Özet:

Todays, football becomes a very big industry and people’s noticeable payings in their house or in stadiums to follow matches, takes an acceptable status. Important clubs uses stadium incomes, broadcast incomes, advertisemant sponsorship and some investment means for earning the money they need for their success, in order to gain these incomes they have to be succesfull in some certain rates. In recent terms, especially Europes important leagues trademark values declaring with billions of dollars, get the teams, which want to take the money in this sector, working more carefull, with using science, criteria like footballers health, during match analyses, following footballers living circumstances becomes to take attendance. The aim in this study is to create a healthfull mathematical model of gaining or losing matches of Beşiktaş, Fenerbahçe and Galatasaray who compete in Turkish Super League by using their matches published statistics. A logistic regression model is used to predict the outcome winning or losing of three valuable football club matches. We use some accessible 26 explanatory variables such as first goal time home/away , number of scores home/away , ball possession, correct pass number, etc. Furthermore, we added a weight variable that contains the total score of the last three weeks, both in order to prevent high correlation amongst variables and in order to obtain simpler model.

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