Data regarding finishing times, placement, and participant information for the annual long-distance running event held in Kansas City comprises a valuable resource for runners, spectators, and analysts. This data typically includes details such as each runner’s name, bib number, age group, gender, overall finish time, and pace. Often, split times at various points along the course are also provided, offering insights into individual race strategies and performance. Example data points might include the overall winning time, age group winners, and average finishing times.
Access to this information provides runners with performance benchmarks, allowing for self-evaluation, goal setting, and tracking progress over time. It also offers a platform for comparing results against other participants and identifying areas for improvement. From a historical perspective, the accumulation of data over the years can reveal trends in participation, performance improvements, and the impact of factors like weather conditions. Furthermore, this data can be leveraged by race organizers to enhance future events through informed course management, resource allocation, and participant support strategies.