Cerviño García, MartínSeco, DiegoVarela Rodeiro, Tirso2026-09-142026-09-142025Cerviño García, M., Seco, D., & Varela Rodeiro, T. (2026). Web Application Oriented to the Analysis of Multiple Trajectories in Football Matches Based on Georeferenced Data. In Proceedings XoveTIC 2025: Impulsando el talento científico (pp. 279-286). Servizo de Publicacións UDC. https://doi.org/10.17979/spu.23.c46978-84-9749-925-5https://hdl.handle.net/2183/49230Presentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña.[Abstract] Data analysis has become an essential tool for understanding and optimizing performance in football. Within this context, the study of player trajectories plays a key role in the tactical analysis of the game. This paper presents the development of a system designed to visualize, search and compare player trajectories during a match based on georeferenced data. Implemented in a web application, the system enables users to identify and explore movements at key moments using either static or dynamic visualizations. In addition, it integrates a system that allows the detection of trajectories with movement patterns similar to a given trajectory, which required the design and optimization of an efficient similarity search algorithm.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Football analyticsTrajectory analysisGeoreferenced dataSimilarity search algorithmsWeb-based visualizationconference outputopen access10.17979/spu.23.c46