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George Papageorgiou, Vangelis Sarlis and Christos Tjortjis
This study utilized advanced data mining and machine learning to examine player injuries in the National Basketball Association (NBA) from 2000?01 to 2022?23. By analyzing a dataset of 2296 players, including sociodemographics, injury records, and financ...
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Tianhao Gao, Meng Zhang, Yifan Zhu, Youjian Zhang, Xiangsheng Pang, Jing Ying and Wenming Liu
Classifying sports videos is complex due to their dynamic nature. Traditional methods, like optical flow and the Histogram of Oriented Gradient (HOG), are limited by their need for expertise and lack of universality. Deep learning, particularly Convoluti...
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Vangelis Sarlis, George Papageorgiou and Christos Tjortjis
Injuries are an unfortunate part of professional sports. This study aims to explore the multi-dimensional impact of injuries in professional basketball, focusing on player performance, team dynamics, and economic outcomes. Employing advanced machine lear...
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Fernando Vives, Javier Lázaro, José Francisco Guzmán, Rafael Martínez-Gallego and Miguel Crespo
This study used a novel machine learning approach to uncover key serve variables that maximize effectiveness in men?s professional doubles tennis. A large dataset of 14,146 serves from 97 Davis Cup doubles matches played between 2010 and 2019 was analyze...
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Salvatore Tedesco, Davide Alfieri, Eduardo Perez-Valero, Dimitrios-Sokratis Komaris, Luke Jordan, Marco Belcastro, John Barton, Liam Hennessy and Brendan O?Flynn
Athletic performance, technique assessment, and injury prevention are all important aspects in sports for both professional and amateur athletes. Wearable technology is attracting the research community?s interest because of its capability to provide rea...
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Cary A. Caro
This case study presents game-play statistics to explore their relationships between winning, conference affiliation, and styles of play. Statistics from games from 2005 to 2011 are compiled and explored using descriptive statistics, ANOVA, and Pearsons ...
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