Race Discovery

Baltimore 10 Miler — Results

Baltimore, Maryland, United States

1st Place

Jeremy Ardanuy

Baltimore 10 Miler

53:15

2nd Place

Dave Berdan

Baltimore 10 Miler

53:58

3rd Place

Andrew Madison

Baltimore 10 Miler

55:17

# Bib Name Gender Gender Rank Age Group AG Rank 5 Mile Finish Finish Time Pace
1151 5267 Jay Venit Male — M 20-24 34 46:07 1:34:37 1:34:37 9:28 /mi
1152 2075 Bradley Brenk Male — M 50-54 65 44:50 1:34:38 1:34:38 9:28 /mi
1153 5918 Danielle Schollaert Female — F 45-49 49 44:27 1:34:40 1:34:40 9:28 /mi
1154 4992 Sherene Sepehri Female — F 40-44 57 44:44 1:34:40 1:34:40 9:28 /mi
1155 4417 Martin McEnrue Male — M 25-29 74 47:49 1:34:41 1:34:41 9:28 /mi
1156 2408 craig lesane Male — M 50-54 66 44:55 1:34:43 1:34:43 9:28 /mi
1157 3478 Stuart Curtin Male — M 40-44 105 43:10 1:34:44 1:34:44 9:28 /mi
1158 6099 Chad Moone Male — M 35-39 133 47:45 1:34:45 1:34:45 9:28 /mi
1159 3821 Megan Gotowski Female — F 25-29 86 47:43 1:34:46 1:34:46 9:29 /mi
1160 4315 Emileigh Lucas Female — F 25-29 87 46:02 1:34:48 1:34:48 9:29 /mi
1161 6060 Brooks Amiot Male — M 50-54 67 48:14 1:34:50 1:34:50 9:29 /mi
1162 4557 Jacob Munsey Male — M 25-29 75 43:09 1:34:51 1:34:51 9:29 /mi
1163 5766 Mark Purdy Male — M 60-64 17 45:33 1:34:52 1:34:52 9:29 /mi
1164 4128 Sean Keffer Male — M 40-44 106 47:15 1:34:53 1:34:53 9:29 /mi
1165 4127 Matthew Keffer Male — M 45-49 93 47:16 1:34:54 1:34:54 9:29 /mi
1166 4255 Jae Lee Male — M 35-39 134 45:34 1:34:55 1:34:55 9:29 /mi
1167 3674 Kurt Ferrara Male — M 30-34 133 48:02 1:34:55 1:34:55 9:30 /mi
1168 2762 Samuel Whitney Male — M 30-34 134 48:03 1:34:56 1:34:56 9:30 /mi
1169 5896 Yinka Windapo Male — M 50-54 68 47:45 1:34:56 1:34:56 9:30 /mi
1170 6146 Gary Applebaum Male — M 60-64 18 45:17 1:34:56 1:34:56 9:30 /mi
1171 2761 Katie Whipp Female — F 40-44 58 44:28 1:34:57 1:34:57 9:30 /mi
1172 3945 JEFF HENOCH Male — M 35-39 135 47:21 1:34:57 1:34:57 9:30 /mi
1173 6089 Prashant Desai Male — M 55-59 45 45:44 1:34:57 1:34:57 9:30 /mi
1174 2029 Stacey Basta Female — F 40-44 59 45:42 1:34:58 1:34:58 9:30 /mi
1175 2293 Stephen Harris Male — M 45-49 94 46:27 1:34:59 1:34:59 9:30 /mi
1176 6059 A King Female — F 30-34 70 45:50 1:34:59 1:34:59 9:30 /mi
1177 3810 Elizabeth Goldman Female — F 30-34 71 44:19 1:35:00 1:35:00 9:30 /mi
1178 4609 Mark Norris Male — M 40-44 107 44:35 1:35:00 1:35:00 9:30 /mi
1179 5525 John Angel Male — M 55-59 46 45:20 1:35:00 1:35:00 9:30 /mi
1180 4017 Wendy Hundertmark Female — F 50-54 24 45:13 1:35:01 1:35:01 9:30 /mi
1181 2418 Natalie Livingston Female — F 40-44 60 46:05 1:35:02 1:35:02 9:30 /mi
1182 5466 Eileen Zohorsky Female — F 20-24 44 48:31 1:35:02 1:35:02 9:30 /mi
1183 2564 Lynne Powers Female — F 40-44 61 45:59 1:35:04 1:35:04 9:30 /mi
1184 3398 Rachel Clark Female — F 25-29 88 45:20 1:35:04 1:35:04 9:30 /mi
1185 4586 Adrien Ndikumwami Male — M 50-54 69 45:02 1:35:05 1:35:05 9:31 /mi
1186 4998 Katie Shaffer Female — F 30-34 72 46:04 1:35:06 1:35:06 9:31 /mi
1187 2528 Robert Nolan Male — M 40-44 108 44:57 1:35:06 1:35:06 9:31 /mi
1188 4997 Alexis Shaffer Female — F 25-29 89 46:04 1:35:06 1:35:06 9:31 /mi
1189 2702 Jamarrah Taylor Male — M 40-44 109 45:29 1:35:08 1:35:08 9:31 /mi
1190 3547 Zina Diehl Female — F 45-49 50 46:24 1:35:08 1:35:08 9:31 /mi
1191 2628 Laura Sbarra Female — F 25-29 90 44:33 1:35:09 1:35:09 9:31 /mi
1192 1148 Shannon Kelley Female — F 25-29 91 45:23 1:35:12 1:35:12 9:31 /mi
1193 2786 So Yun Female — F 40-44 62 43:48 1:35:16 1:35:16 9:32 /mi
1194 1082 Bomono Emessiene Male — M 40-44 110 44:15 1:35:16 1:35:16 9:32 /mi
1195 4230 Carolyn Langille Female — F 45-49 51 46:42 1:35:17 1:35:17 9:32 /mi
1196 5370 Jennifer Williams Female — F 40-44 63 43:31 1:35:18 1:35:18 9:32 /mi
1197 1111 Joseph Hansen Male — M 25-29 76 43:55 1:35:20 1:35:20 9:32 /mi
1198 6053 D’Wan Sanders Male — M 20-24 35 44:15 1:35:20 1:35:20 9:32 /mi
1199 5065 Terry Smith Male — M 70-99 7 45:43 1:35:21 1:35:21 9:32 /mi
1200 2272 jim grover Male — M 65-69 7 44:16 1:35:21 1:35:21 9:32 /mi

Showing 1151–1200 of 3770 results