🤖 This repository contains a Python script for scraping and analyzing football match data. The script is designed to be run from the command line and provides various options for scraping, analyzing, and visualizing the data.
🏏 **ICC Men's T20 World Cup 2026 – Data-Driven Best Playing XI** A Python-powered analysis that selects the ultimate Best XI from the ICC Men's T20 World Cup 2026 using real match performance data. and Built with: **Python · Pandas · Matplotlib** Goal: Eliminate selection bias and let pure stats decide the dream team
Analyze Pakistan Cricket Team performance with pure Python! 30 players, 20 analyses covering batting averages, strike rates, fitness scores & team composition. Perfect for beginners learning data science. No libraries needed!
Analysis of NBA player statistics to predict career longevity, focusing on identifying key performance indicators that contribute to careers lasting 5+ years in the league.
A valuation of team and player performance for the Detroit Red Wings utilizing league-wide comparison, cash flow analyses, and constrained optimization.
Aprende football analytics construyendo. Cada semana: un problema real de scouting → la técnica que usa la industria → código Python → papers que lo validan. De heatmaps a modelos predictivos.
Article and R Markdown scripts for analysis of 2024 MLB pitch framing
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