Aminneso Ta Runner

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Aminneso Ta Runner A MINNESOTA Ben Sathre M Open R U N N E R ’ S YEARBOOK 2016 Jillian Tholen Ben Sathre Angie Williams Kenny Miller W Open M Open W 35-39 M 35-39 Melissa Gacek Andrew Taylor Sonya Decker Darla O’Connor Gregg Robertson Daniel Strike W 40-44 M 40-44 W 45-49 W 45-49 M 45-49 W 45-49 Wanda Gau Patrick Billig Gwen Jacobson Rob Class Julie Virkus Bobby Paxton W 50-54 M 50-54 W 55-59 M 55-59 W 60-64 M 60-64 Gloria Jansen Rick Hlebain Rosemary Harnly Harry Cottrell Sandra Dalquist Rick Kleyman W 65-69 M 65-69 W 70-74 M 70-74 W 75-79 M 75-79 Lois DeGonda Alan Phillips Bill Fraser Florence Rawn Burt Carlson Allen Johnson W 80-84 M 80-84 M 85-89 W 90-94 M 90-94 M 90-94 How to Get Your Name in This Book Open Divisions The USATF Road Running Information Center (RRIC) is inter- The fastest 20 performances by Minnesota residents who met ested only in races that can certify that each fi nisher ran at least the the standard in the following: advertised distance in a time at least as fast as that reported. Thus 8K, 10K, 15K, 20K, 25K, 30K, 20 Mile your performance must have been on a certifi ed course in a race for Top 30: 1 Mile, 5K, 10 Mile, Half Marathon, Marathon which proper timing procedures were used. 35-and-up 5-year Divisions Here are the age groups for which records are kept: The top 10 performances by Minnesota residents in: -- Open (under 35) 8K, 15K, 20K, 25K, 30K, 20 Mile -- Single year age groups up to 19 Top 15: 10K -- 5-year age groups from 35 on up. Top 20: 1 Mile, 5K, 10 Mile, Half Marathon, Marathon In each of these groups there is a cutoff time for men and women (or boys and girls) for performances that would be judged “no- table” and recorded. These standards are based on those that the RRIC uses and are, of course, more generous than the national standards. The standards that were used in 2016 are shown below. The last substantial revisions were made in 2001. 2016 Standards for Minnesota Rankings Women Division 1M 5K 8K 10K 12K 15K 10M 20K 1/2 25K 30K 20M Mar Open 5:45 18:30 30:30 38:30 49:30 1:03:30 1:07:00 1:27:15 1:28:15 1:49:15 2:17:00 2:28:00 3:10:00 35-39 6:10 20:00 32:45 41:30 53:15 1:08:15 1:12:15 1:34:00 1:35:00 1:57:45 2:27:30 2:39:00 3:25:00 40-44 6:30 21:00 34:30 43:45 56:15 1:12:00 1:16:00 1:39:15 1:40:15 2:04:00 2:35:30 2:48:00 3:36:00 45-49 7:05 23:00 37:45 47:45 1:01:30 1:18:45 1:23:00 1:48:15 1:49:15 2:15:30 2:49:30 3:04:00 3:56:00 50-54 7:45 25:00 41:00 52:00 1:06:45 1:25:45 1:30:30 1:57:45 1:59:00 2:27:30 3:05:00 3:20:00 4:17:00 55-59 8:50 28:30 46:45 59:00 1:15:45 1:37:15 1:42:30 2:13:30 2:15:00 2:47:00 3:29:30 3:47:00 4:52:00 60-64 10:10 33:00 54:15 1:08:30 1:28:00 1:52:45 1:59:00 2:35:30 2:37:00 3:14:00 4:08:30 4:23:00 5:39:00 65-69 14:40 47:15 1:17:30 1:38:00 2:00:00 2:30:00 2:41:00 3:20:00 3:31:00 4:10:00 5:00:00 5:22:00 7:02:00 70-84 15:00 50:00 1:20:00 1:40:00 2:00:00 2:30:00 2:40:30 3:20:00 3:31:00 4:10:00 5:00:00 5:22:00 7:02:00 85+ 17:00 55:00 1:25:00 1:45:00 2:05:00 2:40:00 2:50:00 3:30:00 3:40:00 4:20:00 5:15:00 5:35:00 7:17:00 Men Division 1M 5K 8K 10K 12K 15K 10M 20K 1/2 25K 30K 20M Mar Open 4:50 15:45 26:00 32:45 42:00 54:00 57:00 1:14:15 1:15:00 1:32:45 1:56:30 2:06:00 2:42:00 35-39 5:05 16:30 26:55 34:00 43:40 56:00 59:00 1:17:00 1:17:45 1:36:15 2:00:30 2:11:00 2:48:00 40-44 5:15 17:00 28:00 35:30 45:45 58:30 1:01:45 1:20:30 1:21:15 1:40:45 2:06:00 2:16:00 2:55:00 45-49 5:35 18:00 29:45 37:30 48:15 1:01:45 1:05:15 1:25:00 1:26:00 1:46:15 2:13:30 2:24:00 3:05:00 50-54 5:55 19:15 31:45 40:00 51:30 1:06:00 1:09:30 1:30:45 1:31:30 1:53:30 2:22:00 2:34:00 3:18:00 55-59 6:30 21:00 34:30 43:45 56:15 1:12:00 1:16:00 1:39:15 1:40:15 2:04:00 2:35:30 2:48:00 3:36:00 60-64 7:10 23:15 38:15 48:30 1:02:15 1:20:00 1:24:15 1:50:00 1:51:00 2:17:30 2:52:30 3:06:00 4:00:00 65-69 8:40 28:00 45:45 58:00 1:14:30 1:35:30 1:40:45 2:11:30 2:13:00 2:44:30 3:26:00 3:43:00 4:47:00 70-74 13:25 43:15 1:11:15 1:30:00 1:55:45 2:28:00 2:36:30 3:20:00 3:26:00 4:10:00 5:00:00 5:22:00 7:02:00 75-89 15:00 50:00 1:20:00 1:40:00 2:00:00 2:30:00 2:41:00 3:20:00 3:31:00 4:10:00 5:00:00 5:22:00 7:02:00 90+ 17:00 55:00 1:30:00 1:55:00 2:10:00 2:50:00 3:00:00 3:30:00 3:40:00 4:20:00 5:15:00 5:35:00 7:17:00 2 A Minnesota Runner’s Yearbook The Best Runners in Minnesota in 2016 The performance lists that follow were used to rank the best Still, the system totals points at enough distances that it penal- Minnesota runners of 2016 in each age group. For each distance, izes the short- or long-distance specialist; the winners tend to be we assigned points to the top ten performances by Minnesotans people who perform well (and often) across the entire spectrum in each age group/gender: 10, 9, 8, etc. If there were fewer than of distance running, from 1 mile to 26.2 miles. ten performances, the top time was awarded only as many points as there were runners listed. In the Open divisions, the top twenty NOTE: performances were scored 20, 19, 18, etc. Due to the similarities in distance between the 15K/10M, only the runner’s higher score from one of the distances will be used If a runner ran more than one of the top scoring performances in in their total. The same is true for the 30K/20M. their category, they received only the points associated with the best performance, but they prevented rivals from getting points This is the 30th year that we’ve attempted to identify the they might otherwise have realized. For instance, say a runner best runners in Minnesota. Here they are, and how they earned records the top three times in their division for a given distance. their points in 2016. Note: in the discussion, statements like “X That runner will score 10 points. The runner who records the beat Y two times out of three” refer only to performances in races fourth fastest time at that distance will receive 7 points. If two on certifi ed courses in Minnesota that submitted their results runners run the same time, whether or not in the same race, they for record keeping. Frequent reference is made to the [2015 each receive the higher number of points earned by that time. World Master Athletics] “WMA age-graded scale.” This sys- tem rates any runner’s time as a percentage that is theoretically This system ignores performances by Minnesota runners out independent of age, sex, and distance. If you’d like to learn more of state. Therefore, the winners are not necessarily the “best about this system, simply Google “WMA age-graded calculator” Minnesota runners,” but they certainly were the “best runners in for more information.
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