ATP Rankings Data Visualization

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This comprehensive Python project provides a robust solution for managing and exploring ATP tennis rankings. It automates web scraping of data from atptour.com, storing over 2,600 weeks of historical rankings in a SQLite database. Users can access this data through a modern FastAPI web application featuring interactive charts and player comparison tools, or leverage powerful command-line utilities for detailed analysis. Furthermore, the tool includes an AI-ready Model Context Protocol (MCP) server, enabling seamless integration with AI assistants to query and retrieve tennis statistics.

Características Principales

• Command-line tools for player statistics and comparisons with Matplotlib visualizations
• Database of 2,600+ weeks of historical ATP rankings (1973-2025)
• Modern FastAPI web application with interactive charts (Chart.js)
• AI integration via Model Context Protocol (MCP) server
• Automated web scraping for ATP tour data collection
• 2 GitHub stars

Casos de Uso

• Analyze historical ATP tennis player performance and career trajectories.
• Develop custom applications that require comprehensive tennis ranking data via a RESTful API.
• Integrate with AI assistants to query specific player statistics and historical rankings.