This paper focuses on process mining using the tools ProM and Disco, which are used for analyzing and visualizing data from real business processes. The goal was to compare the capabilities and advantages of both tools through a case study of analyzing World Cup titles in football, where the number of titles won by countries was observed as an example of a complex process.In the first part of the paper, key concepts related to process mining are described, including Petri nets, BPMN, and the XES data format. Then, the tools ProM and Disco are presented in detail, including their installation and a comparison of commercial and non-commercial tools for process mining.The central part of the paper consists of a case study analyzing the number of World Cup titles won using ProM and Disco. ProM proved to be better in deep analysis of complex patterns and time series, while Disco excelled in visualization and ease of use. At the end of the paper, a comparison of the tools is conducted, emphasizing that the choice between ProM and Disco depends on the specific needs of the user – ProM is more suitable for complex analyses, while Disco is ideal for quick and intuitive process visualization.The conclusions are focused on identifying best practices in the use of both tools and recommendations for their application in process mining, depending on the complexity of the analysis and the organization's needs.