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International Journal of Physical Education, Sports and Health
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P-ISSN: 2394-1685 | E-ISSN: 2394-1693 | CODEN: IJPEJB

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"International Journal of Physical Education, Sports and Health"

2020, Vol. 7, Issue 3, Part F

A binary logistic model for predicting the win probability of Liverpool FC


Author(s): Dr. Deepak Paswan

Abstract: Football is known to be one of the most popular games played in the world, and when we talk about football, one can’t simply ignore the name of Liverpool FC from it, from past 2-3 years the performance of the team has gone up very significantly. There can be many factors which are responsible behind making Liverpool FC successful. So, for the purpose of the study the data of total of nine independent variables were taken form 100 matches the club played across all competitions, the variables were Shots taken on opponent, Shots taken on target, Ball possession, Passes completed, Accuracy of passes, Corners taken, Goal scored in first half, Ground (home or away), Goals scored by Mohammed Salah. Logistic regression (binary logistics) to predict the win probability of Liverpool FC, after the analysis it was found that variables like shots on target, ball possession, passes completed, goal scored in 1st half and goal scored by Mohammed Salah were included in the model for prediction of win probability of Liverpool FC.

Pages: 330-333  |  89 Views  11 Downloads

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How to cite this article:
Dr. Deepak Paswan. A binary logistic model for predicting the win probability of Liverpool FC . Int J Phys Educ Sports Health 2020;7(3):330-333.
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