Sports analytics (SA) incorporate machine learning (ML) techniques and models for
performance prediction. Researchers have previously evaluated ML models applied on a …

This study investigated the application of artificial intelligence in real-time prediction of
professional basketball games, identifying the variations within performance indicators that …

Our aim in this study was to examine the impact of fans (vs. no fans), geographical location
of league, and team ability on home winning percentage (HW%) or home advantage (HA) in …

The purpose of this study was to (i) determine the effect of KPIs on game outcomes for NBA
teams; and (ii) compare the result difference between multiple linear regression (MLR) and …

The sports industryLs global gain is worth drawing attention to in the face of economics.
Scholars argued that a countryLs success in sports is directly related to its economic …

In basketball, the end of the ball possession has been described as one of the most
important determinants of successful offensive play by a team. The present study aimed to:(i) …

This study examined the effects of game schedule, travel demands and contextual factors on
team game-related statistics during a full season. The top 10 teams competing in the 2020 …

To quantify and compare the external peak demands (PD) encountered according to game
result (win vs. loss), quarter result (win vs. tie vs. loss), and quarter point difference …

Background: The objective of this research was to analyse the effectiveness and search for
successful patterns in ball screens in the men's 2019 Basketball World Cup. Methods: The …

The study examines the complex interactions between coaches and athletes in federative
basketball in two different cultural contexts: China and Spain. The paper examines the …