Cricket Score Forecasting using Neural Networks

  • Gupta P
  • Joshi N
  • Tahlan R
  • et al.
N/ACitations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Today, Sports is not what it used to be a decade ago. Technologies like Machine Learning and Artificial Intelligence have dominated it. Now there are sensors in all types of sports equipment like cricket bats, stumps, flannels, etc., which analyse the data and provide analytics, which may or may not be helpful, but we, as spectators, thoroughly enjoy the game. The terms such as Cric-Science (Cricket + Data Science) and Cricket Analytics are the fruit of ML/AI. In the last decade alone, cricket has witnessed many changes, such as the addition of a new format like T10, which is yet to be recognised by ICC, along with the introduction of many other international leagues such as IPL, BBL, PSL, CPL, apart from the widely recognised formats like Test Match, One day International and T20. With so much cricket played, the data generated is also massive. But even with these technological advancements, run rate is conventionally used to predict a team’s score in the upcoming overs. So, in this research paper, we aim to predict a team’s score using Neural Network by using the data from past balls.

Cite

CITATION STYLE

APA

Gupta, P., Joshi, N. S., Tahlan, R., Gupta, D., & Agrawal, S. (2021). Cricket Score Forecasting using Neural Networks. International Journal of Engineering and Advanced Technology, 10(5), 366–369. https://doi.org/10.35940/ijeat.e2821.0610521

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free