Soccer Analytics


Soccer Analytics
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Soccer Analytics


Soccer Analytics
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Author : Ian Franks
language : en
Publisher: Meyer & Meyer Sport
Release Date : 2016-08-29

Soccer Analytics written by Ian Franks and has been published by Meyer & Meyer Sport this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-29 with Sports & Recreation categories.


Match analysis in soccer has become more and more important in recent years. Nowadays, no professional soccer club plays a single match without having analyzed their own and their opponents’ matches to find the best possible match plan and maximize their success. In this book, Ian M. Franks and Mike Hughes explore soccer analyses and use the results to develop realistic, progressive practices to improve the performance of the individual players and the team. Research from human decision making and motor skill acquisition 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. Any coach reading this book will find help in developing and improving their coaching. Anyone who wishes to delve more into the science of soccer analysis will find ample material as well as a comprehensive bibliography to better understand the science of soccer!



Soccer Analytics


Soccer Analytics
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Author : Chest Dugger
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-02-24

Soccer Analytics written by Chest Dugger and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-24 with categories.


Do you love soccer and want to get better in a systematic manner? Or have you ever wondered how top level coaches and players think about the game at the top level? This book is your answer. Analytics are playing an increasing role in the world of soccer. The days of gut instinct representing the main tactic in a game are passing, and a more calculated approach is being applied to coaching and playing. This has the advantage of providing a secure base on which coaches and players can apply their bits of skill, their touches of magic that can turn a game. This book will explain what soccer analytics are, and how they work in a game. It will analyse different parts of play during a game and provide ideas and details around how analytics can improve a team during various passages of play. It will show that it is possible to carry out analytics without recourse to expensive software and the kind of backroom team that is only possible in the higher levels of the professional game. Here's What's Included In This Book: How Analytics are Used in Soccer Team Formation Analytics Attacking Set Play Analytics Defensive Set Play Analytics Player Performance Analytics Player Injury Analytics Player Combination Analytics Scroll up and download now.



Soccer Analytics


Soccer Analytics
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Author : Clive Beggs
language : en
Publisher:
Release Date : 2024

Soccer Analytics written by Clive Beggs and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Mathematics 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.



Data Analytics In Professional Soccer


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


Data Analytics In Football
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Author : Daniel Memmert
language : en
Publisher: Taylor & Francis
Release Date : 2023-12-22

Data Analytics In Football written by Daniel Memmert and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-22 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 they can be collected, modeled, analyzed, and interpreted. Introducing cutting-edge methods, the book challenges long-held assumptions and encourages a new way of thinking about football analysis. The book seeks to define the role of positional data in football match analysis by exploring topics such as the following: 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 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? Based on data collected from active leagues and fully revised for the new second edition, the text now also examines data collection in relation to other sports, how a data-driven approach in decision-making is achieved by professional teams, the potential of the new methods of data collection, and how they could evolve in the future. Accessibly written, packed full of examples from elite football, and supplemented with expert interviews, 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


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.



Soccer Analytics


Soccer Analytics
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Author : Ian Franks
language : en
Publisher: Meyer & Meyer Sport
Release Date : 2016-09-09

Soccer Analytics written by Ian Franks and has been published by Meyer & Meyer Sport this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-09 with Sports & Recreation categories.


Match analysis in soccer has become more and more important in recent years. Nowadays, no professional soccer club plays a single match without having analyzed their own and their opponents' matches to find the best possible match plan and maximize their success. In this book, Ian M. Franks and Mike Hughes explore soccer analyses and use the results to develop realistic, progressive practices to improve the performance of the individual players and the team. Research from human decision making and motor skill acquisition 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. Any coach reading this book will find help in developing and improving their coaching. Anyone who wishes to delve more into the science of soccer analysis will find ample material as well as a comprehensive bibliography to better understand the science of soccer!



The Numbers Game


The Numbers Game
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Author : Chris Anderson
language : en
Publisher: Penguin UK
Release Date : 2013-05-30

The Numbers Game written by Chris Anderson and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-30 with Sports & Recreation categories.


The Numbers Game by Chris Anderson and David Sally reveals football's astonishing hidden rules Football has always been a numbers game: 4-4-2, the big number 9 and 3 points for a win. But what if up until now we've been focusing on the wrong numbers? What if the numbers that really matter, the ones that hold the key to winning matches, are actually 2.66, 53.4, 50/50, and 0 > 1? What if managers only make a 15% difference? What if Chelsea should have bought Darren Bent? In this incisive, myth-busting book, Chris Anderson, former goalkeeper turned football statistics guru, and David Sally, former baseball pitcher turned behavioural economist, show that every shred of knowledge we can gather can help us to love football and understand it even more. You'll discover why stopping a goal is more valuable than scoring one, why corners should be taken short, and why it is better to improve your worst player than to buy a superstar. You'll never play, or watch, a game of football in quite the same way again. The Numbers Game is essential reading for football fans everywhere and will also appeal to readers who loved Moneyball and Freakonomics. At 17, Chris Anderson found himself playing in goal for a fourth division club in West Germany; today, he's a professor in the Ivy League at Cornell University in Ithaca, New York. An award winning social scientist and football analytics pioneer, Anderson consults with leading clubs about how best to play the numbers game. David Sally is a former baseball pitcher and a professor at the Tuck School of Business at Dartmouth College in the US, where he analyses the strategies and tactics people use when they play, compete, negotiate, and make decisions. He is an adviser to clubs and other organizations in the global football industry.



Football Analytics With Python R


Football Analytics With Python R
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Author : Eric A. Eager
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-08-15

Football Analytics With Python R written by Eric A. Eager and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-15 with Computers categories.


Baseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. Professional and college teams use data to help select players and identify team needs. Fans use data to guide fantasy team picks and strategies. Sports bettors and fantasy football players are using data to help inform decision making. This concise book provides a clear introduction to using statistical models to analyze football data. Whether your goal is to produce a winning team, dominate your fantasy football league, qualify for an entry-level football analyst position, or simply learn R and Python using fun example cases, this book is your starting place. You'll learn how to: Apply basic statistical concepts to football datasets Describe football data with quantitative methods Create efficient workflows that offer reproducible results Use data science skills such as web scraping, manipulating data, and plotting data Implement statistical models for football data Link data summaries and model outputs to create reports or presentations using tools such as R Markdown and R Shiny And more



Data Analytics In Football


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.