Predictive Modelling for Football Analytics discusses the most well-known models and the main computational tools for the football analytics domain. It further introduces the footBayes R package that accompanies the reader through all the examples proposed in the book.

• Discusses various modelling strategies and predictive tools related to football analytics.
• Introduces algorithms and computational tools to check the models, make predictions, and visualize the final results.
• Showcases some guided examples through the use of the footBayes R package available on CRAN.

This text is primarily for senior undergraduate, graduate students, and academic researchers in the field of mathematics, statistics, and computer science willing to learn about the football analytics domain.