How Ivy League Nerds Took Over the NFL

Love this show! Thanks for great content

Great video! Keep going!

You need more views Joe, we gotta do something about this

A-lot of these guys in baseball front offices too.

No amount of analytics can help the Browns 😂

They took over baseball too 🤨 analytics man smh what happen to the meat and potatoes grind of being a scout , player and coach

Another fantastic video bro

Sports business is fascinating man. Wonder how these squads balance the quantifiable data with non quantifiable human traits.

all these B.S metrics that non-athletic ppl try to use, i go off 2 things that computers can tell you, 1. the eye test; 2. heart/dog test, these 2 things never fail

And this is why the NFL and NBA are garbage products now. Letting privileged knuckle draggers who can't run a mile in under 10 minutes make decisions on world class athletes. This world is ruined.

cleveland's so call smart ivy league person drafted two qbs.... lol go figure huh

Nepotism… end of video.

I actually think its beyond stupid to put someone in a position just cause theyre smart somewhere else and let alone sports smart is not the same as book smart yes some do correlate but not enough

Doesn’t matter that you have an ‘analytically advanced front office’ when the BROWNS are fckn trash🤣🤣🤣 Andrew Berry should’ve gone to Wall Street… or maybe not… with his track record he’d be the catalyst for the next GCF!😂

I bet these nerds love Brock purdy

Browns and Bears are a mess

I think the funniest part about all of this is that all of the ivy league nerds are only a few years away from being obsolete because AI can do their job faster, with more accuracy, context, and more importantly, for free.

One thing you missed is how analytics took over the passing game.. we see more passes at or behind the line of scrimmage than ever before. Most risky deep passes are a thing of the past

Why do you keep mentioning the Browns as an example? They are lost.

Analytics are so overrated. The main reason why the eagles won the Super Bowl is because the Giants made the worst decision in their franchise history and let saquon go to their rival team. That’s literally it.

I recommend the book winning fixes everything. A book on the astros rise as a franchise and cheating scandal. Essentially what multiple teams in the MLB do is hire Ivy League kids to hide their cheating. So they’ll pay a kid from UPenn a bunch of money and he’ll spit out a bunch of numbers and analytics to the press while the team would go buy a $5 trash can from Home Depot and just cheat by spying using cameras. But if you questioned them they always had the cushion of saying, no we’re not using basic tactics that have been cheating in baseball since the 1800s, we hired this super smart guy who never played baseball before and that’s why we’re winning now.

read this substack post on linkedin last week, glad your channel showed up in my recommended

Excellent video, but is the thumbnail AI?

Noticed how the MLS,MLB, etc... are only played in the U.S and how Americans are almost destroying every football team they purchase in Europe ? Well, the answer is simple they think like robot they basically can not do anything out of pure instinct. They wouldn't exist if there wasn't books. That's why they suck at FOOTBALL because you need a brain to play it not an artificial brain. Nerds are great they can be useful but they will soon replace humans with robots in sport.

Worked out great for the Eagles,Vikings have done very well. But it has been a disaster for the browns.

How do I use analytics to improve my life

A major breakthrough in NFL analytics came with the widespread availability of player tracking data. Unlike baseball, which is event-driven and largely centers around isolated matchups (like pitcher vs. batter), football is far more complex. Each play involves 22 players whose roles vary drastically based on the play design. A receiver could be the primary target, a decoy, or assigned to block. On defense, coverage responsibilities can shift post-snap, depending on the scheme.

This complexity makes evaluating individual performance in a vacuum nearly impossible without contextual data. For example, a receiver might appear “open,” but that might result from a busted coverage rather than their route-running skill. Conversely, a receiver might not get the ball because the primary read was elsewhere, or protection broke down before the play developed. The key insight is that football analytics must account for the intent and interactions of all 22 players on the field, not just the end result of a play.

Player tracking data (e.g., from Next Gen Stats) helps bridge this gap by allowing analysts to study player movement, spacing, timing, and how those factors evolve throughout the play. This has opened the door to more advanced models for evaluating route separation, quarterback decision-making, coverage integrity, and even the impact of schemes — all of which were previously impossible to measure with traditional stats.

It's all just numbers

Watched your content before, but the ai slop thumbnail is off putting. Doubt I’ll click on anything using one.

Jewish front office nerds ruined baseball, and now they’re ruining other sports with analytics.

andrew barry is a terrible gm

How do the Chiefs stack up with this? Thanks.

I think the biggest reason beyond analytics is that football knowledge and managing assets are very different skills and one is far more important for the gm who is a decision maker. A gm with great football knowledge can easily be replaced by great scouts,coaches and analytics but a gm with perfect decision making is irreplaceable.

I like analytics. A lot of people don't. They don't get the appeal of it. They just want the sport to be about "physicality" and macho-spirit. While those people are allowed to have dumb opinions, I certainly don't think analytics has made the game worse or less physical. If anything, analytics makes the game far more intense, because teams are more evenly matched. They're not using intuition, which is extremely flawed, to make major financial decisions. With better financial decisions being made by GM's, teams are more focused on the game rather than off-field nonsense. That's why Shedeur fell to the Browns in the 5th round. It's where he belonged and teams understood that. The analytics did not lie about him. Someone who is using "feelings" might be clouded by their love for Dion Sanders or name recognition and think he deserves to be in the 1st round.

AI Thumbnail

Real Talk... When it comes to the fans, analytics are thrown out the window. If you don't believe me, try debating one. 😊