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Titlebook: Cricket Performance Management; Mathematical Formula Hemanta Saikia,Dibyojyoti Bhattacharjee,Diganta Mu Book 2019 Springer Nature Singapore

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楼主: IU421
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Marketingtheoretische Grundlagenhere teams were formed by franchisee through competitive bidding. The chapter deals with the origin of this new dimension of cricket and the process through which each cricketer is associated with a price tag. The different models of players’ bidding in general, used in other franchisee sports, and
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Fazit der theoretischen Betrachtungenet team, every player in the playing eleven is expected to perform well whether he is a batsman or bowler or all-rounder or wicket keeper. Since cricket is a game of uncertainty, sometimes players are unable to give his optimal performance for the team. Quantification of the performance of cricketer
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Christoph Moss,Jill-Catrin Heurichhapter deals with how the performances of cricketers are associated with their age. The estimation of peak performing age of the cricket players is executed for Twenty20 cricket only, with special reference to the tournament Indian Premier League (IPL). The optimum level of performance of the cricke
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Christoph Moss,Jill-Catrin Heurich. The difficulty level, under which the team is performing, is quantified introducing a measure called as the pressure index in the chapter. The pressure index is an inclusive measure that can be utilized to measure batting performance both individually and between partners, bowling performance, det
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from a host of cricketers of varied expertise. Though it is an example from cricket, the same exercise can be modeled to select optimum teams for other team sports. In order to do that one has to identify the measures of performance and requirement of players of different expertise in those sports
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https://doi.org/10.1007/978-981-15-1354-1Cricket Analytics; Sports Data Mining; Statistics; Quantitative Data Analysis; Performance Measurement; D
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