The landscape of professional football is undergoing a profound transformation driven by advancements in information systems and data science. In this era of technological evolution, the integration of data analytics and specialized metrics has revolutionized decision-making processes within football management. Leveraging advanced wearable devices and state-of-the-art information systems, teams have access now to vast amounts of data, enabling more precise and informed decisions across various facets of the game, from match tactics to talent scouting and injury prevention. Drawing inspiration from the renowned Moneyball revolution in baseball, this paper examines the application and evolution of its principles within football, focusing on the case study of Brentford FC. Through a comprehensive analysis of primary and secondary data, including interviews, questionnaires, and statistics from official platforms, the development model of Brentford FC is examined. Results showcase the team’s remarkable ascent, propelled by the implementation of innovative, advanced statistical analyses and composite performance indicators, including metrics like expected goals (xG). Brentford FC’s success story exemplifies how a data-driven approach can empower even smaller clubs with limited financial resources to compete effectively against stronger opponents. By harnessing the power of data science and information systems, Brentford FC not only did it achieve promotion to the prestigious Premier League, but it also enhanced its financial value substantially. Its performance on the pitch, guided by sophisticated performance indicators, underscores the transformative potential of data-driven strategies in modern football management. Thus, this paper contributes to the understanding of how information systems and data science are reshaping the football landscape, offering valuable insights into the strategic adoption of analytics for sustainable success in professional football.

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