IPL Data Analysis and Prediction Using Machine Learning

Authors

  • Dr. Vilas Joshi  Assistant Professor, Department of Computer Engineering, ISBM College of Engineering, Pune, Maharashtra, India
  • Yash Padol  Student, Department of Computer Engineering, ISBM College of Engineering, Pune, Maharashtra, India
  • Kaiwalya Sevekar  Student, Department of Computer Engineering, ISBM College of Engineering, Pune, Maharashtra, India
  • Chandan Sinha  Student, Department of Computer Engineering, ISBM College of Engineering, Pune, Maharashtra, India
  • Rizwan Shaikh  Student, Department of Computer Engineering, ISBM College of Engineering, Pune, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT2390359

Keywords:

Abstract

The Indian Premier League (IPL) is a highly attended T20 cricket league founded by the Board of Control for Cricket in India (BCCI) in 2008. Valued at $6.7 billion in 2019, the IPL remains the most popular cricketing event in the world, even amidst the COVID-19 pandemic. Cricket is a beloved sport in India and enjoys significant media attention and financial investment. With the rise of technology, audiences can access affordable live streaming of matches from anywhere. Cricket analytics, powered by tools like NumPy, allow for the use of data to improve performance, study business opportunities, and provide insights and predictive intelligence on game outcomes.

References

  1. G. Sudhamathy and G. Raja Meenakshi, “PREDICTION ON IPL DATA USING MACHINE LEARNING” ICTACT JOURNAL ON SOFT COMPUTING,OCTOBER 2020.
  2. Aminulislamanik, SakifYeaser, A.G.M. Imam Hussain, AmitabhaChakrabarty, “Player’s Performance Prediction in ODI Cricket Using Machine Learning Algorithms,”BRAC university,2019.
  3. KilariJaswanth, KenchamArun, B Deva Deekshith, KilariAshwik, Pavithra J, “Analyzing and Predicting Outcomes of IPL Cricket Data,”IRJET Volume: 09 Issue: 03, Mar 2022.
  4. D. Jyothsna, K. Srikanth, “Analyzing and Predicting outcome of IPL Cricket Data”, International Journal of Innovative Research in Science, Engineering and Technology,Vol. 8, Issue 4, April 2019.
  5. SiddharthSinha, PrakashTripathi, AakashVishwakarma, Prof. AmrutaSankhe, “IPL Win Prediction System To Improve Team Performance using SVM.,”International Journal of Future Generation Communication and Networking Vol. 13, No. 1s, (2020), pp. 17- 23
  6. Ruchitha M and Dr. Preeti Savant, “IPL WINNER PREDICTION USING ML ALGORITHMS”,IJEASTVol. 6, Issue 9, January 2022
  7. RabindraLamsal and Ayesha Choudhary, “Predicting Outcome of Indian Premier League (IPL) Matches Using Machine Learning”, arXiv:1809.09813 [stat.AP] (September 2018)
  8. S. Abhishek, Ketaki V. Patil, P. Yuktha and S. Meghana,“Predictive Analysis of IPL Match Winner using Machine Learning Techniques”,International Journal of Innovative Technology and Exploring Engineering, Vol. 9, No. 1, pp.430-435, 2019.
  9. Vistro, Daniel, Leo Gertrude David,“The cricket winner prediction with application of machine learning and data analytics,”International Journal of Scientific and Technology Research, Volume 8, Issue 09, 2019.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-06-30

Issue

Volume 9, Issue 3, May-June-2023

Section

Research Articles

License

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. Vilas Joshi, Yash Padol, Kaiwalya Sevekar, Chandan Sinha, Rizwan Shaikh, " IPL Data Analysis and Prediction Using Machine Learning, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 3, pp.205-208, May-June-2023. Available at doi : https://doi.org/10.32628/CSEIT2390359