Functions to Access Men's Basketball Play by Play Data

A utility to quickly obtain clean and tidy men's basketball play by play data. Provides functions to access live play by play and box score data from ESPN< https://www.espn.com> with shot locations when available. It is also a full NBA Stats API< https://www.nba.com/stats/> wrapper. It is also a scraping and aggregating interface for Ken Pomeroy's men's college basketball statistics website< https://kenpom.com>. It provides users with an active subscription the capability to scrape the website tables and analyze the data for themselves.


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install.packages("hoopR")

1.5.0 by Saiem Gilani, 17 days ago


https://saiemgilani.github.io/hoopR/, https://github.com/saiemgilani/hoopR


Report a bug at https://github.com/saiemgilani/hoopR/issues


Browse source code at https://github.com/cran/hoopR


Authors: Saiem Gilani [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports cli, data.table, dplyr, furrr, future, glue, janitor, jsonlite, magrittr, progressr, Rcpp, RcppParallel, rlang, rvest, stringr, tidyr, usethis

Suggests crayon, curl, DBI, ggplot2, ggrepel, httr, purrr, qs, rmarkdown, RSQLite, stats, stringi, testthat, tibble, xml2

System requirements: pandoc (>= 1.12.3), pandoc-citeproc


See at CRAN