The “curse of the bye” revisited

[This article was first published on R – What You're Doing Is Rather Desperate, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

A while ago we looked at Geelong and the curse of the bye. And since the AFL media have outdone themselves this year with “curse of the bye” articles: see for example here, here, here and here, I decided to revisit the topic in more depth.

If you like that kind of thing head over to the report at Github. It has lots of charts like this one.

Executive summary: once you take into account scheduling and expected results, there’s little if any evidence for significantly more losses coming off a bye round. I doubt that will prevent the same spate of articles next season.

To leave a comment for the author, please follow the link and comment on their blog: R – What You're Doing Is Rather Desperate.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)