Sports Analytics
Football reports, visual analysis and data storytelling
This section presents my sports analytics projects focused on football data, visual storytelling and performance analysis. I mainly work with Python, Pandas, Matplotlib and mplsoccer to turn raw event data into clear and insightful reports.
xT (Expected Threat) & Progressive Values
A football analytics project focused on how teams create danger through passes and carries. The analysis highlights expected threat and progressive actions using Python-based data workflows and clear visual storytelling.
Süper Lig Penalty Analysis
A comparative analysis of penalty takers using penalty data, player tendencies and visual summaries. The project is designed to present player-level insights in a clean and readable analytical format.
Player Shot Map Analysis
A shot map project that analyzes player shooting locations, goal patterns and attacking output. Built with Python, Matplotlib and mplsoccer to transform raw event data into meaningful visuals.