One stat proves how Bears won (and Packers lost) the 2024 NFL Draft

And now winning a Super Bowl will be easy.
Arizona Cardinals v Chicago Bears
Arizona Cardinals v Chicago Bears / Quinn Harris/GettyImages

The Draft is finally over, and it seems overwhelmingly clear that there was only one winner: the Chicago Bears. And saying that has nothing to do with this being a Bears blog and everything to do with MATH. Once you have math on your side, you can't be wrong.

But it gets better. And the only thing better than the Bears winning is the Packers losing, which is great news because not only does the MATH say that the Bears were the undisputed champions of the 2024 NFL Draft, but MATH also conclusively found the Packers to be the biggest losers. Here's how.

One stat proves how Bears won (and Packers lost) the 2024 NFL Draft

On Monday, someone on Twitter named Steven Patton tweeted something. But this wasn't just any tweet. This was a MATH tweet! From someone with an M.S. in economics!

I'll be honest: I don't really know what any of this means. Weighted Position Surplus! It certainly sounds important. More important than Blind Surplus, but I also don't know what that means either. But there's an X-axis, a Y-axis, and a bunch of different colored quadrants, so that's good enough for me. I'm sold.

And now that I've looked at this chart for roughly 12 minutes, let me explain it to you with my extremely thorough understanding of its meaning:

1. The Bears won the NFL Draft. It may have been the best draft in the history of the NFL. The MATH checks out.

2. The Packers lost the NFL Draft. It definitely was the worst draft in the history of the NFL, which the MATH also checks out. When the Weighted Position Surplus value chart says your GM was the worst of all GMs, you have to just take the L. You couldn't even beat Tom Telesco.

So there you have it. Next time some Packers fan gets lippy, remember that the Weighted Position Surplus hated their draft, and so did basically everyone else. You can too. Who are we to dispute MATH.