Analysis of AFL Results from year 2012 – 2017 using Massey Constant Rating models
Keerthi Prasad K1, Nithya Preetha2, P. S. Rajeswari3
1Dr. Keerthi Prasad K, Research Scholar, RMIT, Australia.
2Dr. Nithya Preetha P, Assistant, Professor, School of Management, SRM Institute of Science and Technology, Kattan kulathur, Tamil Nadu, India.
3Dr.P.S.Rajeswari, Associate, Professor, School of Management, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
Manuscript received on 30 June 2019 | Revised Manuscript received on 06 July 2019 | Manuscript published on 30 July 2019 | PP: 2475-2482 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8817078919/19©BEIESP | DOI: 10.35940/ijitee.I8817.078919
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Australian rules football is a vibrant sport, based on the principle of territorial foray. It adorns with both a large playing field and more number of participants predominantly athletes who are dynamic with multifaceted skills. The research consists of the score data analysis for the years 2012 to 2017. s.From the given score data of the 18 AFL playing teams, it was required to build severable working Massey Constant Rating models to come up with the structured report and understanding of the performance of the teams and interpretation various results from the analysis. Primarily, it was noted that the home advantage does have an impact on the well performing teams. Then the teams’ ratings were calculated based on the standard rating value of 100 to initiate our analysis and calculation to find the actual ratings.It reveals interesting observations about the teams’ performance based ratings and their consistency. Facts show critical aspects of the home advantage and the evenness of the competition for the past six year
keyword: Consistency, Criticality, Massey constant ratings, Performance.
Scope of the Article: Predictive Analysis