Soccer Analytics

This book applies research findings from soccer match analysis, coaching analysis, decision making in sport and motor skill acquisition to inform the coach on best practices, with a view to improving performance of the individual player and the team. Soccer match analysis has become more and more important in recent years. No professional soccer club plays a single match without having analyzed their own and their opponents matches to find the best possible plan for success. In Soccer Analytics Ian M. Franks and Mike Hughes explore soccer match analyses and use the results to develop realistic, progressive practices to improve the performance of the individual players and the team. Research is directly applied to the coaching process and technical and tactical practices are designed to accommodate these findings. Not only is the players behavior during practice and matches analyzed but the coaches as well. This helps evaluate different coaching practices to find your ideal coaching style. Coaches of soccer from elite levels to recreational players, directors of coaching clubs and teams, undergraduate university students, college professors involved in coaching and teaching soccer, physical education teachers, parents of soccer players will develop insight from the ample material presented.

This book applies research findings from soccer match analysis, coaching analysis, decision making in sport and motor skill acquisition to inform the coach on best practices, with a view to improving performance of the individual player and the team. Soccer match analysis has become more and more important in recent years. No professional soccer club plays a single match without having analyzed their own and their opponents matches to find the best possible plan for success. In Soccer Analytics Ian M. Franks and Mike Hughes explore soccer match analyses and use the results to develop realistic, progressive practices to improve the performance of the individual players and the team. Research is directly applied to the coaching process and technical and tactical practices are designed to accommodate these findings. Not only is the players behavior during practice and matches analyzed but the coaches as well. This helps evaluate different coaching practices to find your ideal coaching style. Coaches of soccer from elite levels to recreational players, directors of coaching clubs and teams, undergraduate university students, college professors involved in coaching and teaching soccer, physical education teachers, parents of soccer players will develop insight from the ample material presented.

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. 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: Download and edit soccer data Produce graphics and statistics Predict match outcomes and final league positions Formulate betting strategies Rank teams Construct passing networks Assess match play Soccer Analytics: An Introduction Using R 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.

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. 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: Download and edit soccer data Produce graphics and statistics Predict match outcomes and final league positions Formulate betting strategies Rank teams Construct passing networks Assess match play Soccer Analytics: An Introduction Using R 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.