Reading Time: 10 minutes This is an update to last year’s web scraping tutorial. I focus on getting data from my beloved fbref.com for Manchester City, the English Premier League 2021-22 champions. This guide uses R programming.
Category: R Tutorial
NBA Analytics Tutorial: Using R to Display Player Career Stats
Reading Time: 13 minutes It’s time for another basketball analytics tutorial! This is for beginners and intermediate sports analytics enthusiasts. I will show you how to extract and prepare NBA data from basketball-reference.com and create a graph with a player’s career stats.
NBA Analytics Tutorial – Part 1: Using R to Analyze the Chicago Bulls’ Last Dance
Reading Time: 18 minutes It’s time for basketball analytics, folks, with a focus on the NBA! This tutorial is for beginners and intermediate sports analytics enthusiasts. I will show you how to extract and prepare NBA data, create basic plots, and run two clustering algorithms.
10 Steps to Get Started in Sports Analytics in 2022
Reading Time: 12 minutes Throughout the article below, I go through my approach of how to become great in the four pillars of a sports analytics expert: Communication, Statistics, Programming, and Sports Knowledge.
Soccer Analytics for Beginners: An R Tutorial on EURO 2020 Data – Web Scraping & Radar Plots
Reading Time: 12 minutes Bill K from SweepSportsAnalytics.com presents Soccer Analytics for Beginners: An R Tutorial with EURO 2020 Data – Web Scraping & Radar Plots.
Step 1: Download R Studio
Step 2: Install packages
Step 3: Load libraries
Step 4: Read fbref.com URLs
Step 5: Read a single pair of tables for a single game
Step 6: Read all tables for all games
Step 7: Create summary data frame
Step 8: Select players
Step 9: Create the radar plots
Step 10: Make the graph presentable
Step 11: Interpret the graph