Business & Economics

Sports Analytics

Author: Benjamin Alamar

Publisher: Columbia University Press

ISBN:

Category: Business & Economics

Page: 160

View: 337

A pioneer of sports data analysis synthesizes data-management tools, analytic models, information systems, and strategic decision-making practices to help a variety of organizations improve their game.
Athletic ability

Sports Analytics

Author: Ambikesh Jayal

Publisher: Routledge Studies in Sports Performance Analysis

ISBN:

Category: Athletic ability

Page: 255

View: 681

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.
Sports & Recreation

Sports Analytics

Author: Ambikesh Jayal

Publisher: Routledge

ISBN:

Category: Sports & Recreation

Page: 272

View: 836

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.

Sports Analytics

Author: Gil Fried

Publisher: Routledge

ISBN:

Category:

Page: 256

View: 504

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 managementis an essential text for all sport management students and an invaluable reference for any sport management professional involved in operational research.
Business & Economics

Sport Analytics

Author: Gil Fried

Publisher: Routledge

ISBN:

Category: Business & Economics

Page: 256

View: 984

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.
Sports & Recreation

Complex Sport Analytics

Author: Felix Lebed

Publisher: Routledge

ISBN:

Category: Sports & Recreation

Page: 298

View: 534

This book is the first to combine principles from analytics, complex systems theory, multi-disciplinary diagnostics and sport performance analysis. It considers athletes, teams, and sport organizations in individual and team games as complex systems, and demonstrates how complexity studies can enrich analytics and give us a more sophisticated understanding of the causalities of winning and losing in sports. Part I introduces the basic categories of analytics and their uses in elite sport. Part II presents an original conception of sport analytics both as a complex of different kinds of processes and as a complexity-adapted view of human systems acting in sport performance and management. Part III considers the main principles of complex sport analytics, expanding the prism of complexity to include all levels of a sport organization from athletes, coaches and trainers to top decision makers, and suggests practical applications and simulations for cases of both individual and team sports. This is illuminating reading for any advanced student, researcher or practitioner working in sport analytics, performance analysis, coaching science or sport management.
Sports & Recreation

Sports Analytics

Author: Benjamin C. Alamar

Publisher: Columbia University Press

ISBN:

Category: Sports & Recreation

Page: 152

View: 227

Benjamin C. Alamar founded the first journal dedicated to sports statistics, the Journal of Quantitative Analysis in Sports. He developed and teaches a class on sports analytics for managers at the University of San Francisco and has published numerous cutting-edge studies on strategy and player evaluation. Today, he cochairs the sports statistics section of the International Statistics Institute and consults with several professional teams and businesses in sports analytics. There isn't a better representative of this emerging field to show diverse organizations how to implement analytics into their decision-making strategies, especially as analytic tools grow increasingly complex. Alamar provides a clear, easily digestible survey of the practice and a detailed understanding of analytics' vast possibilities. He explains how to evaluate different programs and put them to use. Using concrete examples from professional sports teams and case studies demonstrating the use and value of analytics in the field, Alamar designs a roadmap for managers, general managers, and other professionals as they build their own programs and teach their approach to others.
Computers

Machine Learning and Data Mining for Sports Analytics

Author: Ulf Brefeld

Publisher: Springer

ISBN:

Category: Computers

Page: 179

View: 786

This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018. The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer.
Sports & Recreation

Complex Sport Analytics

Author: Felix Lebed

Publisher: Taylor & Francis

ISBN:

Category: Sports & Recreation

Page: 298

View: 846

This book is the first to combine principles from analytics, complex systems theory, multi-disciplinary diagnostics and sport performance analysis. It considers athletes, teams, and sport organizations in individual and team games as complex systems, and demonstrates how complexity studies can enrich analytics and give us a more sophisticated understanding of the causalities of winning and losing in sports. Part I introduces the basic categories of analytics and their uses in elite sport. Part II presents an original conception of sport analytics both as a complex of different kinds of processes and as a complexity-adapted view of human systems acting in sport performance and management. Part III considers the main principles of complex sport analytics, expanding the prism of complexity to include all levels of a sport organization from athletes, coaches and trainers to top decision makers, and suggests practical applications and simulations for cases of both individual and team sports. This is illuminating reading for any advanced student, researcher or practitioner working in sport analytics, performance analysis, coaching science or sport management.
Business & Economics

Sport Analytics

Author: Gil Fried

Publisher: Taylor & Francis

ISBN:

Category: Business & Economics

Page: 256

View: 634

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.
Business & Economics

Statistical Modelling and Sports Business Analytics

Author: Vanessa Ratten

Publisher: Routledge

ISBN:

Category: Business & Economics

Page: 176

View: 888

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.
Computers

Sports Analytics and Data Science

Author: Thomas W. Miller

Publisher: FT Press

ISBN:

Category: Computers

Page: 225

View: 649

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.
Computers

Sport Business Analytics

Author: C. Keith Harrison

Publisher: CRC Press

ISBN:

Category: Computers

Page: 236

View: 576

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.

Sports Analytics

Author: Gerardus Blokdyk

Publisher: Createspace Independent Publishing Platform

ISBN:

Category:

Page: 138

View: 880

Who sets the Sports analytics standards? What are your results for key measures or indicators of the accomplishment of your Sports analytics strategy and action plans, including building and strengthening core competencies? Is the Sports analytics scope manageable? What is the total cost related to deploying Sports analytics, including any consulting or professional services? Have all basic functions of Sports analytics been defined? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Sports analytics investments work better. This Sports analytics All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Sports analytics Self-Assessment. Featuring new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Sports analytics improvements can be made. In using the questions you will be better able to: - diagnose Sports analytics projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Sports analytics and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Sports analytics Scorecard, you will develop a clear picture of which Sports analytics areas need attention. Your purchase includes access details to the Sports analytics self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Computers

Data Analytics in Professional Soccer

Author: Daniel Link

Publisher: Springer

ISBN:

Category: Computers

Page: 123

View: 741

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.
Mathematics

Social Network Analysis Applied to Team Sports Analysis

Author: Filipe Manuel Clemente

Publisher: Springer

ISBN:

Category: Mathematics

Page: 93

View: 686

Explaining how graph theory and social network analysis can be applied to team sports analysis, This book presents useful approaches, models and methods that can be used to characterise the overall properties of team networks and identify the prominence of each team player. Exploring the different possible network metrics that can be utilised in sports analysis, their possible applications and variances from situation to situation, the respective chapters present an array of illustrative case studies. Identifying the general concepts of social network analysis and network centrality metrics, readers are shown how to generate a methodological protocol for data collection. As such, the book provides a valuable resource for students of the sport sciences, sports engineering, applied computation and the social sciences.
Sports & Recreation

Sports Analytics from A to Z: Methods, Definitions and Real-Life Applications

Author: Victor Holman

Publisher:

ISBN:

Category: Sports & Recreation

Page: 310

View: 689

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.
Business & Economics

Winning with Data in the Business of Sports

Author: Fiona Green

Publisher: Routledge

ISBN:

Category: Business & Economics

Page: 244

View: 514

New technologies mean that sports clubs and governing bodies are generating more data than ever to help manage their relationship with fans, their performance, and their income streams. This new edition of Winning with Data in the Business of Sports explains how to acquire, store, maintain, and use data in the most effective ways. The key developments are three-fold: new technology, new understanding of how to apply that technology, and the new laws informing and controlling the data that can be generated from the technology. Important developments that have occurred since the publication of the first edition include the General Data Protection Regulations (GDPR) and the COVID-19 pandemic. With a focus on these unique challenges coupled with the opportunities the use of data creates, this book is essential reading for professionals within the sports industry. This second edition includes: - An introduction to new technologies, the data they generate, and the supporting processes we need to have in place to use them. - Brand new case studies with recent examples of creative applications from clubs, teams, leagues, and governing bodies, including Arsenal, AS Roma, ICC Cricket World Cup, LA Kings, Portland Trail Blazers, and UEFA. - The sports industry’s response to tighter data legislation introduced primarily though the GDPR. - The role of data and direct engagement during the COVID-19 pandemic. The book provides clear guidance and knowledge that sports industry professionals need to understand the role of data for the business side of sports. It is essential reading for sports clubs, governing bodies and those working in sports marketing, media and communications, sponsorship, merchandise, ticketing, events, and participation development. The book will also be of interest to students of sports management.
Business & Economics

Understanding Sport Organizations

Author: Trevor Slack

Publisher: Human Kinetics Publishers

ISBN:

Category: Business & Economics

Page: 536

View: 938

Understanding Sport Organizations provides a strong foundation in organizational theory and organizational behavior and addresses how that theory is applied in a real-world context. It engages readers by providing opportunities to discover the theory in practice.