Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)

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Prediction of IPL Match Outcome Using Machine Learning Techniques

Authors
K C Srikantaiah, Aryan Khetan, Baibhav Kumar, Divy Tolani, Harshal Patel
Corresponding Author
K C Srikantaiah
Available Online 13 September 2021.
DOI
10.2991/ahis.k.210913.049How to use a DOI?
Keywords
Cricket, Indian Premier League, Logistic Regression, Machine Learning, Prediction of match outcome, Random Forest Classifier
Abstract

India’s most popular sport is cricket and is played across all over the nation in different formats like T20, ODI, and Test. The Indian Premier League (IPL) is a national cricket match where players are drawn from regional teams of India, National Team and also from international team. Many factors like live streaming, radio, TV broadcast made this league as popular among cricket fans. The prediction of the outcome of the IPL matches is very important for online traders and sponsors. We can predict the match between two teams based on various factors like team composition, batting and bowling averages of each player in the team, and the team’s success in their previous matches, in addition to traditional factors such as toss, venue, and day-night, the probability of winning by batting first at a specified match venue against a specific team. In this paper, we have proposed a model for predicting outcome of the IPL matches using Machine learning Algorithms namely SVM, Random Forest Classifier (RFC), Logistic Regression and K-Nearest Neighbor. Experimental results showed that the Random Forest algorithm outperforms other algorithms with an accuracy of 88.10%.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)
Series
Atlantis Highlights in Computer Sciences
Publication Date
13 September 2021
ISBN
978-94-6239-428-5
ISSN
2589-4900
DOI
10.2991/ahis.k.210913.049How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - K C Srikantaiah
AU  - Aryan Khetan
AU  - Baibhav Kumar
AU  - Divy Tolani
AU  - Harshal Patel
PY  - 2021
DA  - 2021/09/13
TI  - Prediction of IPL Match Outcome Using Machine Learning Techniques
BT  - Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)
PB  - Atlantis Press
SP  - 399
EP  - 406
SN  - 2589-4900
UR  - https://doi.org/10.2991/ahis.k.210913.049
DO  - 10.2991/ahis.k.210913.049
ID  - Srikantaiah2021
ER  -