Table of Content

Open Access iconOpen Access

ARTICLE

crossmark

Context Based Adoption of Ranking and Indexing Measures for Cricket Team Ranks

Raja Sher Afgun Usmani1, Syed Muhammad Saqlain Shah1, *, Muhammad Sher Ramzan2, Abdullah Saad AL-Malaise AL-Ghamdi2, Anwar Ghani1, Imran Khan1, Farrukh Saleem2

1 Department of CS&SE, International Islamic University, H-10 Sector, Islamabad, 44000, Pakistan.
2 Department of Information System, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.

* Corresponding Author: Syed Muhammad Saqlain Shah. Email: email.

Computers, Materials & Continua 2020, 65(2), 1113-1136. https://doi.org/10.32604/cmc.2020.010789

Abstract

There is an international cricket governing body that ranks the expertise of all the cricket playing nations, known as the International Cricket Council (ICC). The ranking system followed by the ICC relies on the winnings and defeats of the teams. The model used by the ICC to implement rankings is deficient in certain key respects. It ignores key factors like winning margin and strength of the opposition. Various measures of the ranking concept are presented in this research. The proposed methods adopt the concepts of h-Index and PageRank for presenting more comprehensive ranking metrics. The proposed approaches not only rank the teams on their losing/winning stats but also take into consideration the margin of winning and the quality of the opposition. Three cricket team ranking techniques are presented i.e., (1) Cricket Team-Index (ct-index), (2) Cricket Team Rank (CTR) and (3) Weighted Cricket Team Rank (WCTR). The proposed metrics are validated through the collection of cricket dataset, extracted from Cricinfo, having instances for all the three formats of the game i.e., T20 International (T20i), One Day International (ODI) and Test matches. The comparative analysis between the proposed and existing techniques, for all the three formats, is presented as well.

Keywords


Cite This Article

APA Style
Usmani, R.S.A., Shah, S.M.S., Ramzan, M.S., AL-Ghamdi, A.S.A., Ghani, A. et al. (2020). Context based adoption of ranking and indexing measures for cricket team ranks. Computers, Materials & Continua, 65(2), 1113-1136. https://doi.org/10.32604/cmc.2020.010789
Vancouver Style
Usmani RSA, Shah SMS, Ramzan MS, AL-Ghamdi ASA, Ghani A, Khan I, et al. Context based adoption of ranking and indexing measures for cricket team ranks. Comput Mater Contin. 2020;65(2):1113-1136 https://doi.org/10.32604/cmc.2020.010789
IEEE Style
R.S.A. Usmani et al., "Context Based Adoption of Ranking and Indexing Measures for Cricket Team Ranks," Comput. Mater. Contin., vol. 65, no. 2, pp. 1113-1136. 2020. https://doi.org/10.32604/cmc.2020.010789



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 2831

    View

  • 1683

    Download

  • 0

    Like

Related articles

Share Link