Titlebook: Machine Learning and Data Mining for Sports Analytics; 10th International W Ulf Brefeld,Jesse Davis,Albrecht Zimmermann Conference proceedi

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What Data Should Be Collected for a Good Handball , model?occer. This metric can be modeled by machine learning, and the models developed consider an increasing number of attributes, which increases the cost of learning it. The use of xG is not widespread in handball, so the question of learning it for this sport arose, in particular which attributes are r

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Identifying Player Roles in?Ice Hockeytraining, game adjustments and team construction. In this paper, we propose a probabilistic method for quantifying player roles in ice hockey that allows for a player to belong to different roles with some probability. Using data from the 2021–2022 NHL season, we analyze and group players into clust

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Elite Rugby League Players’ Signature Movement Patterns and?Position Predictiontial nature. Nowadays, movement patterns are used to sequentially quantify players’ activities to understand match demands on players. However, the specific behavioural (i.e., signature) movement patterns of rugby league players per playing position remain unknown and the prediction of rugby league

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Boat Speed Prediction in?SailGPg machine learning techniques. As a pioneer work in the academic community, our work showcases the power of data-driven approaches in enhancing performance and decision-making at high-performance sailing events. Specifically, we explore the application of data mining techniques on the dataset collec