Analyzing the predictive power of advanced and traditional statistics in football

Additional Metadata
Keywords	Football; Advanced Statistics; Traditional Statistics; Machine Learning; Classification
Thesis Advisor	Nierop, JEM van
Persistent URL	hdl.handle.net/2105/62783
Series	Business Economics
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Matthews, M.S. (2022, July 12). Analyzing the predictive power of advanced and traditional statistics in football. Business Economics. Retrieved from http://hdl.handle.net/2105/62783

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