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 …

Given the recent trend in Data Science (DS) and Sports Analytics, an opportunity has arisen
for utilizing Machine Learning (ML) and Data Mining (DM) techniques in sports. This paper …

To understand the dynamic patterns of behaviours and interactions between athletes that
characterize successful performance in different sports is an important challenge for all sport …

The objective of this review was to systematically describe the traditional and contemporary
data capture and analytic methods employed in performance analysis research in team …

The sports industry utilizes science to improve short to long-term team and player
management regarding budget, health, tactics, training, and most importantly performance …

This study aimed to (1) use the clustering method to build a classification model based on
the play-type data of basketball players, to classify native and foreign players into different …

Choosing the right formation is one of the coach's most important decisions in football.
Teams change formation dynamically throughout matches to achieve their immediate …

Using data from one season of NBA games, Basketball Data Science: With Applications in R
is the perfect book for anyone interested in learning and applying data analytics in …

Currently, basketball teams use inertial devices for monitoring external and internal
workload demands during training and competitions. However, the intensity thresholds …

Decision-making is a central skill of basketball players intending to excel individually and
contribute to their teams' success. The assessment of such skills is particularly challenging …