Soccer Analytics

<p>Sports analytics is on the rise with top soccer clubs bookmakers and broadcasters all employing statisticians and data scientists to gain an edge over their competitors.</p><p>Many popular books have been written exploring the mathematics of soccer. However few supply details on how soccer data can be analysed in real-life. The book addresses this issue via a practical route one approach designed to show readers how to successfully tackle a range of soccer related problems using the easy-to-learn computer language R. Through a series of easy-to-follow examples the book explains how R can be used to:</p><ul> <li>Download and edit soccer data</li> <li>Produce graphics and statistics</li> <li>Predict match outcomes and final league positions</li> <li>Formulate betting strategies</li> <li>Rank teams</li> <li>Construct passing networks</li> <li>Assess match play</li> </ul><p><b>Soccer Analytics: An Introduction Using R</b> is a comprehensive introduction to soccer analytics aimed at all those interested in analysing soccer data be they fans gamblers coaches sports scientists or data scientists and statisticians wishing to pursue a career in professional soccer. It aims to equip the reader with the knowledge and skills required to confidently analyse soccer data using R all in a few easy lessons.</p>