Discover the power of R in the world of sports analytics with this all-in-one guide. Sports Analytics with R covers six major sports and teaches you how to analyze performance, visualize data, and build predictive models using real match data and the R programming language.
Whether you’re a coach, data scientist, student, or sports analyst, this book offers a unique and practical journey through multi-sport performance analysis.
📊 What You’ll Learn:
✅ Clean, merge, and visualize datasets across different sports
✅ Use advanced statistics and sabermetrics in baseball and basketball
✅ Compare players and matches in tennis, golf, and MMA
✅ Apply predictive models to forecast outcomes
✅ Build dashboards using R, ggplot2, and tidyverse
✅ Gain real-world skills for sports data jobs or academic projects
🧠 Who It’s For:
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Sports analysts working across disciplines
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Students and researchers in sports science or data analytics
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Coaches and trainers looking to improve performance
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Fans and enthusiasts who want deeper statistical insights
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R learners seeking hands-on practice in multiple domains
📦 What’s Inside:
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68+ pages of content with R code and visualizations
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Real-world examples from NBA, MLB, ATP/WTA, PGA, UFC, and more
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Ready-to-use scripts for each sport
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Exercises and walkthroughs for applied learning
With Sports Analytics with R, you don’t just learn theory—you build projects, analyze real competitions, and explore the stories that data reveals behind every play.
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