Systematic Analysis of Position-Data-based Key Performance Indicators

Abstract In the past 20 years, performance analysis in soccer has accumulated a wide variety of key indicators (KPI’s) aimed at reflecting team’s strength and success. Thanks to rapidly advancing technologies data analytics more sophisticated metrics, requiring high resolution acquisition big methods, are developed. This includes many position-data-based KPI’s, which incorporate precise spatial temporal information about every player ball on field. The present study contributes this research by performing large-scale comparison several metrics mainly based positions passing events. Their association with success (derived from goals scored) (estimated pre-game betting odds) is analysed. systematic revealed relevant results for further KPI research: First, magnitude overall correlation coefficients was higher relative than absolute metrics. Second, team stronger game team. Third, indicated positive associations, while most likely confounded intermediate score line negative associations.