Integrating Advanced Statistics to Predict the Outcome of National Basketball Association Games with Machine Learning

Sports stats and analysis has been propelled by sports fans through the ages. It has evolved into a much more complex and technologically advanced system of statistical encapsulation. Due to a plethora of data available and computerization of these data, the demand for sports advice and evaluation h...

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Bibliographic Details
Published in:ECS transactions 2022-04, Vol.107 (1), p.15263-15272
Main Authors: J Krishnan, Nakul, Suresh, Rishab, Vashisht, Somya, S Saligram, Sachin, DAS, Sunanda
Format: Article
Language:English
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Summary:Sports stats and analysis has been propelled by sports fans through the ages. It has evolved into a much more complex and technologically advanced system of statistical encapsulation. Due to a plethora of data available and computerization of these data, the demand for sports advice and evaluation has drastically increased. The National Basketball Association (NBA) has acclimatized to these standards. In this study, win-loss percentage for hybrid basketball game scheme was calculated using designed features. The study takes 10 NBA seasons into account ranging from 2010-2021. Using 3 seasons of NBA data was deduced to be the right method. Hence, this can help calculate an accurate model for the season to follow. The final win-loss percentage was predicted by logistic regression, artificial neural networks (ANN).
ISSN:1938-5862
1938-6737
DOI:10.1149/10701.15263ecst