Interactive version: https://bischrob.github.io/RScripts/public/CBB-BPI-widget.html

Made in R using ggplot and plotly (for the interactive version) with data from ESPN.com

BPI explanation: "The Men's College Basketball Power Index (BPI) is a measure of team strength that is meant to be the best predictor of performance going forward. BPI represents how many points above or below average a team is."

Haven't teams only played like 2 games this season?

Indeed, I plan on making this a weekly update, next week's data will be animated to show the difference from one week to another.

Have you considered rotating this 45 degrees counterclockwise?

I've seen a couple people do that but I'm not sure how I feel about it. I assume it's your preference?

kenpom started rotating their equivalent graph a few years ago and I think it makes sense, if the main takeaway is who are the top and bottom teams.

Doing it your way is probably better if the main intent is to see who are the good and bad teams at either offense or defense. However its harder for some viewers to visual overall team strength correctly without the rotation.

I'll have to explore it, thanks 👍