A data model in R that predicts historical total season wins in the NFL

Data visualization project using NFL Elo Ratings provided by FiveThirtyEight

Practicing deployment methods and automation using data from nflfastr to generate regular graphs about the NFL.

An NFL team index ratings system. nflfastR play-by-play data is analysed to create team offensive and defensive statistics, such as Success Rate, Available Yards % and Expected Points Added per pla…

Calculating play-by-play win probabilities throughout NFL games using logistic regression and random forests.

own code using nflfastR to explore the logic behind the EP metric

Using the nflfastR package to create heatmaps for quarterbacks over the 2019 season

WIP Machine Learning Model for Football using the NFLFastR library

Some football research using stan and data from nflfastR

A set of functions to visualize National Football League analysis in 'ggplot2'

Logistic Regression using the nflfastR dataset to predict NFL Games

Analysis of new route data from nflfastR

Exercise to leverage re-sampling (bootstrapping) and Mixed Effects modeling for NFL analysis. Goal is to determine which factor is the most important in passing offense. Using nflfastR.

Random R scripts for cfbfastr and nflfastr

Short project following @BenBaldwin tutorial to explore sports analytics with R

Tutorials for NFLfastR and CFBscrapR

NFL Modelling Using nflfastR Data

Build off of nflfastR's Win Probability model to create a model for Cover Probability