Paper Title
Statistical Hack to Win a F1 Fantasy Sport: A Retrospective Approach
Article Identifiers
Authors
Uma G , Premkumar K
Keywords
Fantasy Sport, Fan Engagement, Scaling of Ranks, Normal Probability Curve
Abstract
Abstract Fantasy sport is an online virtual game where the gamer’s line up players within the credit point limit allotted to the individual players. According to Cambridge Dictionary, ‘a fantasy sport is a game in which you choose a team of real sports players from different teams and win points according to how well the players play each week’. There have been various steps taken by franchises and sports organizers to increase fan engagement, and the upsurge of fantasy sports in India has laid down a way to actively involve fans in the game. Popular leagues such as EPL, NFL, NHL, IPL, etc. use Fantasy sports for fan engagement. Besides engagement some fantasy platform allows participants to earn money as well. This paper describes review fantasy sport and a retrospective approach of using recent stats of a player/team to build a fantasy team. An algorithm is framed using the statistical method with Scaling of Ranks in terms of the Normal probability curve. This method gives a rank order of players in decreasing selection importance and more appropriate than any other mode of selection of players.
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How To Cite
"Statistical Hack to Win a F1 Fantasy Sport: A Retrospective Approach ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 7, page no.286-293, July-2022, Available :https://ijnrd.org/papers/IJNRD2207035.pdf
Issue
Volume 7 Issue 7, July-2022
Pages : 286-293
Other Publication Details
Paper Reg. ID: IJNRD_181965
Published Paper Id: IJNRD2207035
Downloads: 000121134
Research Area: Other
Country: Coimbatore, Tamil Nadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2207035.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2207035
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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