Information generated from a 13.1-mile footrace often known as the Golden Leaf Half Marathon usually consists of ending instances for every participant, usually categorized by age group and gender. These datasets can also function extra info, similar to participant names, bib numbers, and general placement. An instance could be a desk itemizing every runner’s identify alongside their ending time and general rank inside the race.
Entry to this aggressive info provides runners invaluable insights into their efficiency. It permits for self-assessment, comparability with different individuals, and monitoring of non-public progress over time. Moreover, race outcomes contribute to the historic report of the occasion, documenting particular person achievements and the general evolution of participant efficiency. This info will be helpful for race organizers, sponsors, and researchers finding out athletic developments.
