🤖 AI Summary
This study quantifies the impact of suspense and unpredictability on audience engagement in top-tier European football competitions. Using historical data from 25,725 matches, we develop a dynamic goal-probability model to operationalize suspense and unpredictability as measurable core governance metrics and establish an ideal competitive balance benchmark. Through cross-league (men’s/women’s), cross-club, and longitudinal simulation analyses and comparative modeling, we find that men’s football exhibits significantly lower suspense than the benchmark—particularly among elite clubs—while unpredictability generally meets target levels. We further identify pronounced inter-league heterogeneity, systematic seasonal evolution patterns, and emergent characteristics in women’s football. These findings provide empirical foundations and a novel analytical framework for optimizing league competitive structures and designing differentiated governance policies.
📝 Abstract
We propose utilizing match-level suspense and surprise - which capture the entertainment utility created by competitive balance and outcome uncertainty for sports spectators - as alternative policy targets for league organizers and managers. Through simulations, we derive a benchmark range for suspense and surprise based on a perfectly balanced match before analyzing over 25,000 men's matches (2010/11-2023/24) and 725 women's matches (2023/24) from Europe's top football leagues. Our findings reveal that an average match generates lower suspense compared to the benchmark range, particularly for top teams, while surprise values consistently align with the benchmark. Moreover, we observe nuanced trends over time in men's football and highlight notable differences across leagues and clubs in both men's and women's competitions. These insights enhance our understanding of how the attractiveness of matches arises from competitive balance and carry important policy implications.