This is a thorough introduction to performance measurement and analytics for five major sports: football, soccer, baseball, basketball, and tennis. The only book of its kind, it provides a comprehensive overview of the most important concepts, rules, measurements, and statistics for each sport, while demonstrating real-world analytics applications for all of them.
Author Lorena Martin is singularly well-qualified to write this guide. A lifelong athlete, she brings a combination of expertise in applied behavioral science, quantitative methodologies, and exercise physiology. Reflecting all this expertise, she discusses the rules of each game, shows how to think critically about athletic performance assessment, and helps you interpret statistical models in sports. You’ll find practical, state-of-the-art guidance on predicting future outcomes, evaluating an athlete’s market value, assessing draft picks, and much more.
All example applications in Sports Performance Measurement and Analytics build on open source programs, measurements, sports datasets, applied statistics, sports performance research, and predictive modeling work.
Designed to meet the rapidly growing demand for sports data science in colleges and universities, this guide will appeal to everyone concerned with sports performance and analytics: students, teachers, sports analysts, physiologists, coaches, managers, general managers, and sophisticated fans.
LORENA MARTIN is an applied behavioral scientist, quantitative methodologist, and exercise physiologist. She specializes in the use of statistical methods in health behaviors, epidemiology, and sports.
Dr. Martin is an active researcher and analyst in health and exercise physiology, where she makes extensive use of both traditional explanatory methods and predictive models. She is also a former tennis player who competed at the collegiate and professional levels.
An experienced professor of statistics and avid user of the R software environment, she holds a doctorate in exercise physiology from the University of Miami. Lorena Martin is also a faculty professor of statistics and sports performance measurement and analytics at Northwestern University.
Consulting Editor THOMAS W. MILLER is faculty director of the Predictive Analytics program at Northwestern University, and author of several books in the Modeling Techniques in Predictive Analytics series, including Marketing Data Science; Web and Network Data Science; and Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science. He is also author of two books on sports analytics, including this book’s companion volume, Sports Analytics and Data Science: Winning the Game with Methods and Models.
Find additional content and tools at http://www.ftpress.com/martin.
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