Information generated from a 13.1-mile footrace held in Corvallis, Oregon, sometimes consists of ending instances for every participant, usually categorized by age and gender. These datasets can also provide particulars like general placement, tempo, and probably cut up instances at varied factors alongside the course. An instance can be a desk itemizing every runner’s bib quantity, title, and corresponding time.
Entry to this data gives runners useful insights into their efficiency, enabling comparisons with previous races and figuring out areas for enchancment. It additionally serves the broader working neighborhood by showcasing aggressive outcomes and probably monitoring historic traits in race instances. The information’s availability facilitates recognition of prime performers and may contribute to the occasion’s general attraction and historic file.
