![](https://i0.wp.com/keithlyons.me/wp-content/uploads/2019/05/EloAE9.jpeg?resize=630%2C439&ssl=1)
Each week, I monitor the NRL in Australia and await eagerly Pythago NRL’s (link) update of NRL Elo Ratings (link).
I am fascinated that the author is able to call upon Archimedes and Eratosthenes to help with the ratings (link).
I use RStudio to help visualise the data each week. My week 9 example using ggplot2 and ggrepel is:
![](https://i0.wp.com/keithlyons.me/wp-content/uploads/2019/05/Form9.jpeg?resize=630%2C439&ssl=1)
Pythago NRL gives me a great opportunity to track which teams are performing well. I am delighted that the system uses Elo ratings. I find the use of median profiles particularly helpful too.