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Soccer/football analytics blog posts & data viz from the World Cup, Premier League, Copa America, and beyond. Using ggplot2, ggsoccer, & more. (Est. June 2018) ****Please look at the README for best version of the code!****
This project uses Expected Goals (xG) data and squad quality ratings within an elo-based Monte Carlo model to predict final standings in 7 major European soccer leagues and the UEFA Champions League.
Repository designed to work with data from the Premier League. It is used as both a personal self-study as well as a tool to fetch, analyze and model performance metrics to maximize returns in a returns-based game called Fantasy Premier League (FPL).