The Vikings were a good example of the lack of correlation in the NFL. They were literally average on offense and defense but had a great record.

It's possible, I'll see if I can get around to it.

I still haven't found the time. New job

Good idea

Made in R using these packages: tidyverse, ggimage, gganimate, ggthemes, nbastatR

Data from the nbastatR package

Ratings are calculated as points scored or allowed per possession

Here's the code to reproduce something similar with college football. https://github.com/bischrob/CFBAnimation

Then follow me and you will have it

That's a good idea

Interesting idea. I'm not sure how to do that.

I put in a 5 second pause, Reddit automatically cuts it out. Drives me nuts.

It makes the chart jump around too much. Sacrifices must be made.

In this case it was a constraint of the animation. Teams varied so much week to week (particularly at first) that the scales changed too much). This kept everything steady.

Pretty close, on offense certainly

Made in R with gganimate package with data from the nflfastR package. Scaled EPA is a measure of offensive and defensive efficiency.

I'll have to explore it, thanks 👍

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

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.

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."

Indeed it is weak. Slightly positive correlation with adjusted R-squared of .1

Florida International - here's a closeup of the logo http://a.espncdn.com/i/teamlogos/ncaa/500/2229.png

Made in R using these packages: cfbfastR, ggimage, tidyverse, gganimate, ggthemes.

Edit: data from ESPN using cfbfastR package

Explanation of FPI efficiency: "Team efficiencies are based on the point contributions of each unit to the team's scoring margin, on a per-play basis. The values are adjusted for strength of schedule and down-weighted for "garbage time" (based on win probability). The scale goes from 0 to 100; higher numbers are better and the average is roughly 50 for all categories. Efficiencies update daily during the season." It's basically an advanced metric designed to measure offense and defense.