
You're on the side of data, which is fine. I often err on this side, as well.. but the NFL isn't a solved equation that can be solely predicted by data.
I'm leaning on what I see, the Steelers decision to give him that massive target share, and NFL defenses decision to put their #1 CB on him (I mean.. if these are bad targets, why not encourage more of them by putting their lesser CB on him??)
Neither of these arguments are conclusive, which is something you don't want to admit because you're so confident that that niche subset of data you're referencing is conclusive evidence that targets are better spent elsewhere. Diontae's numbers in comparison to other Low ADoT contemporaries does not mean he belongs in the same conversation as them. 1) It's a very limited sample size. 2) His target share dwarfs a bunch of those receivers shrinking the relative sample size even further... Those numbers tell a story, but it's far from conclusive.. which is a reality you refuse to admit.