Using Artificial Intelligence and Data to Analyze Soccer
Sports has become an incredibly data rich field where it is possible to collect data about matches and training sessions for both professional and recreational athletes. The scale and complexity of the data means that automated approaches such as artificial intelligence (AI) are beginning to play a key role in sports. Specifically, AI can provide insights into areas such as the technical performance of players and the tactics of teams.
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In this presentation Jesse Davis (Declarative Languages and Artificial Intelligence, KU Leuven) will sketch how we have been using AI to analyse data arising from professional soccer. In particular the introduction will focus on describing how it is possible to assess the impact of the individual actions performed by soccer players during games and how AI can provide tactical insights into areas such as ‘pressing’.
Rahul Telang (LIAS fellow, Carnegie Mellon University) joins him in conversation.
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