Vol. 123, No. 3 * Pages 265–408 * July - September 2019

Long-distance running is one of the most popular daily sports, through which we can keep our health or take care of our body. Millions of people around the world run for different reasons like recreation, professionalism, mental balance, or fun. That is why long-distance running competitions are organized very often. The organizers have to know the expected meteorological conditions and several specific parameters and information about performance of the runners retroactively to support them effectively as well as adapting to the running attitude and main goals.
The purpose of this study was on one side to develop a data analyzing tool with flexible and multifunctional analytical capabilities to identify which specific – especially meteorological – attributes of long-distance running competitions have relevant impact on the performance of the competitors, while on the other side to compare competitions with each other, which have different environmental and social properties in terms of running pace and age.