sportsR: A Comprehensive Collection of Sports and Athletics Datasets

Offers a rich and diverse collection of datasets focused on sports, athletics, physical performance, and related disciplines. The package includes professional and amateur sports data covering team sports such as soccer, basketball, baseball, American football, volleyball, rugby, cricket, hockey, and handball, as well as individual sports including tennis, badminton, table tennis, golf, swimming, cycling, athletics, gymnastics, wrestling, boxing, martial arts, weightlifting, triathlon, rowing, canoeing, climbing, surfing, skiing, snowboarding, and motorsports. Datasets cover player and team performance, match statistics, tournament results, championship standings, Olympic and international competitions, rankings, player demographics, coaching and training, biomechanics, sports medicine, injuries, exercise physiology, fitness assessment, sports nutrition, wearable sensor measurements, talent identification, and sports analytics. Additional datasets include historical competitions, referee decisions, fan engagement, economic indicators, and sports management data obtained from public repositories, official organizations, research publications, and educational resources. Designed for sports scientists, coaches, analysts, researchers, educators, students, and data scientists, this package facilitates exploratory data analysis, statistical modeling, machine learning, visualization, and sports analytics research.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: utils
Suggests: ggplot2, testthat (≥ 3.0.0), dplyr, knitr, rmarkdown
Published: 2026-08-26
DOI: 10.32614/CRAN.package.sportsR
Author: Renzo Caceres Rossi ORCID iD [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi at gmail.com>
BugReports: https://github.com/lightbluetitan/sportsr/issues
License: GPL-3
URL: https://github.com/lightbluetitan/sportsr, https://lightbluetitan.github.io/sportsr/
NeedsCompilation: no
Language: en
Citation: sportsR citation info
Materials: README
CRAN checks: sportsR results

Documentation:

Reference manual: sportsR.html , sportsR.pdf
Vignettes: sportsR: A Comprehensive Collection of Sports and Athletics Datasets (source, R code)

Downloads:

Package source: sportsR_0.1.0.tar.gz
Windows binaries: r-devel: sportsR_0.1.0.zip, r-release: sportsR_0.1.0.zip, r-oldrel: sportsR_0.1.0.zip
macOS binaries: r-release (arm64): sportsR_0.1.0.tgz, r-oldrel (arm64): sportsR_0.1.0.tgz, r-release (x86_64): sportsR_0.1.0.tgz, r-oldrel (x86_64): sportsR_0.1.0.tgz

Linking:

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