Github repository brought to you by the brothers -- Kyle and Anthony Illenden
Tips Appreciated.
A Python toolkit for working with NFL and fantasy football statistics.
This project provides tools for collecting, processing, and analyzing NFL data to support fantasy football analysis, statistical modeling, and data exploration.
It is designed for developers, analysts, and fantasy football enthusiasts who want programmatic access to NFL statistics.
- Retrieve and process NFL statistics
- Work with player and team data
- Build datasets for fantasy football analytics
- Support statistical modeling and analysis
- Easily integrate into Python workflows
Typical use cases include:
- Fantasy football projections
- Player performance analysis
- Historical stat analysis
- Data pipelines for NFL analytics
- Custom fantasy football tools
Clone the repository:
git clone https://github.com/killenden/NFL_stats.git
cd NFL_statsCreate a virtual environment:
python -m venv venv
source venv/bin/activateInstall dependencies (if applicable):
pip install -r requirements.txtExample workflow using the library:
from nfl_stats import stats
data = stats.get_player_stats(season=2024)
print(data.head())You can then use the dataset with libraries such as:
- pandas
- numpy
- scikit-learn
- matplotlib
- seaborn
for further analysis and modeling.
Example repository structure:
NFL_stats/
│
├── data/ # Stored datasets
├── notebooks/ # Analysis notebooks
├── nfl_stats/ # Core library code
├── scripts/ # Utility scripts
├── tests/ # Unit tests
│
├── README.md
├── CONTRIBUTING.md
├── SECURITY.md
└── requirements.txt
- Calculate value over replacement (VOR)
- Track weekly player performance
- Build custom rankings
- Predict player performance
- Evaluate team efficiency
- Build machine learning models
- Build NFL data pipelines
- Export datasets for visualization
- Combine multiple NFL data sources
Contributions are welcome!
You can help by:
- Reporting bugs
- Suggesting features
- Improving documentation
- Submitting pull requests
See CONTRIBUTING.md for details on the contribution process.
If you discover a security vulnerability, please report it responsibly.
See SECURITY.md for reporting instructions.
This project is intended for educational and analytical purposes.
NFL statistics are the property of the National Football League and their respective data providers.
Please ensure compliance with the terms of use of any data sources used.
Planned improvements include:
- Expanded data sources
- Improved fantasy football metrics
- Automated data pipelines
- Additional statistical models
- Visualization utilities
Created by Kyle and Anthony Illenden
GitHub:
https://github.com/killenden
https://github.com/anthony-illenden
This project is not affiliated with or endorsed by the National Football League (NFL).
All trademarks and statistics belong to their respective owners.