Tag Archives: correlation

How much does Origin affect NRL club form?

Sometimes I take reader requests, although sometimes I can’t always meet the brief.

And sometimes I read or hear someone ask a question and think, “hey, that’s an interesting idea. I’ll take a look.” A while back on Inside Sport’s Dead In Goal podcast, Jeff Centenera asked how much Origin affects team form. We normally associate heavy Origin loading as corresponding with poor performance of the club team, devoid as it is of its star power and typically relying on inexperienced youngsters to fill the gaps. Being a Broncos fan, I am as familiar with this phenomenon as it is possible to be without actually playing the game.

But I thought that was a question worth working through.

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Analysis – The more competitive the season, the more bums on seats

Most rugby league commentators wouldn’t know what a linear regression is or how do one. I’m no different but I do like to compare two variables and see if they’re correlated. A scatter plot with a linear trendline and an R-squared – remember R-squared goes from 0, no correlation, to 1, perfect correlation; I usually need at least 0.2 to raise an eyebrow – is all I need to keep me entertained for hours on end.

Last week, we looked the concept of competitiveness and how to measure it. This week, I want to see if (more or less) competitiveness impacts on other aspects of the game. Using my preferred ratings gap as a proxy for how competitive a season is, this post looks at a few variables to see if they’re correlated.

If you want a specific variable looked at, give me a yell.

Draws

draws vs gap

Surprisingly, there’s no link between the number of draws and how competitive the season is. There’s basically a correlation of nothing with an R-squared of 0.03 . I think draws are more about the specific teams in question and I think golden point may play a role but the overall season competitiveness doesn’t matter.

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