Hi there and welcome to my public profile!

My name is Jason, and I'm a Data Scientist at the Reece Group. I now find myself doing less on "the tools" and more in the leadership space, so my personal projects are a nice way to keep some of my technical skills sharp!

• worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
• chessR - An R package designed to extract and analyse chess game data played on Lichess and chess.com
• nblR - To quickly and efficiently load Australian basketball statistics from the NBL
• euroleagueR - To quickly and efficiently load Euroleague basketball statistics
• bettRtab - An R client to interact with the API of Australian betting company TAB

• fitzRoy

• NBL Win Probability - In-game win probability for the Australian National Basketball League (NBL)
• Expected vs Actual Season Performance for the Big Five Euro Leagues

Getting started with R and worldfootballR

This post takes the reader on the steps necessary to download and install R and worldfootballR and get started with no coding experience: https://www.dontblamethedata.com/blog/extract-data-using-worldfootballr/

Rating the Difficulty of the Big 3’s Grand Slam Wins

This post uses Elo ratings to understand the difficulty of each of the Big 3's grand slam wins: https://www.dontblamethedata.com/blog/big3-grand-slam-difficulty/

Predicting AFL crowd attendance

A post pre-COVID that attempted to predict the size of AFL crowds: https://www.dontblamethedata.com/blog/building-a-linear-regression-model-in-r-to-predict-afl-crowds/

Finding the AFL 'Bandwagon supporters' teams

A tongue-in-cheek attempt to quantify the term 'bandwagon jumpers' of team supporters in the AFL: https://www.dontblamethedata.com/blog/using-data-to-determine-which-afl-fans-jump-onthe-bandwagon/