Download or read book See the First Steps Football Analytics written by Rodney Paul and published by . This book was released on 2020-08-15 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: See the First Steps: Football Analytics offers an introduction to the exciting world of charts and statistics surrounding the hot topic of analytics for the sport of football. Using NFL data from Pro Football Reference and Microsoft Excel Software, readers are introduced to a wide range of basic and advanced statistics, statistical concepts, and a variety of charts for data visualization.For teen readers, central concepts covered on the SAT, ACT, and in AP Statistics are noted in the book, along with hands-on experience computing measures of central tendency and dispersion, and plotting numerous charts illustrating league leaders, great individual performances, and relationships between NFL statistics from the 2019 season. For adults, the book provides a refresher on statistics in addition to building skills using charts in Excel. These proficiencies are great for analysis of the NFL and other sports and also provide valuable general abilities which are transferrable to work-related reports and presentations. See the First Steps: Football Analytics provides the means to share your love for the sport of football, while building valuable skills for young and old alike and offers the opportunity to work together as family and/or friends to enhance your love for the sport of football. The end goal is to provide a framework where you can do your own analytics of NFL players and teams to deepen your understanding and enjoyment of the game.

Download or read book Take Your Eye Off the Ball 2 0 written by Pat Kirwan and published by Triumph Books. This book was released on 2015-09-15 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Renowned NFL analysts' tips to make football more accessible, colorful, and compelling than ever before More and more football fans are watching the NFL each week, but many of them don't know exactly what they should be watching. What does the offense's formation tell you about the play that's about to be run? When a quarterback throws a pass toward the sideline and the wide receiver cuts inside, which player is to blame? Why does a defensive end look like a Hall of Famer one week and a candidate for the practice squad the next? These questions and more are addressed in Take Your Eye Off the Ball 2.0, a book that takes readers deep inside the perpetual chess match between offense and defense. This book provides clear and simple explanations to the intricacies and nuances that affect the outcomes of every NFL game. This updated edition contains recent innovations from the 2015 NFL season.

Download or read book Football Analytics with Python R written by Eric A. Eager and published by "O'Reilly Media, Inc.". This book was released on 2023-08-15 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Sports Analytics written by Benjamin C. Alamar and published by Columbia University Press. This book was released on 2024-05-28 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data and analytics have the potential to provide sports organizations with a competitive advantage both on and off the field. Yet even as the use of analytics in sports has become commonplace, teams regularly find themselves making big investments without significant payoff. This book is a practical, nontechnical guide to incorporating sports data into decision making, giving leaders the knowledge they need to maximize their organization’s investment in analytics. Benjamin C. Alamar—a leading expert who has built high-performing analytics groups—surveys the current state of the use of data in sports, including both specifics around the tools and how to deploy them most effectively. Sports Analytics offers a clear, easily digestible overview of data management, statistical models, and information systems and a detailed understanding of their vast possibilities. It walks readers through the essentials of understanding the value of different types of data and strategies for building and managing an analytics team. Throughout, Alamar illustrates the value of analytics with real-world examples and case studies from both the sports and business sides. Sports Analytics has guided a range of sports professionals to success since its original publication in 2013. This second edition adds examples and strategies that focus on using data on the business side of a sports organization, provides concrete strategies for incorporating different types of data into decision making, and updates all discussions for the rapid technological developments of the last decade.

Download or read book Predictive Analytics written by Conrad Carlberg and published by Que Publishing. This book was released on 2017-07-13 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: EXCEL 2016 PREDICTIVE ANALYTICS FOR SERIOUS DATA CRUNCHERS! Now, you can apply cutting-edge predictive analytics techniques to help your business win–and you don’t need multimillion-dollar software to do it. All the tools you need are available in Microsoft Excel 2016, and all the knowledge and skills are right here, in this book! Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, helping you gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. Fully updated for Excel 2016, this guide contains valuable new coverage of accounting for seasonality and managing complex consumer choice scenarios. Throughout, Carlberg provides downloadable Excel 2016 workbooks you can easily adapt to your own needs, plus VBA code–much of it open-source–to streamline especially complex techniques. Step by step, you’ll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself. Learn the “how” and “why” of using data to make better decisions, and choose the right technique for each problem Capture live real-time data from diverse sources, including third-party websites Use logistic regression to predict behaviors such as “will buy” versus “won’t buy” Distinguish random data bounces from real, fundamental changes Forecast time series with smoothing and regression Account for trends and seasonality via Holt-Winters smoothing Prevent trends from running out of control over long time horizons Construct more accurate predictions by using Solver Manage large numbers of variables and unwieldy datasets with principal components analysis and Varimax factor rotation Apply ARIMA (Box-Jenkins) techniques to build better forecasts and clarify their meaning Handle complex consumer choice problems with advanced logistic regression Benchmark Excel results against R results

Download or read book Football Hackers written by Christoph Biermann and published by Kings Road Publishing. This book was released on 2019-05-30 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Handbook of Soccer Match Analysis written by Christopher Carling and published by Routledge. This book was released on 2007-01-24 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Head First Object Oriented Analysis and Design written by Brett McLaughlin and published by "O'Reilly Media, Inc.". This book was released on 2007 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides information on analyzing, designing, and writing object-oriented software.

Download or read book How to Win Your NCAA Tournament Pool written by Ed Feng and published by . This book was released on 2016-12-16 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data Analytics in Football written by Daniel Memmert and published by Routledge. This book was released on 2018-05-30 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Data Analytics in Football written by Daniel Memmert and published by Taylor & Francis. This book was released on 2023-12-22 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Business of Sports written by Mark Conrad and published by Taylor & Francis. This book was released on 2017-02-17 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Business of Sports provides a comprehensive foundation of the economic, organizational, legal and political components of the sports industry. Geared for journalism, communication and business students, but also an excellent resource for those working in sports, this text introduces readers to the ever-increasing complexity of an industry that is in constant flux. Now in its third edition, the volume continues to offer a wealth of statistics and case studies, up to date with the newest developments in sports business and focused on cutting-edge issues and topics, including the many changes in international sports and the role of analytics in decision-making and tax rules that have a major effect on athletes and teams.

Download or read book Soccermatics written by David Sumpter and published by Bloomsbury Publishing. This book was released on 2016-05-05 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Football looked at in a very different way' Pat Nevin, former Chelsea and Everton star and football media analyst Football – the most mathematical of sports. From shot statistics and league tables to the geometry of passing and managerial strategy, the modern game is filled with numbers, patterns and shapes. How do we make sense of them? The answer lies in the mathematical models applied in biology, physics and economics. Soccermatics brings football and mathematics together in a mind-bending synthesis, using numbers to help reveal the inner workings of the beautiful game. This new and expanded edition analyses the current big-name players and teams using mathematics, and meets the professionals working inside football who use numbers and statistics to boost performance. Welcome to the world of mathematical modelling, expressed brilliantly by David Sumpter through the prism of football. No matter who you follow – from your local non-league side to the big boys of the Premiership, La Liga, the Bundesliga, Serie A or the MLS – you'll be amazed at what mathematics has to teach us about the world's favourite sport.

Download or read book Naked Statistics Stripping the Dread from the Data written by Charles Wheelan and published by W. W. Norton & Company. This book was released on 2013-01-07 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: A New York Times bestseller "Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

Download or read book Newton s Football written by Allen St. John and published by Ballantine Books. This book was released on 2013-11-19 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the bestselling tradition of Freakonomics and Scorecasting comes a clever and accessible look at the big ideas underlying the science of football. Did you hear the one about the MacArthur genius physicist and the NFL coach? It’s not a joke. It’s actually an innovative way to understand chaos theory, and the remarkable complexity of modern professional football. In Newton’s Football, journalist and New York Times bestselling author Allen St. John and TED Speaker and former Yale professor Ainissa Ramirez explore the unexpected science behind America’s Game. Whether it’s Jerry Rice finding the common ground between quantum physics and the West Coast offense or an Ivy League biologist explaining—at a granular level—exactly how a Big Mac morphs into an outside linebacker, Newton’s Football illuminates football—and science—through funny, insightful stories told by some of the world’s sharpest minds. With a clear-eyed empirical approach—and an exuberant affection for the game—St. John and Ramirez address topics that have long beguiled scientists and football fans alike, including: • the unlikely evolution of the football (or, as they put it, “The Divinely Random Bounce of the Prolate Spheroid”) • what Vince Lombardi has in common with Isaac Newton • how the hardwired behavior of monkeys can explain a head coach’s reluctance to go for it on fourth-down • why a gruesome elevator accident jump-started the evolution of placekicking • how Teddy Roosevelt saved football using the same behavioral science concept that Dreamworks would use to save Shrek • why woodpeckers don’t get concussions • how better helmets actually made the game more dangerous Every Sunday the NFL shares a secret with only its savviest fans: The game isn’t just a clash of bodies, it’s a clash of ideas. The greatest minds in football have always possessed an instinctual grasp of science, understanding the big ideas and gritty realities that inform the game’s rich past, as well as its increasingly uncertain future. Blending smart reporting, counterintuitive creativity, and compelling narrative, Newton’s Football takes gridiron analysis to the next level, giving fans a book that entertains, enlightens, and explains the game anew. Praise for Newton’s Football “It was with great interest that I read Newton’s Football. I’m a fan of applying of science to sport and Newton’s Football truly delivers. The stories are as engaging as they are informative. This is a great read for all football fans.”—Mark Cuban “A delightfully improbable book putting science nerds and sports fans on the same page.”—Booklist “This breezily-written but informative book should pique the interest of any serious football fan in the twenty-first century.”—The American Spectator “The authors have done a worthy job of combining popular science and sports into a work that features enough expertise on each topic to satisfy nerds and jocks alike. . . . The writers succeed in their task thanks to in-depth scientific knowledge, a wonderful grasp of football’s past and present, interviews with a wide array of experts, and witty prose. . . . [Newton’s Football is] fun and thought-provoking, proving that football is a mind game as much as it is a ball game.”—Publishers Weekly

Download or read book Foundations of Data Science written by Avrim Blum and published by Cambridge University Press. This book was released on 2020-01-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.

Download or read book R for Everyone written by Jared P. Lander and published by Addison-Wesley Professional. This book was released on 2017-06-13 with total page 1454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you’ll make your code reproducible with LaTeX, RMarkdown, and Shiny. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. Coverage includes Explore R, RStudio, and R packages Use R for math: variable types, vectors, calling functions, and more Exploit data structures, including data.frames, matrices, and lists Read many different types of data Create attractive, intuitive statistical graphics Write user-defined functions Control program flow with if, ifelse, and complex checks Improve program efficiency with group manipulations Combine and reshape multiple datasets Manipulate strings using R’s facilities and regular expressions Create normal, binomial, and Poisson probability distributions Build linear, generalized linear, and nonlinear models Program basic statistics: mean, standard deviation, and t-tests Train machine learning models Assess the quality of models and variable selection Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods Analyze univariate and multivariate time series data Group data via K-means and hierarchical clustering Prepare reports, slideshows, and web pages with knitr Display interactive data with RMarkdown and htmlwidgets Implement dashboards with Shiny Build reusable R packages with devtools and Rcpp Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available.