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Baldwin Troutarama 5k

Saturday, July 23, 2022 9:07 AM (GMT-4) - Final results

Race info

Sport:	Running - road
Location:	Baldwin, MI, United States
Start type:	Mass start
Racers:	134
Timed on:	iPad
Timed with:	Webscorer PRO 5.5
Updated:	Saturday, July 23, 2022 1:01 PM (GMT-4)

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Baldwin Troutarama 5k

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MAP

Race results

Top 3 finishers

Overall

Place	Bib	Name	Category	Age	Gender	Finish time
1	361	Calvin Rohde	Male Age 20 to 24	20	M	16:42.1	--100%57.57%53.58%09:07:26.5
2	337	Caden Meyer	Male Age 15 to 19	18	M	16:43.4	+0:01.3+0.13%99.87%57.52%53.52%09:07:26.5
3	304	Carson Wood	Male Age 15 to 19	15	M	19:39.7	+2:57.6+17.72%84.95%50.05%45.36%09:07:26.5
4	359	Lance Morris	Male Age 30 to 34	32	M	20:47.7	+4:05.6+24.51%80.32%47.17%42.21%09:07:26.5
5	309	Logan Dudley	Male Age 15 to 19	15	M	20:49.3	+4:07.2+24.67%80.21%47.11%42.14%09:07:26.5
6	405	Garrison Klinge	Male Age 15 to 19	16	M	20:59.9	+4:17.8+25.73%79.54%46.66%41.64%09:07:26.5
7	407	Aaron Gancarz	Male Age 55 to 59	58	M	21:25.6	+4:43.5+28.29%77.95%45.57%40.45%09:07:26.5
8	414	Louis Canfield	Male Age 40 to 44	43	M	21:53.0	+5:10.9+31.02%76.32%44.41%39.18%09:07:26.5
9	422	Christopher Morales	Male Age 30 to 34	34	M	22:05.7	+5:23.6+32.29%75.59%43.87%38.60%09:07:26.5
10	358	Michael Werth	Male Age 25 to 29	25	M	22:15.2	+5:33.1+33.24%75.05%43.47%38.16%09:07:26.5
11	300	Kennedi Wood	Female Age 15 to 19	16	F	22:32.7	+5:50.6+34.99%74.08%42.73%37.35%09:07:26.5
12	347	Mitchell Plosz	Male Age 35 to 39	37	M	22:49.1	+6:07.0+36.62%73.19%42.04%36.59%09:07:26.5
13	423	Trammel Robinson	Male Age 15 to 19	17	M	23:23.7	+6:41.6+40.08%71.39%40.57%34.98%09:07:26.5
14	319	Matthew Prince	Male Age 30 to 34	32	M	23:30.8	+6:48.7+40.78%71.03%40.27%34.65%09:07:26.5
15	302	Evan Wood	Male Age 10 to 14	13	M	23:41.4	+6:59.3+41.84%70.50%39.82%34.16%09:07:26.5
16	412	Atlas Ruddick	Male Age 9 and Under	1	M	23:50.3	+7:08.2+42.73%70.06%39.44%33.75%09:07:26.5
17	411	Julie Morrow	Female Age 50 to 54	52	F	23:50.8	+7:08.7+42.78%70.04%39.42%33.73%09:07:26.5
18	308	Joe Clark	Male Age 50 to 54	54	M	24:04.9	+7:22.8+44.19%69.35%38.83%33.08%09:07:26.5
19	385	HB Nichols	Male Age 15 to 19	19	M	24:23.0	+7:40.9+45.99%68.50%38.06%32.24%09:07:26.5
20	382	Maxwell Nichols	Male Age 15 to 19	16	M	24:23.5	+7:41.4+46.04%68.47%38.04%32.21%09:07:26.5
21	415	Leslie Smies	Female Age 40 to 44	41	F	24:48.2	+8:06.1+48.51%67.34%36.99%31.07%09:07:26.5
22	393	Carl Colletti	Male Age 10 to 14	10	M	25:17.7	+8:35.6+51.45%66.03%35.74%29.70%09:07:26.5
23	322	Thomas Prince	Male Age 55 to 59	59	M	25:41.2	+8:59.1+53.80%65.02%34.75%28.62%09:07:26.5
24	397	Rick McGahey	Male Age 50 to 54	53	M	25:50.2	+9:08.1+54.70%64.64%34.37%28.20%09:07:26.5
25	391	Laura Rohde	Female Age 50 to 54	53	F	25:55.6	+9:13.5+55.23%64.42%34.14%27.95%09:07:26.5
26	348	Stacey Dudick	Female Age 50 to 54	50	F	26:15.6	+9:33.5+57.23%63.60%33.29%27.02%09:07:26.5
27	408	Adam Voss	Male Age 25 to 29	27	M	26:34.4	+9:52.3+59.11%62.85%32.50%26.15%09:07:26.5
28	303	Addisyn Wood	Female Age 10 to 14	11	F	27:11.5	+10:29.4+62.81%61.42%30.93%24.43%09:07:26.5
29	409	Luke Andrus	Male Age 40 to 44	42	M	27:19.3	+10:37.2+63.59%61.13%30.60%24.07%09:07:26.5
30	396	David Pontius	Male Age 65 to 69	69	M	27:43.2	+11:01.1+65.97%60.25%29.58%22.96%09:07:26.5
31	318	Kathy Calabretta	Female Age 70 and over	74	F	27:52.8	+11:10.7+66.93%59.91%29.18%22.52%09:07:26.5
32	331	John Haga	Male Age 50 to 54	52	M	28:11.1	+11:29.0+68.76%59.26%28.40%21.67%09:07:26.5
33	424	Doug Scott	Male Age 35 to 39	35	M	28:47.7	+12:05.6+72.41%58.00%26.85%19.98%09:07:26.5
34	426	Olive Scott	Female Age 9 and Under	5	F	28:49.7	+12:07.6+72.61%57.93%26.77%19.88%09:07:26.5
35	369	Emily Willemin	Female Age 15 to 19	16	F	28:57.1	+12:15.0+73.35%57.69%26.45%19.54%09:07:26.5
36	376	Wesson Ferski	Male Age 9 and Under	7	M	29:13.8	+12:31.7+75.01%57.14%25.75%18.77%09:07:26.5
37	406	Troy Klinge	Male Age 50 to 54	50	M	29:22.2	+12:40.1+75.85%56.87%25.39%18.38%09:07:26.5
38	421	Vikki Boersma	Female Age 45 to 49	45	F	29:40.9	+12:58.8+77.72%56.27%24.60%17.51%09:07:26.5
39	394	Julie Clancy	Female Age 10 to 14	11	F	29:44.4	+13:02.3+78.07%56.16%24.45%17.35%09:07:26.5
40	362	Patti Duflo	Female Age 65 to 69	67	F	30:02.5	+13:20.4+79.87%55.60%23.69%16.51%09:07:26.5
41	342	L Norton	Female Age 25 to 29	28	M	30:19.8	+13:37.7+81.60%55.07%22.95%15.71%09:07:26.5
42	380	Hunter Nichols	Male Age 25 to 29	27	M	30:32.6	+13:50.5+82.88%54.68%22.41%15.12%09:07:26.5
43	429	Joseph Marek	Male Age 25 to 29	26	M	30:37.0	+13:54.9+83.32%54.55%22.23%14.91%09:07:26.5
44	329	Annie Minshall	Female Age 50 to 54	51	F	30:37.9	+13:55.8+83.40%54.52%22.19%14.87%09:07:26.5
45	320	Leigh Prince	Female Age 30 to 34	31	F	30:41.5	+13:59.4+83.76%54.42%22.03%14.71%09:07:26.5
46	354	Cristine Rosenthal	Female Age 55 to 59	58	F	30:48.6	+14:06.5+84.47%54.21%21.73%14.38%09:07:26.5
47	343	Lizzy Whitmyer	Female Age 40 to 44	42	F	31:21.2	+14:39.1+87.73%53.27%20.35%12.87%09:07:26.5
48	368	John Willemin	Male Age 50 to 54	52	M	31:48.8	+15:06.7+90.48%52.50%19.19%11.59%09:07:26.5
49	374	Rich Derby	Male Age 60 to 64	62	M	31:52.1	+15:10.0+90.81%52.41%19.05%11.44%09:07:26.5
50	367	Kimberly Plummer	Female Age 60 to 64	64	F	31:56.2	+15:14.1+91.22%52.30%18.87%11.25%09:07:26.5
51	416	Ben Smies	Male Age 40 to 44	41	M	32:09.2	+15:27.1+92.52%51.94%18.32%10.64%09:07:26.5
52	377	Scott Ferski	Male Age 50 to 54	54	M	32:18.9	+15:36.8+93.48%51.68%17.91%10.19%09:07:26.5
53	311	Ted Stevens	Male Age 50 to 54	51	M	32:23.6	+15:41.5+93.95%51.56%17.71%9.98%09:07:26.5
54	352	Lacy Moore	Female Age 40 to 44	41	F	32:25.3	+15:43.2+94.12%51.51%17.64%9.90%09:07:26.5
55	432	Tina Engle	Female Age 50 to 54	52	F	32:41.9	+15:59.8+95.78%51.08%16.94%9.13%09:07:26.5
56	425	Caitlin Scott	Female Age 30 to 34	34	F	32:45.3	+16:03.2+96.12%50.99%16.79%8.97%09:07:26.5
57	375	Colton Ferski	Male Age 10 to 14	14	M	32:49.0	+16:06.9+96.49%50.89%16.64%8.80%09:07:26.5
58	355	Roger Rosenthal	Male Age 55 to 59	59	M	33:03.1	+16:21.0+97.89%50.53%16.04%8.15%09:07:26.5
59	301	Daniel Myszak	Male Age 60 to 64	64	M	33:04.4	+16:22.3+98.02%50.50%15.98%8.09%09:07:26.5
60	321	Julie Prince	Female Age 65 to 69	65	F	33:18.2	+16:36.1+99.40%50.15%15.40%7.45%09:07:26.5
61	350	Elizabeth Zeman	Female Age 40 to 44	44	F	34:02.4	+17:20.3+103.81%49.06%13.53%5.40%09:07:26.5
62	325	Jenny Zaverl	Female Age 30 to 34	34	F	34:59.8	+18:17.7+109.54%47.72%11.10%2.74%09:07:26.5
63	346	Jane Southwick	Female Age 35 to 39	39	F	35:39.4	+18:57.3+113.49%46.84%9.42%0.91%09:07:26.5
64	392	Joanna Colletti	Female Age 45 to 49	45	F	35:57.1	+19:15.0+115.26%46.46%8.67%0.09%09:07:26.5
65	372	Addie Dewitt	Female Age 10 to 14	10	F	36:00.9	+19:18.8+115.64%46.37%8.51%-0.09%09:07:26.5
66	371	Jeremiah Dewitt	Male Age 40 to 44	41	M	36:28.7	+19:46.6+118.41%45.79%7.33%-1.38%09:07:26.5
67	349	Melissa Green	Female Age 45 to 49	45	F	37:15.9	+20:33.8+123.12%44.82%5.34%-3.56%09:07:26.5
68	328	Debra Proefrock	Female Age 45 to 49	46	F	38:03.0	+21:20.9+127.82%43.89%3.34%-5.74%09:07:26.5
69	433	Jan Detzer	Female Age 55 to 59	56	F	38:17.4	+21:35.3+129.26%43.62%2.73%-6.41%09:07:26.5
70	389	Rachael Oldfield	Female Age 25 to 29	29	F	38:22.9	+21:40.8+129.81%43.51%2.50%-6.67%09:07:26.5
71	390	Oliver Meadows	Male Age 9 and Under	4	M	38:25.1	+21:43.0+130.03%43.47%2.41%-6.77%09:07:26.5
72	353	Deb Laiskonis	Female Age 65 to 69	68	F	38:30.9	+21:48.8+130.61%43.36%2.16%-7.04%09:07:26.5
73	316	Nicole Lanning	Female Age 45 to 49	48	F	38:42.0	+21:59.9+131.71%43.16%1.69%-7.55%09:07:26.5
74	395	Rockwell Clancy	Male Age 65 to 69	66	M	38:47.1	+22:05.0+132.22%43.06%1.48%-7.79%09:07:26.5
75	381	Christielee Nichols	Female Age 25 to 29	27	F	38:52.2	+22:10.1+132.73%42.97%1.26%-8.02%09:07:26.5
76	431	Justice Gilchrist	Male Age 25 to 29	25	M	39:17.7	+22:35.6+135.28%42.50%0.18%-9.20%09:07:26.5
77	378	Shawn Ware	Female Age 45 to 49	48	F	39:33.2	+22:51.1+136.82%42.23%-0.48%-9.92%09:07:26.5
78	324	Dan Lori	Male Age 70 and over	75	M	40:36.0	+23:53.9+143.09%41.14%-3.14%-12.83%09:07:26.5
79	430	Elijah Shivery	Male Age 25 to 29	27	M	41:26.1	+24:44.0+148.09%40.31%-5.26%-15.15%09:07:26.5
80	428	Steven Dykman	Male Age 25 to 29	26	M	41:39.4	+24:57.3+149.42%40.09%-5.82%-15.77%09:07:26.5
81	434	Ryan Vanderwall	Male Age 25 to 29	26	M	42:48.2	+26:06.1+156.28%39.02%-8.73%-18.95%09:07:26.5
82	312	Bailey Stevens	Female Age 20 to 24	23	F	43:09.7	+26:27.6+158.43%38.70%-9.64%-19.95%09:07:26.5
83	386	Diane Aamoth	Female Age 70 and over	71	F	43:22.8	+26:40.7+159.73%38.50%-10.20%-20.56%09:07:26.5
84	410	Steve Morrow	Male Age 50 to 54	52	M	43:48.2	+27:06.1+162.27%38.13%-11.27%-21.73%09:07:26.5
85	370	Nicole Dewitt	Female Age 40 to 44	42	F	44:53.5	+28:11.4+168.79%37.20%-14.04%-24.76%09:07:26.5
86	366	Alison Reichow	Female Age 40 to 44	42	F	45:27.2	+28:45.1+172.15%36.74%-15.46%-26.32%09:07:26.5
87	335	Lillian Stemaly	Female Age 10 to 14	13	F	45:29.2	+28:47.1+172.35%36.72%-15.55%-26.41%09:07:26.5
88	383	Michelle Taylor	Female Age 45 to 49	46	F	46:10.6	+29:28.5+176.48%36.17%-17.30%-28.33%09:07:26.5
89	373	Jody Stadt	Female Age 65 to 69	68	F	46:36.6	+29:54.5+179.07%35.83%-18.40%-29.53%09:07:26.5
90	384	Jodi Shoebottom	Female Age 50 to 54	51	F	46:40.8	+29:58.7+179.49%35.78%-18.58%-29.73%09:07:26.5
91	315	Eric Putkela	Male Age 35 to 39	37	M	46:51.0	+30:08.9+180.51%35.65%-19.01%-30.20%09:07:26.5
92	400	Nicole McGahey	Female Age 50 to 54	51	F	47:22.1	+30:40.0+183.61%35.26%-20.33%-31.64%09:07:26.5
93	332	Dawn Reichow	Female Age 45 to 49	49	F	48:46.2	+32:04.1+192.01%34.25%-23.89%-35.53%09:07:26.5
94	351	Kay Danforth	Female Age 65 to 69	66	F	49:47.9	+33:05.8+198.16%33.54%-26.50%-38.39%09:07:26.5
95	398	Veyda Sperring	Female Age 9 and Under	7	F	50:34.3	+33:52.2+202.79%33.03%-28.47%-40.54%09:07:26.5
96	399	Rob Sperring	Male Age 45 to 49	47	M	50:52.6	+34:10.5+204.62%32.83%-29.24%-41.39%09:07:26.5
97	305	Valorie Vernon	Female Age 50 to 54	51	F	51:27.1	+34:45.0+208.06%32.46%-30.70%-42.99%09:07:26.5
98	363	Doug Duflo	Male Age 65 to 69	69	M	52:47.6	+36:05.5+216.10%31.64%-34.11%-46.72%09:07:26.5
99	427	Olive Wright	Female Age 9 and Under	8	F	52:53.5	+36:11.4+216.68%31.58%-34.36%-46.99%09:07:26.5
100	333	Arabella Moffitt	Female Age 9 and Under	8	F	52:56.4	+36:14.3+216.97%31.55%-34.48%-47.12%09:07:26.5
101	307	Tracy Stickle	Female Age 50 to 54	53	F	53:00.6	+36:18.5+217.39%31.51%-34.66%-47.32%09:07:26.5
102	306	Tina Dooley	Female Age 55 to 59	50	F	53:01.4	+36:19.3+217.47%31.50%-34.69%-47.36%09:07:26.5
103	387	Michael Matson	Male Age 45 to 49	46	M	55:00.6	+38:18.5+229.37%30.36%-39.74%-52.88%09:07:26.5
104	388	Jacob Matson	Male Age 15 to 19	15	M	55:01.3	+38:19.2+229.44%30.35%-39.77%-52.91%09:07:26.5
105	417	Elliot Kinstner	Female Age 10 to 14	10	F	55:10.3	+38:28.2+230.34%30.27%-40.15%-53.33%09:07:26.5
106	420	Patricia McDonald	Female Age 65 to 69	65	F	55:33.6	+38:51.5+232.66%30.06%-41.14%-54.40%09:07:26.5
107	327	Thomas Proefrock	Male Age 10 to 14	12	M	56:13.4	+39:31.3+236.63%29.71%-42.82%-56.25%09:07:26.5
108	364	Wendy Schultz	Female Age 50 to 54	50	F	56:23.2	+39:41.1+237.61%29.62%-43.24%-56.70%09:07:26.5
109	365	Jeffrey Lameris	Male Age 55 to 59	57	M	56:24.8	+39:42.7+237.77%29.61%-43.31%-56.78%09:07:26.5
110	419	Penelope Kinstner	Female Age 10 to 14	10	F	56:48.9	+40:06.8+240.18%29.40%-44.33%-57.89%09:07:26.5
111	418	Melissa Kinstner	Female Age 35 to 39	37	F	56:54.9	+40:12.8+240.77%29.34%-44.58%-58.17%09:07:26.5
112	360	Patricia Bartel	Female Age 70 and over	70	F	58:09.2	+41:27.1+248.19%28.72%-47.73%-61.61%09:07:26.5
113	344	Don Beyer	Male Age 55 to 59	58	M	59:11.0	+42:28.9+254.36%28.22%-50.34%-64.47%09:07:26.5
114	314	Christina Putkela	Female Age 35 to 39	36	F	1:01:23.7	+44:41.6+267.60%27.20%-55.96%-70.62%09:07:26.5
115	310	Therese Stevens	Female Age 55 to 59	56	F	1:01:24.4	+44:42.3+267.67%27.20%-55.99%-70.65%09:07:26.5
116	313	Lily Putkela	Female Age 10 to 14	13	F	1:01:29.5	+44:47.4+268.18%27.16%-56.21%-70.89%09:07:26.5
117	339	S Sheneman	Female Age 40 to 44	40	F	1:01:59.3	+45:17.2+271.15%26.94%-57.47%-72.27%09:07:26.5
118	341	R Norton	Female Age 25 to 29	27	F	1:02:00.1	+45:18.0+271.23%26.94%-57.50%-72.31%09:07:26.5
119	340	M Sheneman	Male Age 55 to 59	57	M	1:02:01.4	+45:19.3+271.36%26.93%-57.56%-72.37%09:07:26.5
120	323	Pamela Anderson	Female Age 45 to 49	46	F	1:04:26.9	+47:44.8+285.88%25.91%-63.72%-79.11%09:07:26.5
121	334	Laura Reichow	Female Age 45 to 49	45	F	1:05:23.0	+48:40.9+291.48%25.54%-66.09%-81.70%09:07:26.5
122	336	Kiara Learned	Female Age 10 to 14	12	F	1:05:24.4	+48:42.3+291.62%25.54%-66.15%-81.77%09:07:26.5
123	436	Kennedy Myers	Female Age 20 to 24	20	F	1:06:36.2	+49:54.1+298.78%25.08%-69.19%-85.09%09:07:26.5
124	404	Nickie Myers	Female Age 40 to 44	42	F	1:06:38.1	+49:56.0+298.97%25.06%-69.27%-85.18%09:07:26.5
125	356	Christie Robinson	Female Age 50 to 54	51	F	1:06:40.9	+49:58.8+299.25%25.05%-69.39%-85.31%09:07:26.5
126	435	Mongne Anstell	Female Age 50 to 54	53	F	1:06:42.5	+50:00.4+299.41%25.04%-69.46%-85.39%09:07:26.5
127	403	Gezelle Myers	Female Age 55 to 59	59	F	1:06:50.5	+50:08.4+300.21%24.99%-69.80%-85.76%09:07:26.5
128	357	Marsha Clapp	Female Age 70 and over	80	F	1:08:26.5	+51:44.4+309.79%24.40%-73.86%-90.20%09:07:26.5
-	330	Holly Stanton	Female Age 45 to 49	48	F	DNF	-----09:07:26.5
-	338	Luke Lori	Male Age 40 to 44	43	M	DNF	-----09:07:26.5
-	345	Christopher Southwick	Male Age 40 to 44	42	M	DNF	-----09:07:26.5
-	401	Ezra Sperring	Male Age 10 to 14	14	M	DNF	-----09:07:26.5
-	402	Jordyn Harrington	Female Age 15 to 19	16	F	DNF	-----09:07:26.5
-	413	Matthew Ruddick	Male Age 40 to 44	40	M	DNF	-----09:07:26.5

Female - Overall

Place	Bib	Name	Category	Age	Gender	Finish time
1	300	Kennedi Wood	Female Age 15 to 19	16	F	22:32.7	--100%49.39%48.03%09:07:26.5
2	411	Julie Morrow	Female Age 50 to 54	52	F	23:50.8	+1:18.1+5.77%94.54%46.47%45.03%09:07:26.5
3	415	Leslie Smies	Female Age 40 to 44	41	F	24:48.2	+2:15.5+10.02%90.90%44.32%42.82%09:07:26.5
4	391	Laura Rohde	Female Age 50 to 54	53	F	25:55.6	+3:22.9+15.00%86.96%41.80%40.23%09:07:26.5
5	348	Stacey Dudick	Female Age 50 to 54	50	F	26:15.6	+3:42.9+16.48%85.85%41.05%39.47%09:07:26.5
6	303	Addisyn Wood	Female Age 10 to 14	11	F	27:11.5	+4:38.8+20.61%82.91%38.96%37.32%09:07:26.5
7	318	Kathy Calabretta	Female Age 70 and over	74	F	27:52.8	+5:20.1+23.66%80.86%37.41%35.73%09:07:26.5
8	426	Olive Scott	Female Age 9 and Under	5	F	28:49.7	+6:17.0+27.87%78.20%35.28%33.54%09:07:26.5
9	369	Emily Willemin	Female Age 15 to 19	16	F	28:57.1	+6:24.4+28.42%77.87%35.01%33.26%09:07:26.5
10	421	Vikki Boersma	Female Age 45 to 49	45	F	29:40.9	+7:08.2+31.66%75.96%33.37%31.58%09:07:26.5
11	394	Julie Clancy	Female Age 10 to 14	11	F	29:44.4	+7:11.7+31.91%75.81%33.24%31.44%09:07:26.5
12	362	Patti Duflo	Female Age 65 to 69	67	F	30:02.5	+7:29.8+33.25%75.05%32.56%30.75%09:07:26.5
13	329	Annie Minshall	Female Age 50 to 54	51	F	30:37.9	+8:05.2+35.87%73.60%31.23%29.39%09:07:26.5
14	320	Leigh Prince	Female Age 30 to 34	31	F	30:41.5	+8:08.8+36.14%73.46%31.10%29.25%09:07:26.5
15	354	Cristine Rosenthal	Female Age 55 to 59	58	F	30:48.6	+8:15.9+36.66%73.17%30.83%28.98%09:07:26.5
16	343	Lizzy Whitmyer	Female Age 40 to 44	42	F	31:21.2	+8:48.5+39.07%71.91%29.61%27.72%09:07:26.5
17	367	Kimberly Plummer	Female Age 60 to 64	64	F	31:56.2	+9:23.5+41.66%70.59%28.30%26.38%09:07:26.5
18	352	Lacy Moore	Female Age 40 to 44	41	F	32:25.3	+9:52.6+43.81%69.54%27.22%25.26%09:07:26.5
19	432	Tina Engle	Female Age 50 to 54	52	F	32:41.9	+10:09.2+45.04%68.95%26.59%24.62%09:07:26.5
20	425	Caitlin Scott	Female Age 30 to 34	34	F	32:45.3	+10:12.6+45.29%68.83%26.47%24.49%09:07:26.5
21	321	Julie Prince	Female Age 65 to 69	65	F	33:18.2	+10:45.5+47.72%67.70%25.24%23.23%09:07:26.5
22	350	Elizabeth Zeman	Female Age 40 to 44	44	F	34:02.4	+11:29.7+50.99%66.23%23.58%21.53%09:07:26.5
23	325	Jenny Zaverl	Female Age 30 to 34	34	F	34:59.8	+12:27.1+55.23%64.42%21.43%19.33%09:07:26.5
24	346	Jane Southwick	Female Age 35 to 39	39	F	35:39.4	+13:06.7+58.16%63.23%19.95%17.80%09:07:26.5
25	392	Joanna Colletti	Female Age 45 to 49	45	F	35:57.1	+13:24.4+59.47%62.71%19.29%17.12%09:07:26.5
26	372	Addie Dewitt	Female Age 10 to 14	10	F	36:00.9	+13:28.2+59.75%62.60%19.15%16.98%09:07:26.5
27	349	Melissa Green	Female Age 45 to 49	45	F	37:15.9	+14:43.2+65.29%60.50%16.34%14.10%09:07:26.5
28	328	Debra Proefrock	Female Age 45 to 49	46	F	38:03.0	+15:30.3+68.77%59.25%14.58%12.29%09:07:26.5
29	433	Jan Detzer	Female Age 55 to 59	56	F	38:17.4	+15:44.7+69.84%58.88%14.04%11.73%09:07:26.5
30	389	Rachael Oldfield	Female Age 25 to 29	29	F	38:22.9	+15:50.2+70.24%58.74%13.84%11.52%09:07:26.5
31	353	Deb Laiskonis	Female Age 65 to 69	68	F	38:30.9	+15:58.2+70.84%58.54%13.54%11.21%09:07:26.5
32	316	Nicole Lanning	Female Age 45 to 49	48	F	38:42.0	+16:09.3+71.66%58.26%13.12%10.79%09:07:26.5
33	381	Christielee Nichols	Female Age 25 to 29	27	F	38:52.2	+16:19.5+72.41%58.00%12.74%10.40%09:07:26.5
34	378	Shawn Ware	Female Age 45 to 49	48	F	39:33.2	+17:00.5+75.44%57.00%11.21%8.82%09:07:26.5
35	312	Bailey Stevens	Female Age 20 to 24	23	F	43:09.7	+20:37.0+91.45%52.23%3.11%0.50%09:07:26.5
36	386	Diane Aamoth	Female Age 70 and over	71	F	43:22.8	+20:50.1+92.42%51.97%2.61%0.00%09:07:26.5
37	370	Nicole Dewitt	Female Age 40 to 44	42	F	44:53.5	+22:20.8+99.12%50.22%-0.78%-3.48%09:07:26.5
38	366	Alison Reichow	Female Age 40 to 44	42	F	45:27.2	+22:54.5+101.61%49.60%-2.04%-4.78%09:07:26.5
39	335	Lillian Stemaly	Female Age 10 to 14	13	F	45:29.2	+22:56.5+101.76%49.56%-2.11%-4.86%09:07:26.5
40	383	Michelle Taylor	Female Age 45 to 49	46	F	46:10.6	+23:37.9+104.82%48.82%-3.66%-6.45%09:07:26.5
41	373	Jody Stadt	Female Age 65 to 69	68	F	46:36.6	+24:03.9+106.74%48.37%-4.64%-7.45%09:07:26.5
42	384	Jodi Shoebottom	Female Age 50 to 54	51	F	46:40.8	+24:08.1+107.05%48.30%-4.79%-7.61%09:07:26.5
43	400	Nicole McGahey	Female Age 50 to 54	51	F	47:22.1	+24:49.4+110.11%47.60%-6.34%-9.19%09:07:26.5
44	332	Dawn Reichow	Female Age 45 to 49	49	F	48:46.2	+26:13.5+116.32%46.23%-9.49%-12.43%09:07:26.5
45	351	Kay Danforth	Female Age 65 to 69	66	F	49:47.9	+27:15.2+120.88%45.27%-11.79%-14.80%09:07:26.5
46	398	Veyda Sperring	Female Age 9 and Under	7	F	50:34.3	+28:01.6+124.31%44.58%-13.53%-16.58%09:07:26.5
47	305	Valorie Vernon	Female Age 50 to 54	51	F	51:27.1	+28:54.4+128.22%43.82%-15.51%-18.61%09:07:26.5
48	427	Olive Wright	Female Age 9 and Under	8	F	52:53.5	+30:20.8+134.60%42.62%-18.74%-21.93%09:07:26.5
49	333	Arabella Moffitt	Female Age 9 and Under	8	F	52:56.4	+30:23.7+134.82%42.59%-18.85%-22.04%09:07:26.5
50	307	Tracy Stickle	Female Age 50 to 54	53	F	53:00.6	+30:27.9+135.13%42.53%-19.00%-22.20%09:07:26.5
51	306	Tina Dooley	Female Age 55 to 59	50	F	53:01.4	+30:28.7+135.19%42.52%-19.03%-22.23%09:07:26.5
52	417	Elliot Kinstner	Female Age 10 to 14	10	F	55:10.3	+32:37.6+144.72%40.86%-23.86%-27.18%09:07:26.5
53	420	Patricia McDonald	Female Age 65 to 69	65	F	55:33.6	+33:00.9+146.44%40.58%-24.73%-28.08%09:07:26.5
54	364	Wendy Schultz	Female Age 50 to 54	50	F	56:23.2	+33:50.5+150.11%39.98%-26.58%-29.98%09:07:26.5
55	419	Penelope Kinstner	Female Age 10 to 14	10	F	56:48.9	+34:16.2+152.01%39.68%-27.55%-30.97%09:07:26.5
56	418	Melissa Kinstner	Female Age 35 to 39	37	F	56:54.9	+34:22.2+152.45%39.61%-27.77%-31.20%09:07:26.5
57	360	Patricia Bartel	Female Age 70 and over	70	F	58:09.2	+35:36.5+157.94%38.77%-30.55%-34.06%09:07:26.5
58	314	Christina Putkela	Female Age 35 to 39	36	F	1:01:23.7	+38:51.0+172.32%36.72%-37.83%-41.53%09:07:26.5
59	310	Therese Stevens	Female Age 55 to 59	56	F	1:01:24.4	+38:51.7+172.37%36.71%-37.85%-41.56%09:07:26.5
60	313	Lily Putkela	Female Age 10 to 14	13	F	1:01:29.5	+38:56.8+172.75%36.66%-38.04%-41.75%09:07:26.5
61	339	S Sheneman	Female Age 40 to 44	40	F	1:01:59.3	+39:26.6+174.95%36.37%-39.16%-42.90%09:07:26.5
62	341	R Norton	Female Age 25 to 29	27	F	1:02:00.1	+39:27.4+175.01%36.36%-39.19%-42.93%09:07:26.5
63	323	Pamela Anderson	Female Age 45 to 49	46	F	1:04:26.9	+41:54.2+185.87%34.98%-44.68%-48.57%09:07:26.5
64	334	Laura Reichow	Female Age 45 to 49	45	F	1:05:23.0	+42:50.3+190.01%34.48%-46.78%-50.72%09:07:26.5
65	336	Kiara Learned	Female Age 10 to 14	12	F	1:05:24.4	+42:51.7+190.12%34.47%-46.83%-50.78%09:07:26.5
66	436	Kennedy Myers	Female Age 20 to 24	20	F	1:06:36.2	+44:03.5+195.42%33.85%-49.52%-53.53%09:07:26.5
67	404	Nickie Myers	Female Age 40 to 44	42	F	1:06:38.1	+44:05.4+195.56%33.83%-49.59%-53.61%09:07:26.5
68	356	Christie Robinson	Female Age 50 to 54	51	F	1:06:40.9	+44:08.2+195.77%33.81%-49.70%-53.72%09:07:26.5
69	435	Mongne Anstell	Female Age 50 to 54	53	F	1:06:42.5	+44:09.8+195.89%33.80%-49.76%-53.78%09:07:26.5
70	403	Gezelle Myers	Female Age 55 to 59	59	F	1:06:50.5	+44:17.8+196.48%33.73%-50.05%-54.08%09:07:26.5
71	357	Marsha Clapp	Female Age 70 and over	80	F	1:08:26.5	+45:53.8+203.58%32.94%-53.65%-57.77%09:07:26.5
-	330	Holly Stanton	Female Age 45 to 49	48	F	DNF	-----09:07:26.5
-	402	Jordyn Harrington	Female Age 15 to 19	16	F	DNF	-----09:07:26.5

Female - Female Age 10 to 14

Place	Bib	Name	Category	Age	Gender	Finish time
1	303	Addisyn Wood	Female Age 10 to 14	11	F	27:11.5	--100%42.35%45.97%09:07:26.5
2	394	Julie Clancy	Female Age 10 to 14	11	F	29:44.4	+2:32.9+9.37%91.43%36.94%40.91%09:07:26.5
3	372	Addie Dewitt	Female Age 10 to 14	10	F	36:00.9	+8:49.4+32.45%75.50%23.64%28.44%09:07:26.5
4	335	Lillian Stemaly	Female Age 10 to 14	13	F	45:29.2	+18:17.7+67.28%59.78%3.56%9.62%09:07:26.5
5	417	Elliot Kinstner	Female Age 10 to 14	10	F	55:10.3	+27:58.8+102.90%49.29%-16.98%-9.62%09:07:26.5
6	419	Penelope Kinstner	Female Age 10 to 14	10	F	56:48.9	+29:37.4+108.94%47.86%-20.46%-12.89%09:07:26.5
7	313	Lily Putkela	Female Age 10 to 14	13	F	1:01:29.5	+34:18.0+126.14%44.22%-30.38%-22.18%09:07:26.5
8	336	Kiara Learned	Female Age 10 to 14	12	F	1:05:24.4	+38:12.9+140.54%41.57%-38.68%-29.96%09:07:26.5

Female - Female Age 15 to 19

Place	Bib	Name	Category	Age	Gender	Finish time
1	300	Kennedi Wood	Female Age 15 to 19	16	F	22:32.7	--100%12.44%12.44%09:07:26.5
2	369	Emily Willemin	Female Age 15 to 19	16	F	28:57.1	+6:24.4+28.42%77.87%-12.44%-12.44%09:07:26.5
-	402	Jordyn Harrington	Female Age 15 to 19	16	F	DNF	-----09:07:26.5

Female - Female Age 20 to 24

Place	Bib	Name	Category	Age	Gender	Finish time
1	312	Bailey Stevens	Female Age 20 to 24	23	F	43:09.7	--100%21.36%21.36%09:07:26.5
2	436	Kennedy Myers	Female Age 20 to 24	20	F	1:06:36.2	+23:26.5+54.31%64.80%-21.36%-21.36%09:07:26.5

Female - Female Age 25 to 29

Place	Bib	Name	Category	Age	Gender	Finish time
1	389	Rachael Oldfield	Female Age 25 to 29	29	F	38:22.9	--100%17.31%1.26%09:07:26.5
2	381	Christielee Nichols	Female Age 25 to 29	27	F	38:52.2	+0:29.3+1.27%98.74%16.26%0.00%09:07:26.5
3	341	R Norton	Female Age 25 to 29	27	F	1:02:00.1	+23:37.2+61.54%61.90%-33.57%-59.51%09:07:26.5

Female - Female Age 30 to 34

Place	Bib	Name	Category	Age	Gender	Finish time
1	320	Leigh Prince	Female Age 30 to 34	31	F	30:41.5	--100%6.47%6.30%09:07:26.5
2	425	Caitlin Scott	Female Age 30 to 34	34	F	32:45.3	+2:03.8+6.72%93.70%0.18%0.00%09:07:26.5
3	325	Jenny Zaverl	Female Age 30 to 34	34	F	34:59.8	+4:18.3+14.03%87.70%-6.65%-6.84%09:07:26.5

Female - Female Age 35 to 39

Place	Bib	Name	Category	Age	Gender	Finish time
1	346	Jane Southwick	Female Age 35 to 39	39	F	35:39.4	--100%30.52%37.35%09:07:26.5
2	418	Melissa Kinstner	Female Age 35 to 39	37	F	56:54.9	+21:15.5+59.62%62.65%-10.90%0.00%09:07:26.5
3	314	Christina Putkela	Female Age 35 to 39	36	F	1:01:23.7	+25:44.3+72.18%58.08%-19.63%-7.87%09:07:26.5

Female - Female Age 40 to 44

Place	Bib	Name	Category	Age	Gender	Finish time
1	415	Leslie Smies	Female Age 40 to 44	41	F	24:48.2	--100%41.91%37.15%09:07:26.5
2	343	Lizzy Whitmyer	Female Age 40 to 44	42	F	31:21.2	+6:33.0+26.41%79.11%26.57%20.56%09:07:26.5
3	352	Lacy Moore	Female Age 40 to 44	41	F	32:25.3	+7:37.1+30.71%76.50%24.07%17.85%09:07:26.5
4	350	Elizabeth Zeman	Female Age 40 to 44	44	F	34:02.4	+9:14.2+37.24%72.87%20.28%13.75%09:07:26.5
5	370	Nicole Dewitt	Female Age 40 to 44	42	F	44:53.5	+20:05.3+80.99%55.25%-5.14%-13.75%09:07:26.5
6	366	Alison Reichow	Female Age 40 to 44	42	F	45:27.2	+20:39.0+83.25%54.57%-6.45%-15.17%09:07:26.5
7	339	S Sheneman	Female Age 40 to 44	40	F	1:01:59.3	+37:11.1+149.92%40.01%-45.18%-57.07%09:07:26.5
8	404	Nickie Myers	Female Age 40 to 44	42	F	1:06:38.1	+41:49.9+168.65%37.22%-56.06%-68.84%09:07:26.5

Female - Female Age 45 to 49

Place	Bib	Name	Category	Age	Gender	Finish time
1	421	Vikki Boersma	Female Age 45 to 49	45	F	29:40.9	--100%33.15%24.14%09:07:26.5
2	392	Joanna Colletti	Female Age 45 to 49	45	F	35:57.1	+6:16.2+21.12%82.56%19.02%8.11%09:07:26.5
3	349	Melissa Green	Female Age 45 to 49	45	F	37:15.9	+7:35.0+25.55%79.65%16.07%4.76%09:07:26.5
4	328	Debra Proefrock	Female Age 45 to 49	46	F	38:03.0	+8:22.1+28.19%78.01%14.30%2.75%09:07:26.5
5	316	Nicole Lanning	Female Age 45 to 49	48	F	38:42.0	+9:01.1+30.38%76.70%12.83%1.09%09:07:26.5
6	378	Shawn Ware	Female Age 45 to 49	48	F	39:33.2	+9:52.3+33.26%75.04%10.91%-1.09%09:07:26.5
7	383	Michelle Taylor	Female Age 45 to 49	46	F	46:10.6	+16:29.7+55.57%64.28%-4.01%-18.02%09:07:26.5
8	332	Dawn Reichow	Female Age 45 to 49	49	F	48:46.2	+19:05.3+64.31%60.86%-9.85%-24.65%09:07:26.5
9	323	Pamela Anderson	Female Age 45 to 49	46	F	1:04:26.9	+34:46.0+117.13%46.05%-45.16%-64.72%09:07:26.5
10	334	Laura Reichow	Female Age 45 to 49	45	F	1:05:23.0	+35:42.1+120.28%45.40%-47.27%-67.11%09:07:26.5
-	330	Holly Stanton	Female Age 45 to 49	48	F	DNF	-----09:07:26.5

Female - Female Age 50 to 54

Place	Bib	Name	Category	Age	Gender	Finish time
1	411	Julie Morrow	Female Age 50 to 54	52	F	23:50.8	--100%45.77%49.29%09:07:26.5
2	391	Laura Rohde	Female Age 50 to 54	53	F	25:55.6	+2:04.8+8.72%91.98%41.04%44.87%09:07:26.5
3	348	Stacey Dudick	Female Age 50 to 54	50	F	26:15.6	+2:24.8+10.12%90.81%40.28%44.16%09:07:26.5
4	329	Annie Minshall	Female Age 50 to 54	51	F	30:37.9	+6:47.1+28.45%77.85%30.34%34.86%09:07:26.5
5	432	Tina Engle	Female Age 50 to 54	52	F	32:41.9	+8:51.1+37.12%72.93%25.64%30.46%09:07:26.5
6	384	Jodi Shoebottom	Female Age 50 to 54	51	F	46:40.8	+22:50.0+95.75%51.09%-6.16%0.73%09:07:26.5
7	400	Nicole McGahey	Female Age 50 to 54	51	F	47:22.1	+23:31.3+98.64%50.34%-7.73%-0.73%09:07:26.5
8	305	Valorie Vernon	Female Age 50 to 54	51	F	51:27.1	+27:36.3+115.76%46.35%-17.01%-9.42%09:07:26.5
9	307	Tracy Stickle	Female Age 50 to 54	53	F	53:00.6	+29:09.8+122.30%44.99%-20.56%-12.73%09:07:26.5
10	364	Wendy Schultz	Female Age 50 to 54	50	F	56:23.2	+32:32.4+136.46%42.29%-28.24%-19.91%09:07:26.5
11	356	Christie Robinson	Female Age 50 to 54	51	F	1:06:40.9	+42:50.1+179.63%35.76%-51.65%-41.80%09:07:26.5
12	435	Mongne Anstell	Female Age 50 to 54	53	F	1:06:42.5	+42:51.7+179.74%35.75%-51.71%-41.86%09:07:26.5

Female - Female Age 55 to 59

Place	Bib	Name	Category	Age	Gender	Finish time
1	354	Cristine Rosenthal	Female Age 55 to 59	58	F	30:48.6	--100%38.47%41.89%09:07:26.5
2	433	Jan Detzer	Female Age 55 to 59	56	F	38:17.4	+7:28.8+24.28%80.46%23.53%27.79%09:07:26.5
3	306	Tina Dooley	Female Age 55 to 59	50	F	53:01.4	+22:12.8+72.10%58.11%-5.89%0.00%09:07:26.5
4	310	Therese Stevens	Female Age 55 to 59	56	F	1:01:24.4	+30:35.8+99.31%50.17%-22.63%-15.81%09:07:26.5
5	403	Gezelle Myers	Female Age 55 to 59	59	F	1:06:50.5	+36:01.9+116.95%46.09%-33.48%-26.06%09:07:26.5

Female - Female Age 60 to 64

Place	Bib	Name	Category	Age	Gender	Finish time
1	367	Kimberly Plummer	Female Age 60 to 64	64	F	31:56.2	--100%0.00%0.00%09:07:26.5

Female - Female Age 65 to 69

Place	Bib	Name	Category	Age	Gender	Finish time
1	362	Patti Duflo	Female Age 65 to 69	67	F	30:02.5	--100%28.99%29.42%09:07:26.5
2	321	Julie Prince	Female Age 65 to 69	65	F	33:18.2	+3:15.7+10.86%90.21%21.28%21.75%09:07:26.5
3	353	Deb Laiskonis	Female Age 65 to 69	68	F	38:30.9	+8:28.4+28.21%78.00%8.96%9.51%09:07:26.5
4	373	Jody Stadt	Female Age 65 to 69	68	F	46:36.6	+16:34.1+55.15%64.45%-10.18%-9.51%09:07:26.5
5	351	Kay Danforth	Female Age 65 to 69	66	F	49:47.9	+19:45.4+65.76%60.33%-17.71%-17.00%09:07:26.5
6	420	Patricia McDonald	Female Age 65 to 69	65	F	55:33.6	+25:31.1+84.94%54.07%-31.33%-30.54%09:07:26.5

Female - Female Age 70 and over

Place	Bib	Name	Category	Age	Gender	Finish time
1	318	Kathy Calabretta	Female Age 70 and over	74	F	27:52.8	--100%43.64%45.08%09:07:26.5
2	386	Diane Aamoth	Female Age 70 and over	71	F	43:22.8	+15:30.0+55.60%64.27%12.30%14.55%09:07:26.5
3	360	Patricia Bartel	Female Age 70 and over	70	F	58:09.2	+30:16.4+108.58%47.94%-17.57%-14.55%09:07:26.5
4	357	Marsha Clapp	Female Age 70 and over	80	F	1:08:26.5	+40:33.7+145.49%40.74%-38.37%-34.82%09:07:26.5

Female - Female Age 9 and Under

Place	Bib	Name	Category	Age	Gender	Finish time
1	426	Olive Scott	Female Age 9 and Under	5	F	28:49.7	--100%37.75%44.27%09:07:26.5
2	398	Veyda Sperring	Female Age 9 and Under	7	F	50:34.3	+21:44.6+75.42%57.00%-9.21%2.24%09:07:26.5
3	427	Olive Wright	Female Age 9 and Under	8	F	52:53.5	+24:03.8+83.47%54.50%-14.22%-2.24%09:07:26.5
4	333	Arabella Moffitt	Female Age 9 and Under	8	F	52:56.4	+24:06.7+83.64%54.45%-14.32%-2.34%09:07:26.5

Male - Overall

Place	Bib	Name	Category	Age	Gender	Finish time
1	361	Calvin Rohde	Male Age 20 to 24	20	M	16:42.1	--100%49.26%44.93%09:07:26.5
2	337	Caden Meyer	Male Age 15 to 19	18	M	16:43.4	+0:01.3+0.13%99.87%49.19%44.86%09:07:26.5
3	304	Carson Wood	Male Age 15 to 19	15	M	19:39.7	+2:57.6+17.72%84.95%40.26%35.17%09:07:26.5
4	359	Lance Morris	Male Age 30 to 34	32	M	20:47.7	+4:05.6+24.51%80.32%36.82%31.44%09:07:26.5
5	309	Logan Dudley	Male Age 15 to 19	15	M	20:49.3	+4:07.2+24.67%80.21%36.74%31.35%09:07:26.5
6	405	Garrison Klinge	Male Age 15 to 19	16	M	20:59.9	+4:17.8+25.73%79.54%36.20%30.77%09:07:26.5
7	407	Aaron Gancarz	Male Age 55 to 59	58	M	21:25.6	+4:43.5+28.29%77.95%34.90%29.35%09:07:26.5
8	414	Louis Canfield	Male Age 40 to 44	43	M	21:53.0	+5:10.9+31.02%76.32%33.51%27.85%09:07:26.5
9	422	Christopher Morales	Male Age 30 to 34	34	M	22:05.7	+5:23.6+32.29%75.59%32.87%27.15%09:07:26.5
10	358	Michael Werth	Male Age 25 to 29	25	M	22:15.2	+5:33.1+33.24%75.05%32.39%26.63%09:07:26.5
11	347	Mitchell Plosz	Male Age 35 to 39	37	M	22:49.1	+6:07.0+36.62%73.19%30.67%24.77%09:07:26.5
12	423	Trammel Robinson	Male Age 15 to 19	17	M	23:23.7	+6:41.6+40.08%71.39%28.92%22.87%09:07:26.5
13	319	Matthew Prince	Male Age 30 to 34	32	M	23:30.8	+6:48.7+40.78%71.03%28.56%22.47%09:07:26.5
14	302	Evan Wood	Male Age 10 to 14	13	M	23:41.4	+6:59.3+41.84%70.50%28.03%21.89%09:07:26.5
15	412	Atlas Ruddick	Male Age 9 and Under	1	M	23:50.3	+7:08.2+42.73%70.06%27.58%21.40%09:07:26.5
16	308	Joe Clark	Male Age 50 to 54	54	M	24:04.9	+7:22.8+44.19%69.35%26.84%20.60%09:07:26.5
17	385	HB Nichols	Male Age 15 to 19	19	M	24:23.0	+7:40.9+45.99%68.50%25.92%19.61%09:07:26.5
18	382	Maxwell Nichols	Male Age 15 to 19	16	M	24:23.5	+7:41.4+46.04%68.47%25.89%19.58%09:07:26.5
19	393	Carl Colletti	Male Age 10 to 14	10	M	25:17.7	+8:35.6+51.45%66.03%23.15%16.60%09:07:26.5
20	322	Thomas Prince	Male Age 55 to 59	59	M	25:41.2	+8:59.1+53.80%65.02%21.96%15.31%09:07:26.5
21	397	Rick McGahey	Male Age 50 to 54	53	M	25:50.2	+9:08.1+54.70%64.64%21.50%14.81%09:07:26.5
22	408	Adam Voss	Male Age 25 to 29	27	M	26:34.4	+9:52.3+59.11%62.85%19.27%12.39%09:07:26.5
23	409	Luke Andrus	Male Age 40 to 44	42	M	27:19.3	+10:37.2+63.59%61.13%16.99%9.92%09:07:26.5
24	396	David Pontius	Male Age 65 to 69	69	M	27:43.2	+11:01.1+65.97%60.25%15.78%8.61%09:07:26.5
25	331	John Haga	Male Age 50 to 54	52	M	28:11.1	+11:29.0+68.76%59.26%14.37%7.07%09:07:26.5
26	424	Doug Scott	Male Age 35 to 39	35	M	28:47.7	+12:05.6+72.41%58.00%12.52%5.06%09:07:26.5
27	376	Wesson Ferski	Male Age 9 and Under	7	M	29:13.8	+12:31.7+75.01%57.14%11.19%3.63%09:07:26.5
28	406	Troy Klinge	Male Age 50 to 54	50	M	29:22.2	+12:40.1+75.85%56.87%10.77%3.17%09:07:26.5
29	342	L Norton	Female Age 25 to 29	28	M	30:19.8	+13:37.7+81.60%55.07%7.85%0.00%09:07:26.5
30	380	Hunter Nichols	Male Age 25 to 29	27	M	30:32.6	+13:50.5+82.88%54.68%7.20%-0.70%09:07:26.5
31	429	Joseph Marek	Male Age 25 to 29	26	M	30:37.0	+13:54.9+83.32%54.55%6.98%-0.95%09:07:26.5
32	368	John Willemin	Male Age 50 to 54	52	M	31:48.8	+15:06.7+90.48%52.50%3.35%-4.89%09:07:26.5
33	374	Rich Derby	Male Age 60 to 64	62	M	31:52.1	+15:10.0+90.81%52.41%3.18%-5.07%09:07:26.5
34	416	Ben Smies	Male Age 40 to 44	41	M	32:09.2	+15:27.1+92.52%51.94%2.31%-6.01%09:07:26.5
35	377	Scott Ferski	Male Age 50 to 54	54	M	32:18.9	+15:36.8+93.48%51.68%1.82%-6.54%09:07:26.5
36	311	Ted Stevens	Male Age 50 to 54	51	M	32:23.6	+15:41.5+93.95%51.56%1.58%-6.80%09:07:26.5
37	375	Colton Ferski	Male Age 10 to 14	14	M	32:49.0	+16:06.9+96.49%50.89%0.30%-8.20%09:07:26.5
38	355	Roger Rosenthal	Male Age 55 to 59	59	M	33:03.1	+16:21.0+97.89%50.53%-0.42%-8.97%09:07:26.5
39	301	Daniel Myszak	Male Age 60 to 64	64	M	33:04.4	+16:22.3+98.02%50.50%-0.48%-9.04%09:07:26.5
40	371	Jeremiah Dewitt	Male Age 40 to 44	41	M	36:28.7	+19:46.6+118.41%45.79%-10.83%-20.27%09:07:26.5
41	390	Oliver Meadows	Male Age 9 and Under	4	M	38:25.1	+21:43.0+130.03%43.47%-16.72%-26.67%09:07:26.5
42	395	Rockwell Clancy	Male Age 65 to 69	66	M	38:47.1	+22:05.0+132.22%43.06%-17.84%-27.88%09:07:26.5
43	431	Justice Gilchrist	Male Age 25 to 29	25	M	39:17.7	+22:35.6+135.28%42.50%-19.38%-29.56%09:07:26.5
44	324	Dan Lori	Male Age 70 and over	75	M	40:36.0	+23:53.9+143.09%41.14%-23.35%-33.86%09:07:26.5
45	430	Elijah Shivery	Male Age 25 to 29	27	M	41:26.1	+24:44.0+148.09%40.31%-25.89%-36.61%09:07:26.5
46	428	Steven Dykman	Male Age 25 to 29	26	M	41:39.4	+24:57.3+149.42%40.09%-26.56%-37.34%09:07:26.5
47	434	Ryan Vanderwall	Male Age 25 to 29	26	M	42:48.2	+26:06.1+156.28%39.02%-30.04%-41.13%09:07:26.5
48	410	Steve Morrow	Male Age 50 to 54	52	M	43:48.2	+27:06.1+162.27%38.13%-33.08%-44.42%09:07:26.5
49	315	Eric Putkela	Male Age 35 to 39	37	M	46:51.0	+30:08.9+180.51%35.65%-42.34%-54.47%09:07:26.5
50	399	Rob Sperring	Male Age 45 to 49	47	M	50:52.6	+34:10.5+204.62%32.83%-54.57%-67.74%09:07:26.5
51	363	Doug Duflo	Male Age 65 to 69	69	M	52:47.6	+36:05.5+216.10%31.64%-60.40%-74.06%09:07:26.5
52	387	Michael Matson	Male Age 45 to 49	46	M	55:00.6	+38:18.5+229.37%30.36%-67.13%-81.37%09:07:26.5
53	388	Jacob Matson	Male Age 15 to 19	15	M	55:01.3	+38:19.2+229.44%30.35%-67.17%-81.41%09:07:26.5
54	327	Thomas Proefrock	Male Age 10 to 14	12	M	56:13.4	+39:31.3+236.63%29.71%-70.82%-85.37%09:07:26.5
55	365	Jeffrey Lameris	Male Age 55 to 59	57	M	56:24.8	+39:42.7+237.77%29.61%-71.39%-86.00%09:07:26.5
56	344	Don Beyer	Male Age 55 to 59	58	M	59:11.0	+42:28.9+254.36%28.22%-79.81%-95.13%09:07:26.5
57	340	M Sheneman	Male Age 55 to 59	57	M	1:02:01.4	+45:19.3+271.36%26.93%-88.44%-104.49%09:07:26.5
-	338	Luke Lori	Male Age 40 to 44	43	M	DNF	-----09:07:26.5
-	345	Christopher Southwick	Male Age 40 to 44	42	M	DNF	-----09:07:26.5
-	401	Ezra Sperring	Male Age 10 to 14	14	M	DNF	-----09:07:26.5
-	413	Matthew Ruddick	Male Age 40 to 44	40	M	DNF	-----09:07:26.5

Male - Female Age 25 to 29

Place	Bib	Name	Category	Age	Gender	Finish time
1	342	L Norton	Female Age 25 to 29	28	M	30:19.8	--100%0.00%0.00%09:07:26.5

Male - Male Age 10 to 14

Place	Bib	Name	Category	Age	Gender	Finish time
1	302	Evan Wood	Male Age 10 to 14	13	M	23:41.4	--100%31.35%18.47%09:07:26.5
2	393	Carl Colletti	Male Age 10 to 14	10	M	25:17.7	+1:36.3+6.78%93.65%26.69%12.94%09:07:26.5
3	375	Colton Ferski	Male Age 10 to 14	14	M	32:49.0	+9:07.6+38.53%72.19%4.90%-12.94%09:07:26.5
4	327	Thomas Proefrock	Male Age 10 to 14	12	M	56:13.4	+32:32.0+137.33%42.14%-62.94%-93.50%09:07:26.5
-	401	Ezra Sperring	Male Age 10 to 14	14	M	DNF	-----09:07:26.5

Male - Male Age 15 to 19

Place	Bib	Name	Category	Age	Gender	Finish time
1	337	Caden Meyer	Male Age 15 to 19	18	M	16:43.4	--100%34.86%24.66%09:07:26.5
2	304	Carson Wood	Male Age 15 to 19	15	M	19:39.7	+2:56.3+17.57%85.06%23.42%11.42%09:07:26.5
3	309	Logan Dudley	Male Age 15 to 19	15	M	20:49.3	+4:05.9+24.51%80.32%18.90%6.19%09:07:26.5
4	405	Garrison Klinge	Male Age 15 to 19	16	M	20:59.9	+4:16.5+25.56%79.64%18.21%5.40%09:07:26.5
5	423	Trammel Robinson	Male Age 15 to 19	17	M	23:23.7	+6:40.3+39.89%71.48%8.88%-5.40%09:07:26.5
6	385	HB Nichols	Male Age 15 to 19	19	M	24:23.0	+7:39.6+45.80%68.59%5.03%-9.85%09:07:26.5
7	382	Maxwell Nichols	Male Age 15 to 19	16	M	24:23.5	+7:40.1+45.85%68.56%5.00%-9.89%09:07:26.5
8	388	Jacob Matson	Male Age 15 to 19	15	M	55:01.3	+38:17.9+229.01%30.39%-114.30%-147.88%09:07:26.5

Male - Male Age 20 to 24

Place	Bib	Name	Category	Age	Gender	Finish time
1	361	Calvin Rohde	Male Age 20 to 24	20	M	16:42.1	--100%0.00%0.00%09:07:26.5

Male - Male Age 25 to 29

Place	Bib	Name	Category	Age	Gender	Finish time
1	358	Michael Werth	Male Age 25 to 29	25	M	22:15.2	--100%35.30%36.34%09:07:26.5
2	408	Adam Voss	Male Age 25 to 29	27	M	26:34.4	+4:19.2+19.41%83.74%22.75%23.98%09:07:26.5
3	380	Hunter Nichols	Male Age 25 to 29	27	M	30:32.6	+8:17.4+37.25%72.86%11.20%12.62%09:07:26.5
4	429	Joseph Marek	Male Age 25 to 29	26	M	30:37.0	+8:21.8+37.58%72.68%10.99%12.41%09:07:26.5
5	431	Justice Gilchrist	Male Age 25 to 29	25	M	39:17.7	+17:02.5+76.58%56.63%-14.24%-12.41%09:07:26.5
6	430	Elijah Shivery	Male Age 25 to 29	27	M	41:26.1	+19:10.9+86.20%53.71%-20.46%-18.54%09:07:26.5
7	428	Steven Dykman	Male Age 25 to 29	26	M	41:39.4	+19:24.2+87.19%53.42%-21.11%-19.17%09:07:26.5
8	434	Ryan Vanderwall	Male Age 25 to 29	26	M	42:48.2	+20:33.0+92.35%51.99%-24.44%-22.45%09:07:26.5

Male - Male Age 30 to 34

Place	Bib	Name	Category	Age	Gender	Finish time
1	359	Lance Morris	Male Age 30 to 34	32	M	20:47.7	--100%6.05%5.88%09:07:26.5
2	422	Christopher Morales	Male Age 30 to 34	34	M	22:05.7	+1:18.0+6.25%94.12%0.18%0.00%09:07:26.5
3	319	Matthew Prince	Male Age 30 to 34	32	M	23:30.8	+2:43.1+13.07%88.44%-6.23%-6.42%09:07:26.5

Male - Male Age 35 to 39

Place	Bib	Name	Category	Age	Gender	Finish time
1	347	Mitchell Plosz	Male Age 35 to 39	37	M	22:49.1	--100%30.48%20.76%09:07:26.5
2	424	Doug Scott	Male Age 35 to 39	35	M	28:47.7	+5:58.6+26.19%79.24%12.27%0.00%09:07:26.5
3	315	Eric Putkela	Male Age 35 to 39	37	M	46:51.0	+24:01.9+105.32%48.71%-42.74%-62.70%09:07:26.5

Male - Male Age 40 to 44

Place	Bib	Name	Category	Age	Gender	Finish time
1	414	Louis Canfield	Male Age 40 to 44	43	M	21:53.0	--100%25.72%26.41%09:07:26.5
2	409	Luke Andrus	Male Age 40 to 44	42	M	27:19.3	+5:26.3+24.85%80.10%7.26%8.12%09:07:26.5
3	416	Ben Smies	Male Age 40 to 44	41	M	32:09.2	+10:16.2+46.93%68.06%-9.15%-8.12%09:07:26.5
4	371	Jeremiah Dewitt	Male Age 40 to 44	41	M	36:28.7	+14:35.7+66.69%59.99%-23.83%-22.67%09:07:26.5
-	338	Luke Lori	Male Age 40 to 44	43	M	DNF	-----09:07:26.5
-	345	Christopher Southwick	Male Age 40 to 44	42	M	DNF	-----09:07:26.5
-	413	Matthew Ruddick	Male Age 40 to 44	40	M	DNF	-----09:07:26.5

Male - Male Age 45 to 49

Place	Bib	Name	Category	Age	Gender	Finish time
1	399	Rob Sperring	Male Age 45 to 49	47	M	50:52.6	--100%3.90%3.90%09:07:26.5
2	387	Michael Matson	Male Age 45 to 49	46	M	55:00.6	+4:08.0+8.12%92.49%-3.90%-3.90%09:07:26.5

Male - Male Age 50 to 54

Place	Bib	Name	Category	Age	Gender	Finish time
1	308	Joe Clark	Male Age 50 to 54	54	M	24:04.9	--100%22.25%21.28%09:07:26.5
2	397	Rick McGahey	Male Age 50 to 54	53	M	25:50.2	+1:45.3+7.29%93.21%16.59%15.54%09:07:26.5
3	331	John Haga	Male Age 50 to 54	52	M	28:11.1	+4:06.2+17.04%85.44%9.01%7.87%09:07:26.5
4	406	Troy Klinge	Male Age 50 to 54	50	M	29:22.2	+5:17.3+21.96%81.99%5.18%3.99%09:07:26.5
5	368	John Willemin	Male Age 50 to 54	52	M	31:48.8	+7:43.9+32.11%75.70%-2.71%-3.99%09:07:26.5
6	377	Scott Ferski	Male Age 50 to 54	54	M	32:18.9	+8:14.0+34.19%74.52%-4.33%-5.63%09:07:26.5
7	311	Ted Stevens	Male Age 50 to 54	51	M	32:23.6	+8:18.7+34.51%74.34%-4.58%-5.89%09:07:26.5
8	410	Steve Morrow	Male Age 50 to 54	52	M	43:48.2	+19:43.3+81.89%54.98%-41.42%-43.19%09:07:26.5

Male - Male Age 55 to 59

Place	Bib	Name	Category	Age	Gender	Finish time
1	407	Aaron Gancarz	Male Age 55 to 59	58	M	21:25.6	--100%50.13%52.10%09:07:26.5
2	322	Thomas Prince	Male Age 55 to 59	59	M	25:41.2	+4:15.6+19.88%83.42%40.21%42.58%09:07:26.5
3	355	Roger Rosenthal	Male Age 55 to 59	59	M	33:03.1	+11:37.5+54.25%64.83%23.07%26.11%09:07:26.5
4	365	Jeffrey Lameris	Male Age 55 to 59	57	M	56:24.8	+34:59.2+163.29%37.98%-31.30%-26.11%09:07:26.5
5	344	Don Beyer	Male Age 55 to 59	58	M	59:11.0	+37:45.4+176.21%36.20%-37.75%-32.30%09:07:26.5
6	340	M Sheneman	Male Age 55 to 59	57	M	1:02:01.4	+40:35.8+189.47%34.55%-44.36%-38.65%09:07:26.5

Male - Male Age 60 to 64

Place	Bib	Name	Category	Age	Gender	Finish time
1	374	Rich Derby	Male Age 60 to 64	62	M	31:52.1	--100%1.86%1.86%09:07:26.5
2	301	Daniel Myszak	Male Age 60 to 64	64	M	33:04.4	+1:12.3+3.78%96.36%-1.86%-1.86%09:07:26.5

Male - Male Age 65 to 69

Place	Bib	Name	Category	Age	Gender	Finish time
1	396	David Pontius	Male Age 65 to 69	69	M	27:43.2	--100%30.29%28.53%09:07:26.5
2	395	Rockwell Clancy	Male Age 65 to 69	66	M	38:47.1	+11:03.9+39.92%71.47%2.47%0.00%09:07:26.5
3	363	Doug Duflo	Male Age 65 to 69	69	M	52:47.6	+25:04.4+90.45%52.51%-32.76%-36.12%09:07:26.5

Male - Male Age 70 and over

Place	Bib	Name	Category	Age	Gender	Finish time
1	324	Dan Lori	Male Age 70 and over	75	M	40:36.0	--100%0.00%0.00%09:07:26.5

Male - Male Age 9 and Under

Place	Bib	Name	Category	Age	Gender	Finish time
1	412	Atlas Ruddick	Male Age 9 and Under	1	M	23:50.3	--100%21.83%18.45%09:07:26.5
2	376	Wesson Ferski	Male Age 9 and Under	7	M	29:13.8	+5:23.5+22.62%81.55%4.15%0.00%09:07:26.5
3	390	Oliver Meadows	Male Age 9 and Under	4	M	38:25.1	+14:34.8+61.16%62.05%-25.98%-31.43%09:07:26.5