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.
Turkish Süper Lig Referee Analysis
Süper Lig referee analysis project focused on disciplinary trends, referee strictness, penalty frequency, and team-based card/foul metrics using Python, pandas, and football data visualizations.
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.