Resumen de Performance analysis in football
Jaime E. Sampaio, Diogo Coutinho, Bruno Gonçalves
Performance analysis has always been a hot topic in sports sciences. Particularly in football, the field started with manual notational analysis, that provided descriptions, mostly related to the quantity of actions that occurred during the match. Although useful, the provided analysis lacked to account for several important issues in performance like, for example, its complex and dynamic nature (Memmert et al, 2017). In the last years, the available technology has provided instruments that allow to capture player location with high-precision, creating new possibilities to analyse performance. At first, this evolution created severe problems due to the quantity of data available to be processed. Currently, sports scientists have made an huge effort to accommodate these new needs by developing new variables, process big data and create coach-friendly visualizations. Therefore, performance analysis is starting to be integrated into a wider model and framework of the training process, exploring the interactions between physical, technical and tactical dimensions at different time scales (drill, training unit, week,…) and landscapes (nano, micro, meso and macro). In this new era, the usage of positional data is becoming particularly interesting, in a way to capture how the players use holistic match information from the teammates, opponents and all the environment to accomplish specific individual and collective goals.
