Data from the 2025 race in San Francisco, covering 13.1 miles, will likely include finishing times for all participants, potentially segmented by age group and gender. This data may also encompass details like the overall winner’s time, average finishing time, and records broken. A hypothetical example could be a table listing participant bib numbers alongside corresponding completion times, or a graph visualizing the distribution of finishing times.
Access to this information provides runners with performance benchmarks, allowing them to track personal progress and compare their results against others. It offers a valuable tool for evaluating training effectiveness and setting future goals. Furthermore, race results contribute to the historical record of the event, documenting achievements and providing a snapshot of competitive running in a specific time and place. This data can be beneficial for race organizers in planning future events and for researchers studying athletic performance trends.