Is there any particular way you arrived at this theory other than vibes? Genuinely curious. I like a lot of their data and info personally, though I do think their grades at face value are a very small piece of what they do. They're a nice market facing thing. Digging past grades there's a lot there from a play tracking standpoint that literally no one else provides as a consumer product. For one thing, they're completely black box. There's no way to independently check anything, because their methodologies are always propietary. They haven't done anyrthing to earn credibility. One of the most famous examples of PFF punditry among Bears fans is this https://www.pff.com/news/nfl-chicago-bears-justin-fields-most-accurate-quarteback-ohio-state-pff-college-era Their premise of this article is two-fold: 1) college CPOE translates into pro success and 2) Justin Fields is the best they've ever recorded at it. For the first point, their justification is a chart labeled "How College CPOE translates to NFL EPA/Play" It's a hall of fame example of taking a scatter plot and drawing a line through it to make it look like there's a serious correlation there. It's literally this: https://www.explainxkcd.com/wiki/index.php/1725:_Linear_Regression. It's Meph "Khalil Greene is going to be a superstar, Jake Peavy is worth two Championships Above Replacement" level analysis. And I can't even tell if no. 2 is accurate or not, because a year later they posted this chart: https://www.pff.com/news/college-football-what-college-completion-percentage-over-expected-cpoe-tells-us-about-the-2022-nfl-draft-qb-class And in this chart purporting to show the exact same stat, Fields is behind dozens of NFL recent draftees and is in fact below average among the sample. How do I square those two? Who knows, they don't give you enough data to check anything they post. But it had a decimal place in it, so it sure seemed scientific.