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Reseach Article

MAYO Index for Deep Analytics of Price and Performance of IPL Players

by C. Deep Prakash, C. Patvardhan, C. Vasantha Lakshmi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 150 - Number 2
Year of Publication: 2016
Authors: C. Deep Prakash, C. Patvardhan, C. Vasantha Lakshmi
10.5120/ijca2016911464

C. Deep Prakash, C. Patvardhan, C. Vasantha Lakshmi . MAYO Index for Deep Analytics of Price and Performance of IPL Players. International Journal of Computer Applications. 150, 2 ( Sep 2016), 37-44. DOI=10.5120/ijca2016911464

@article{ 10.5120/ijca2016911464,
author = { C. Deep Prakash, C. Patvardhan, C. Vasantha Lakshmi },
title = { MAYO Index for Deep Analytics of Price and Performance of IPL Players },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 150 },
number = { 2 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 37-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume150/number2/26069-2016911464/ },
doi = { 10.5120/ijca2016911464 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:54:53.168106+05:30
%A C. Deep Prakash
%A C. Patvardhan
%A C. Vasantha Lakshmi
%T MAYO Index for Deep Analytics of Price and Performance of IPL Players
%J International Journal of Computer Applications
%@ 0975-8887
%V 150
%N 2
%P 37-44
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a new MAYO Index is presented for deeper analytics of the price and performance of IPL players in IPL season IX. The MAYO index is comprehensive in terms of including both price and performance in one index. This is in contrast to the popular indices like batting and bowling averages and MVPI that only measure performance. The index is created with the help of machine learning technique called Random Forests. The analytics provide deeper insight into the complex problem of understanding how the performance of the players of different franchises and countries was and provides clues for better management practices in terms of player acquisition. The players to watch for in future are clearly identified and so are those who did not perform according to expectations.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cricket IPL Random Forests Data Analytics