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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Predicting a T20 cricket match result while the match is in progress

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    Date
    2015-08-23
    Publisher
    BRAC University
    Author
    Munir, Fahad
    Hasan, Md. Kamrul
    Ahmed, Sakib
    Md. Quraish, Sultan
    Metadata
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    URI
    http://hdl.handle.net/10361/4372
    Abstract
    Data Mining and Machine learning in Sports Analytics, is a brand new research field in Computer Science with a lot of challenge. In this research the goal is to design a result prediction system for a T20 cricket match while the match is in progress. Different machine learning and statistical approach were taken to find out the best pos- sible outcome. A very popular data mining algorithm, decision tree were used in this research along with Multiple Linear Regression in order to make a comparison of the results found. These two model are very much popular in predictive modeling. Forecasting a T20 cricket match is a challenge as the momentum of the game can change dras- tically at any moment. As no such work has done regarding this for- mat of cricket, we have decided to take the challenge as T20 cricket matches are very much popular now a days. We are using decision tree algorithm to design our forecasting system by depending on the previous data of matches played between the teams. This system will help the teams to take major decision when the match is in progress such as when to send which batsman or which bowler to bowl in the middle overs. It significantly expands the exposure of research in sports analytics as it was previously bound between some other selected sports.
    Keywords
    Computer science and engineering; T20 cricket; Data mining; Forecasting; Results; IPL; Linear Regression; Machine learning
     
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 55-56).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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