A set of functions to access National Football League play-by-play data from <https://www.nfl.com/>.

This package allows data driven sports enthusiasts to use the NFL JSON API data to perform detailed analysis at game, season, and player levels. The functions within this package help parse and clean the data from NFL.com for R users. This package was built to enhance advanced sports analytics research specifically for American football with the hopes of developing metrics and insights that could potentially be useful for professional NFL teams as well as the public.

easily stream StatsBomb data into Python

Provides tools to visualise x,y-coordinates of soccer players and event data (e.g. passes, shots). Uses ggplot to draw soccer pitch and overplot expected goal maps, pass maps, average player positions, player heatmaps, individual player paths, player flow fields, and more.

A library to manage and update NFL data in a relational database.

Python wrapper for the collegefootballapi located here: https://api.collegefootballdata.com/api/docs/?url=/api-docs.json#/

A python client to get football news

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!****

An R package for working with College Football Data. It is an R API wrapper around <https://collegefootballdata.com/> made available by the cfbscrapR team. It provides users the capability to access a plethora of endpoints, and supplement that data with additional information (Expected Points Added/Win Probability added).

Code to scrape play-by-play data from the XFL website and reshape data into more useful columns for public analysis

Main use case is to collect ESPN QBR for NFL and college football. Alternative functions include getting NFL standings and scraping NFL season-level stats.

Python package for loading nflfastR play by play data

A set of functions to simulate National Football League seasons including the sophisticated tie-breaking procedures.

Make beautiful plots of player tracking data

A minimal package for downloading data from 'GitHub' repositories of the 'nflverse' project.

Retrieve Sports data in Python

A set of functions to enable users to extract chess game data from popular chess sites, including 'Lichess'<https://lichess.org/> and 'Chess.com' <https://www.chess.com/> and then perform analysis on that game data.

A set of functions to visualize National Football League analysis in 'ggplot2' plots and 'gt' tables.

python library for interacting with NFL data sourced from nflfastR

A set of functions to access National Football League play-by-play data from <https://www.nfl.com/>.

This package allows data driven sports enthusiasts to use the NFL JSON API data to perform detailed analysis at game, season, and player levels. The functions within this package help parse and clean the data from NFL.com for R users. This package was built to enhance advanced sports analytics research specifically for American football with the hopes of developing metrics and insights that could potentially be useful for professional NFL teams as well as the public.

easily stream StatsBomb data into Python

Provides tools to visualise x,y-coordinates of soccer players and event data (e.g. passes, shots). Uses ggplot to draw soccer pitch and overplot expected goal maps, pass maps, average player positions, player heatmaps, individual player paths, player flow fields, and more.

A library to manage and update NFL data in a relational database.

Python wrapper for the collegefootballapi located here: https://api.collegefootballdata.com/api/docs/?url=/api-docs.json#/

A python client to get football news

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!****

An R package for working with College Football Data. It is an R API wrapper around <https://collegefootballdata.com/> made available by the cfbscrapR team. It provides users the capability to access a plethora of endpoints, and supplement that data with additional information (Expected Points Added/Win Probability added).

Code to scrape play-by-play data from the XFL website and reshape data into more useful columns for public analysis

Main use case is to collect ESPN QBR for NFL and college football. Alternative functions include getting NFL standings and scraping NFL season-level stats.

Python package for loading nflfastR play by play data

A set of functions to simulate National Football League seasons including the sophisticated tie-breaking procedures.

Make beautiful plots of player tracking data

A minimal package for downloading data from 'GitHub' repositories of the 'nflverse' project.

Retrieve Sports data in Python

A set of functions to enable users to extract chess game data from popular chess sites, including 'Lichess'<https://lichess.org/> and 'Chess.com' <https://www.chess.com/> and then perform analysis on that game data.

A set of functions to visualize National Football League analysis in 'ggplot2' plots and 'gt' tables.

python library for interacting with NFL data sourced from nflfastR

A set of functions to access National Football League play-by-play data from <https://www.nfl.com/>.

This package allows data driven sports enthusiasts to use the NFL JSON API data to perform detailed analysis at game, season, and player levels. The functions within this package help parse and clean the data from NFL.com for R users. This package was built to enhance advanced sports analytics research specifically for American football with the hopes of developing metrics and insights that could potentially be useful for professional NFL teams as well as the public.

easily stream StatsBomb data into Python

Provides tools to visualise x,y-coordinates of soccer players and event data (e.g. passes, shots). Uses ggplot to draw soccer pitch and overplot expected goal maps, pass maps, average player positions, player heatmaps, individual player paths, player flow fields, and more.

A library to manage and update NFL data in a relational database.

Python wrapper for the collegefootballapi located here: https://api.collegefootballdata.com/api/docs/?url=/api-docs.json#/

A python client to get football news

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!****

An R package for working with College Football Data. It is an R API wrapper around <https://collegefootballdata.com/> made available by the cfbscrapR team. It provides users the capability to access a plethora of endpoints, and supplement that data with additional information (Expected Points Added/Win Probability added).

Code to scrape play-by-play data from the XFL website and reshape data into more useful columns for public analysis

Main use case is to collect ESPN QBR for NFL and college football. Alternative functions include getting NFL standings and scraping NFL season-level stats.

Python package for loading nflfastR play by play data

A set of functions to simulate National Football League seasons including the sophisticated tie-breaking procedures.

Make beautiful plots of player tracking data

A minimal package for downloading data from 'GitHub' repositories of the 'nflverse' project.

Retrieve Sports data in Python

A set of functions to enable users to extract chess game data from popular chess sites, including 'Lichess'<https://lichess.org/> and 'Chess.com' <https://www.chess.com/> and then perform analysis on that game data.

A set of functions to visualize National Football League analysis in 'ggplot2' plots and 'gt' tables.

python library for interacting with NFL data sourced from nflfastR

A set of functions to access National Football League play-by-play data from <https://www.nfl.com/>.

This package allows data driven sports enthusiasts to use the NFL JSON API data to perform detailed analysis at game, season, and player levels. The functions within this package help parse and clean the data from NFL.com for R users. This package was built to enhance advanced sports analytics research specifically for American football with the hopes of developing metrics and insights that could potentially be useful for professional NFL teams as well as the public.

easily stream StatsBomb data into Python

Provides tools to visualise x,y-coordinates of soccer players and event data (e.g. passes, shots). Uses ggplot to draw soccer pitch and overplot expected goal maps, pass maps, average player positions, player heatmaps, individual player paths, player flow fields, and more.

A library to manage and update NFL data in a relational database.

Python wrapper for the collegefootballapi located here: https://api.collegefootballdata.com/api/docs/?url=/api-docs.json#/

A python client to get football news

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!****

An R package for working with College Football Data. It is an R API wrapper around <https://collegefootballdata.com/> made available by the cfbscrapR team. It provides users the capability to access a plethora of endpoints, and supplement that data with additional information (Expected Points Added/Win Probability added).

Code to scrape play-by-play data from the XFL website and reshape data into more useful columns for public analysis

Main use case is to collect ESPN QBR for NFL and college football. Alternative functions include getting NFL standings and scraping NFL season-level stats.

Python package for loading nflfastR play by play data

A set of functions to simulate National Football League seasons including the sophisticated tie-breaking procedures.

Make beautiful plots of player tracking data

A minimal package for downloading data from 'GitHub' repositories of the 'nflverse' project.

Retrieve Sports data in Python

A set of functions to enable users to extract chess game data from popular chess sites, including 'Lichess'<https://lichess.org/> and 'Chess.com' <https://www.chess.com/> and then perform analysis on that game data.

A set of functions to visualize National Football League analysis in 'ggplot2' plots and 'gt' tables.

python library for interacting with NFL data sourced from nflfastR