Predicting Counter-Strike Matches using Machine Learning Models
Sports betting is a widespread industry where predictive modeling play a big role. The goal of this thesis is to explore the possibilities of machine learning within the realm of e-sport prediction. The data used for this thesis is publicly available data was recorded over a three year period. The chosen variables are defined as the difference in player performance between two teams in order to cr
