Background The application of artificial intelligence (AI) opens an interesting perspective for
predicting injury risk and performance in team sports. A better understanding of the …

Since the accelerating development of technology applied to team sports and its subsequent
high amount of information available, the need for data mining leads to the use of data …

The availability of critical information about training and competition is fundamental on
performance. Principal components analysis (PCA) is widely used in sports as a multivariate …

Background Talent identification and development (TID) programs aim to identify players
with the greatest potential for long-term success. Previous research suggests that the …

Talent identification in youth soccer is a complex decision-making process that requires
selectors to judge an individual's future potential. While there has been considerable …

This study verified the relationship between internal load (IL) and external load (EL) and
their association on injury risk (IR) prediction considering machine learning (ML) …

This study aims to identify the essential performance indicators in two level of soccer
expertise. A total of 84 elite's soccer players and 100 novice players from eight soccer …

This study aims to identify the most significant physical fitness parameters among youth
female Terengganu field hockey players. Multivariate methods of unsupervised pattern …

The current study explores the most significant psychological skills needed for the
accomplishment of high archery scores and determines the discriminating psychological …

Artificial Intelligence (AI) is increasingly being adopted across many domains such as
transport, healthcare, defence and sport, with football codes no exception. Though there is a …