The use of machine learning in sport outcome prediction: A review
The increase in the volume of structured and unstructured data related to more than just
sport events leads to the development and increased use of techniques that extract …
sport events leads to the development and increased use of techniques that extract …
[HTML][HTML] Combining theoretical modelling and machine learning approaches: The case of teamwork effects on individual effort expenditure
Abstract Machine learning modelling of psychological processes is often considered as
competing alternative to theoretical modelling. In contrast, the current study explores …
competing alternative to theoretical modelling. In contrast, the current study explores …
Data mining paths for standard weekly training load in sub-elite young football players: a machine learning approach
The aim of this study was to test a machine learning (ML) model to predict high-intensity
actions and body impacts during youth football training. Sixty under-15,-17, and-19 sub-elite …
actions and body impacts during youth football training. Sixty under-15,-17, and-19 sub-elite …
[HTML][HTML] A unified machine learning framework for basketball team roster construction: NBA and WNBA
Abstract The National Basketball Association (NBA) is known for its luxury tax and unique
salary cap, which makes the selection of players crucial. Machine learning models are …
salary cap, which makes the selection of players crucial. Machine learning models are …
Evaluating soccer match prediction models: a deep learning approach and feature optimization for gradient-boosted trees
Abstract Machine learning models have become increasingly popular for predicting the
results of soccer matches, however, the lack of publicly-available benchmark datasets has …
results of soccer matches, however, the lack of publicly-available benchmark datasets has …
Workload Monitoring Tools in Field-Based Team Sports, the Emerging Technology and Analytics used for Performance and Injury Prediction: A Systematic Review
G Keys, L Ryan, M Faulkner, M McCann - International Journal of …, 2023 - sciendo.com
Training load (TL) is frequently documented among team sports and the development of
emerging technology (ET) is displaying promising results towards player performance and …
emerging technology (ET) is displaying promising results towards player performance and …
Data-driven team ranking and match performance analysis in Chinese Football Super League
Recent years have seen an increasing body of research into the evaluation of the team-level
technical-tactical performance in association football using match events data. However …
technical-tactical performance in association football using match events data. However …
Prediction of marathon performance using artificial intelligence
Although studies used machine learning algorithms to predict performances in sports
activities, none, to the best of our knowledge, have used and validated two artificial …
activities, none, to the best of our knowledge, have used and validated two artificial …
A framework of interpretable match results prediction in football with FIFA ratings and team formation
While forecasting football match results has long been a popular topic, a practical model for
football participants, such as coaches and players, has not been considered in great detail …
football participants, such as coaches and players, has not been considered in great detail …
Data-driven prediction of soccer outcomes using enhanced machine and deep learning techniques
This paper introduces a novel framework for soccer game prediction using advanced
machine learning and deep learning techniques, initially focusing on the Dutch Eredivisie …
machine learning and deep learning techniques, initially focusing on the Dutch Eredivisie …