Visualizing Baseball (ASA-CRC Series on Statistical Reasoning in Science and Society)

Albert, Jim

ISBN 10: 1498782752 / ISBN 13: 9781498782753

Published by Chapman and Hall/CRC, 2017

About this Item

Provides a visual exploration of the game of baseball. Graphical displays are used to see how measures of performance at the team and individual level have changed over the history of baseball. In near fine condition. I have around 75 baseball reference books and more than 2,500 baseball publications in stock. Discounts are available when you purchase multiple items on the same order. Seller Inventory # ABE-1721490520628

Bibliographic Details

Title: Visualizing Baseball (ASA-CRC Series on ...

Publisher: Chapman and Hall/CRC

Publication Date: 2017

Binding: Soft cover

Condition: Near Fine

Edition: 1st Edition

About this title

Synopsis:

Visualizing Baseball provides a visual exploration of the game of baseball. Graphical displays are used to show how measures of performance, at the team level and the individual level, have changed over the history of baseball. Graphs of career trajectories are helpful for understanding the rise and fall of individual performances of hitters and pitchers over time. One can measure the contribution of plays by the notion of runs expectancy. Graphs of runs expectancy are useful for understanding the importance of the game situation defined by the runners on base and number of outs. Also the runs measure can be used to quantify hitter and pitch counts and the win probabilities can be used to define the exciting plays during a baseball game. Special graphs are used to describe pitch data from the PitchFX system and batted ball data from the Statcast system. One can explore patterns of streaky performance and clutch play by the use of graphs, and special plots are used to predict final season batting averages based on data from the middle of the season.

This book was written for several types of readers. Many baseball fans should be interested in the topics of the chapters, especially those who are interested in learning more about the quantitative side of baseball. Many statistical ideas are illustrated and so the graphs and accompanying insights can help in promoting statistical literacy at many levels. From a practitioner’s perspective, the chapters offer many illustrations of the use of a modern graphics system and R scripts are available on an accompanying website to reproduce and potentially improve the graphs in this book.

About the Author:

Jim Albert is professor of statistics at Bowling Green State University. He is the author or editor of ten books, including Analyzing Baseball Data with R, Curve Ball, and the Handbook of Statistical Methods and Analyses in Sports.