Tactical analysis of team sports using data mining methods

OData support
Supervisor:
Barta Gergő
Department of Telecommunications and Media Informatics

Nowadays sport became one of the most important things in human entertainment. As a consequence it has a huge impact in business life so it is not a suprise that more and more experts are choosing this research area. These specialists are the so called data analytics who have a task of exploring brand new connections and dependencies in data which can help maximazing the performance of a sport team during their participation in the championship.

The goal of this thesis is analyzing basketball statistical data of a whole season and creating a tactical analysis by using data mining methods and algorithms which can identify the most successful tactic for a team in order to achieve the possibly best place in the championship.

This knowledge discovery process can be followed during the thesis from data preprocessing and transformation to creating and clustering time series team ending with generating profiles for teams which can be used for the determination of the most efficient play style leading to victory.

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