Predicting Ice Hockey Results Using Machine Learning Techniques

Jeremiah Samson Chin*, Filbert Hilman Juwono, Ing Ming Chew, Saaveethya Sivakumar, W. K. Wong

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

Sport activities such as ice hockey experiences significant growth, however it is followed by lacking sports analytical techniques that enhances the success rate of ice hockey team. This study aims to analyze and compare the accuracy of various machine learning techniques in predicting ice hockey results, ultimately applying Logistic Regression to achieve higher accuracy and enhance the predictive capabilities in the sport. This study explores the prediction of field hockey scores using a number of machine learning models (ML), which were trained on data from the National Hockey League (NHL) seasons 2015-2021. The findings are presented in the form of confusion matrices, which contain number values to summarise accurate and inaccurate predictions according to class. To train the model, all of its features were carefully looked at and the most useful ones were drawn. It is shown that match-specific data, such as the features of home and away matches, is helpful to the model. The analysis result shows that the improved accuracy in predicting the outcome of ice hockey games, whereby the logistic regression model has the highest accuracy at 77.82% and therefore recommended for use in future analysis.

Original languageEnglish
Title of host publication2023 International Conference on Digital Applications, Transformation and Economy, ICDATE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350310689
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event2023 International Conference on Digital Applications, Transformation and Economy, ICDATE 2023 - Miri, Sarawak, Malaysia
Duration: 14 Jul 202316 Jul 2023

Publication series

Name2023 International Conference on Digital Applications, Transformation and Economy, ICDATE 2023

Conference

Conference2023 International Conference on Digital Applications, Transformation and Economy, ICDATE 2023
Country/TerritoryMalaysia
CityMiri, Sarawak
Period14/07/2316/07/23

Fingerprint

Dive into the research topics of 'Predicting Ice Hockey Results Using Machine Learning Techniques'. Together they form a unique fingerprint.

Cite this