The finishing times and rankings of participants in the annual Copenhagen Marathon, specifically for the 2025 race, represent a valuable dataset for runners, coaches, and enthusiasts. This data typically includes individual runner information like finishing time, overall placement, age group ranking, and potentially split times at various points along the course. An example would be a record showing a participant’s completion of the 42.195-kilometer course in 3 hours and 15 minutes, placing them 50th overall and 10th within their age group.
Access to this competitive information offers crucial insights into individual performance and overall race trends. It allows runners to track their progress, compare their results with others, and identify areas for improvement. Coaches can utilize the data to analyze training effectiveness and strategize for future races. Furthermore, historical race data provides valuable context for understanding how performance has evolved over time, potentially reflecting changes in training methodologies or participant demographics. This historical perspective can be especially insightful when considering the influence of external factors like weather conditions on race outcomes.
