It is common practice amongst coaches and analysts to search for key performance
indicators related to attacking play in football. Match analysis in professional football has …

Nowadays, soccer is the most popular sport in our society, followed by millions of people.
Consequently, many video analysis applications have been developed in the last years to …

The sports domain presents a number of significant computational challenges for artificial
intelligence (AI) and machine learning (ML). In this paper, we explore the techniques that …

Purpose This paper aims to examine the influence of big data (BD) on human resource
management (HRM). It defines how these data can be a useful tool in the decision-making …

Key Performance Indicators (KPIs) are used to evaluate the offensive success of a soccer
team (eg penalty box entries) or player (eg pass completion rate). However, knowledge …

Passes are by far football's (soccer) most frequent event, yet surprisingly little meaningful
research has been devoted to quantify them. With the increase in availability of so-called …

A robust fuzzy clustering model for mixed data is proposed. For each variable, or attribute, a
proper dissimilarity measure is computed and the clustering procedure combines the …

The aim of this study is to examine the most significant literature on network analyses and
factors associated with tactical action in football. A systematic review was conducted on Web …

Nowadays game-related statistics in the sports industry are demanded by coaches, players,
managers, journalists, supporters, fans, video games developers, betting markets and …

In this paper, I report some investigation discussing team selection, whence hierarchy,
through ranking indicators, for example when “measuring” professional cyclist team's …