Football Stats

A desktop application for analyzing football statistics, tracking team performance, and making predictions based on form analysis.

Features

• View league standings and statistics
• Analyze team form and performance
• Track upcoming fixtures with date-based grouping
• Make predictions based on team performance
• Filter out past matches
• Sort fixtures by various criteria
• Customizable interface

Installation

Option 1: Using the Installer

1. Download the latest installer (FootballStats_Setup.exe) from the Releases page
2. Run the installer and follow the on-screen instructions
3. Launch the application from the desktop shortcut or start menu

Option 2: Portable Version

1. Download the latest portable version (Football_Stats_Portable.zip) from the Releases page
2. Extract the ZIP file to a location of your choice
3. Run Football Stats.exe to start the application

Building from Source

Prerequisites

• Python 3.8 or higher
• pip (Python package manager)
• PyInstaller
• Inno Setup (optional, for creating installers)

Steps

1. Clone the repository:

   git clone https://github.com/Yerdna1/FootballStatsWindows.git
   cd FootballStatsWindows
   

2. Create and activate a virtual environment:

   python -m venv venv
   venv\Scripts\activate
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Build the executable:

   pyinstaller app.spec
   

5. (Optional) Create an installer:

   iscc FootballStats.iss
   

Usage

1. Launch the application
2. Select a league from the dropdown menu
3. Use the tabs to navigate between different views:
   • League Stats: View league standings and statistics
   • Team Analysis: Analyze individual team performance
   • Form Analysis: View team form and performance changes
   • Upcoming Fixtures: See upcoming matches grouped by date

Recent Changes

• Changed date format to DD.MM.YYYY
• Added filtering to hide past matches
• Implemented date separators for better organization
• Added sorting functionality within date groups
• Removed Firebase dependencies to improve stability
• Created proper installer with Inno Setup

License

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

Acknowledgments

• Football data provided by various APIs
• Built with Python and CustomTkinter