wehoop

wehoop is an R package for working with women’s college and professional basketball data. The package has functions to access live play by play and box score data from ESPN with shot locations when available.

A scraping and aggregating interface for ESPN’s women’s college basketball and WNBA statistics. It provides users with the capability to access the API’s game play-by-plays, box scores, standings and results to analyze the data for themselves.

Installation

You can install the CRAN version of wehoop with:

install.packages("wehoop")

You can install the released version of wehoop from GitHub with:

# You can install using the pacman package using the following code:
if (!requireNamespace('pacman', quietly = TRUE)){
  install.packages('pacman')
}
pacman::p_load_current_gh("sportsdataverse/wehoop", dependencies = TRUE, update = TRUE)

Quick Start

WNBA full play-by-play seasons (2002-2024) ~ 1-2 minutes

tictoc::tic()
progressr::with_progress({
  wnba_pbp <- wehoop::load_wnba_pbp()
})
tictoc::toc()

## 1.08 sec elapsed

## 58334 rows of WNBA play-by-play data from 150 games.

Women’s college basketball full play-by-play seasons (2004-2024) ~ 2-3 minutes

tictoc::tic()
progressr::with_progress({
  wbb_pbp <- wehoop::load_wbb_pbp()
})
tictoc::toc()

## 6.55 sec elapsed

## 1908679 rows of women's college basketball play-by-play data from 5779 games.

Documentation

For more information on the package and function reference, please see the wehoop documentation website.

Breaking Changes

Full News on Releases

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Our Authors

• Saiem Gilani (@saiemgilani)

• Geoff Hutchinson (@HutchNGo)

Citations

To cite the wehoop R package in publications, use:

BibTex Citation

@misc{hutchinson_gilani_2021_wehoop,
  title = {wehoop: Access Women’s Basketball Play by Play Data},
  url = {http://doi.org/10.32614/CRAN.package.wehoop},
  DOI = {10.32614/cran.package.wehoop},
  journal = {CRAN: Contributed Packages},
  publisher = {The R Foundation},
  author = {Gilani,  Saiem and Hutchinson,  Geoffery},
  year = {2021},
  month = nov 
}