Sport Insight is a tool created for football fans and professionals that provides in-depth analysis of matches and performance data in a user-friendly format. By using graphics and data interpretations, users can delve into previous games and team stats to gain valuable insights, helping them grasp team dynamics and strategic patterns effectively.

This project provides an in-depth analysis of FIFA World Cup data using Python. It covers key aspects of the matches history, performance trends, and standout insights. Whether you're a football enthusiast or a data analytics fan, this project highlights the intersection of sports and data science.

Statistical analysis of women's international football matches (9,761 games) investigating venue impact on goal scoring patterns. Using R for data visualization and analysis, comparing home vs neutral venues through Welch's t-test and Wilcoxon rank-sum test. Part of UH research project featuring comprehensive match outcome analysis.