Data Mining and Machine Learning in Sports
Success Metrics for Elite Goalkeepers in European Football Leagues
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Beschreibung
This brief highlights the factors associated with good goalkeeping techniques and their impact on goalkeepers’ performance in elite European football leagues. The goalkeeping performances of 1600 goalkeepers from five consecutive seasons across the English Premier League, Spanish La Liga, Italian Serie A, and German Bundesliga are studied. The findings from this brief are useful for identifying the success metrices of top-class goalkeepers that help stakeholders to devise strategies to further enhance their performances and empower talent identification experts with pertinent information for mapping out future high-performance goalkeepers.
This brief highlights the factors associated with good goalkeeping techniques and their impact on goalkeepers’ performance in elite European football leagues. The goalkeeping performances of 1600 goalkeepers from five consecutive seasons across the English Premier League, Spanish La Liga, Italian Serie A, and German Bundesliga are studied. The findings from this brief are useful for identifying the success metrices of top-class goalkeepers that help stakeholders to devise strategies to further enhance their performances and empower talent identification experts with pertinent information for mapping out future high-performance goalkeepers.
Highlights the use of data mining and ML techniques in enhancing the performance of soccer goalkeepers Presents large datasets to draw important inferences for diagnostic and performance improvement purposes Includes analysis from various top-flight European Soccer Leagues to substantiate the findings
Autor*in
Rabiu Muazu Musa
Themen in »Data Mining and Machine Learning in Sports«
Goalkeeping techniques European Goalkeepers Anthropometrics parameters English Premier League Spanish LaLiga Italian Serie A German Bundesliga European Soccer Leagues