Take your understanding of tennis to the next level with the power of data. Mastering Tennis Analytics with R is a complete guide to analyzing match performance, player behavior, and game strategy using the R programming language.
This book is ideal for players, coaches, analysts, and data science students looking to apply advanced analytics in a real-world sports context. With step-by-step tutorials and real tennis datasets, you’ll learn how to turn raw data into actionable insight.
📊 What You’ll Learn:
✅ Clean and structure tennis match data
✅ Calculate key stats: serve percentage, break points, unforced errors, rally length
✅ Visualize player performance over time or across surfaces
✅ Compare opponents and identify tactical trends
✅ Build predictive models for match outcomes
✅ Create dashboards using ggplot2 and tidyverse
👥 Ideal For:
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Tennis coaches and players aiming to optimize performance
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Sports analysts working in tennis performance tracking
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Data scientists and R learners seeking practical sports applications
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Fans of tennis and stats who want to go deeper into the numbers
📦 What’s Inside:
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78 pages of hands-on content and visual examples
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Fully annotated R code and data workflows
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Match case studies and player comparison models
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Tools for analysis, visualization, and tactical planning
Mastering Tennis Analytics with R empowers you to understand the game with clarity, logic, and precision. Whether you’re on the court or behind the keyboard, this guide is your match-winning advantage.
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