In this work, a machine learning approach is developed for predicting the outcomes of
football matches. The novelty of this research lies in the utilisation of the Kelly Index to first …

Machine learning has become a common approach to predicting the outcomes of soccer
matches, and the body of literature in this domain has grown substantially in the past decade …

Predicting the outcome of football matches has been an interesting challenge for which it is
realistically impossible to successfully do so for several bettors and football fans across the …

In this study, hybrid classification methods are proposed, and they are used to predict the
results of future football matches. Our hybrid classification methods are introduced by using …

In the past, machine learning techniques used to predict the outcome of professional team-
based sports matches have used the number of points or goals scored as the primary metric …

This study aims to find variables that affect the winning rate of the football team before a
match. Qualitative variables such as venue, match importance, performance, and …

One of the fundamental topics in sports analytics is the science of success, ie, the study of
the correlation between players' performances and their success. This is a very challenging …

Sports prediction has become more interesting especially in the era of statistical information
about the sport, players, teams and seasons are readily available. Sport analysts have opted …

The trend of modeling the football match classification has become increasingly popular in
the last few years, thus many classification models have been proposed with the point of …

Managers make decisions on team tactics, formations, and player selection based on their
own experiences. The managers have limitations in understanding the team's situation and …