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  Published Paper Details:

  Paper Title

CRICKET SCORE PREDICTION

  Authors

  Prasad Thorat,  Vighnesh Buddhivant,  Yash Sahane

  Keywords

Cricket, Machine learning, Linear regression, Runs scored, Prediction, IPL, Winning probability, Random Forest Regression.

  Abstract


Nowadays the final score of the first innings of any cricket match is predicted using CRR (Current Run Rate) method. The number of average runs scored in an over is multiplied by the total number of overs to get the final score. These kinds of systems are not useful when the T20 matches are considered because in T20 cricket the match can change its state very quickly irrespective of current run rate. The match can change within 1 or 2 overs. So, to get an accurate score prediction we should have a system that can predict the first innings score more effectively. Lots of people like watching cricket and they also like to predict the final score. This research paper focuses on an accurate prediction of cricket scores for live IPL matches considering the previous dataset available and also considers the various factors that play an important role in the score prediction.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2105677

  Paper ID - 207524

  Page Number(s) - g169-g175

  Pubished in - Volume 9 | Issue 5 | May 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Prasad Thorat,  Vighnesh Buddhivant,  Yash Sahane,   "CRICKET SCORE PREDICTION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.g169-g175, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105677.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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