As stated by the Federation Internationale de Football Association (FIFA), while the sports industry itself generated sales totalling USD 300 billion in 2011, sports betting was worth USD 350-400 billion. The primary objective of the case is to examine the previous information from English Premier League to create winning strategies for the in-play betting. In play betting allows bettors to place their bets while the match is in progress. More often than not, the bettors may bet on next goal scorer, match result, the finished score, and so forth and can place bets any time during the match.
Unlike the other bets, in play betting odds are updated in real-time by the gaming companies predicated on the events in the match. In-play betting offers the bettors with an opportunity to mitigate the hazard on their other stakes. For instance, contemplate someone who placed a bet on a peculiar team to win prior to the beginning of the play. During the match, in the event the other team leads, he/she can mitigate the risk of losing cash by putting another in play stake. The aim of the case will be to forecast the outcome of football matches using categorization techniques including multinomial logistic regression and chi-squared automatic interaction detection (CHAID). The accompanying data in the Excel spread sheet (IMB403EPL.XLS) might be used by the instructor to present use of several classification tools.
PUBLICATION DATE: February 01, 2013 PRODUCT #: IMB401-PDF-ENG
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