Predictive modeling project to investigate when NFL teams should go for it on 4th down
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Updated
May 8, 2024 - R
Predictive modeling project to investigate when NFL teams should go for it on 4th down
A series of R scripts to clean and preprocces Football-Data.co.uk data.
A repository to hold code for plotting functions that make creating vizzes using ggplot2 easy.
A valuation model with OLS regression, for football players in Chinese (CFA) Super League, based on data from season 2023. Using https://github.com/JaseZiv/worldfootballR
Scrape and analyze FBREF data with kickR.
Data visualization project using NFL Elo Ratings provided by FiveThirtyEight
EDA of the data collected from the Fifa 21 game by EA SPORTS
Calculating play-by-play win probabilities throughout NFL games using logistic regression and random forests.
Wrapper for historical football data in R.
Modeling Premier League results 2015-16
Using a dimensional model, data warehouse, and Tableau I explored data from the College Scorecard and NCAA Division I FBS football games 🏈
A project to determine the centrality and closeness of a shot to goal.
Clustering event data (StatsBomb) using k-means algorithm in R.
Which statistical categories correlate best to win percentage in college football over the past ten seasons?
Code to create data visualizations specific to football using ggplot2.
historic data on European football (soccer) clubs' playing squads
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