I watched J.J. McCarthy throw for 250 and a TD in 1 quarter vs this Saints defense. I think that’s why you see the whiplash from other fan bases seeing Shedeur fans claiming ridiculous things about his performance. It was okay. Decent at best. But a lot closer to Jameis Winston than Tom Brady.
@CalebYac I know it’s hard given how he’s been most of his career, but Cesar Ruiz is having an exceptionally great year. By all metrics. All I’m saying is be careful what you wish for.
@LeastWokeSaac@blakebooming Besides Baun, everyone else you mentioned had solid careers before being traded away? And tbh Baun was more of a scheme fit than anything.
@M7Investments@blakebooming Great coaching? lol.
He’s a 31 year old NT. What coaching is he going to get that he already hasn’t in the 10 years he’s been in the league?
My man, I still don’t think you’re understanding the critique. I don’t need advanced analytics to tell me that LA Tech and McNeese are inferior opponents. The critique is that unless you have another team that I can cross reference the data to, it’s useless. Which is exactly why I brought up Miami. Miami put up 856 yards and 77 points on Florida A&M. You don’t need an advanced degree to see that’s going to skew raw numbers only 8 weeks into a season. But I have at least given some other reference to prove my point. I can do the same with Oklahoma State, Oregon State, Utah, etc. they all have outlier games with much inferior opponents that are going to boost their statistics. The question is ultimately what are you suggesting with your data about LSU that isn’t essentially negated once it’s accounted for with the other teams?
@claybwells10@metoyer_josh So you want the better games to be played on a streaming service rather than a prime slot on nationalized TV all for the sake of having a night game.
You kind of sound like a child.
Cutting off your nose to spite your face.
@aaronsullivan92@cfb_poin fair enough, but I don’t think I’m exaggerating. I think I’m simply pointing out that the numbers you used didn’t show anything worth mentioning while still kicking the proverbial hornets nest that you were ultimately trying to avoid.
I did read the replies and I understand the topic quite clearly.
But it doesn’t really matter. Nobody is arguing that adjusting data is important, I was critiquing your “adjustment”.
I simply pointed out that the numbers you are showing are irrelevant. Obviously if you take out 25% of the opponents(regardless of quality) the raw offensive numbers will be skewed (Putting them into fraction form doesn’t make it any more relevant either). Your “data” would carry much more weight if those two opponents accounted for ~50% of their total offensive production, but it doesn’t.
To put it simply, what you also implied with your “data” is 70% of all of LSUs offensive production came from 75% of their schedule. Kind of an uninteresting stat when you put it that way.
Finally, you have yet to respond to mine or any other reply which provoked you to show any team that is top 10 in total yds/ game that does not have a couple of lesser quality opponents that we can cherry pick out…
So 25% of their opponents have accounted for 30% & 33% of their offensive production.? okay..
Is that inflated, sure, but not egregious.
For reference the current #1 team and perceived juggernaut Miami has ~38% of their points scored against Central Michigan and Florida A&M. I won’t even mention Pitt and Stanford
So unless you’re prepared to show teams that have strictly played upper tier FBS opponents then I can assume that the math works about the same for everybody