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), 2014. Published by Science Publishing Group |
Moving Average, Weighted Moving Average, Exponentially Decaying Averages
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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
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
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
@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} }
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 -