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Soccer Analytics An Introduction Using R 1st Edition

ISBN: 9781032357584
ISBN: 9781032357584
Διαστάσεις 23 × 16 cm



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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 with 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.


Chapter 1       Soccer analytics: the way ahead

Chapter 2       Getting started with R

Chapter 3       Using R to harvest and process soccer data

Chapter 4       Match data and league tables

Chapter 5       Predicting end-of-season league position

Chapter 6       Predicting soccer match outcomes

Chapter 7       Betting strategies

Chapter 8       Who are the key players? Using passing networks to analyse match play

Chapter 9       Which is the best team? Ranking systems in soccer

Chapter 10     Using linear regression to analyse match performance data

Chapter 11     Successful data analytics