Paper Info
Title
Sports Analytics algorithms for performance prediction
Abstract
Sports Analytics is an emerging research area with several applications in a variety of fields. These could be, for example, the prediction of an athlete's or a team's performance, the estimation of an athlete's talent and market value, as well as the prediction of a possible injury. Teams and coaches are increasingly willing to embed such “tools” in their training, in order to improve their tactics. This paper reviews the literature on Sports Analytics and proposes a new approach for prediction. We conducted experiments using suitable algorithms mainly on football related data, in order to predict a player's position in the field. We also accumulated data from past years, to estimate a player's goal scoring performance in the next season, as well as the number of a player's shots during each match, known to be correlated with goal scoring probability. Results are very promising, showcasing high accuracy, particularly as the predicted number of goals was very close to the actual one.
Year
DOI
Venue
2019
10.1109/IISA.2019.8900754
2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)
Keywords
DocType
ISSN
Sports Analytics,Prediction,data mining,classification.
Conference
2379-3732
ISBN
Citations 
PageRank 
978-1-7281-4960-8
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Konstantinos Apostolou100.34
Christos Tjortjis217324.40