Data science has become an important aspect of modern day society. While the term was first coined in 1960 by Peter Naur, over the past decade, it has been applied to many different fields, one of which is sports. Over the past years, many ranking methods and rating systems have been developed for different sports; the Massey Ranking method, the Elo-rating system, and the Pomeroy ranking method are just a few examples of such models. However, there has been a lack of research in the area of accurate predictive modeling in soccer. The goal of this thesis is to compare and contrast a set of predictive models for determining the outcome of English Premier League (EPL) games
Predicting the features of behaviour of big data and multivariable systems has been a research subje...
In recent times there has been a substantial increase in research interest of soccer due to an incre...
Football remains an important sport in the world and it has a lot of followers. Researchers are oft...
Soccer is one of the most popular sports around the world. Many people, whether they are a fan of ...
This study aimed to identify the strongest predictive variables of winning and losing in the highest...
As analytical tools and techniques advance, increasingly large numbers of researchers apply these te...
English premier league (EPL) is one of the top leagues in Europe and any analysis of data generated...
This thesis analyzes the correlation between a team’s statistics and the success of their performanc...
Cílem práce bylo vyhodnotit faktory ovlivňující výsledky fotbalových zápasů, vytvořit hodnocení, kte...
This master's thesis concludes our five years study in Computer Science, at the Norwegian Unive...
This dissertation derived statistical models for predicting the outcomes of NBA Basketball matches b...
Several studies have attempted to predict soccer games using various machine learning algorithms. Fe...
The main goal of this article is to compare the performance of team ratings and individual player ra...
We compare various extensions of the Bradley–Terry model and a hierarchical Poisson log-linear model...
The aim of the thesis is to compare different statistical models for football betting odds and deter...
Predicting the features of behaviour of big data and multivariable systems has been a research subje...
In recent times there has been a substantial increase in research interest of soccer due to an incre...
Football remains an important sport in the world and it has a lot of followers. Researchers are oft...
Soccer is one of the most popular sports around the world. Many people, whether they are a fan of ...
This study aimed to identify the strongest predictive variables of winning and losing in the highest...
As analytical tools and techniques advance, increasingly large numbers of researchers apply these te...
English premier league (EPL) is one of the top leagues in Europe and any analysis of data generated...
This thesis analyzes the correlation between a team’s statistics and the success of their performanc...
Cílem práce bylo vyhodnotit faktory ovlivňující výsledky fotbalových zápasů, vytvořit hodnocení, kte...
This master's thesis concludes our five years study in Computer Science, at the Norwegian Unive...
This dissertation derived statistical models for predicting the outcomes of NBA Basketball matches b...
Several studies have attempted to predict soccer games using various machine learning algorithms. Fe...
The main goal of this article is to compare the performance of team ratings and individual player ra...
We compare various extensions of the Bradley–Terry model and a hierarchical Poisson log-linear model...
The aim of the thesis is to compare different statistical models for football betting odds and deter...
Predicting the features of behaviour of big data and multivariable systems has been a research subje...
In recent times there has been a substantial increase in research interest of soccer due to an incre...
Football remains an important sport in the world and it has a lot of followers. Researchers are oft...