DATA MINING IN SPORTS BETTING

Cristian Georgescu ()
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Cristian Georgescu: Dunarea de Jos University of Galati, Romania

Risk in Contemporary Economy, 2013, 102-105

Abstract: In this paper, we have made a brief analysis on how to make decisions in betting on European football with the help of data mining techniques. Whether you refer to betting a few days in advance of the sporting event or live betting, both options have been taken into consideration. By using a clustering algorithm for analyzing both the database containing events from football matches and the odds given by bookmakers, we have obtained graphs indicating the probabilities associated with analyzed events. Given the purely informative aspect of the current paper, we have only analyzed the number of corners from a match.

Keywords: betting; European football; data mining; clustering (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:ddj:fserec:y:2013:p:102-105

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