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Statistical Modelling And Sports Business Analytics
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Book Synopsis Statistical Modelling and Sports Business Analytics by : Vanessa Ratten
Download or read book Statistical Modelling and Sports Business Analytics written by Vanessa Ratten and published by Routledge. This book was released on 2020-05-11 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces predictive analytics in sports and discusses the relationship between analytics and algorithms and statistics. It defines sports data to be used and explains why the unique nature of sports would make analytics useful. The book also explains why the proper use of predictive analytics includes knowing what they are incapable of doing as well as the role of predictive analytics in the bigger picture of sports entrepreneurship, innovation, and technology. The book looks at the mathematical foundations that enhance technical knowledge of predictive models and illustrates through practical, insightful cases that will help to empower readers to build and deploy their own analytic methodologies. This book targets readers who already have working knowledge of location, dispersion, and distribution statistics, bivariate relationships (scatter plots and correlation coefficients), and statistical significance testing and is a reliable, well-rounded reference for furthering their knowledge of predictive analytics in sports.
Book Synopsis Statistical Modelling and Sports Business Analytics by : Vanessa Ratten
Download or read book Statistical Modelling and Sports Business Analytics written by Vanessa Ratten and published by Routledge. This book was released on 2020-05-11 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces predictive analytics in sports and discusses the relationship between analytics and algorithms and statistics. It defines sports data to be used and explains why the unique nature of sports would make analytics useful. The book also explains why the proper use of predictive analytics includes knowing what they are incapable of doing as well as the role of predictive analytics in the bigger picture of sports entrepreneurship, innovation, and technology. The book looks at the mathematical foundations that enhance technical knowledge of predictive models and illustrates through practical, insightful cases that will help to empower readers to build and deploy their own analytic methodologies. This book targets readers who already have working knowledge of location, dispersion, and distribution statistics, bivariate relationships (scatter plots and correlation coefficients), and statistical significance testing and is a reliable, well-rounded reference for furthering their knowledge of predictive analytics in sports.
Book Synopsis Sport Business Analytics by : C. Keith Harrison
Download or read book Sport Business Analytics written by C. Keith Harrison and published by CRC Press. This book was released on 2016-11-18 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developing and implementing a systematic analytics strategy can result in a sustainable competitive advantage within the sport business industry. This timely and relevant book provides practical strategies to collect data and then convert that data into meaningful, value-added information and actionable insights. Its primary objective is to help sport business organizations utilize data-driven decision-making to generate optimal revenue from such areas as ticket sales and corporate partnerships. To that end, the book includes in-depth case studies from such leading sports organizations as the Orlando Magic, Tampa Bay Buccaneers, Duke University, and the Aspire Group. The core purpose of sport business analytics is to convert raw data into information that enables sport business professionals to make strategic business decisions that result in improved company financial performance and a measurable and sustainable competitive advantage. Readers will learn about the role of big data and analytics in: Ticket pricing Season ticket member retention Fan engagement Sponsorship valuation Customer relationship management Digital marketing Market research Data visualization. This book examines changes in the ticketing marketplace and spotlights innovative ticketing strategies used in various sport organizations. It shows how to engage fans with social media and digital analytics, presents techniques to analyze engagement and marketing strategies, and explains how to utilize analytics to leverage fan engagement to enhance revenue for sport organizations. Filled with insightful case studies, this book benefits both sports business professionals and students. The concluding chapter on teaching sport analytics further enhances its value to academics.
Book Synopsis Sports Analytics and Data Science by : Thomas W. Miller
Download or read book Sports Analytics and Data Science written by Thomas W. Miller and published by FT Press. This book was released on 2015-11-18 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Sports Performance Measurement and Analytics by : Lorena Martin
Download or read book Sports Performance Measurement and Analytics written by Lorena Martin and published by FT Press. This book was released on 2016-02-03 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: A PRACTICAL, REAL-WORLD GUIDE TO ANALYTICS FOR THE 5 MAJOR SPORTS: FOOTBALL, BASKETBALL, BASEBALL, SOCCER, AND TENNIS GAIN A COMPETITIVE EDGE! This is the first real-world guide to building and using analytical models for measuring and assessing performance in the five major sports: football, basketball, baseball, soccer, and tennis. Unlike books that focus strictly on theory, this book brings together sports measurement and statistical analyses, demonstrating how to examine differences across sports as well as between player positions. This book will provide you with the tools for cutting-edge approaches you can extend to the sport of your choice. Expert Northwestern University data scientist, UC San Diego researcher, and competitive athlete, Lorena Martin shows how to use measures and apply statistical models to evaluate players, reduce injuries, and improve sports performance. You’ll learn how to leverage a deep understanding of each sport’s principles, rules, attributes, measures, and performance outcomes. Sports Performance Measurement and Analytics will be an indispensable resource for anyone who wants to bring analytical rigor to athletic competition: students, professors, analysts, fans, physiologists, coaches, managers, and sports executives alike. All data sets, extensive code, and additional examples are available for download at http://www.ftpress.com/martin/ What are the qualities a person must have to become a world-class athlete? This question and many more can be answered through research, measurement, statistics, and analytics. This book gives athletes, trainers, coaches, and managers a better understanding of measurement and analytics as they relate to sports performance. To develop accurate measures, we need to know what we want to measure and why. There is great power in accurate measures and statistics. Research findings can show us how to prevent injuries, evaluate strengths and weaknesses, improve team cohesion, and optimize sports performance. This book serves many readers. People involved with sports will gain an appreciation for performance measures and analytics. People involved with analytics will gain new insights into quantified values representing physical, physiological, and psychological components of sports performance. And students eager to learn about sports analytics will have a practical introduction to the field. This is a thorough introduction to performance measurement and analytics for five of the world’s leading sports. The only book of its kind, it offers a complete overview of the most important concepts, rules, measurements, and statistics for each sport, while demonstrating applications of real-world analytics. You’ll find practical, state-of-the-art guidance on predicting future outcomes, evaluating an athlete’s market value, and more.
Book Synopsis Sports Analytics by : Benjamin C. Alamar
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.
Book Synopsis Applied Sport Business Analytics by : Christopher Atwater
Download or read book Applied Sport Business Analytics written by Christopher Atwater and published by Human Kinetics. This book was released on 2022-03-17 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book addresses the fundamental use of analytical metrics to inform sport managers, framing sport analytics for practical use within organizations. The book is organized to present the background of sport analytics, why it is useful, selected techniques and tools employed, and its applications in sport organizations. The text guides the reader in selecting and communicating information in a useable format, and the translation of metrics in informing managers, guiding decisions, and maximizing efficiency in achieving desired outcomes"--
Book Synopsis Analyzing Baseball Data with R, Second Edition by : Max Marchi
Download or read book Analyzing Baseball Data with R, Second Edition written by Max Marchi and published by CRC Press. This book was released on 2018-11-19 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available online. New to the second edition are a systematic adoption of the tidyverse and incorporation of Statcast player tracking data (made available by Baseball Savant). All code from the first edition has been revised according to the principles of the tidyverse. Tidyverse packages, including dplyr, ggplot2, tidyr, purrr, and broom are emphasized throughout the book. Two entirely new chapters are made possible by the availability of Statcast data: one explores the notion of catcher framing ability, and the other uses launch angle and exit velocity to estimate the probability of a home run. Through the book’s various examples, you will learn about modern sabermetrics and how to conduct your own baseball analyses. Max Marchi is a Baseball Analytics Analyst for the Cleveland Indians. He was a regular contributor to The Hardball Times and Baseball Prospectus websites and previously consulted for other MLB clubs. Jim Albert is a Distinguished University Professor of statistics at Bowling Green State University. He has authored or coauthored several books including Curve Ball and Visualizing Baseball and was the editor of the Journal of Quantitative Analysis of Sports. Ben Baumer is an assistant professor of statistical & data sciences at Smith College. Previously a statistical analyst for the New York Mets, he is a co-author of The Sabermetric Revolution and Modern Data Science with R.
Book Synopsis Statistical Sports Models in Excel by : Andrew Mack
Download or read book Statistical Sports Models in Excel written by Andrew Mack and published by . This book was released on 2019-07-09 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: What does it take to create a winning sports betting model?Many people are interested in learning how to make smarter sports betting wagers. Not many of those same people are excited at the prospect of learning applied statistics to better inform their choices. You can't entirely blame them. Statistics has a well-earned reputation for being somewhat inaccessible by non-academics. It is a field filled with heavy terminology, confusing formulaic notation and concepts not fully relevant to the beginning sports bettor. To make matters worse, nobody in possession of a positive edge model is all that keen to show you how it works. As a result of this, sports modelling successfully requires a toolbox that you largely have to assemble for yourself. This book is my attempt to correct that, as I pull back the curtain on Excel spreadsheet models and techniques I developed in my first few years of sports betting. It is designed to give you an accessible crash course on modelling that will get you up to speed on the key relevant principles of statistics with a minimum amount of heavy technical jargon. You'll learn the most effective concepts in an easy-to-understand way and greatly speed up your learning curve in the process. Best of all, I'll walk you through sports betting models for many major sports: NFL, NBA, NHL, AFL and the English Premier League. You'll even be able to download these spreadsheet models and work your way through them while following this book.We'll be doing all of this in one of the most user friendly programs available: Excel. This program might not be the expert's first choice of platform for modelling work, but you'll be surprised just how much you can do with a spreadsheet or two.If you're ready to take your sports modelling to the next level - open this book, fire up Excel, and let's get to work. See you on the inside.
Download or read book Sport Analytics written by Gil Fried and published by Taylor & Francis. This book was released on 2016-11-10 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing availability of data has transformed the way sports are played, promoted and managed. This is the first textbook to explain how the big data revolution is having a profound influence across the sport industry, demonstrating how sport managers and business professionals can use analytical techniques to improve their professional practice. While other sports analytics books have focused on player performance data, this book shows how analytics can be applied to every functional area of sport business, from marketing and event management to finance and legal services. Drawing on research that spans the entire sport industry, it explains how data is influencing the most important decisions, from ticket sales and human resources to risk management and facility operations. Each chapter contains real world examples, industry profiles and extended case studies which are complimented by a companion website full of useful learning resources. Sport Analytics: A data-driven approach to sport business and management is an essential text for all sport management students and an invaluable reference for any sport management professional involved in operational research.
Book Synopsis Marketing Analysis in Sport Business by : Kevin K Byon
Download or read book Marketing Analysis in Sport Business written by Kevin K Byon and published by Taylor & Francis. This book was released on 2022-07-15 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores sport marketing analytics, an essential and crucially important aspect of contemporary sport business. Successful sport marketing begins and ends with the consumer, so understanding the consumer experience is critical. Marketing Analysis in Sport Business demonstrates how rigorous analytical procedures are the key to developing effective, evidence-based marketing practices that reflect real consumer needs. Presenting cutting-edge case studies of sport marketing analytics in action, the book explores topics such as digital communications, social media, digital ticketing, event marketing, the economic impact of COVID-19, developing sport brands, and conducting research with athletes and event participants. Written by a team of authors from 15 countries, including Australia, China, France, Iran, Italy, Japan, Mexico, New Zealand, Serbia, South Korea, Spain, Taiwan, the United Kingdom, the United States, and Venezuela, the book offers insight from a variety of cultural contexts and new perspectives on the global sport industry. Marketing Analysis in Sport Business is illuminating reading for any advanced student, researcher or professional working in sport business and management, sport development, marketing, strategic management, or international business.
Book Synopsis Statistical Modeling and Analysis for Complex Data Problems by : Pierre Duchesne
Download or read book Statistical Modeling and Analysis for Complex Data Problems written by Pierre Duchesne and published by Springer Science & Business Media. This book was released on 2005-12-05 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews some of today’s more complex problems, and reflects some of the important research directions in the field. Twenty-nine authors – largely from Montreal’s GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes – present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains.
Book Synopsis Analytic Methods in Sports by : Thomas A. Severini
Download or read book Analytic Methods in Sports written by Thomas A. Severini and published by CRC Press. This book was released on 2020-04-15 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the greatest changes in the sports world in the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, Second Edition provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. The book gives you all the tools necessary to answer key questions in sports analysis. It explains how to apply the methods to sports data and interpret the results, demonstrating that the analysis of sports data is often different from standard statistical analyses. The book integrates a large number of motivating sports examples throughout and offers guidance on computation and suggestions for further reading in each chapter. Features Covers numerous statistical procedures for analyzing data based on sports results Presents fundamental methods for describing and summarizing data Describes aspects of probability theory and basic statistical concepts that are necessary to understand and deal with the randomness inherent in sports data Explains the statistical reasoning underlying the methods Illustrates the methods using real data drawn from a wide variety of sports Offers many of the datasets on the author’s website, enabling you to replicate the analyses or conduct related analyses New to the Second Edition R code included for all calculations A new chapter discussing several more advanced methods, such as binary response models, random effects, multilevel models, spline methods, and principal components analysis, and more Exercises added to the end of each chapter, to enable use for courses and self-study
Book Synopsis Data Mining and Business Analytics with R by : Johannes Ledolter
Download or read book Data Mining and Business Analytics with R written by Johannes Ledolter and published by John Wiley & Sons. This book was released on 2013-05-28 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification. Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents: A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools Illustrations of how to use the outlined concepts in real-world situations Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials Numerous exercises to help readers with computing skills and deepen their understanding of the material Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.
Book Synopsis Sport Entrepreneurship by : Vanessa Ratten
Download or read book Sport Entrepreneurship written by Vanessa Ratten and published by Emerald Group Publishing. This book was released on 2020-08-25 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sport Entrepreneurship: An Economic, Social and Sustainability Perspective is about innovation, competitiveness and futuristic thinking. This work focuses on how digital technology is driving transformations in the sport industry, enabling readers to understand the shift in sport towards integrating more entrepreneurial activity.
Book Synopsis Modeling Techniques in Predictive Analytics by : Thomas W. Miller
Download or read book Modeling Techniques in Predictive Analytics written by Thomas W. Miller and published by Pearson Education. This book was released on 2015 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you're new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you're already a modeler, programmer, or manager, it will teach you crucial skills you don't yet have. This guide illuminates the discipline through realistic vignettes and intuitive data visualizations-not complex math. Thomas W. Miller, leader of Northwestern University's pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today's key applications for predictive analytics, delivering skills and knowledge to put models to work-and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively.
Book Synopsis Handbook of Statistical Methods and Analyses in Sports by : Jim Albert
Download or read book Handbook of Statistical Methods and Analyses in Sports written by Jim Albert and published by CRC Press. This book was released on 2017-02-03 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball, football, hockey, basketball, and soccer) followed by a section on other sports and general statistical design and analysis issues that are common to all sports. This handbook has the potential to become the standard reference for obtaining the necessary background to conduct serious statistical analyses for sports applications and to appreciate scholarly work in this expanding area.
