Time Series and Deep Learning Approaches for Predicting English Premier League Match Outcomes

Weronika Wiechno, Bartosz Bartosik, Piotr Duch

2025

Abstract

The continuous development of tools used in football match analysis has resulted in a greater availability of game statistics, providing analysts, coaches, and researchers with with more detailed data regarding the matches played. This results in the need for more advanced algorithms for effectively processing and interpreting the available information. In the paper, the modified architecture of the Siamese Neural Networks is presented. The time series approach is incorporated to capture temporal dynamics in teams’ performance throughout analysed matches. The algorithm was compared with classifiers and deep neural networks approaches commonly used for match outcome prediction in the literature. All methods were trained and tested on two prepared datasets with the same division into train and test sets. Finally, the proposed architecture outperforms others by reaching higher overall accuracy in match prediction outcomes.

Paper Citation

in Harvard Style

Wiechno W., Bartosik B. and Duch P. (2025). Time Series and Deep Learning Approaches for Predicting English Premier League Match Outcomes. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 789-796. DOI: 10.5220/0013182500003890

in Bibtex Style

@conference{icaart25,
author={Weronika Wiechno and Bartosz Bartosik and Piotr Duch},
title={Time Series and Deep Learning Approaches for Predicting English Premier League Match Outcomes},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={789-796},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013182500003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Time Series and Deep Learning Approaches for Predicting English Premier League Match Outcomes
SN - 978-989-758-737-5
AU - Wiechno W.
AU - Bartosik B.
AU - Duch P.
PY - 2025
SP - 789
EP - 796
DO - 10.5220/0013182500003890
PB - SciTePress