Retrieve baseball data in Python

An API to retrieve and read MLB GameDay data

Baseball data and analysis in Python

Scrapes NCAA stats for most college sports from stats.ncaa.org

Provides numerous utilities for acquiring and analyzing baseball data from online sources such as 'Baseball Reference' <https://www.baseball-reference.com/>, 'FanGraphs' <https://www.fangraphs.com/>, and the 'MLB Stats' API <https://www.mlb.com/>.

Draw Major Leagure Stadiums in the ggplot2 framework

There are two primary purposes this package serves: 1) it facilitates the computation of openWAR, a fully open-source implementation of Wins Above Replacement (WAR) that could serve as a reference implementation for the sabermetric community; and 2) it downloads raw XML files from the MLBAM GameDay web application and processes them into play-by-play data in a tabular format. This play-by-play information is similar in spirit, though not in syntax, to play-by-play data made available by Retrosheet. Those interested in the modeling choices that we have made in our computation of openWAR should consult our JQAS or arXiv paper on that subject. This implementation of openWAR includes functions for constructing interval estimates of WAR for each player, as well as comparing openWAR point estimates to those of Baseball- Reference.com's rWAR.

With 'pitchRx', one can easily obtain Major League Baseball Advanced Media's 'Gameday' data (as well as store it in a remote database). The 'Gameday' website hosts a wealth of data in XML format, but perhaps most interesting is 'pitchfx'. Among other things, 'pitchfx' data can be used to recreate a baseball's flight path from a pitcher's hand to home plate. With pitchRx, one can easily create animations and interactive 3D 'scatterplots' of the baseball's flight path. 'pitchfx' data is also commonly used to generate a static plot of baseball locations at the moment they cross home plate. These plots, sometimes called strike-zone plots, can also refer to a plot of event probabilities over the same region. 'pitchRx' provides an easy and robust way to generate strike-zone plots using the 'ggplot2' package.

Building an SQL database of baseball play-by-play data from Retrosheet requires an ETL process and special tools. This package automates and streamlines that process.

An open-source college baseball analysis package for Python. Includes functionality for data acquisition and calculation of advanced metrics.

Retrieve baseball data in Python

An API to retrieve and read MLB GameDay data

Baseball data and analysis in Python

Scrapes NCAA stats for most college sports from stats.ncaa.org

Provides numerous utilities for acquiring and analyzing baseball data from online sources such as 'Baseball Reference' <https://www.baseball-reference.com/>, 'FanGraphs' <https://www.fangraphs.com/>, and the 'MLB Stats' API <https://www.mlb.com/>.

Draw Major Leagure Stadiums in the ggplot2 framework

There are two primary purposes this package serves: 1) it facilitates the computation of openWAR, a fully open-source implementation of Wins Above Replacement (WAR) that could serve as a reference implementation for the sabermetric community; and 2) it downloads raw XML files from the MLBAM GameDay web application and processes them into play-by-play data in a tabular format. This play-by-play information is similar in spirit, though not in syntax, to play-by-play data made available by Retrosheet. Those interested in the modeling choices that we have made in our computation of openWAR should consult our JQAS or arXiv paper on that subject. This implementation of openWAR includes functions for constructing interval estimates of WAR for each player, as well as comparing openWAR point estimates to those of Baseball- Reference.com's rWAR.

With 'pitchRx', one can easily obtain Major League Baseball Advanced Media's 'Gameday' data (as well as store it in a remote database). The 'Gameday' website hosts a wealth of data in XML format, but perhaps most interesting is 'pitchfx'. Among other things, 'pitchfx' data can be used to recreate a baseball's flight path from a pitcher's hand to home plate. With pitchRx, one can easily create animations and interactive 3D 'scatterplots' of the baseball's flight path. 'pitchfx' data is also commonly used to generate a static plot of baseball locations at the moment they cross home plate. These plots, sometimes called strike-zone plots, can also refer to a plot of event probabilities over the same region. 'pitchRx' provides an easy and robust way to generate strike-zone plots using the 'ggplot2' package.

Building an SQL database of baseball play-by-play data from Retrosheet requires an ETL process and special tools. This package automates and streamlines that process.

An open-source college baseball analysis package for Python. Includes functionality for data acquisition and calculation of advanced metrics.

Retrieve baseball data in Python

An API to retrieve and read MLB GameDay data

Baseball data and analysis in Python

Scrapes NCAA stats for most college sports from stats.ncaa.org

Provides numerous utilities for acquiring and analyzing baseball data from online sources such as 'Baseball Reference' <https://www.baseball-reference.com/>, 'FanGraphs' <https://www.fangraphs.com/>, and the 'MLB Stats' API <https://www.mlb.com/>.

Draw Major Leagure Stadiums in the ggplot2 framework

There are two primary purposes this package serves: 1) it facilitates the computation of openWAR, a fully open-source implementation of Wins Above Replacement (WAR) that could serve as a reference implementation for the sabermetric community; and 2) it downloads raw XML files from the MLBAM GameDay web application and processes them into play-by-play data in a tabular format. This play-by-play information is similar in spirit, though not in syntax, to play-by-play data made available by Retrosheet. Those interested in the modeling choices that we have made in our computation of openWAR should consult our JQAS or arXiv paper on that subject. This implementation of openWAR includes functions for constructing interval estimates of WAR for each player, as well as comparing openWAR point estimates to those of Baseball- Reference.com's rWAR.

With 'pitchRx', one can easily obtain Major League Baseball Advanced Media's 'Gameday' data (as well as store it in a remote database). The 'Gameday' website hosts a wealth of data in XML format, but perhaps most interesting is 'pitchfx'. Among other things, 'pitchfx' data can be used to recreate a baseball's flight path from a pitcher's hand to home plate. With pitchRx, one can easily create animations and interactive 3D 'scatterplots' of the baseball's flight path. 'pitchfx' data is also commonly used to generate a static plot of baseball locations at the moment they cross home plate. These plots, sometimes called strike-zone plots, can also refer to a plot of event probabilities over the same region. 'pitchRx' provides an easy and robust way to generate strike-zone plots using the 'ggplot2' package.

Building an SQL database of baseball play-by-play data from Retrosheet requires an ETL process and special tools. This package automates and streamlines that process.

An open-source college baseball analysis package for Python. Includes functionality for data acquisition and calculation of advanced metrics.

Retrieve baseball data in Python

An API to retrieve and read MLB GameDay data

Baseball data and analysis in Python

Scrapes NCAA stats for most college sports from stats.ncaa.org

Provides numerous utilities for acquiring and analyzing baseball data from online sources such as 'Baseball Reference' <https://www.baseball-reference.com/>, 'FanGraphs' <https://www.fangraphs.com/>, and the 'MLB Stats' API <https://www.mlb.com/>.

Draw Major Leagure Stadiums in the ggplot2 framework

There are two primary purposes this package serves: 1) it facilitates the computation of openWAR, a fully open-source implementation of Wins Above Replacement (WAR) that could serve as a reference implementation for the sabermetric community; and 2) it downloads raw XML files from the MLBAM GameDay web application and processes them into play-by-play data in a tabular format. This play-by-play information is similar in spirit, though not in syntax, to play-by-play data made available by Retrosheet. Those interested in the modeling choices that we have made in our computation of openWAR should consult our JQAS or arXiv paper on that subject. This implementation of openWAR includes functions for constructing interval estimates of WAR for each player, as well as comparing openWAR point estimates to those of Baseball- Reference.com's rWAR.

With 'pitchRx', one can easily obtain Major League Baseball Advanced Media's 'Gameday' data (as well as store it in a remote database). The 'Gameday' website hosts a wealth of data in XML format, but perhaps most interesting is 'pitchfx'. Among other things, 'pitchfx' data can be used to recreate a baseball's flight path from a pitcher's hand to home plate. With pitchRx, one can easily create animations and interactive 3D 'scatterplots' of the baseball's flight path. 'pitchfx' data is also commonly used to generate a static plot of baseball locations at the moment they cross home plate. These plots, sometimes called strike-zone plots, can also refer to a plot of event probabilities over the same region. 'pitchRx' provides an easy and robust way to generate strike-zone plots using the 'ggplot2' package.

Building an SQL database of baseball play-by-play data from Retrosheet requires an ETL process and special tools. This package automates and streamlines that process.

An open-source college baseball analysis package for Python. Includes functionality for data acquisition and calculation of advanced metrics.