Beyond the 90 minutes: football, tourism and hospitality by David Proctor, Prantik Bordoloi

“…Using content analysis, the article examines the current state of play across the Eredivisie and its professional clubs by providing an inventory of the leisure and hospitality operations offered. …”
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On Predicting Soccer Outcomes in the Greek League Using Machine Learning by Marios-Christos Malamatinos, Eleni Vrochidou, George A. Papakostas

“…For comparative reasons, the best model is also tested on the English Premier League and the Dutch Eredivisie, exploiting data statistics from six seasons from 2014 to 2020. …”
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Early Prediction of Physical Performance in Elite Soccer Matches—A Machine Learning Approach to Support Substitutions by Talko B. Dijkhuis, Matthias Kempe, Koen A. P. M. Lemmink

“…Tracking data of individual players, except for goalkeepers, from 302 elite soccer matches of the Dutch ‘Eredivisie’ 2018–2019 season were used to enable the prediction of the individual physical performance. …”
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The “Hockey” Assist Makes the Difference—Validation of a Defensive Disruptiveness Model to Evaluate Passing Sequences in Elite Soccer by Leander Forcher, Matthias Kempe, Stefan Altmann, Leon Forcher, Alexander Woll

“…In this study, 258 games of Dutch Eredivisie season 2018/19 were included, resulting in 13,094 attacks. …”
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