Abstract
Cricket is one of the most popular game in the world. This game has been played between two teams; every team has 11 players. Every cricket team in the world belongs to a country having a cricket board that selects the best players and manage the team activities. Cricket matches are of three forms One-Day International (ODI) cricket matches, First class or Test Matches and T-20 matches. The main issue in this game is to selects the best suitable players for the team and ranks them according to their performance. We mainly focus on Pakistan's One-day International ODI cricket players ranking. We proposed a method that consist of statistical formulas apply to the significant features of current players in Pakistan's One-Day International ODI cricket and rank them according to the rank score calculated by our method. For the implementation, we make application named TeamMaker that automatically scarp the information, and after applying our algorithm display, the results in the form of ranking tables. Similarly, ranking tables also available on the International Cricket Council ICC website, and too many researchers rank the cricket players of all teams in the world with different algorithms. Still, these methods are universal and not for a specific country. Our methodology based on link fusion that focuses on single country Pakistan with 27 One-Day International (ODI) cricket players that are currently available for the team. This application selects the exclusive features that are affected by their performance. TeamMaker application displays a ranking table based on these features. In the end, we compare and analyze the players ranking results of our methodology with the players ranking of International Cricket Council ICC. Our findings show that previous universal ranking methods neglect many countries and other prominent features of players, that's why many cricket player does not present in ranking tables.
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