# 21 Sport analytics

## 21.1 Basketball Data Science with Applications in R

By Paola Zuccolotto, Marica Manisera

Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an NBA player’s shots or doing an analysis of the impact of high pressure game situations on the probability of scoring, this book discusses a variety of case studies and hands-on examples using a custom R package. The codes are supplied so readers can reproduce the analyses themselves or create their own. Assuming a basic statistical knowledge, Basketball Data Science with R is suitable for students, technicians, coaches, data analysts and applied researchers.

paid ~$35

## 21.2 Exploring Baseball Data with R

Max Marchi, Jim Albert, Max Marchi, Jim Albert, Benjamin S. Baumer

This book introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis.

Paid product ~$50

## 21.3 Coding for sports analytics: get started resources

Given the lack of sport-focussed R books, I’ve added this colelction og blog posts.

https://brendankent.com/2020/09/15/coding-for-sports-analytics-resources-to-get-started/