Applied statistics workshop by Léon Kourtis
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Friday, 16 February 2024, 08h00Friday, 16 February 2024, 17h00
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will give a presentation on
This presentation will delve into the current role of data science in practical applications in sports and its future perspectives. I will share insights based on my experiences in the realms of data and sports, having recently completed a Master's degree at ENSAI in France. Two case studies will be showcased: The first case centers around Montpellier Hérault Sport Club, a professional soccer club in France, where I undertook an internship between two seasons. This segment will focus on the available data in elite football, its utilization, and its specific applications within the club. It will discuss the use of event data to assist the coaching staff, the structural aspects, and the various ways data contributes to a professional team, with a particular emphasis on tactical data. The second case takes place at Tennis Australia, where I was a part of the Game Insight Group, a team of researchers and I was working on the 'Win Predictor' project. This project involves predicting outcomes in ATP tennis matches, with a specific goal of providing accurate probabilities for Tennis Australia's broadcasts, such as the Australian Open. This section will explore the feasibility of game prediction, the associated challenges, and how mathematics and modeling can be applied to sports predictions, with its limits.