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.

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 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.

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

In The Science of Football, sportswriter and injury expert Will Carroll teams up with writer and podcast host Tyler Brooke to show how understanding the science behind American football helps fans appreciate the sport even more. The authors cover topics like injuries, equipment, and analytics from all sides of the game, including offense, defense, and special teams. After reading this fascinating addition to the successful Science of series, football enthusiasts at the professional, college, and high school levels and science geeks alike will better appreciate the game--no matter which teams are playing!

The Football Analytics revolution is here! Football Analytics will help you and your football program win more games and experience more success! Instantly learn how to apply football analytics to assist you with your football coaching decision-making processes. Topics covered in this book include: 1) The Football Analytics Revolution. 2) Current football trends and comparative analytics. 3) How to understand football statistics and analytics. 4) Comprehending statistical correlation for football analytics. 5) Evaluating play-calling tendencies and probabilities. 6) Multi-dimensional analytics and cross-referencing processes. 7) How to source data and develop an informational coaching database. 8) Gaming-winning fourth-down decisions (when do you go for it?). 9) Calculating expected point values for coaching decisions. 10) The math of icing the kicker. 11) Foundational football analytics and standard deviation. 12) Kicking game metrics and analytics (when to punt and when to kick the field goal). 13) Critical offensive ratios defining football analytics. 14) In-game football metrics and measures for analytics. 15) Defensive metrics and predictors for analytics. 16) Possession metrics and analytics. 17) Goal-Line dynamics and analytics. 18) Two-Point conversions and P.A.T.s. Included for you are numerous analytics examples using actual data from recent pro and college football seasons and teams! In addition, each chapter comes with fun quizzes so you can track your progress as you read! It's not if analytics become an essential part of the football program, it's when, and here's the breaking news - the when is right now!If you are a football coach, this book is written and presented to help you, your staff, and your program win more games! If you are a football fan, this book is written and presented to help you understand the game of football from a different perspective. In essence, you can become a super fan, a football genius, a football statistics mastermind, and a football analytics guru! How can analytics help you and your football program? Find out now!