Ted Kwartler - Sports Analytics in Practice with R

Ted Kwartler Harvard Extension School Adjunct, Faculty of Arts & Sciences Maynard, MA

This edition first published 2022

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Library of Congress Cataloging-in-Publication Data

Names: Kwartler, Ted, 1978- author.

Title: Sports analytics in practice with R / Ted Kwartler, Maynard, MA.

Description: First Edition. | Hoboken, NJ : John Wiley & Sons, Inc., 2022. | Includes bibliographical references and index. | Contents: Introduction to R -- Data Vizualization & Dashboards: Best practices -- Geospatial Data: Understanding changing baseball player behavior -- Machine Learning Basics: Modeling football draft patterns, pick number & clusters among athletes -- Logistic Regression: Explaining basketball wins & losses with coefficients -- Natual Language Processing: Understanding cricket fan topics & sentiment -- Linear Optimization: Programmatically seleting an optimal fantasy football lineup.

Identifiers: LCCN 2021042430 (print) | LCCN 2021042431 (ebook) | ISBN 9781119598077 (Hardback) | ISBN 9781119598060 (PDF) | ISBN 9781119598091 (ePub) | ISBN 9781119598084 (eBook)

Subjects: LCSH: Sports--Statistics. | Mathematical statistics--Computer programs. | R (Computer program language)

Classification: LCC GV706.8 .K85 2022 (print) | LCC GV706.8 (ebook) | DDC 796.02/1--dc23/eng/20211020

LC record available at https://lccn.loc.gov/2021042430LC ebook record available at https://lccn.loc.gov/2021042431

Cover image: © Lorado/Getty Images

Cover design by Wiley

Set in 9.5/12.5pt STIXTwoText by Integra Software Services Pvt. Ltd, Pondicherry, India

1 Cover

2 Title page Sports Analytics in Practice with R Ted Kwartler Harvard Extension School Adjunct, Faculty of Arts & Sciences Maynard, MA

3 Copyright

4 Preface

5 Author Biography

6 Foreword

7 1 Introduction to R

8 2 Data Visualization: Best Practices

9 3 Geospatial Data: Understanding Changing Baseball Player Behavior

10 4 Evaluating Players for the Football Draft

11 5 Logistic Regression: Explaining Basketball Wins and Losses with Coefficients

12 6 Gauging Fan Sentiment in Cricket

13 7 Gambling Optimization

14 8 Exploratory Data Analysis: Searching Data for Opponent Insights

15 Index

16 End User License Agreement

1 Chapter 1Figure 1.1 The relationship between base-R and R-studio.Figure 1.2 The R-Studio IDE console.Figure 1.3 The upper left R script with basic commands and comments.Figure 1.4 Showing the code execution on line 2 of...Figure 1.5 The basic scatter plot is instantiated in the...Figure 1.6 The renewed plot with an R object in the environment.Figure 1.7 The representation of the list with varying objects.Figure 1.8 As expected the more minutes a player...Figure 1.9 The Dallas team statistics represented...

2 Chapter 2Figure 2.1 The plots displayed with a path and...Figure 2.2 The “Nightingale Rose Diagram”...Figure 2.3 The original Nightingale Rose...Figure 2.4 The Nightingale data replotted as...Figure 2.5 The Tufte inspired...Figure 2.6 The Tufte inspired,...Figure 2.7 The basic bar chart showing the example...Figure 2.8 The side-by-side bar chart lets the use compare...Figure 2.9 The stacked bar chart demonstrating the overall difference...Figure 2.10 Since the tally of rowing...Figure 2.11 The proportional stacked bar...Figure 2.12 The swimmer data showing three dimensions of data in...Figure 2.13 An acceptable pie chart...Figure 2.14 The identical data...Figure 2.15 Even with many similar value...Figure 2.16 A complicated pie...Figure 2.17 A basic 3D bar chart example.Figure 2.18 An example ggplot baseball diamond.Figure 2.19 A basketball court with example assist data from Cleveland...Figure 2.20 A basic professional football...Figure 2.21 An example ` rbokeh...Figure 2.22 The ` echarts4r...

3 Chapter 3Figure 3.1 Conceptually demonstrating...Figure 3.2 Miguel Castro’s ERA which...Figure 3.3 The PNG export of the ` echarts4r` visual...Figure 3.4 Pitch type by year showing the changing...Figure 3.5 The JavaScript...Figure 3.6 A basic explanation...Figure 3.7 The box plots demonstrate an increasing velocity for “CH...Figure 3.8 A screenshot of the JavaScript box plots for...Figure 3.9 The pitch location heatmaps demonstrate...Figure 3.10 Miguel Castro’s...Figure 3.11 The faceted hexbin with JavaScript user tooltips.Figure 3.12 The year-over-year change in swing probability for the batter.Figure 3.13 The different hit locations by season.Figure 3.14 The proportion of hits by predefined zone...Figure 3.15 The comparison between...