Prediction and Analysis of Franchise Cricket


Authors : Rayini Arun Kumar Reddy; Sahith kumar Reddy; T Sushmitha

Volume/Issue : Volume 10 - 2025, Issue 1 - January


Google Scholar : https://tinyurl.com/mr37fptp

Scribd : https://tinyurl.com/4rs4y7fb

DOI : https://doi.org/10.5281/zenodo.14603646


Abstract : In our present world, sports produce a very large amount of statistical data. What makes cricket different from other sports is the number of variables involved in it right from the pitch to conditions playing under, a breeze to the length of the boundary line and likewise many other which makes every game has its prominence maybe that’s the reason haven’t got bored of the game though it is more than 100 years old. From the day we started using analytics in cricket to today the game evolved massively, it changed the way the players, coaches look at the game and it brought a new dimension to the game. IPL has been a carnival of cricket and showing the potential of cricket to the world and acted as a bridge in carrying the game to a wider range of audiences. In present-day IPL we are using every statistic that’s available because of the high competitiveness of the tournament. This project is a sincere effort to find hidden insights in the IPL by using the data of previous seasons.

References :

  1. Haghighat, M., Rastegari, H. and Nourafza, N., 2013. A review of data mining techniques for result prediction in sports. Advances in Computer Science: an International Journal, 2(5), pp.7-12.
  2. Vistro, D.M., Rasheed, F. and David, L.G., The Cricket Winner Prediction With Application Of Machine Learning And Data Analytics.
  3. Dey, P.K., Chakraborty, G., Ruj, P. and Sarkar, S., 2012. A Data Mining Approach on Cluster Analysis of IPL. International Journal of Machine Learning and Computing, 2(4), p.351.
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  7. D. Thenmozhi, P. Mirunalini, S. M. Jaisakthi, S. Vasudevan, V. Veeramani Kannan and S. Sagubar Sadiq, "MoneyBall - Data Mining on Cricket Dataset," 2019 International Conference on Computational Intelligence in Data Science (ICCIDS), Chennai, India, 2019, pp. 1-5.
  8. K. Jain, M. N. Murty and P. J. Flynn, “Data Clustering: A Review,” ACM Computing Surveys, Vol. 31, No. 3, September 1999, pp. 264-323.
  9. Kimber, Alan C., and Alan R. Hansford. “A Statistical Analysis of Batting in Cricket.” Journal of the Royal Statistical Society. Series A (Statistics in Society), vol. 156, no. 3, 1993, pp. 443–455. JSTOR, www.jstor.org/stable/2983068. Accessed 28 Feb. 2020.
  10. Manage, Ananda & Butar Butar, Ferry. (2007). Statistical analysis in one-day cricket. Proc. Amer. Statist. Assoc.. 2600-2605.

In our present world, sports produce a very large amount of statistical data. What makes cricket different from other sports is the number of variables involved in it right from the pitch to conditions playing under, a breeze to the length of the boundary line and likewise many other which makes every game has its prominence maybe that’s the reason haven’t got bored of the game though it is more than 100 years old. From the day we started using analytics in cricket to today the game evolved massively, it changed the way the players, coaches look at the game and it brought a new dimension to the game. IPL has been a carnival of cricket and showing the potential of cricket to the world and acted as a bridge in carrying the game to a wider range of audiences. In present-day IPL we are using every statistic that’s available because of the high competitiveness of the tournament. This project is a sincere effort to find hidden insights in the IPL by using the data of previous seasons.

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