Data regarding finishing times and placements in the annual long-distance running event held in Portland, Oregon, are a crucial resource for participants, spectators, and analysts. This data typically includes individual runner information such as bib number, name, age group, finishing time, and overall placement. Example data might show the winner’s time, age group breakdowns of finishers, or the average finishing time across all participants.
Access to this information offers numerous benefits. Runners can track their performance progress over time, compare their results with others in their age group, and identify areas for improvement. Spectators can follow the race’s progress and cheer on their favored runners. For race organizers and analysts, the aggregated data provides valuable insights into participation trends, race demographics, and the event’s overall success. Historically, access to such data has evolved from printed race results sheets to online databases offering comprehensive and readily accessible information, allowing for more in-depth analysis and faster dissemination of results.
