Data Analytics In Professional Soccer

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Data Analytics In Professional Soccer
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Author : Daniel Link
language : en
Publisher: Springer
Release Date : 2018-02-16
Data Analytics In Professional Soccer written by Daniel Link and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-16 with Computers categories.
Daniel Link explores how data analytics can be used for studying performance in soccer. Based on spatiotemporal data from the German Bundesliga, the six individual studies in this book present innovative mathematical approaches for game analysis and player assessment. The findings can support coaches and analysts to improve performance of their athletes and inspire other researchers to advance the research field of sports analytics.
Data Analytics In Football
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Author : Daniel Memmert
language : en
Publisher: Routledge
Release Date : 2018-05-30
Data Analytics In Football written by Daniel Memmert and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-30 with Sports & Recreation categories.
Data Analytics in Football provides students, researchers and coaches with a firm grounding in the principles of modern performance analysis. It offers an insight into the use of positional data, exploring how it can be collected, modelled, analysed and interpreted. Introducing cutting-edge methods, the book challenges long-held assumptions and encourages a new way of thinking about football analysis. Based on data collected from the German Bundesliga and the UEFA Champions League, the book seeks to define the role of positional data in football match analysis by exploring topics such as: What is positional data analysis and how did it emerge from conventional match analysis? How can positional data be collected and which technologies can be used? What are the benefits of a data-driven approach to decision making in football? What Key Performance Indicators based on positional data should be used? How can traditional match analysis be complemented by using positional data and advanced KPIs? How can these new methods evolve in the future? Accessibly written, packed full of examples from elite football and supplemented with expert interviews (Ralf Rangnick, Urs Siegenthaler and others), Data Analytics in Football is a thought-provoking, rigorously evidence-based guide to the use of data analytics in football performance analysis. As such, it is a vital resource for any student, researcher or coach interested in performance analysis and skill acquisition, or anyone interested in football more generally.
Soccer Analytics
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Author : Clive Beggs
language : en
Publisher: CRC Press
Release Date : 2024-03-11
Soccer Analytics written by Clive Beggs and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-11 with Sports & Recreation categories.
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.
Match Analysis
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Author : Daniel Memmert
language : en
Publisher: Routledge
Release Date : 2021-11-14
Match Analysis written by Daniel Memmert and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-14 with Health & Fitness categories.
Match analysis is a performance-diagnostic procedure, which can be used to carry out systematic gaming analysis during competition and training. The analysis of team and racket sports, whether in competition, for opponent preparation (match plan), follow-up, or training is nowadays indispensable in many sports games at different levels. This analysis nevertheless presents many open questions and problem areas: Which data should be used? Who manages the data? Who provides whom with which information? How is this information presented, digested, and applied? The more complex and anonymous the data management is, the more commercial, expensive, and uncontrollable information management and provision becomes. Match Analysis: How to Use Data in Professional Sport is the first book to examine this topic through three types of data sets; video, event, and position data and show how to interpret this data and apply the findings for better team and individual sport performance. This innovative new volume is key reading for researchers, students, and practitioners alike in the fields of Coaching, Performance Analysis, Sport Management, and related specific sport disciplines.
Sports Analytics And Data Science
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Author : Thomas W. Miller
language : en
Publisher: FT Press
Release Date : 2015-11-18
Sports Analytics And Data Science written by Thomas W. Miller and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-18 with Business & Economics categories.
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This up-to-the-minute reference will help you master all three facets of sports analytics — and use it to win! Sports Analytics and Data Science is the most accessible and practical guide to sports analytics for everyone who cares about winning and everyone who is interested in data science. You’ll discover how successful sports analytics blends business and sports savvy, modern information technology, and sophisticated modeling techniques. You’ll master the discipline through realistic sports vignettes and intuitive data visualizations–not complex math. Every chapter focuses on one key sports analytics application. Miller guides you through assessing players and teams, predicting scores and making game-day decisions, crafting brands and marketing messages, increasing revenue and profitability, and much more. Step by step, you’ll learn how analysts transform raw data and analytical models into wins: both on the field and in any sports business.
Football Hackers
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Author : Christoph Biermann
language : en
Publisher: Kings Road Publishing
Release Date : 2019-05-30
Football Hackers written by Christoph Biermann and has been published by Kings Road Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-30 with Sports & Recreation categories.
Well written and thoughtful. Takes us on a tour of some of Europe's most innovative football thinkers - Financial Times The future of football is now. Football's data revolution has only just begun. The arrival of advanced metrics and detailed analysis is already reshaping the modern game. We can now fully assess player performance, analyse the role of luck and measure what really leads to victory. There is no turning back. Now the race is on between football's wealthiest clubs and a group of outsiders, nerds and rule-breakers, who are turning the game on its head with their staggering innovations. Winning is no longer just about what happens out on the pitch, it's now a battle taking place in boardrooms and on screens across international borders with the world's brightest minds driving for an edge over their fiercest rivals. Christoph Biermann has moved in the midst of these disruptive upheavals, talking to scientists, coaches, managers, scouts and psychologists in the world's major clubs, traveling across Europe and the US and revealing the hidden - and often jaw-dropping - truths behind the beautiful game. 'A book full of exciting ideas and inside views on modern football. The most exciting book in an exciting time for football.' Thomas Hitzlsperger
Machine Learning And Data Mining For Sports Analytics
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Author : Ulf Brefeld
language : en
Publisher: Springer Nature
Release Date : 2025-03-25
Machine Learning And Data Mining For Sports Analytics written by Ulf Brefeld and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-25 with Computers categories.
This book constitutes the refereed proceedings of the 11th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2024, held in Vilnius, Lithuania, on September 9, 2024. The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions. They are grouped into the following topics: Individual sports; Basketball; Soccer; Other team sports/e-Sports.
Handbook Of Soccer Match Analysis
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Author : Christopher Carling
language : en
Publisher: Routledge
Release Date : 2007-01-24
Handbook Of Soccer Match Analysis written by Christopher Carling and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-24 with Games & Activities categories.
Appealing to a wide audience, this ground-breaking handbook takes an in-depth look at soccer match analysis, highlighting the latest in match analysis research and the innovative technologies now being used by professional soccer clubs around the world. Bridging the gap between research, theory and practice, these methods can be used by coaches, sport scientists and fitness coaches to assess and improve: styles of play, technical ability and physical fitness objective performance feedback to players the development of specific training routines use of available notation software, video analysis and manual systems understanding of current academic research in soccer notational analysis. This is the first book to focus exclusively on football, and is based on the authors' extensive experience in academic and professional match analysis.
Data Analytics For Business
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Author : Fenio Annansingh
language : en
Publisher: Routledge
Release Date : 2022-04-20
Data Analytics For Business written by Fenio Annansingh and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-20 with Business & Economics categories.
Data analytics underpin our modern data-driven economy. This textbook explains the relevance of data analytics at the firm and industry levels, tracing the evolution and key components of the field, and showing how data analytics insights can be leveraged for business results. The first section of the text covers key topics such as data analytics tools, data mining, business intelligence, customer relationship management, and cybersecurity. The chapters then take an industry focus, exploring how data analytics can be used in particular settings to strengthen business decision-making. A range of sectors are examined, including financial services, accounting, marketing, sport, health care, retail, transport, and education. With industry case studies, clear definitions of terminology, and no background knowledge required, this text supports students in gaining a solid understanding of data analytics and its practical applications. PowerPoint slides, a test bank of questions, and an instructor’s manual are also provided as online supplements. This will be a valuable text for undergraduate level courses in data analytics, data mining, business intelligence, and related areas.