Data from this prominent Minnesota race, typically held in October, provides runners with official finishing times, age group rankings, and overall placement. This information often includes split times at various points along the course, allowing participants to analyze their performance. A hypothetical example would be a runner reviewing their pace at the halfway point to understand pacing strategies for future races.
Access to this data offers more than just personal satisfaction. It allows athletes to track progress, identify areas for improvement, and qualify for other prestigious marathons like Boston. Historically, the availability of these statistics has evolved from simple posted lists to sophisticated online databases, reflecting the growing importance of data analysis in athletics. Furthermore, aggregated data provides valuable insights for race organizers, sponsors, and researchers studying athletic performance and trends.
