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The Use of Momentum-Inspired Features in Pre-Game Prediction Models for the Sport of Ice Hockey Cover

The Use of Momentum-Inspired Features in Pre-Game Prediction Models for the Sport of Ice Hockey

International Journal of Computer Science in Sport
Volume 23 (2024): Issue 1 (February 2024)
By: Jordan T.P. Noel,  Vinicius Prado da Fonseca and  Amilcar Soares  
Open Access
|Feb 2024

Authors

Jordan T.P. Noel

Department of Computer Science, Memorial University of Newfoundland and Labrador, St. John’s, Canada

Vinicius Prado da Fonseca

Department of Computer Science, Memorial University of Newfoundland and Labrador, St. John’s, Canada

Amilcar Soares

Department of Computer Science and Media Technology, Linnaeus University, Växjö, Sweden
DOI: https://doi.org/10.2478/ijcss-2024-0001 | Journal eISSN: 1684-4769
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Language: English
Page range: 1 - 21
Published on: Feb 24, 2024
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
MOMENTUM,
ICE HOCKEY,
NHL,
PREDICTION,
APPLIED MACHINE LEARNING
Related subjects:
Computer sciences,
Databases and data mining,
Computer sciences, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 2024 Jordan T.P. Noel, Vinicius Prado da Fonseca, Amilcar Soares, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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