Be Thankful 5k

Saturday, November 25, 2017 9:07 AM (GMT-5) - Preliminary results

Race info
Sport: Running
Location: Nellysford, VA, United States
Start type: Mass start
Racers: 231
Timed on: samsung SM-T330NU
Timed with: Webscorer PRO 2.8
Updated: Monday, November 27, 2017 12:25 PM (GMT-5)

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Be Thankful 5k

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Racers per page:
Place Bib Racer name Category Finish time
1198Ben HoyerMale (ages 13-29) 20:07.1--100%49.09%41.94%
2209Lee EschenroederMale (ages 13-29) 21:08.0+1:00.9+5.05%95.20%46.52%39.01%
3207Alex EschenroederMale (ages 13-29) 21:08.6+1:01.5+5.09%95.15%46.50%38.98%
4197Doug HoyerMale (ages 13-29) 21:16.8+1:09.7+5.77%94.54%46.15%38.59%
5127Justin CaspMale (ages 30-49) 21:39.6+1:32.5+7.66%92.88%45.19%37.49%
6202Zebulon DuffyMale (ages 13-29) 21:48.4+1:41.3+8.39%92.26%44.82%37.07%
7119Tyler WiddifieldMale (ages 13-29) 22:02.0+1:54.9+9.52%91.31%44.25%36.41%
8128Scott CodeMale (ages 30-49) 22:21.3+2:14.2+11.12%89.99%43.43%35.48%
9133William FlyntMale (ages 30-49) 22:55.9+2:48.8+13.98%87.73%41.97%33.82%
10248Andy HendersonMale (ages 30-49) 23:11.5+3:04.4+15.28%86.75%41.32%33.07%
1120Rebecca EschenroederFemale (ages 30-49) 23:20.7+3:13.6+16.04%86.18%40.93%32.63%
12100Max AdamsMale (ages 13-29) 23:26.3+3:19.2+16.50%85.84%40.69%32.36%
13217Adam DooleyMale (ages 30-49) 23:29.2+3:22.1+16.74%85.66%40.57%32.22%
1499Meghan WiltFemale( ages 13-29) 23:30.7+3:23.6+16.87%85.57%40.51%32.15%
1584Mikaela GeorgiouFemale( ages 13-29) 23:43.5+3:36.4+17.93%84.80%39.97%31.53%
16161Dave MerrillMale (ages 50-64) 23:44.5+3:37.4+18.01%84.74%39.92%31.48%
1725Knox FlyntFemale (ages 30-49) 23:46.9+3:39.8+18.21%84.60%39.82%31.37%
18103Cole FaggertMale (ages 13-29) 23:49.6+3:42.5+18.43%84.44%39.71%31.24%
19104Tyler FortenberryMale (ages 13-29) 23:57.4+3:50.3+19.08%83.98%39.38%30.86%
20116Ethan ThornMale (ages 13-29) 24:03.7+3:56.6+19.60%83.61%39.12%30.56%
21176Griffin KramerMale (Ages 6-12) 24:05.9+3:58.8+19.78%83.48%39.02%30.45%
22151Ryan WagenerMale (ages 30-49) 24:06.8+3:59.7+19.86%83.43%38.98%30.41%
2334Maureen KramerFemale (ages 30-49) 24:10.1+4:03.0+20.13%83.24%38.85%30.25%
24206Laura SmithFemale( ages 13-29) 24:25.1+4:18.0+21.37%82.39%38.21%29.53%
25200Grace PettyFemale (ages 50-64) 24:38.7+4:31.6+22.50%81.63%37.64%28.87%
26106Matthew JahnMale (ages 13-29) 24:41.1+4:34.0+22.70%81.50%37.54%28.76%
27142James MeyerMale (ages 30-49) 24:50.5+4:43.4+23.48%80.99%37.14%28.31%
28249Jeffery HendersonMale (ages 30-49) 25:05.6+4:58.5+24.73%80.17%36.50%27.58%
29113Dwight ScheidMale (ages 13-29) 25:07.1+5:00.0+24.85%80.09%36.44%27.51%
30181Ethan PreisserMale (Ages 6-12) 25:15.5+5:08.4+25.55%79.65%36.09%27.10%
31228Daniel WhiteMale (ages 50-64) 25:17.3+5:10.2+25.70%79.56%36.01%27.02%
3214Elizabeth ClamanFemale (ages 30-49) 25:18.4+5:11.3+25.79%79.50%35.96%26.96%
33224Josh MeeksMale (ages 13-29) 25:19.7+5:12.6+25.90%79.43%35.91%26.90%
3422Stacey EvansFemale (ages 30-49) 25:20.1+5:13.0+25.93%79.41%35.89%26.88%
3580Catherine ClamanFemale( ages 13-29) 25:43.5+5:36.4+27.87%78.21%34.91%25.76%
36101Maxwell BurnsMale (ages 13-29) 26:10.9+6:03.8+30.14%76.84%33.75%24.44%
3782Erin ClarkFemale( ages 13-29) 26:14.5+6:07.4+30.44%76.67%33.60%24.27%
38155Dan BloorMale (ages 50-64) 26:32.1+6:25.0+31.89%75.82%32.86%23.42%
39178Ethan PattersonMale (Ages 6-12) 26:37.1+6:30.0+32.31%75.58%32.65%23.18%
40199Steve HoyerMale (ages 50-64) 26:48.2+6:41.1+33.23%75.06%32.18%22.65%
41208Polina ChesnakovaFemale( ages 13-29) 26:52.0+6:44.9+33.54%74.88%32.02%22.46%
42147Jason PreisserMale (ages 30-49) 26:53.3+6:46.2+33.65%74.82%31.96%22.40%
43118Owen WagonerMale (ages 13-29) 27:02.4+6:55.3+34.40%74.40%31.58%21.96%
4498Katie WagonerFemale( ages 13-29) 27:03.2+6:56.1+34.47%74.37%31.55%21.92%
45229Robin Letter-WhiteFemale (ages 30-49) 27:05.2+6:58.1+34.64%74.27%31.46%21.83%
46129Michael FaginMale (ages 30-49) 27:05.8+6:58.7+34.69%74.25%31.44%21.80%
4723Sherry FaginFemale (ages 30-49) 27:08.2+7:01.1+34.89%74.14%31.33%21.68%
48233Michelle CallanFemale (ages 50-64) 27:08.7+7:01.6+34.93%74.11%31.31%21.66%
49172Luke BeachMale (Ages 6-12) 27:09.4+7:02.3+34.98%74.08%31.28%21.63%
50250Xavier ZsarmaniMale (ages 30-49) 27:11.0+7:03.9+35.12%74.01%31.22%21.55%
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