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Soccer Analytics

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Paperback / softback
380 Pages
11 March 2024
RRP: $123.99
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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 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.

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    Product Details
    ISBN-13
    9781032357584
    Author
    Clive Beggs
    Publisher
    CRC Press
    Published
    11 March 2024
    Format
    Paperback / softback
    Pages
    380

    This product hasn't received any reviews yet. Be the first to review this product!

    RRP: $123.99
    $123.00
    Ships in 2-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Soccer Analytics

    RRP: $123.99
    $123.00

    Description

    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.

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