Football Data Analysis Personal Project

Clermont Foot 63 Data Analysis Project : • Developed a supplementary project in Python to support a job interview with Clermont Foot 63. • Collected and cleaned publicly available data from the 2024/2025 season to analyze team performance trends. • Explored key metrics including goals, decisive passers, xGoals, player minutes, positions, injuries, and staff changes. • Proposed visualizations such as goal locations, key passes, and other performance indicators, and compared them with the previous 2023/2024 season. • Derived insights: The 2023/2024 season was strong but a few decisive players contributed disproportionately; some were transferred while others had less playing time despite no injuries. Suggested hypotheses included increasing playing time for key players and identifying similar profiles to fill gaps. • Emphasized that this was a personal project for learning and exploration, with no commercial value. 💡 Skills Gained: • Python programming & Matplotlib for data analysis and visualization • Advanced data cleaning, processing, and exploratory analysis • Strong logical reasoning and ability to draw actionable insights from complex datasets • Experience in finding reliable datasets online and structuring them for analysis • Enhanced analytical thinking in a sports performance context