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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2017: Artificial Intelligence and Soft Computing pp 280–291Cite as

TLGProb: Two-Layer Gaussian Process Regression Model for Winning Probability Calculation in Two-Team Sports

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10246))

Abstract

Sports analytics is gaining much attention in the research community nowadays. This paper deals with a prominent problem in sports analytics, namely, winning probability calculation. In particular, we focus on the two-team sports. A novel model called TLGProb is proposed by stacking a non-linear regression model – Gaussian process regression (GPR) to address complex association between match outcomes and players’ performances. For evaluation, we selected a popular sports event around the world – National Basketball Association (NBA) as the domain for experiments. Finally, using TLGProb, we correctly predicted 85.28% of outcomes among 1,230 matches in NBA 2014/2015 season.

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Notes

  1. 1.

    https://github.com/MaxInGaussian/TLGProb.

  2. 2.

    http://www.basketball-reference.com.

  3. 3.

    http://www.seleniumhq.org.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong

    Max W. Y. Lam

Authors
  1. Max W. Y. Lam
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Corresponding author

Correspondence to Max W. Y. Lam .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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© 2017 Springer International Publishing AG

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Lam, M.W.Y. (2017). TLGProb: Two-Layer Gaussian Process Regression Model for Winning Probability Calculation in Two-Team Sports. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science(), vol 10246. Springer, Cham. https://doi.org/10.1007/978-3-319-59060-8_26

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  • DOI: https://doi.org/10.1007/978-3-319-59060-8_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59059-2

  • Online ISBN: 978-3-319-59060-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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