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Author: Victor Holman Publisher: ISBN: 9781090457790 Category : Sports & Recreation Languages : en Pages : 310
Book Description
Sports Analytics From A to Z is written for non-mathematicians who love sports, are interested in sports analytics, but do not have the time, or desire to learn complex algorithms or processes within the various statistical methods. Sports Analytics Expert and Consultant Victor Holman provides a range of sports analytics methods in a manner that the average reader can understand their concepts and more importantly, how the concepts have been applied and leveraged in the sports world by some of today's leading innovators in sports analytics. While the reader won't walk away from this book understanding how to execute or program these sports analytics methods, they will walk away with countless new ideas for how analytics can be leveraged to gather new insight into data. This sports analytics book is unique in that it identifies numerous sports analytics methods, it's alphabetically arranged, it outlines primary and secondary sports analytics methods applied in various research papers. Reading each of the research articles, and the sports analytics methods applied when performing the research will help the reader understand which statistical tool to use to approach their analytic challenges.About Victor HolmanVictor Holman is a sports analytics and performance expert, management consultant and author. His thought leadership in business performance, sports performance and process improvement has been demonstrated in several books, frameworks and products he has published over the last 15 years. Victor has served as a performance expert, data and enterprise systems project manager and management consultant to over 100 organizations, including Fortune 500 companies and Federal Agencies. He's been featured in major television, radio and print media outlets for his ability to help small businesses outperform their competition by applying strategies, frameworks and management tools. And Victor is applying these same concepts to sports management and sports analytics. Victor believes that like small businesses, less talented sports programs can level the playing field by applying sports analytics methods that transcends their analytics programs beyond management decision making and into quantitative results delivered by the players. He also believes that to make a team function at optimal performance, it's critical that game data is gathered, analyzed and translated into value that can be easily measured and delivered by its players. Victor helps teams figure out how to apply their data and existing analytics systems to help players measure value, increase IQ and create synergy using his Agile Sports Analytics Framework. Victor authored the Agile Sports Analytics Book, which outlines the step by step process for getting players to execute the coach's strategy through an award system that measures player's ability to adapt their games to the team strategy and measures their contribution to wins.Victor developed the Agile Sports Analytics application, which provides the tools and drives the processes of the Sports Analytics Framework.Victor was recently recognized by Feedspot as the #2 sports analytics blog. His blog provides the latest strategies to help coaches, analysts and management improve the IQ, team dynamics & execution of their players. His blog also provides insight into all of the various statistical methods applied in sports analytics along with the key innovators and researchers who continue to push the sports analytics envelope. His blog posts are the foundation of this book. Victor developed the Sports Analytics Maturity Model, which outlines five phases, seven key success areas, 26 best practices and 130 key processes for sports programs looking to gain a competitive edge across all aspects of the program. To learn more about how Victor Holman can help your team leverage analytics to gain a competitive advantage, contact him at [email protected] or (888) 861-8733.
Author: Victor Holman Publisher: ISBN: 9781090457790 Category : Sports & Recreation Languages : en Pages : 310
Book Description
Sports Analytics From A to Z is written for non-mathematicians who love sports, are interested in sports analytics, but do not have the time, or desire to learn complex algorithms or processes within the various statistical methods. Sports Analytics Expert and Consultant Victor Holman provides a range of sports analytics methods in a manner that the average reader can understand their concepts and more importantly, how the concepts have been applied and leveraged in the sports world by some of today's leading innovators in sports analytics. While the reader won't walk away from this book understanding how to execute or program these sports analytics methods, they will walk away with countless new ideas for how analytics can be leveraged to gather new insight into data. This sports analytics book is unique in that it identifies numerous sports analytics methods, it's alphabetically arranged, it outlines primary and secondary sports analytics methods applied in various research papers. Reading each of the research articles, and the sports analytics methods applied when performing the research will help the reader understand which statistical tool to use to approach their analytic challenges.About Victor HolmanVictor Holman is a sports analytics and performance expert, management consultant and author. His thought leadership in business performance, sports performance and process improvement has been demonstrated in several books, frameworks and products he has published over the last 15 years. Victor has served as a performance expert, data and enterprise systems project manager and management consultant to over 100 organizations, including Fortune 500 companies and Federal Agencies. He's been featured in major television, radio and print media outlets for his ability to help small businesses outperform their competition by applying strategies, frameworks and management tools. And Victor is applying these same concepts to sports management and sports analytics. Victor believes that like small businesses, less talented sports programs can level the playing field by applying sports analytics methods that transcends their analytics programs beyond management decision making and into quantitative results delivered by the players. He also believes that to make a team function at optimal performance, it's critical that game data is gathered, analyzed and translated into value that can be easily measured and delivered by its players. Victor helps teams figure out how to apply their data and existing analytics systems to help players measure value, increase IQ and create synergy using his Agile Sports Analytics Framework. Victor authored the Agile Sports Analytics Book, which outlines the step by step process for getting players to execute the coach's strategy through an award system that measures player's ability to adapt their games to the team strategy and measures their contribution to wins.Victor developed the Agile Sports Analytics application, which provides the tools and drives the processes of the Sports Analytics Framework.Victor was recently recognized by Feedspot as the #2 sports analytics blog. His blog provides the latest strategies to help coaches, analysts and management improve the IQ, team dynamics & execution of their players. His blog also provides insight into all of the various statistical methods applied in sports analytics along with the key innovators and researchers who continue to push the sports analytics envelope. His blog posts are the foundation of this book. Victor developed the Sports Analytics Maturity Model, which outlines five phases, seven key success areas, 26 best practices and 130 key processes for sports programs looking to gain a competitive edge across all aspects of the program. To learn more about how Victor Holman can help your team leverage analytics to gain a competitive advantage, contact him at [email protected] or (888) 861-8733.
Author: Thomas W. Miller Publisher: FT Press ISBN: 0133887413 Category : Business & Economics Languages : en Pages : 576
Book Description
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.
Author: Leonard C Maclean Publisher: World Scientific ISBN: 9811250227 Category : Business & Economics Languages : en Pages : 587
Book Description
This book is a collection of applications of analytic techniques to a number of popular sports including baseball, basketball, hockey, Jai Alai, NFL football and horseracing. We focus on both the statistics of the sporting events and betting strategies on the events. The subject is fascinating as there are many twists and subtle complicated decisions.Sports analytics applies mathematical and statistical methods to important questions in the structure and performance of sporting activities using the same basic methods and approaches as data analysts in other disciplines.Sports games and events are a fruitful area for study and to evaluate betting strategies as there is extensive data and mean reversion. With prices changing continuously, risk arbitrage bets can be made. Moreover, little errors, like a penalty to a player or an error in a call by a referee, can change the score of a game and corresponding betting prices. The collection and analysis of in-game data can inform players, coaches and staff on effective decision making during sporting events.Novel features of the book include: an analysis of who were the greatest baseball batters; analyses of the players most important to team success (and they are not necessarily the best players) in basketball, NFL football and hockey; a tutorial on risk arbitrage and its applications to NFL football and NBA basketball; a discussion of many ad hoc decision rules by coaches and players and what was really optimal; in the racing section we discuss breeding, the analysis of various bets like the Rainbow and ordinary Pick 6, a discussion and betting on the most important races and a visit to the Breeders' Cup with Ed Thorp to demonstrate the place and show system in action.
Author: Ambikesh Jayal Publisher: Routledge ISBN: 1351838962 Category : Sports & Recreation Languages : en Pages : 272
Book Description
As the analysis of big datasets in sports performance becomes a more entrenched part of the sporting landscape, so the value of sport scientists and analysts with formal training in data analytics grows. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance provides the most authoritative and comprehensive guide to the use of analytics in sport and its application in sports performance, coaching, talent identification and sports medicine available. Employing an approach-based structure and integrating problem-based learning throughout the text, the book clearly defines the difference between analytics and analysis and goes on to explain and illustrate methods including: Interactive visualisation Simulation and modelling Geospatial data analysis Spatiotemporal analysis Machine learning Genomic data analysis Social network analysis Offering a mixed-methods case study chapter, no other book offers the same level of scientific grounding or practical application in sports data analytics. Sports Analytics is essential reading for all students of sports analytics, and useful supplementary reading for students and professionals in talent identification and development, sports performance analysis, sports medicine and applied computer science.
Author: Thomas A. Severini Publisher: CRC Press ISBN: 1000050947 Category : Mathematics Languages : en Pages : 327
Book Description
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
Author: Gil Fried Publisher: Routledge ISBN: 1317212878 Category : Business & Economics Languages : en Pages : 345
Book Description
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.
Author: Christopher Atwater Publisher: Human Kinetics ISBN: 1492598550 Category : Sports & Recreation Languages : en Pages : 0
Book Description
Applied Sport Business Analytics With HKPropel Access provides a practical explanation of the use of data analytic metrics in sport, exploring selected techniques and tools as well as addressing fundamental applications of analytics within modern sports organizations. Current and aspiring sport managers will develop their understanding of how analytics can be used strategically to make data-informed decisions by selecting and translating data into evidence and meaningful metrics. The text begins with an introduction to the world of analytics, exploring the social, economic, and business foundations that form the history of data analytics. Different strategies used to make data-driven decisions are discussed to demonstrate the importance of analytics in a modern sport context. The text explains terms and methods that are typical in sport analytics, bridging the gap between sport managers and sport analysts to help them understand the perceptions and needs of one another. The text’s focus on quantitative statistical analysis—with its exploration of modeling, predictive analytics, and forecasting—helps students learn how to analyze data and make use of it. Students will then learn to turn data into visual representations such as cluster diagrams to reveal clear results. With practical exercises that utilize five included datasets and are heavily support by related video tutorials delivered through HKPropel, even those without programming experience will learn how to program and transform complex statistical data into easy-to-understand visuals. Case studies exploring real-world scenarios—including player position analysis in women's professional basketball, esport player popularity and market analysis, and prospective player evaluation for the NFL draft—examine managerial implications to help develop understanding of what questions to ask, how to interpret data, and how to use data to make informed decisions. Finally, an in-depth look at how cutting-edge analytics mechanisms were used to analyze over one million tweets associated with the NBA over an entire season will illustrate how to successfully work with large amounts of data to achieve results. Concepts throughout the book are made easy to understand through exercises, datasets, and video lectures on key topics, all accessible through HKPropel. These tools combine to provide valuable experience and practical understanding. Interview With a Professional sidebars offer additional real-world glimpses into the use of analytics by practitioners in sport business. Applied Sport Business Analytics will provide a broader and deeper knowledge of the use of sport analytics for aspiring sport managers, data analysts, and practitioners alike. It will prepare them to translate metrics in a useful way that allows them to make data-informed and data-driven decisions to achieve desired outcomes in their organization. Note: A code for accessing HKPropel is not included with this ebook but may be purchased separately.
Author: Thomas A Severini Publisher: CRC Press ISBN: 1000050904 Category : Mathematics Languages : en Pages : 373
Book Description
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 Full solutions manual available to course instructors.
Author: Thomas Alan Severini Publisher: ISBN: 9781000050929 Category : MATHEMATICS Languages : en Pages : 355
Book Description
"Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, 2nd Edition provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. 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"--
Author: Josh Tabor Publisher: Macmillan ISBN: 1429274379 Category : Juvenile Nonfiction Languages : en Pages : 709
Book Description
Offering a unique and powerful way to introduce the principles of statistical reasoning, Statistical Reasoning in Sports features engaging examples and a student-friendly approach. Starting from the very first chapter, students are able to ask questions, collect and analyze data, and draw conclusions using randomization tests. Is it harder to shoot free throws with distractions? We explore this question by designing an experiment, collecting the data, and using a hands-on simulation to analyze results. Completely covering the Common Core Standards for Probability and Statistics, Statistical Reasoning in Sports is an accessible and fun way to learn about statistics!
Author: Victor Holman
Author: Victor Holman
Author: Thomas W. Miller
Author: Leonard C Maclean
Author: Ambikesh Jayal
Author: Thomas A. Severini
Author: Gil Fried
Author: Christopher Atwater
Author: Thomas A Severini
Author: Thomas Alan Severini
Author: Josh Tabor