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nrlR 📊🏉

A powerful R package to scrape, clean, and analyze publicly available NRL and Rugby League data

🚀 Overview

nrlR provides a streamlined toolkit for R users to scrape, clean, and analyze rugby league data from public sources. It covers:

With nrlR, you can easily pull:

✅ Match fixtures and results
✅ Ladder standings
✅ Player statistics (runs, tries, tackles, points)
✅ Team statistics (totals, differentials)
✅ Venues, crowds & more

Use it to build dashboards, run predictive models, or simply explore your favourite teams.

💿 Installation

Install the development version directly from GitHub using:

# install.packages("devtools")
devtools::install_github("DanielTomaro13/nrlR")

🔥 Quick examples

library(nrlR)

📊 Get the NRL ladder for 2025

ladder <- fetch_ladder(season = 2025, league = "nrl", source = "nrl")
head(ladder)

🏟️ Fetch fixtures for NRL Round 5, 2025

fixtures <- fetch_fixture(season = 2025, round_number = 5)
print(fixtures)

🏉 Fetch player stats from Rugby League Project

# Fetch player stats for NRL season 2024, rounds 1-3
player_stats <- fetch_player_stats(season = 2024, league = "nrl", round = 1:3, source = "rugbyproject")
head(player_stats)

📈 Fetch Champion Data team stats

# Get the available competitions first
comps <- fetch_cd_competitions()
print(comps)

# Then fetch team stats, e.g. comp ID 12755
cd_team_stats <- fetch_team_stats_championdata(comp = 12755, round = 4)
head(cd_team_stats)

👟 Fetch Champion Data player stats

# For competition ID 12755 (2025 NRL Telstra Premiership)
cd_player_stats <- fetch_player_stats(comp = 111, round = 4, source = "championdata")
head(cd_player_stats)

🛠 Features

✅ Clean, tidy tibbles ready for dplyr or data.table workflows
✅ Robust scraping with smart handling of missing or partial data
✅ Historical & current season support (1998+)
✅ Flexible — works with multiple data sources

🤝 Contributing

PRs are welcome!
If you want to improve scrapers, add new competitions, or help write tests — open an issue or a pull request.

📝 License

MIT © Daniel Tomaro

📢 Build your next footy model, dashboard, or data viz with nrlR.
Happy coding!

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.