European Football Transfer Market Analysis (2014–2024)

Over the past decade, European football transfers have evolved from tactical sporting decisions into high-stakes financial speculations. This project analyzes 3,591 verified transfer records across Europe’s "Big 5" leagues (Premier League, Serie A, La Liga, Bundesliga, Ligue 1) from 2014 to 2024. The goal of this end-to-end data project is to quantify structural market inflation, visualize league-specific spending disparities (the "Premier League Tax"), and identify demographic valuation premiums (the "Youth Tax") using Python and Power BI.

The European Football Transfer Market Analysis is an end-to-end data project that investigates the financial evolution of player transfers across Europe’s "Big 5" leagues over a decade. Utilizing Python and Pandas for rigorous data cleaning and feature engineering, I processed nearly 3,600 verified transfer records to create custom financial metrics, such as market premium ratios and age-based segmentations. The refined dataset was then modeled in Power BI to build a dynamic, interactive dashboard powered by custom DAX measures. The resulting visualizations reveal critical structural market shifts, most notably a staggering 119% decade-over-decade inflation rate, a significant "Premier League Tax" where English clubs accounted for nearly 40% of all European spending, and a "Youth Tax" demonstrating extreme market overpayments for Under-21 prospects. By bridging raw data with powerful visual storytelling, this project successfully quantifies the modern football market's transition from sporting decisions to high-stakes financial speculations.

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