USC Analytics retweeted
Before you give up on a rookie WR, remember Amon-Ra St. Brown's rookie season:
Weeks 1-12: WR77
Weeks 13-18: WR2
USC Analytics retweeted
He’s a sicko for having the concentration to look directly at where his toe was aligned 😭
USC Analytics retweeted
NFL fans grappling with something college fans (with much larger skill gaps) have known for ages.
As the quality of competition in a conference goes up, it generally becomes an increasingly low-scoring league.
Better players means less spacing and quicker reactions to throws.
USC Analytics retweeted
QB EPA/Dropback vs. Pass Defenses Faced (thru wk8)
Pass defense slate faced ➔ remaining:
• USC (QB #2): #1 faced ➔ #14 left (battle-tested)
• Ohio St (QB #10): #90 faced ➔ #4 left (cliff)
• Indiana (QB #3): #5 faced ➔ #75 left (survived)
• Wake Forest (QB #14): #131 faced ➔ #99 left (cupcake)
• Washington: Slate #86 faced ➔ #3 remaining
• Missouri: Slate #84 faced ➔ #9 remaining
• Minnesota: Slate #80 faced ➔ #1 remaining
Tested vs. paper tigers thru Wk 8 🧵👇
USC Analytics retweeted
Caleb Williams is the most accurate QB in football, according to @FantasyPtsData's Catchable Throw Rate
And he's top-7 throwing to every level of the field
Scoring drives tend to produce more yards than non-scoring drives.
Sometimes drives are non-scoring because they lost yards.
At least, they put someone who earned a sack on the graphic.
The -17 yards came from -57 sack yards.
USC Analytics retweeted
I think the takeaway is very important.
The trend to athletic QBs is facing diminishing returns. The pocket QB who can process quickly is suddenly more valuable again without that cheat code accessible.






























