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Soccer Analytics
An Introduction Using R
Taschenbuch von Clive Beggs
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor

Clive Beggs is Emeritus Professor of Applied Physiology in the Carnegie School of Sport at Leeds Beckett University in the UK. He is both a physiologist and a bio-engineer, who has worked for many years with leading research teams around the world on a wide variety of medical and sport related projects - publishing many scientific papers in both fields. With a background in mathematical modelling of clinical and biological systems, he also has expertise in data analysis and machine learning, which he regularly uses in his sport performance work. Clive is both an amateur runner and soccer fan, and it is his life-long interest in sport and mathematics that has prompted him to write this book.

Inhaltsverzeichnis

1. Soccer analytics: the way ahead. 2. Getting started with R. 3. Using R to harvest and process soccer data. 4. Match data and league tables. 5. Predicting end-of-season league position. 6. Predicting soccer match outcomes. 7. Betting strategies. 8. Who are the key players? Using passing networks to analyse match play. 9. Which is the best team? Ranking systems in soccer. 10. Using linear regression to analyse match performance data. 11. Successful data analytics.

Details
Erscheinungsjahr: 2024
Genre: Importe, Sport
Produktart: Nachschlagewerke
Rubrik: Hobby & Freizeit
Thema: Ballsport
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781032357584
ISBN-10: 1032357584
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Beggs, Clive
Hersteller: Chapman and Hall/CRC
Maße: 234 x 156 x 21 mm
Von/Mit: Clive Beggs
Erscheinungsdatum: 11.03.2024
Gewicht: 0,603 kg
Artikel-ID: 128436498
Über den Autor

Clive Beggs is Emeritus Professor of Applied Physiology in the Carnegie School of Sport at Leeds Beckett University in the UK. He is both a physiologist and a bio-engineer, who has worked for many years with leading research teams around the world on a wide variety of medical and sport related projects - publishing many scientific papers in both fields. With a background in mathematical modelling of clinical and biological systems, he also has expertise in data analysis and machine learning, which he regularly uses in his sport performance work. Clive is both an amateur runner and soccer fan, and it is his life-long interest in sport and mathematics that has prompted him to write this book.

Inhaltsverzeichnis

1. Soccer analytics: the way ahead. 2. Getting started with R. 3. Using R to harvest and process soccer data. 4. Match data and league tables. 5. Predicting end-of-season league position. 6. Predicting soccer match outcomes. 7. Betting strategies. 8. Who are the key players? Using passing networks to analyse match play. 9. Which is the best team? Ranking systems in soccer. 10. Using linear regression to analyse match performance data. 11. Successful data analytics.

Details
Erscheinungsjahr: 2024
Genre: Importe, Sport
Produktart: Nachschlagewerke
Rubrik: Hobby & Freizeit
Thema: Ballsport
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781032357584
ISBN-10: 1032357584
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Beggs, Clive
Hersteller: Chapman and Hall/CRC
Maße: 234 x 156 x 21 mm
Von/Mit: Clive Beggs
Erscheinungsdatum: 11.03.2024
Gewicht: 0,603 kg
Artikel-ID: 128436498
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