Information generated from a 13.1-mile footrace held in Asheville, North Carolina, sometimes consists of ending instances for every participant, categorized by age group and gender. This information might also function general placement, tempo data, and doubtlessly qualifying instances for different races. An instance can be a publicly accessible on-line database itemizing each runner’s efficiency in a selected 12 months’s competitors.
Entry to this aggressive data affords runners useful insights into private efficiency and progress. It permits for comparability with different contributors, fostering a way of neighborhood and motivation. Traditionally, race outcomes have been a cornerstone of aggressive operating, serving as official information and aiding within the growth of coaching methods. The information also can contribute to the understanding of athletic tendencies and efficiency metrics throughout the operating neighborhood.