Version 1
: Received: 25 December 2023 / Approved: 26 December 2023 / Online: 26 December 2023 (14:20:34 CET)
How to cite:
ul Ain, N.; Ashraf, H.; Jhanjhi, N. Prediction for Pakistan Super League Using Machine Learning Techniques: A Survey. Preprints2023, 2023121995. https://doi.org/10.20944/preprints202312.1995.v1
ul Ain, N.; Ashraf, H.; Jhanjhi, N. Prediction for Pakistan Super League Using Machine Learning Techniques: A Survey. Preprints 2023, 2023121995. https://doi.org/10.20944/preprints202312.1995.v1
ul Ain, N.; Ashraf, H.; Jhanjhi, N. Prediction for Pakistan Super League Using Machine Learning Techniques: A Survey. Preprints2023, 2023121995. https://doi.org/10.20944/preprints202312.1995.v1
APA Style
ul Ain, N., Ashraf, H., & Jhanjhi, N. (2023). Prediction for Pakistan Super League Using Machine Learning Techniques: A Survey. Preprints. https://doi.org/10.20944/preprints202312.1995.v1
Chicago/Turabian Style
ul Ain, N., Humaira Ashraf and NZ Jhanjhi. 2023 "Prediction for Pakistan Super League Using Machine Learning Techniques: A Survey" Preprints. https://doi.org/10.20944/preprints202312.1995.v1
Abstract
Cricket, the most popular sports in the world to chase by the fans. Many cricket fans are interested in analyzing the elements and activities that affect the outcomes of matches. Machine learning in sports analytics is a relatively new topic in computer science. The purpose of this survey is to anticipate the outcome of a PSL champion team and build a winning strategy. Machine learning (ML) has exhibited favorable outcomes in a variety of sectors for diverse prediction using classification, regression, and so on, and is proven to be accurate. The innovative frameworks based on ML have the ability to learn from previous experiences. The cricket pitch is the most important aspect, alongside home game an edge, coin toss, innings of play, day/night match, physical conditioning, and dynamic plans, among other things. The dataset from previously ESPN Cricifno was used for this purpose. Recent classification approaches including, Random Forest, Gradient Boost, Deep Neural Networks used to conduct a comparative analysis based on their results and performances, as well as team strategies.
Keywords
Prediction; Machine Learning; Cricinfo
Subject
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
