In this experiment we processed game events available in soccer-logs in order to identify in an unsupervised way (i.e., using a data mining clustering algorithm) a set of roles.

Women's football is gaining supporters and practitioners worldwide, raising questions about what the differences are with men's football. While the two sports are often...

This experiments aims to develop a methodology to monitor and predict the market value of professional soccer players given their performance computed from soccer-logs and...

An algorithm to forecast the injuries of soccer players given their training workload

The use of machine learning (ML) in soccer allows for the management of a large amount of data deriving from the monitoring of sessions and matches. Although the rate of...

The fact that kinesio tape may be capable to enhance muscle power would qualify it as practical tool to be considered during passive warm-up (WU) or coupled with active WU...

The aim of this study was to assess short-term delayed effects of Kinesio taping (KT) on maximal cycling performance. A design with repeated measures was used. Fifteen healthy...

The objective of this study was to investigate the association between regional and total phase angle (PhA) with lower-body neuromuscular performance in young elite soccer...

the scope of the Special Issue is to advance knowledge of the factors affecting sports performance and recovery emphasizing the use of novel strategies to alleviate and...

Wrist-worn wearable devices equipped with heart rate (HR) sensors have become increasingly popular. The ability to correctly interpret the collected data is fundamental to...

This study aimed to analyse the relationship of regional and whole body morphology to vertical jump performance and to compare the morphological features outlining high and...

Background – This study aimed to analyse the relationship of regional and whole body morphology to vertical jump performance and to compare the morphological features outlining...

The aim of this study was to investigate whether volleyball-specific skills, physical performance, and general cognitive functions differ between players of different...

Deep learning for automatic detection of soccer events from broadcasted video Soccer analytics is attracting increasing interest in academia and industry, thanks to the...

The problem of evaluating the performance of soccer players is attracting the interest of many companies and the scientific community, thanks to the availability of massive...

This algorithm simulates the outcomes of an entire season of each team of a football league only relying on technical data (i.e., excluding the goals scored), by exploiting a...

As mobility within the European Economic Area (EEA) is on the rise, it is important to understand migrants’ health-related behaviors (such as physical activity [PA]) within...