Data regarding competitor finishing times, placements, and potentially additional statistics like age group rankings from the Austin 3M Half Marathon comprise a valuable resource. For example, a hypothetical result set might show the winner’s time, the average finishing time, and the number of participants in each age bracket.
This information offers runners crucial performance feedback, enabling them to track progress, identify areas for improvement, and compare their results against others. Furthermore, race organizers, sponsors, and the city of Austin benefit from the data, using it to understand participation trends, assess the event’s success, and plan future races. Historically, the collection and dissemination of race results have evolved from simple posted lists to sophisticated online databases, reflecting the growing importance of data analysis in athletic events.