Decision-makers in soccer routinely assess the tactical behaviour of a team and its
opponents both during and after the game to optimize performance. Currently, this …

We investigate the most popular approaches to the problem of sports betting investment
based on modern portfolio theory and the Kelly criterion. We define the problem setting, the …

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 …

The application of data mining techniques and statistical analysis to the sports field has
received increasing attention in the last decade. One of the most famous sports in the world …

The continuous growth of available football data presents unprecedented research
opportunities for a better understanding of football dynamics. While many research works …

Poisson log-linear models are ubiquitous in many applications, and one of the most popular
approaches for parametric count regression. In the Bayesian context, however, there are no …

Across countries and continents, football (soccer) has drawn increasingly more attention
over the last decades and developed into a huge commercial complex. Consequently, the …

Football has become the most popular physical sport in the world. Football has evolved into
a sport that involves scientists to improve the quality of competition. Predicting football …

Two main approaches are considered when building statistical models for football
outcomes:(1) the goal-based approach, where the number of goals scored by two competing …

The approaches routinely used to model the outcomes of football matches are characterized
by strong assumptions about the dependence between the number of goals scored by the …