and Hey everybody welcome to another episode of Purple Insider Matthew Collar here and from

Sumer Sports both Paige Seth and Eric Eager joining me for a special episode

where we dive deep into what the analytics say

about the NFL draft.

So we'll call it our Analytics Roundtable here.

Te's great to have you, Eric, great to have you back on the show.

I want to start, you'll guys will never believe where I want to begin this conversation

with Quarterbacks, because I think that quarterbacks are by far the hardest position to evaluate

using statistics because so many other things impact them.

If it's a defensive tackle, it's him versus the guard over and over and over again,

and you can look at those numbers and I think that they project pretty well. But Tege, why don't you start with this?

What is the biggest challenge in your mind of trying to figure out which quarterback statistics matter when we're trying to solve this problem? Who's gonna be good in the NFL?

Quarterback statistics have a lot of variability going from college to pro and we usually default to something like the consensus big board when looking at quarterbacks where you have to trust

the evaluation of multiple people watching the film on these quarterbacks looking at the

tools that they have to kind of project how they're going to do in the NFL.

When you look at this class in particular a lot of the things that we think matter and can translate

something like completion percentage, over expected to measure accuracy, pressure to sack rate to measure

how good they are at avoiding sacks.

Like the top quarterbacks in this class,

you know, whether you talk about Caleb Williams,

Drake May, Jaid and Daniels,

they didn't rank that highly in those metrics last season.

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