It is well known that in these days sports betting are approached using the combined power of
databases and mathematical analysis tools for establishing both betting odds and options for betting. This
paper is an argument for the advantages of using data mining algorithms over the usual statistical tools
currently used in this domain. For exemplification of using data mining analysis tools, we have used a
clustering algorithm for predicting the number of corners both before the match, and live, during the
match, conditioned by other events already produced.
As is the case for business, the decision for betting on a specific sporting event can sometimes
involve important sums of money, so there has to be a decision making process based on objective
components. Oftentimes, professional punters base a lot of their bets on experience, intuition, knowledge
of the sport and a few formulas they have deduced along the way.