A Primer on a Flexible Bivariate Time Series Model for Analyzing First and Second Half Football Goal Scores: The Case of the Big 3 London Rivals in the EPL

Yuvraj Sunecher, Naushad Mamode Khan, Vandna Jowaheer, Marcelo Bourguignon () and Mohammad Arashi
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Yuvraj Sunecher: University of Technology Mauritius
Naushad Mamode Khan: University of Mauritius
Vandna Jowaheer: University of Mauritius
Marcelo Bourguignon: Universidade Federal do Rio Grande do Norte
Mohammad Arashi: Shahrood University of Technology

Annals of Data Science, 2019, vol. 6, issue 3, No 8, 548 pages

Abstract: Abstract The ranking of some English Premier League (EPL) clubs during football season is of keen interest to many stakeholders with special attention to the London rivals: Arsenal, Chelsea and Tottenham. In particular, the first (GF) and second half (GS) scores, besides being inter-related, is perceived as a convenient measure of the clubs potential. This paper studies the contributory effects of the possible factors that commonly influence the club scoring capacity in the halves along with forecasted measures diagnostics via a novel flexible bivariate time series model with COM-Poisson innovations using data from August 2014 to December 2017.

Keywords: BINAR(1); Non-stationary; COM-Poisson; GQL; First half and second half goals (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s40745-018-0180-1

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