NFL Kicker Predictor

A sophisticated Python application that provides real-time NFL kicker statistics and performance analysis with an intuitive graphical interface.

Features

• Real-time Data: Scrapes live NFL kicker statistics from ESPN
• Offline Mode: Load previously saved kicker data for offline analysis
• Statistical Analysis: Track and analyze key performance metrics including:
  • Career & season field goal percentages
  • Average attempts per game
  • Average successful kicks per game
  • Last game performance
• Visual Performance Indicators: Color-coded projections comparing historical averages
• Data Persistence: Save kicker statistics locally for future reference

Installation

1. Clone the repository: bash git clone https://github.com/yourusername/NFL-Kicker-Predictor.git

2. Install required dependencies: bash pip install requests beautifulsoup4 tkinter

Usage

1. Run the main application: bash python Kicker.py

2. Select data source:

   • From Network: Fetches real-time data from ESPN
   • From Save: Loads previously saved local data

3. Choose league (NFL currently supported)

4. Browse kickers and view their statistics

5. Enter projections to compare against historical performance:

   • Green: Projection below historical average
   • Red: Projection above historical average

Project Structure

• Classes/: Core class definitions
• Gui/: User interface implementation
• Local/: Local data handling
• Save/: Data persistence operations
• Scrape/: Web scraping functionality

Technical Details

• Built with Python 3.x
• Uses BeautifulSoup4 for web scraping
• Tkinter for GUI implementation
• Modular architecture for easy maintenance and expansion

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Data sourced from ESPN's NFL statistics
• Built with inspiration from sports analytics and statistical modeling

--- Note: This project is for educational and analytical purposes only. All NFL data is property of their respective owners.