Bridging the gap: Leveraging Power BI to connect data science and soccer coaches

Abstract

Background: The availability of statistical data in the field of football performance analysis is continuously expanding. Despite this abundance, the effective utilization of such data in practical scenarios encounters various challenges. Purpose: This study aimed to explore the potential of integrating visualizations through Power BI to the effectiveness of statistical analysis for soccer coaches. Methodology: We leveraged data from three Excel sheets derived from two surveys published in the "Journal of Physical Education and Sport". Employing Power BI, we created six distinct types of graphs. Results: The treemap depicts the distribution of corner kicks and resulting goals based on delivery type and zone. The area chart illustrates the team's season long form. The clustered column chart reveals goals, expected goals, and team efficiency. The radar chart depicts the team's behavior relative to the league's average across 19 tactical situations. The table heatmap presents the percentage of passes in each third of the pitch for the teams. The scatter bubble chart illustrates team performance across four distinct tactical situations during the attacking phase. Conclusions: The derived visualizations provided coaches with invaluable practical insights. Our findings underscore the significance of visualizing statistical data, thereby empowering coaches to analyze their team, assess opponents, and identify trends within their competitive landscape. Visualization proves to be an indispensable tool for making critical decisions and gaining a profound understanding of diverse performance aspects. By harnessing Power BI, coaches can adeptly interpret and capitalize on statistical information, resulting in refined analysis and more informed decision-making processes.