Squad selection for cricket team using machine learning algorithms
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
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Brac University
2019
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| Online dostop: | http://hdl.handle.net/10361/12296 |
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10361-122962022-01-26T10:21:46Z Squad selection for cricket team using machine learning algorithms Malek, Meraj-Bin- Badhan, Rakib Hasan Shesir, Mohaiminul Islam Fakir, Nazmul Haque Arif, Hossain Department of Computer Science and Engineering, Brac University Cricket Algorithms Computer algorithms. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 53-54). There are mainly three renowned formats of cricket – ODI (One Day International), Test Match and T20 (Twenty Twenty). Selecting a 15 men perfect squad for a particular cricket match in a particular cricket tournament isn’t an easy task. Coach and captain play a vital role to select the most perfect players for a match to win by keeping many parameters in their head such as – analyzing the past scored runs comparing with the balls faced, strike rate, total 50’s , total 100’s, whether the player is right handed or left handed, against which team she/ he has scored well enough (for batsman). Analyzing the past conceded runs comparing with the overs she/ he had taken, economy rate, strike rate, wickets, against which team she/ he has performed well, pitch condition, venue etc. In this paper, we have taken maximum number of parameters in consideration for selecting 1 captain (for captaincy issue), 6 batsmen (top-order, middle-order and finisher), 2 all-rounders, 1 wicket keeper and 5 bowlers (fast bowlers, spinners). Our model can be extended for the team selection in other formats of cricket too. We have used k-means clustering, Linear Regression, Naive Bayes and Page Rank algorithms for selecting batsmen and all-rounders. Support Vector Machine, Naive Bayes, Linear Regression, Decision Tree and RankSVM have been used for selecting bowlers. We have used Bar Graph to show the statistics of different parameters for both captain and wicket-keeper. Our motive is to recommend 15 men squad for a cricket team to the selectors. Meraj-Bin-Malek Rakib Hasan Badhan Mohaiminul Islam Shesir Nazmul Haque Fakir B. Computer Science and Engineering 2019-07-02T09:47:24Z 2019-07-02T09:47:24Z 2018 2018-10 Thesis ID 14101238 ID 14101212 ID 13201041 ID 17241019 http://hdl.handle.net/10361/12296 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 54 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Cricket Algorithms Computer algorithms. |
| spellingShingle |
Cricket Algorithms Computer algorithms. Malek, Meraj-Bin- Badhan, Rakib Hasan Shesir, Mohaiminul Islam Fakir, Nazmul Haque Squad selection for cricket team using machine learning algorithms |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. |
| author2 |
Arif, Hossain |
| author_facet |
Arif, Hossain Malek, Meraj-Bin- Badhan, Rakib Hasan Shesir, Mohaiminul Islam Fakir, Nazmul Haque |
| format |
Thesis |
| author |
Malek, Meraj-Bin- Badhan, Rakib Hasan Shesir, Mohaiminul Islam Fakir, Nazmul Haque |
| author_sort |
Malek, Meraj-Bin- |
| title |
Squad selection for cricket team using machine learning algorithms |
| title_short |
Squad selection for cricket team using machine learning algorithms |
| title_full |
Squad selection for cricket team using machine learning algorithms |
| title_fullStr |
Squad selection for cricket team using machine learning algorithms |
| title_full_unstemmed |
Squad selection for cricket team using machine learning algorithms |
| title_sort |
squad selection for cricket team using machine learning algorithms |
| publisher |
Brac University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/12296 |
| work_keys_str_mv |
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| _version_ |
1814309419097260032 |