Visualizing Baseball

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A01=Jim Albert
advanced baseball statistics research
Author_Jim Albert
Base Hits
baseball analytics
baseball economics
Bat Speed
Batted Ball
Batting Average
Bradley Terry Model
Category=PBT
clutch performance metrics
Contact Rates
Curve Ball
Cy Young Award
data visualization in sports
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Exit Velocity
Hit Home Runs
Home Run Counts
Home Runs
Launch Angle
Mickey Mantle
MLB Ballpark
performance modeling
Pitch Types
Plate Appearances
quantitative methods in sports
R programming analysis
Run Scoring
Runs Expectancy
sabermetrics
Smoothing Curve
sports
sports data science
statistical graphics
Strikeout Rate
Swing Rates
Top Panel Plots
Walk Rates
Win Probability

Product details

  • ISBN 9781498782753
  • Weight: 249g
  • Dimensions: 138 x 216mm
  • Publication Date: 17 Aug 2017
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
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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.

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.    

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