Football Match Predictor Using Machine Learning
Football Match Predictor
Overview
Football Match Predictor is a simple web app made using Python, Flask, and SQLite. It predicts football match results based on past match data using machine learning.This project is a good example of how we can use ML to work with sports data and try to guess match outcomes. It’s great for learning, college projects, or just exploring how predictions work in real life.
Project Details
| Project Name | Football Match Predictor |
|---|---|
| Language/s Used | Python |
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Available Features
Web-based interface for predicting football match outcomes
- Framework used: Flask (lightweight Python web framework)
- Database used: SQLite (local .db file for data persistence)
- Cleanly structured historical football data (English Premier League)
- Match prediction logic using statistical and historical inputs
- User input form for entering team data via web interface
- Machine Learning logic handled via backend script
- Model evaluation and accuracy measurement
- Visuals and outputs rendered using HTML templates
- Requirements file included for environment setup
- Easy-to-understand codebase with well-commented Python scripts
Technical Specifications
- Language: Python
- Framework: Flask
- Database: SQLite
- Python Version (Recommended): 3.6 or above
- Type: Web Application
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