:31.3+186.59%34.89%-54.16%-60.54%19:30:47.6

Male - 30-34 Males

Place (chip time)	Bib	Name	Category	Age	Gender
1	882	Gavin Lewis	30-34 Males	33	M	25:08.5	--100%24.75%11.69%19:30:23.2
2	907	Austin Mulder	30-34 Males	32	M	25:23.2	+0:14.7+0.97%99.03%24.02%10.82%19:30:23.2
3	986	David Katz	30-34 Males	33	M	25:31.0	+0:22.5+1.49%98.53%23.63%10.37%19:30:26.0
4	767	Nicholas Brewer	30-34 Males	30	M	25:41.5	+0:33.0+2.19%97.86%23.11%9.75%19:30:23.9
5	728	Daniel Avila	30-34 Males	32	M	28:12.3	+3:03.8+12.18%89.14%15.59%0.93%19:30:24.9
6	970	Luis Torres	30-34 Males	32	M	28:28.1	+3:19.6+13.23%88.31%14.80%0.00%19:30:30.9
7	875	Zachary Kadera	30-34 Males	34	M	29:45.0	+4:36.5+18.33%84.51%10.96%-4.50%19:30:23.2
8	883	Derek Liu	30-34 Males	31	M	30:43.2	+5:34.7+22.19%81.84%8.06%-7.91%19:30:23.2
9	949	Thomas Santilli	30-34 Males	34	M	35:08.8	+10:00.3+39.79%71.53%-5.19%-23.46%19:30:29.5
10	972	Keegan Touvell	30-34 Males	32	M	47:59.1	+22:50.6+90.86%52.39%-43.61%-68.56%19:30:27.7
11	978	Michael Vidra	30-34 Males	34	M	1:05:31.5	+40:23.0+160.62%38.37%-96.11%-130.17%19:30:38.8

Male - 35-39 Males

Place (chip time)	Bib	Name	Category	Age	Gender
1	898	Beau Mcdougal	35-39 Males	35	M	25:05.6	--100%28.76%21.35%19:30:29.2
2	964	Rafael Soto	35-39 Males	36	M	25:41.7	+0:36.1+2.40%97.66%27.05%19.46%19:30:28.9
3	779	Patrick Carlisle	35-39 Males	39	M	29:49.1	+4:43.5+18.83%84.15%15.34%6.54%19:30:40.2
4	982	Christopher Wurpts	35-39 Males	38	M	30:29.4	+5:23.8+21.51%82.30%13.44%4.44%19:30:23.2
5	797	Mark Coronado	35-39 Males	38	M	31:54.3	+6:48.7+27.15%78.65%9.42%0.00%19:30:23.2
6	904	Brian Mitchell	35-39 Males	38	M	33:10.6	+8:05.0+32.21%75.64%5.81%-3.99%19:30:23.2
7	754	Ryan Boat	35-39 Males	39	M	43:52.7	+18:47.1+74.86%57.19%-24.57%-37.53%19:30:37.6
8	913	Sergio Nino	35-39 Males	37	M	46:14.4	+21:08.8+84.27%54.27%-31.28%-44.93%19:30:36.8
9	925	Jacob Parkman	35-39 Males	37	M	50:42.5	+25:36.9+102.08%49.49%-43.96%-58.94%19:30:26.9

Male - 40-44 Males

Place (chip time)	Bib	Name	Category	Age	Gender
1	803	Trent Cox	40-44 Males	43	M	17:03.3	--100%49.97%46.68%19:30:24.4
2	924	Junhyuk Park	40-44 Males	42	M	21:38.8	+4:35.5+26.92%78.79%36.50%32.32%19:30:24.2
3	831	Josh Dukelow	40-44 Males	43	M	29:24.4	+12:21.1+72.42%58.00%13.74%8.06%19:30:29.6
4	718	Roman Armenta	40-44 Males	44	M	29:34.0	+12:30.7+73.36%57.68%13.27%7.56%19:30:26.8
5	785	John Castro	40-44 Males	42	M	30:01.9	+12:58.6+76.09%56.79%11.91%6.10%19:30:26.3
6	977	Andrew Velligan	40-44 Males	42	M	30:26.0	+13:22.7+78.44%56.04%10.73%4.85%19:30:36.2
7	863	Kyle Hill	40-44 Males	43	M	30:32.5	+13:29.2+79.08%55.84%10.41%4.51%19:30:26.3
8	945	Christopher Romero	40-44 Males	40	M	33:25.6	+16:22.3+95.99%51.02%1.95%-4.51%19:30:32.1
9	966	Timothy Stephens	40-44 Males	42	M	35:31.0	+18:27.7+108.25%48.02%-4.18%-11.04%19:30:34.8
10	881	Jim Leonard	40-44 Males	42	M	36:27.0	+19:23.7+113.72%46.79%-6.92%-13.96%19:30:40.5
11	936	Manuel Rangel	40-44 Males	43	M	38:30.6	+21:27.3+125.80%44.29%-12.96%-20.40%19:30:36.2
12	791	Henry Choi	40-44 Males	44	M	43:24.0	+26:20.7+154.47%39.30%-27.31%-35.69%19:30:34.1
13	793	Craig Citizen	40-44 Males	44	M	43:48.2	+26:44.9+156.84%38.94%-28.49%-36.95%19:30:40.4
14	870	Fred Jimenez	40-44 Males	43	M	57:29.2	+40:25.9+237.07%29.67%-68.63%-79.73%19:30:23.2
-	735	John Barraza	40-44 Males	42	M	DNF	-----19:30:34.7

Male - 45-49 Males

Place (chip time)	Bib	Name	Category	Age	Gender
1	877	Owen Lafaver	45-49 Males	46	M	26:53.4	--100%10.14%6.30%19:30:28.2
2	916	John Novoselac	45-49 Males	47	M	27:40.4	+0:47.0+2.91%97.17%7.53%3.57%19:30:33.4
3	893	Brandon Mansfield	45-49 Males	47	M	28:26.2	+1:32.8+5.75%94.56%4.98%0.91%19:30:32.4
4	888	Pedro Madril	45-49 Males	46	M	28:57.7	+2:04.3+7.70%92.85%3.22%-0.91%19:30:25.0
5	865	Ben Holladay	45-49 Males	49	M	31:55.0	+5:01.6+18.69%84.25%-6.65%-11.21%19:30:39.2
6	912	William Nellis	45-49 Males	48	M	35:40.5	+8:47.1+32.67%75.37%-19.21%-24.31%19:30:32.3

Male - 50-54 Males

Place (chip time)	Bib	Name	Category	Age	Gender
1	981	Philip Wilson	50-54 Males	51	M	25:57.3	--100%23.58%20.48%19:30:27.1
2	845	Jason Giorgio	50-54 Males	51	M	27:49.1	+1:51.8+7.18%93.30%18.10%14.77%19:30:32.3
3	704	Jun Abad	50-54 Males	53	M	29:42.5	+3:45.2+14.46%87.37%12.53%8.98%19:30:47.1
4	928	David Perez	50-54 Males	51	M	31:11.4	+5:14.1+20.17%83.22%8.17%4.44%19:30:48.4
5	952	Joda Schaumberg	50-54 Males	54	M	32:25.5	+6:28.2+24.93%80.05%4.53%0.66%19:30:25.6
6	807	Keith Dale	50-54 Males	51	M	32:51.4	+6:54.1+26.59%78.99%3.26%-0.66%19:30:23.2
7	935	Daniel Quijano	50-54 Males	54	M	33:16.9	+7:19.6+28.23%77.99%2.01%-1.96%19:30:34.1
8	707	David Aber	50-54 Males	51	M	36:32.5	+10:35.2+40.79%71.03%-7.59%-11.95%19:30:27.1
9	843	Eddie Garcia	50-54 Males	53	M	42:33.3	+16:36.0+63.96%60.99%-25.29%-30.37%19:30:30.6
10	847	Eric Graber	50-54 Males	54	M	47:19.2	+21:21.9+82.32%54.85%-39.32%-44.97%19:30:23.2

Male - 55-59 Males

Place (chip time)	Bib	Name	Category	Age	Gender
1	813	Joseph Davis	55-59 Males	57	M	28:20.3	--100%19.29%21.72%19:30:28.4
2	944	Timothy Roesler	55-59 Males	58	M	32:09.8	+3:49.5+13.50%88.11%8.39%11.15%19:30:32.0
3	855	Alexander Harris	55-59 Males	55	M	33:59.8	+5:39.5+19.97%83.36%3.17%6.09%19:30:31.0
4	859	Allan Haugen	55-59 Males	56	M	35:50.1	+7:29.8+26.45%79.08%-2.07%1.01%19:30:32.2
5	896	Derek McClintock	55-59 Males	57	M	36:34.0	+8:13.7+29.04%77.50%-4.15%-1.01%19:30:23.2
6	957	Mark Shabaker	55-59 Males	55	M	37:08.2	+8:47.9+31.05%76.31%-5.77%-2.59%19:30:32.7
7	731	Nick Banaszask	55-59 Males	55	M	37:24.0	+9:03.7+31.98%75.77%-6.52%-3.31%19:30:34.8
8	969	Randy Tindle	55-59 Males	55	M	39:26.4	+11:06.1+39.18%71.85%-12.33%-8.95%19:30:27.8

Male - 60-64 Males

Place (chip time)	Bib	Name	Category	Age	Gender
1	959	Lito Silla	60-64 Males	62	M	27:18.0	--100%26.67%16.12%19:30:29.7
2	848	Mark Green	60-64 Males	62	M	32:32.7	+5:14.7+19.21%83.88%12.59%0.00%19:30:23.2
3	933	Richard Pritchett	60-64 Males	62	M	51:50.9	+24:32.9+89.92%52.65%-39.26%-59.31%19:30:40.7

Male - 65-69 Males

Place (chip time)	Bib	Name	Category	Age	Gender
1	815	Louis De Leon	65-69 Males	65	M	30:06.8	--100%14.78%17.45%19:30:23.2
2	965	Scott Stephens	65-69 Males	68	M	36:28.8	+6:22.0+21.14%82.55%-3.24%0.00%19:30:23.2
3	967	Keith Thomas	65-69 Males	65	M	39:25.0	+9:18.2+30.89%76.40%-11.55%-8.05%19:30:34.1

Male - 70-74 Males

Place (chip time)	Bib	Name	Category	Age	Gender
1	926	Chuck Pautsch	70-74 Males	72	M	26:44.6	--100%7.87%9.21%19:30:24.1
2	890	Jorge Magana	70-74 Males	72	M	29:27.4	+2:42.8+10.15%90.79%-1.48%0.00%19:30:24.8
3	939	Dana Reihman	70-74 Males	71	M	30:53.0	+4:08.4+15.48%86.59%-6.39%-4.84%19:30:23.6