Form - A New Cricket Statistics
American Journal of Sports Science
Volume 2, Issue 3, May 2014, Pages: 53-55
Accepted: Apr. 18, 2014; Published: Apr. 30, 2014
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Parag Shah, Dept. of Statistics, H. L. College of Commerce, Gujarat, India
Mitesh Shah, Dept. of Statistics, S.V. College, Gujarat, India
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Traditionally, evaluation of individual player performances in one-day cricket and T -20 has been based on measures such as batting and bowling averages, and strike and economy rates. Whenever a player's performance statistics are quoted, there is nearly always some verbal qualification that is necessary in order to place the statistics into context. We have found a new statistical measure –FORM, which measures the form of a player. We have used what is known as an exponentially decaying average (EDMA). In this statistic, every score is considered in the calculation, but as you go back in time, each score is discounted by a certain percentage. This means recent score is given highest importance and past scores are given less weightage. Simple logic of short term EDMA and long term EDMA is used for calculating FORM. FORM of individual players is vital as the success of the team depends on the number of players who are in form. It can be used to estimate the total team score.
Moving Average, Weighted Moving Average, Exponentially Decaying Averages
To cite this article
Parag Shah, Mitesh Shah, Form - A New Cricket Statistics, American Journal of Sports Science. Vol. 2, No. 3, 2014, pp. 53-55. doi: 10.11648/j.ajss.20140203.11
Duckworth, F.C. and Lewis, A.J. (1998). A fair method for resetting targets in one-day cricket matches. Journal of the Operational Research Society, 49: 220-227.
Duckworth, F.C. and Lewis, A.J. (2004). A successful operational research intervention in one-day cricket. Journal of the Operational Research Society, 55: 749-759.
Barr, G.D.I. and Kantor, B.S. (2004).”A criterion for comparing and selecting batsman in limited over cricket” Journal of Operation research Society, 55, 1266-1274.
Kimber, A.C. and Hansford, A.R. (1993)”A Statistical Analysis of Batting in Cricket”. J.R. Statist. Soc. A, 156, 3, 443-455
Lewis, A.C. (2006).”Towards fairer measure of player’s performance in one-day cricket” Journal of operation research society, 56,804-815.
Lemmer, H. H. (2004). “ A measure for the batting performance of cricket player “South African Journal for Research in Sport, Physical Education and Recreation Vol.26(1) , 55-64
David Harper (2009).” Exploring the Exponentially Weighted Moving Average” Investopedia.
Tsokos, C.P. (2010) “K-th Moving, Weighted and Exponential Moving Average for Time Series Forecasting Models” European journal of pure and applied mathematics, Vol. 3, No. 3, 2010, 406-416
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