worldfootballR: Extract and Clean World Football (Soccer) Data

Allow users to obtain clean and tidy football (soccer) game, team and player data. Data is collected from a number of popular sites, including 'FBref', transfer and valuations data from 'Transfermarkt'<> and shooting location and other match stats data from 'Understat'<> and 'fotmob'<>. It gives users the ability to access data more efficiently, rather than having to export data tables to files before being able to complete their analysis.

Version: 0.6.2
Depends: R (≥ 4.0.0)
Imports: dplyr, glue, httr, janitor, jsonlite, lubridate, magrittr, progress, purrr, qdapRegex, readr, rlang, rstudioapi, rvest (≥ 1.0.0), stats, stringi, stringr, tidyr (≥ 1.2.0), tidyselect, utils, withr, xml2, tibble, cli, curl
Suggests: knitr, rmarkdown, testthat
Published: 2022-11-26
DOI: 10.32614/CRAN.package.worldfootballR
Author: Jason Zivkovic [aut, cre, cph], Tony ElHabr [ctb], Tan Ho [ctb], Samuel H [ctb]
Maintainer: Jason Zivkovic <jaseziv83 at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
In views: SportsAnalytics
CRAN checks: worldfootballR results


Reference manual: worldfootballR.pdf


Package source: worldfootballR_0.6.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): worldfootballR_0.6.2.tgz, r-oldrel (arm64): worldfootballR_0.6.2.tgz, r-release (x86_64): worldfootballR_0.6.2.tgz, r-oldrel (x86_64): worldfootballR_0.6.2.tgz
Old sources: worldfootballR archive

Reverse dependencies:

Reverse imports: play


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