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Experiments in R to compute alternative ranking methods with World Rugby teams

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RugbyRanking

Following the Six Nations 2017, I read this interesting webpage explaining how World Rugby's rating was calculated (also thanks a lot to L'Equipe for pointing out the webpage). I was then wondering how much the ranking was sensitive to the method of computation, and in particular, I was eager to test the ELO method applied to chess for instance. I am grateful to this Github repo which provides with the Web database for rugby (and more) matches: this avoided me to write text miners in order to extract the results from the World Rugby webpage.

Recomputing the ranking since 2003, and trying alternative methods of ranking:

Position Official WR ranking Alternative WR ranking ELO ranking Alternative ELO ranking
1 NZL NZL ENG NZL
2 ENG ENG NZL ENG
3 AUS AUS AUS AUS
4 IRE IRE IRE IRE
5 WAL WAL WAL FRA
6 RSA SCO FRA SCO
7 FRA RSA SCO ARG
8 SCO FRA RSA WAL
9 ARG ARG FJI RSA
10 FJI FJI GEO GEO

Ranking as on Feb, 19, 2017.

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