This Case is about DATA
PUBLICATION DATE: February 01, 2013 PRODUCT #: IMB401-PDF-ENG
According to the Federation Internationale de Football Association (FIFA), although the sports trade itself produced revenue totalling USD 300 billion in the year 2011, sports betting was worth USD 350-400 billion. The chief objective of this case is to examine the past information from the English Premier League (EPL) to enlarge winning approach for in-play betting.
In-play gaming lets bettors to place their wagers while the match is in progress. More often than not, the bettors may bet on next goal scorer, match result, the last score, etc and can place bets any time during the match.
Unlike the other wagers, in play betting odds are updated in real-time by the firms that were gaming predicated on the occasions in the match. In play gaming offers the bettors with a chance to mitigate the threat on their other stakes. During the match, in the event the other team leads, he or she can mitigate the risk of losing cash by putting another in play with wager. The goal of the instance would be to forecast the results of soccer matches using categorization techniques including multinomial logistic regression and chi squared automatic interaction detection (CHAID). The accompanying data in the Excel spreadsheet (IMB403EPL.XLS) might be utilized by the teacher to present use of several categorization tools.
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