Description
Book SynopsisSports Analytics in Practice with R A practical guide for those looking to employ the latest and leading analytical software in sport In the last twenty years, sports organizations have become a data-driven business. Before this, most decisions in sports were qualitatively driven by subject-matter experts. In the years since numerous teams found success with Money Ball analytical perspectives, the industry has sought to advance its analytical acumen to improve on- and off-field outcomes. The increasing demand for data to inform decisions for coaches, scouts, and players before and during sporting events has led to intriguing efforts to build upon this quantitative approach. As this methodology for assessing performance has matured and grown in importance, so too has the open-source R software emerged as one of the leading analytical software packages. In fact, R is a top 10 programming language that is useful in academia and industry for statistics, machine learning, and rapid prototy
Table of ContentsPreface vii
Author Biography ix
Foreword xii
1 Introduction to R 1
2 Data Visualization: Best Practices 25
3 Geospatial Data: Understanding Changing Baseball Player Behavior 55
4 Evaluating Players for the Football Draft 91
5 Logistic Regression: Explaining Basketball Wins and Losses with Coefficients 133
6 Gauging Fan Sentiment in Cricket 155
7 Gambling Optimization 191
8 Exploratory Data Analysis: Searching Data for Opponent Insights 227
Index 253
