The outcomes of a particular long-distance biking occasion held in Levi, Finland, present invaluable information for members and fans. These outcomes usually embody ending instances, rider rankings inside numerous classes (usually primarily based on age and gender), and probably different metrics corresponding to common velocity and section efficiency. A hypothetical instance can be a rider ending the 100km course in 3 hours and quarter-hour, putting fifth of their age group.
Entry to this information permits cyclists to trace their progress, evaluate their efficiency in opposition to others, and establish areas for enchancment. For occasion organizers, the knowledge is essential for managing the race, validating outcomes, and probably informing future course design or occasion logistics. Traditionally, compiling and disseminating such data has developed from hand-recorded instances and paper postings to classy digital timing methods and on-line databases, providing near-instant entry to complete outcomes.
