Data from the challenging cycling event known for its grueling off-road terrain and unique obstacles provide valuable insights for participants and enthusiasts. These datasets typically encompass finishing times, rider rankings, and potentially additional metrics like segment performance and power output. An example would be a table listing each competitor’s overall time, placement within their age group, and average speed.
Access to this information allows cyclists to assess their performance, identify areas for improvement, and track progress over time. Moreover, it offers a valuable resource for comparing results across different years and analyzing trends in participant performance. Historically, the dissemination of this data has evolved from simple paper postings at the finish line to sophisticated online platforms offering real-time updates and detailed analytics. This evolution reflects the growing importance of data analysis in competitive cycling.
