This study presents a novel approach for predicting NBA players' performance in Fantasy
Points (FP) by developing individualized models for 203 players, using advanced basketball …

Background: This study investigates the use of machine learning models, specifically
support vector regression (SVR) kernels, to predict team performance and identify potential …

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

This study delved into the realm of sports analytics, employing machine learning techniques
to predict the outcomes of NBA games based on player performance and team statistics …

In this study, we delve into the intersection of high-dimensional statistics and machine
learning within the realm of sports analytics, with a particular focus on real-time prediction of …

This study examines the application of weighted linear regression in predicting the team
standings in Chinese Basketball Association (CBA) at the end of a regular season. Using …

Predicate National Basketball Association championship has always been the focus of
people's attention. This paper makes an in-depth analysis of the prediction of the 2021-2022 …

Throughout the history of the NBA, decisions regarding the signing of free agents have been
riddled with complexity. Franchises are tasked with finding out what players will serve as …

With the success of machine learning and data visualization in many fields, the NBA
(National Basketball Association) has also benefited from its huge demand for data analysis …