Form - A New Cricket Statistics

Parag Shah; Mitesh Shah

doi:doi:10.11648/j.ajss.20140203.11

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Form - A New Cricket Statistics

Parag Shah, Mitesh Shah

Published in American Journal of Sports Science (Volume 2, Issue 3)

Received: 5 April 2014 Accepted: 18 April 2014 Published: 30 April 2014

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Abstract

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.

Published in	American Journal of Sports Science (Volume 2, Issue 3)
DOI	10.11648/j.ajss.20140203.11
Page(s)	53-55
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Moving Average, Weighted Moving Average, Exponentially Decaying Averages

References

[1]	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.
[2]	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.
[3]	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.
[4]	Kimber, A.C. and Hansford, A.R. (1993)”A Statistical Analysis of Batting in Cricket”. J.R. Statist. Soc. A, 156, 3, 443-455
[5]	Lewis, A.C. (2006).”Towards fairer measure of player’s performance in one-day cricket” Journal of operation research society, 56,804-815.
[6]	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
[7]	David Harper (2009).” Exploring the Exponentially Weighted Moving Average” Investopedia.
[8]	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
[9]	www.cricinfo.com

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APA Style

Parag Shah, Mitesh Shah. (2014). Form - A New Cricket Statistics. American Journal of Sports Science, 2(3), 53-55. https://doi.org/10.11648/j.ajss.20140203.11

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ACS Style

Parag Shah; Mitesh Shah. Form - A New Cricket Statistics. Am. J. Sports Sci. 2014, 2(3), 53-55. doi: 10.11648/j.ajss.20140203.11

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AMA Style

Parag Shah, Mitesh Shah. Form - A New Cricket Statistics. Am J Sports Sci. 2014;2(3):53-55. doi: 10.11648/j.ajss.20140203.11

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@article{10.11648/j.ajss.20140203.11,
  author = {Parag Shah and Mitesh Shah},
  title = {Form - A New Cricket Statistics},
  journal = {American Journal of Sports Science},
  volume = {2},
  number = {3},
  pages = {53-55},
  doi = {10.11648/j.ajss.20140203.11},
  url = {https://doi.org/10.11648/j.ajss.20140203.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajss.20140203.11},
  abstract = {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.},
 year = {2014}
}

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TY  - JOUR
T1  - Form - A New Cricket Statistics
AU  - Parag Shah
AU  - Mitesh Shah
Y1  - 2014/04/30
PY  - 2014
N1  - https://doi.org/10.11648/j.ajss.20140203.11
DO  - 10.11648/j.ajss.20140203.11
T2  - American Journal of Sports Science
JF  - American Journal of Sports Science
JO  - American Journal of Sports Science
SP  - 53
EP  - 55
PB  - Science Publishing Group
SN  - 2330-8540
UR  - https://doi.org/10.11648/j.ajss.20140203.11
AB  - 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.
VL  - 2
IS  - 3
ER  -

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Author Information

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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APA Style

Parag Shah, Mitesh Shah. (2014). Form - A New Cricket Statistics. American Journal of Sports Science, 2(3), 53-55. https://doi.org/10.11648/j.ajss.20140203.11

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ACS Style

Parag Shah; Mitesh Shah. Form - A New Cricket Statistics. Am. J. Sports Sci. 2014, 2(3), 53-55. doi: 10.11648/j.ajss.20140203.11

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AMA Style

Parag Shah, Mitesh Shah. Form - A New Cricket Statistics. Am J Sports Sci. 2014;2(3):53-55. doi: 10.11648/j.ajss.20140203.11

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@article{10.11648/j.ajss.20140203.11,
  author = {Parag Shah and Mitesh Shah},
  title = {Form - A New Cricket Statistics},
  journal = {American Journal of Sports Science},
  volume = {2},
  number = {3},
  pages = {53-55},
  doi = {10.11648/j.ajss.20140203.11},
  url = {https://doi.org/10.11648/j.ajss.20140203.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajss.20140203.11},
  abstract = {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.},
 year = {2014}
}

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TY  - JOUR
T1  - Form - A New Cricket Statistics
AU  - Parag Shah
AU  - Mitesh Shah
Y1  - 2014/04/30
PY  - 2014
N1  - https://doi.org/10.11648/j.ajss.20140203.11
DO  - 10.11648/j.ajss.20140203.11
T2  - American Journal of Sports Science
JF  - American Journal of Sports Science
JO  - American Journal of Sports Science
SP  - 53
EP  - 55
PB  - Science Publishing Group
SN  - 2330-8540
UR  - https://doi.org/10.11648/j.ajss.20140203.11
AB  - 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.
VL  - 2
IS  - 3
ER  -

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