After missing a week here’s what the teams looked like going into week 3 and then coming into round 4 this weeked:

Anyone hoping to find an article on Roxy Music and airport synth extraordinaire Brian Eno may want to stop reading now. E-No was a more apt description of the Elo rating system after last week’s win predictions which were right on 2 out of 6 of the fixtures. It certainly looks from last weeks scorelines (except Sarries vs Bristol) that home advantage is having more of an effect now that crowds are back.

So here we are sports fans…the start of the new prem rugby season. Let’s have a look at what our current Elo rating system is giving us for this weekend.

So my previous post looked at the maths behind Elo ratings and this post will go over how I’ve coded the rating system up in python. When I originally coded this up it was mainly to see how Elo ratings looked in the context of Prem rugby however now I plan to update them each week in light of the prem results and post predictions prior to each round. In terms of the code, in the words of Prussian field marshall Helmuth Karl Bernhard von Moltke: “No battle plan ever survives contact with the enemy.” What do I mean by this? I mean the code is probably going to change once the season starts as it was initially written to do a single piece of analysis but will need modified to make it easier to update on a weekly basis.

Mr Blue Sky - 7/10
Don’t Bring Me Down - 8/10
Evil Woman - 5/10

“…to the show that never ends, I’m so glad you could attend, come inside, come inside.”