[HTML][HTML] Diverse machine learning for forecasting goal-scoring likelihood in elite football leagues

C Markopoulou, G Papageorgiou, C Tjortjis - Machine learning and …, 2024 - mdpi.com
The field of sports analytics has grown rapidly, with a primary focus on performance
forecasting, enhancing the understanding of player capabilities, and indirectly benefiting …

The impact of social media-related motivation on fantasy sport users' playing skills, sense of competition and performance expectancy

JS Rai, H Cho, M Itani, A Singh - Asia Pacific Journal of Marketing …, 2024 - emerald.com
Purpose This study investigated how sources of information across social media platforms
influence fantasy users' sport consumption and enhance their performance expectancy …

A Systematic Literature Review of Machine Learning Applications for Team Formation Problems

S Karataş, H Çakır - Bilişim Teknolojileri Dergisi, 2024 - dergipark.org.tr
With the development of technology, the variety and number of data held for any process
has increased exponentially. By processing and analyzing this data, it is possible to solve …

Machine Learning: Applying Genetic Algorithms for Budget Management & Team Composition in Fantasy Premier League (FPL)

AA Aribo - 2024 - search.proquest.com
This thesis explores how genetic algorithms (GAs) can be used to optimize team selection in
the Fantasy Premier League (FPL), an online multiplayer fantasy game. The main goal is to …

[PDF][PDF] The outlook of sport data analytics

Y Lee - joaiar.org
Sport data analytics has revolutionized the way we understand and engage with sport. By
leveraging vast amounts of data, advanced algorithms, and cutting-edge technology, sport …