🎙️ ‘Tags, Trades and Practical Analytics w/ Cynthia Frelund’ | Defending The Kingdom

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Speaker 1: We’re back from the combine, and yes, our nostrils have

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Speaker 1: been cleaned out with the Saint Elmo’s shrimp Cocktail sauce

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Speaker 1: that you’ve seen online. Now we turn to well this

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Speaker 1: week it’s tags, trades and practical analytics as we get

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Speaker 1: ready as well for the full fledged free agency on

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Speaker 1: this edition of Defending the Kingdom, of course, brought to

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Speaker 1: you by Ticketmaster. The homes in the pocket will step up,

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Speaker 1: you’ll scramble ten fives, dive in touchdown chansa sitting However,

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Speaker 1: one im Mitchelta’s voice the Chiefs along with senior team

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Speaker 1: reporter Matt McMullen. Have you recovered fully or has your

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Speaker 1: nasal cavity recovered fully from the sant Elmos experience?

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Speaker 2: Yeah, I think I’ve recovered. You know one thing I

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Speaker 2: feel like I need to clarify is we put that

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Speaker 2: video out of us doing the shrimp cocktail, which I

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Speaker 2: think we should do more of those. That was a

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Speaker 2: lot of fun. I enjoyed that.

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Speaker 1: Yeah, that was fun.

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Speaker 2: Yeah, But I think some people thought that it’s just

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Speaker 2: like a normal shrimp cocktail and this was our first

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Speaker 2: ever experience with like horse radish or shrimp cocktail. Their

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Speaker 2: shrimp cocktail is like an atomic bomb. It’s like ninety

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Speaker 2: nine percent horse radish, So it’s a little bit different.

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Speaker 2: We’ve had shrimp cocktail before. This was like a different

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Speaker 2: kind of experience. Just want to make sure that’s out there.

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Speaker 1: And we’ve seen the comments and people have weighed in

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Speaker 1: on it. No, I like to make homemade shrimp cocktail.

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Speaker 1: I have to make when we have it with my wife.

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Speaker 1: It has to be two different versions because I do

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Speaker 1: like the sant Almos kind of version, although it’s never

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Speaker 1: at the level of Saint Elmo’s right, it’s like the

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Speaker 1: Lebron of shrimp cocktail or the Mahomes. And then she

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Speaker 1: has to have kind of a dumb down version. But anyway,

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Speaker 1: it was. It was good and fun. One of the

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Speaker 1: things you did not see on camera. I’m going to

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Speaker 1: show this so it’s great. Kelsey t Han is one

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Speaker 1: of our members of our social team and she’s super

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Speaker 1: talented and great nos football very well, a Wisconsin Badger,

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Speaker 1: proud Wisconsin Badger. And then and we also have with

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Speaker 1: us is Corbyn Meyer Corbyn who’s good friends by the

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Speaker 1: way of Josh Or Howard. Will Howard, the former k

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Speaker 1: State quarterback. Now I remember the Pittsburgh Steelers national champion

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Speaker 1: of Ohio State. Anyway, she went to Villanova. All right,

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Speaker 1: she had done this before. She all she knew the drill,

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Speaker 1: but Kelsey had never had one. And she’s trying to

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Speaker 1: get psyched up Kelsey for it. And Kelsey’s right across

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Speaker 1: from you. This is off camera, and Corbyn’s right across

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Speaker 1: from me. And as soon as Kelsey took it, it

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Speaker 1: was like a dart hitter right in the head. And

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Speaker 1: I love I love Corbyn’s reaction because she’s done it before.

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Speaker 1: She goes, it’s okay, it’ll be over soon, super serious. Yeah,

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Speaker 1: it was serious. She goes, it’s okay, it’ll be over soon,

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Speaker 1: and like, all right.

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Speaker 2: I think Kelsey was worried it was gonna be like

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Speaker 2: if you have like really spicy food and it lingers

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Speaker 2: and you know you have to like like chuck a

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Speaker 2: thing of milk like it’s not.

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Speaker 1: Like that, or deal with it the next seven hours.

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Speaker 2: Yeah, like it hits you and then it goes away

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Speaker 2: get some more. It’s normally how it goes.

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Speaker 1: I love this story. I’d go right back tonight if

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Speaker 1: I could. Yeah. So, anyway, that’s the combine. Now this

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Speaker 1: week is a little bit of a calm between the

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Speaker 1: two storms, because this is we’re calling it tags, Trades

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Speaker 1: and Practical Analytics because we’ll have one of our favorite

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Speaker 1: humans on with us later in this podcast, and it’s

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Speaker 1: Cynthia Freelan, who is a brilliant analyst of the National

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Speaker 1: Football League. She was one of the first to really

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Speaker 1: use applied analytics. She has two master’s decrees from Northwestern

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Speaker 1: and but then it’s kind of more thrown. I just

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Speaker 1: her approach to analytics to me is the way that

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Speaker 1: football should do it. And so we’ll get into that

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Speaker 1: in a second, but you’re going to enjoy that part

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Speaker 1: of it. But before we do anything, let’s go around

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Speaker 1: the world.

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Speaker 2: Yep, I got three today. Okay, we’ve been pretty solidly

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Speaker 2: getting like three a week lately. The jnstin rude.

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Speaker 1: Yeah, stay with you.

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Speaker 2: You have an honor of Yon Jordan and Max are

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Speaker 2: in Dunedin, New Zealand. Probably mispronouncing that, but wherever that

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Speaker 2: is sounds like an amazing place. I need to go

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Speaker 2: to New Zealand. They watch every game on Monday mornings,

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Speaker 2: which I think is fun. Shout out to Enrique in Bloomington, Minnesota.

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Speaker 2: Pretty sure we’ve heard from Enrique before. And then Jimmy

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Speaker 2: is in base Ar Kansas. I had a few of

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Speaker 2: those lately, although he works on the Missouri side about

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Speaker 2: five minutes from the stadium. He’s a Rapeck grad and

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Speaker 2: an alum of Wichita State. Gotchockers.

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Speaker 1: Wow, this dude’s all over the place. Yeah, sure is.

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Speaker 1: He’s living in base or home of the Baser Lindwood

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Speaker 1: Bobcats and Emerging five a power in Kansas. But he

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Speaker 1: works near the stadium. Yep. But went to Raypeck ranked

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Speaker 1: to Raypack Panthers and then he was a Witchitow State shocker.

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Speaker 2: Yeah, just hitting the whole region.

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Speaker 1: You know, black and gold, black and gold, green and gold.

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Speaker 1: So there’s something about gold. Okay, But anyway, the chiefs

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Speaker 1: and gold and then the fun thing and some of

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Speaker 1: you saw it on social on X was when we’re

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Speaker 1: walking back was day two? We’re going we lost all

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Speaker 1: track of the days and it’s and it’s andy or

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Speaker 1: was it day one? Maybe we’re walking the long track

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Speaker 1: back to the hotel from.

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Speaker 2: Our Oh yeah, that was that was day one one, Okay.

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Speaker 1: So we’re kind of tired and it’s just us, our crew,

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Speaker 1: and all of a sudden, it’s Andy, right, he appears.

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Speaker 1: Do you remember the town he’s from. It’s north of London.

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Speaker 2: You know, I might have wrote it down hold on.

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Speaker 1: Okay, therewith But anyway, we’re just walking just abity abdy,

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Speaker 1: trying to get back and maybe we’ll get a bite

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Speaker 1: to eat, and this guy just appears in front of us,

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Speaker 1: and it’s like this moment where the light just shines

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Speaker 1: on him and he goes.

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Speaker 2: Oh my god, it’s you guys, it’s you.

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Speaker 1: Guys, It’s he’s this guy is a huge fan.

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Speaker 2: I think he’s from London.

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Speaker 1: Oh he is from down the city.

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Speaker 2: Andy from London.

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Speaker 1: Okay, so Andy, Andy from London. He’s like, guys, It’s

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Speaker 1: like it was. It was crazy.

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Speaker 2: Yeah, he was awesome. He was so excited that guy

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Speaker 2: because he mentioned he he was in Indianapolis for like

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Speaker 2: a convention, as one does in Indianapolis it’s like the

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Speaker 2: convention Mecca. But he knew the NFL combine was going on.

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Speaker 2: He’s a Chiefs fan, and he thought, what if I

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Speaker 2: just walked over to the convention area, maybe I’ll run

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Speaker 2: into somebody. And he was freaking out. What were the odds,

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Speaker 2: a super cool guy, big Chiefs fan. It was awesome

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Speaker 2: shout out to and he works for Eli Lilly. That’s

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Speaker 2: why he was in Indianapolis, but representing us in the

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Speaker 2: United Kingdom.

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Speaker 1: So way to go, my brother, Let’s go. Okay, trades,

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Speaker 1: tags and practical analytics is where we’re at today. It

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Speaker 1: is always kind of fun, but now kind of being

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Speaker 1: a veteran of this like you and I are. When

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Speaker 1: the season ends, people look at the free agent list

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Speaker 1: and they’re like, oh my gosh, look at this. Can

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Speaker 1: we get this guy and this guy and this guy

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Speaker 1: and this guy, And it’s a just hit the brakes

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Speaker 1: for a second, because this guy, this guy, this guy,

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Speaker 1: and this guy probably won’t be available. They’re either going

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Speaker 1: to be tagged or extended. And again, as we post this,

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Speaker 1: this is a fast moving world right now, yeah, from

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Speaker 1: now till lots of things within seconds. But honestly, this

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Speaker 1: is what the third of March I think that we’re

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Speaker 1: posting this. But Bricehall was tagged by the New York Jets,

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Speaker 1: and of course Breece Hall Wichita Northwest Grizzly by the way,

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Speaker 1: played high school football in the Chiefs Kingdom, played college

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Speaker 1: ball in the Chiefs Kingdom in the northern regions. We

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Speaker 1: he’s a star at Iowa State. But Chiefs fans were

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Speaker 1: going nuts about getting Brice Hall. Could you trade for Bresawl?

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Speaker 1: Could we get Bresall? In free agency? Breeshall is now

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Speaker 1: tagged as a Jets running back.

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Speaker 2: It’s really interesting to follow the landscape of who will

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Speaker 2: be available. So one person we caught up with at

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Speaker 2: the combine was Tim Terry, who’s in charge of the

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Speaker 2: Chiefs like pro personnel department. And I think we’ll pull

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Speaker 2: us that interview maybe in a week or so when

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Speaker 2: free agency is in full swing. But I asked him

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Speaker 2: about kind of preparing for the landscape, because you want

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Speaker 2: to be ready for the opportunities ahead of you in

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Speaker 2: terms of free agents. But truly, until you get to

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Speaker 2: like next week, you don’t know for sure who’s going

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Speaker 2: to be available. So many things can happen. I think

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Speaker 2: players become available maybe you didn’t think would be available.

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Speaker 2: You just follow Adam Schefter. He’ll say like so and

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Speaker 2: so all of a sudden is seeking his release or

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Speaker 2: whatever it may be, Like, well, that came out of nowhere.

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Speaker 2: But also, yeah, the players that get tagged the players

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Speaker 2: that get extended. You don’t know if a player is

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Speaker 2: playing hardball with the team and he’s going to end

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Speaker 2: up staying there. I could go on and on, like,

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Speaker 2: you don’t actually know who’s going to be available until

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Speaker 2: you get there, so you have to have plan A,

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Speaker 2: Plan B, Plan C, Plan D. And really, one thing

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Speaker 2: I’ve been talking about a lot lately is you want

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Speaker 2: to use free agency not necessarily spending a ton of

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Speaker 2: money and investing in only a few players, but you

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Speaker 2: want to spend free agency and use it as a

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Speaker 2: chance to prepare your roster for the draft because you

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Speaker 2: don’t want to go into the draft having to take

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Speaker 2: a certain position like man, we desperately need blank in

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Speaker 2: the draft. Not a good way to live because on

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Speaker 2: one end, you’re not going to end up taking the

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Speaker 2: best players available, and on the other you don’t know

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Speaker 2: if the players that you’re hoping that you get are

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Speaker 2: even going to be there in the draft. So a

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Speaker 2: big opportunity for the Chiefs and free agency coming up.

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Speaker 2: I don’t know if we’ll make a big splash. Maybe

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Speaker 2: they will, but either way, got to find a way

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Speaker 2: to get some good players in here through the free

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Speaker 2: agent process to make sure we can go best player

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Speaker 2: available in the draft.

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Speaker 1: Yeah. A couple other tags here that are noteworthy. George Pickens,

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Speaker 1: who maybe had his best game of the year, maybe

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Speaker 1: the last two years against the Chiefs on Thanksgiving as

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Speaker 1: a Cowboy wide receiver. There was some thought, maybe he’s

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Speaker 1: a free agent, Go get George. He was tagged by

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Speaker 1: the Cowboys. And then Kyle Pitts, and there was some

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Speaker 1: Chiefs discussion at least from fans right that ooh, go

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Speaker 1: get Kyle Pitts, who would be a nice veteran if

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Speaker 1: Kels comes back, that he could help Kels out or

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Speaker 1: maybe help fulfill the void if Kels doesn’t come back.

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Speaker 1: But Kyle Pitts has also been tagged by the Falcons.

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Speaker 2: I don’t know what the tag number is for tight ends,

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Speaker 2: but that feels like a lot of money for Kyle Pitts.

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Speaker 1: Yeah’s what they’ve done. Yeah, And that’s where you got

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Speaker 1: to be tricky or really careful with the tags.

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Speaker 2: So the one thing I don’t like about the tags,

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Speaker 2: and I could be wrong about this, but my understanding

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Speaker 2: in how they do positions is I think it’s all

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Speaker 2: offensive linemen are one tag number, right, and then linebacker.

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Speaker 2: So linebacker and defensive end, which is a really archaic

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Speaker 2: way of looking at football. It’s you’re either like a

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Speaker 2: inside linebacker or you’re an edge. To me, and like

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Speaker 2: Micah Parsons and Fred Warner are different positions, but they’re

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Speaker 2: both linebackers, you know, and the TAG doesn’t treat it

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Speaker 2: that way. I don’t know that bothers me.

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Speaker 1: Or some will have a dea thinking that they’re an

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Speaker 1: interior defensive lineman. So yeah, part of a four to

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Speaker 1: three three four. So then they’re lumped in with the

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Speaker 1: dls and they’re going, well, isn’t he really a dee?

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Speaker 1: And then you’re looking at linebacker, go, an’t he really

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Speaker 1: an edge? It’s kind of a dee. And so honestly,

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Speaker 1: I think as the collecting bargaining agreement gets like moved

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Speaker 1: and shaken up a little bit and in the years ahead,

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Speaker 1: because we talked about it at the combine and last

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Speaker 1: week’s episode, you put a letter by a guy like

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Speaker 1: Caleb Downs to put an s by him totally limits

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Speaker 1: who that dude is. Yeah, but the league has to

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Speaker 1: see it, or the PA or the league and the

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Speaker 1: PA together has to see a ladder by a guy

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Speaker 1: and then that becomes your points really well taken. That

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Speaker 1: becomes really problematic when you get to the tag number.

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Speaker 2: I think someone who was saying this, someone was saying

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Speaker 2: this a few days ago. Like Nick Imomori, who is

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Speaker 2: a safety, very good player for the Seahawks. I think

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Speaker 2: he played like ten actual snaps at traditional safety last

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Speaker 2: year because he was playing slot corner, box safety, basically

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Speaker 2: extra linebacker, all that stuff like he’s not a safety,

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Speaker 2: Like he can play safety, but he’s not just a safety.

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Speaker 1: And that’s where it gets tricky with the tag for sure.

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Speaker 1: Yeah an s wait a minute, that just really defined him.

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Speaker 1: So those is the most noteworthy tags. And then there

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Speaker 1: have been some trades. The David Montgomery trade is an

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Speaker 1: interesting one because the Houston Texans and the AFC always

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Speaker 1: gets your attention. So the Lions trade David Montgomery to

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Speaker 1: the Houston Texans. Again a little bit of a chief

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Speaker 1: tie in because he was such a great running back

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Speaker 1: in Iowa State. He’s also a fan of Matt Naggy

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Speaker 1: they were together with the Bears. But that was a

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Speaker 1: trade that was like, oh, that one’s got some significance.

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Speaker 2: And you never know what Brett Beach might find on

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Speaker 2: the landscape if we’re looking for a running back. There’s

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Speaker 2: obviously some interesting names out there in free agency, but

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Speaker 2: I mean, I wasn’t aware David Montgomery was going to

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Speaker 2: be available, right, and who knows what players might be

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Speaker 2: available in the coming weeks. You know what trades this

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Speaker 2: time of year always remind me of, though, because the

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Speaker 2: way it works is the league year begins on March eleventh.

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Speaker 2: Technically nothing’s official until March eleventh, so David Montgomery has

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Speaker 2: not been traded technically, even though it’s been all agreed to.

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Speaker 2: And when we traded Alex Smith way back in twenty eighteen,

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Speaker 2: I remember that it happened like in early February, but

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Speaker 2: we couldn’t talk about it, a reference that or do

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Speaker 2: anything with it until the league year began in early

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Speaker 2: March because technically he hadn’t been traded until the league

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Speaker 2: year began. It’s a difficult position to be in when

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Speaker 2: you work on the team side and their quarterback’s been

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Speaker 2: traded and you cannot discuss it.

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Speaker 1: We said on that for five weeks. Yeah, and I

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Speaker 1: can’t tell how many shows I was on and got

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Speaker 1: asked every time and you’re like, I can’t tall you

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Speaker 1: can’t I don’t know, it’s not official.

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Speaker 2: I’m not sure what you’re talking about.

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Speaker 1: I’m sure. Yeah, Well i’m not senator, I’m not sure.

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Speaker 1: I don’t recall that. So anyway, Yeah, but you’re right,

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Speaker 1: it’s there and supposedly both teams have agreed to it.

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Speaker 1: And you think, what does that mean to the Chiefs. Well, yeah,

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Speaker 1: hang on here, because if we’re in the running back

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Speaker 1: market in the free agency in Houston would have been

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Speaker 1: involved in the running back market in free agency. They

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Speaker 1: got David Montgomery, so now they’re probably not going to

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Speaker 1: be involved as much in the running back market in

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Speaker 1: free agency. So each one of these deals, I know

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Speaker 1: you and I look at it through the lens of

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Speaker 1: the Chiefs, and sometimes it might be three degrees or

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Speaker 1: five degrees removed, or sometimes it’s right there, close to

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Speaker 1: the nucleus of the atom. And so this one was

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Speaker 1: one that caught my attention. There were some others. Titus

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Speaker 1: Howard goes to Cleveland as Houston then gets some extra

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Speaker 1: picks that could affect things for the Chiefs as you

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Speaker 1: get closer to that seventy fourth pick and beyond in

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Speaker 1: the rounds five and six. Also, let’s see the other

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Speaker 1: trades that was happening. Oh, the Jets traded with Jermaine Johnson,

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Speaker 1: they get the Sweat, Trevandre Sweat goes to the Jets,

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Speaker 1: Jermaine Johnson goes to the Titans. So here again, if

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Speaker 1: you’re looking at defensive linemen, you’re thinking, well, that may

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Speaker 1: to two teams and change their strategy going into free

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Speaker 1: agency and the draft.

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Speaker 2: Yeah, I definitely could. It’s funny though, when I hear

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Speaker 2: some of these names, because we go so hard into

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Speaker 2: the draft this time of year every year, and players

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Speaker 2: like Jermaine Johnson and Devandre Sweat, I just think about

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Speaker 2: all the draft stuff we did on them, and then,

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Speaker 2: if I’m being honest, like particularly, we’re not playing the

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Speaker 2: Jets that often ave the Titans, and those two teams

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Speaker 2: haven’t been very good, so they haven’t really been in

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Speaker 2: the conversation with us. I’m not really thinking about them much.

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Speaker 2: I forget about those names, you know, I set them aside.

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Speaker 2: I completely forget about them, and they pop back up

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Speaker 2: and I’m like, oh, yeah, Devandre Sweat and Jermaine Johnson.

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Speaker 2: I like both those players quite a bit. Both been

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Speaker 2: pretty good as far as I know. But you know,

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Speaker 2: a change of scenery can often help guys and we’ll

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Speaker 2: see how they do.

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Speaker 1: And some resigns basically some extensions or keeping a guy

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Speaker 1: around before they would hit the free agent market. And

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Speaker 1: Nick Allergretti, our old friend, has made an impact with

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Speaker 1: the Washington Commanders like he did here, but he’s resigned

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Speaker 1: to an extension, so give him some credit there. Javonte

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Speaker 1: Williams is one that gets your attention because a running

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Speaker 1: back that you know fans will go who that looked

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Speaker 1: nice in the chief’s uniform. He resigned with the Dallas Cowboys.

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Speaker 1: Tierre Tart not to Shaun Hand with the Chargers. But

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Speaker 1: then Dalton Reisner, who is the k State star and

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Speaker 1: was an almost immediate starter for the Broncos, and he

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Speaker 1: went to the Vikings. He has signed with the Bengals

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Speaker 1: or re signed with them. So some local moves there

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Speaker 1: that kind of catch your attention.

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Speaker 2: Yeah, really happy for Nick allegh Ready. It’s been fun

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Speaker 2: to follow his whole journey. I remember when he was

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Speaker 2: drafted in the seventh round from Illinois and I’m not

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Speaker 2: sure what we had in him. Had to make the

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Speaker 2: team right and to see how he became such a

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Speaker 2: Swiss army knife for us over the years, such a

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Speaker 2: major part of the championship teams. Thinking about Joe Toney

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Speaker 2: tearing his peck against the Bills and the division around

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Speaker 2: a couple of years ago, I mean, that’s a big,

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Speaker 2: big deal. It’s Joe Touney, one of the best offensive

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Speaker 2: linemen really in league history if you think about it.

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Speaker 2: And Nick Alleghready goes in there, doesn’t miss a beat,

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Speaker 2: leads his team to the Super Bowl. Happy for him

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Speaker 2: it’s worked out in Washington and that he’s sticking around there.

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Speaker 1: Yeah, great guy, University of Illinois and happy for him.

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Speaker 1: But one thing that gets close to home is the

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Speaker 1: fact that he is just perfect or what was perfect

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Speaker 1: here in that sixth offensive line role. The tackle over

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Speaker 1: tackle role, which was become more in vogue. It used

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Speaker 1: to be you’d see it maybe once or twice again

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Speaker 1: they come in and wipe the jersey and go seventy

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Speaker 1: seven’s eligible, and now your tackle over tackle. It has

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Speaker 1: become the staple of many teams, including two in our

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Speaker 1: division in many ways with the Broncos and Chargers. It’s

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Speaker 1: coming now with regularity, and you’re seeing teams start in

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Speaker 1: it stay in it for a good portion of the game.

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Speaker 1: Where if you’re going to run and play action pass,

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Speaker 1: so a guy like Nick Allagretti or to find somebody

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Speaker 1: like that, and maybe that’s Jalen Moore. We’ll see how

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Speaker 1: this kind of works out throughout free agency. In the draft,

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Speaker 1: we talked about a right tackle festival. Now the league

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Speaker 1: has kind of jumped on that after the tackles worked

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Speaker 1: out after we had left. Yeah, now you see how

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Speaker 1: much tackle talk there is around the league.

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Speaker 2: Oh yeah, well, you see the athleticism of the tackles.

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Speaker 2: I wrote this down. There’s some kind of bonkers numbers

365
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Speaker 2: about the tackles. So this offensive line group at the

366
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Speaker 2: Combine was collectively all at the same time, the tallest, heaviest, fastest,

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Speaker 2: and highest jumping. Ever, it doesn’t make any sense. They’re

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Speaker 2: just incredible, amazing athletes. While were on that, seven different

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Speaker 2: position groups set the all time Combine record for its

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Speaker 2: fastest average forty yard dash defensive line, linebacker, dB, tight end,

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Speaker 2: running back, wide receiver, and offensive line. It’s nuts. These

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Speaker 2: guys are like three hundred and thirty pounds and running

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Speaker 2: forty yard dashes like receivers did in the fifties.

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Speaker 1: People ask me, how was it? How you know what

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Speaker 1: I go. The level of athlete that it is now

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Speaker 1: playing in the National Football League is astonishing. Yeah, it’s

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Speaker 1: mind blowing. And when you and I were walking down

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Speaker 1: the hallway and you see these guys, you’re like, oh

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Speaker 1: my gosh, and just think about the time you’ve been

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Speaker 1: in the league and you’ve seen how that’s changed. Oh yeah,

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Speaker 1: and it’s it’s been almost exponential growth as far as

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Speaker 1: the speed and the power, and it’s the way these

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Speaker 1: guys are training, the way that they have prepared themselves

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Speaker 1: from going all the way back from when they were young.

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Speaker 1: But it is phenomenal. But then you see somebody like

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Speaker 1: a Daniel Jeremiah or Zerline who’s they’re talking now like

387
00:18:58,600 –> 00:19:01,359
Speaker 1: there could be seven tackles in the first round. But

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Speaker 1: these guys are right tackles generally. They’re not a Josh

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00:19:04,520 –> 00:19:07,560
Speaker 1: Simmons left tackle type, most of them. If you look

390
00:19:07,560 –> 00:19:12,240
Speaker 1: at Malanoa, you go right down the line and the

391
00:19:12,520 –> 00:19:16,760
Speaker 1: fact that they’re probably right tackle, so at least starting there,

392
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Speaker 1: and if the Chiefs would get a starting right tackle,

393
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Speaker 1: Jalen Moore becomes the new Nick Allegretti. The other four

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Speaker 1: we know could be you already have a star. You

395
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Speaker 1: have the best at his position in the league. You’ve

396
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Speaker 1: got a guy that’s proven he can play. There could

397
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Speaker 1: be even a pro bowler, and Simmons could be a

398
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Speaker 1: pro bowler. It could get real exciting if you get

399
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Speaker 1: a tackle in this draft, even with a high pick.

400
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Speaker 2: And I’m still excited about Sapole as well as being

401
00:19:43,680 –> 00:19:45,600
Speaker 2: one of those guys who can be a developmental player,

402
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Speaker 2: a swing tackle, maybe a starter one day. We need

403
00:19:49,760 –> 00:19:52,959
Speaker 2: to kind of cultivate that depth because that depth has

404
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Speaker 2: been tested over the years, definitely tested last year late

405
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Speaker 2: in the season when we just were down to our

406
00:19:59,240 –> 00:20:03,080
Speaker 2: fourth and fifth t tackles at times. That’s why I

407
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Speaker 2: think again to get back to the best player available

408
00:20:05,520 –> 00:20:08,520
Speaker 2: thing for the chief set nine. If one of those

409
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Speaker 2: tackles is the best player available on their board, I’d

410
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Speaker 2: be all for that because you’re getting a top ten

411
00:20:15,359 –> 00:20:17,359
Speaker 2: right tackle on the draft that could be there for

412
00:20:17,400 –> 00:20:20,600
Speaker 2: the next ten years. You have your bookends set like

413
00:20:20,640 –> 00:20:24,439
Speaker 2: two blue chip bookends. I mean, I’d be fired up

414
00:20:24,440 –> 00:20:27,240
Speaker 2: about that. Now. Is that the direction they’ll go? I

415
00:20:27,240 –> 00:20:29,120
Speaker 2: don’t know, but I really think that the Chiefs could

416
00:20:29,119 –> 00:20:31,359
Speaker 2: go any which direction. Let’s say they don’t want to

417
00:20:31,400 –> 00:20:34,280
Speaker 2: take a tackle though, if one of those tackles is available,

418
00:20:35,040 –> 00:20:38,600
Speaker 2: slides down to number nine and Brett and the crew

419
00:20:38,600 –> 00:20:41,880
Speaker 2: aren’t super excited about a tackle. But a team five

420
00:20:41,920 –> 00:20:45,160
Speaker 2: spots back is well, now you can trade back, you’re

421
00:20:45,160 –> 00:20:46,679
Speaker 2: still in the middle of the first round, and you

422
00:20:46,720 –> 00:20:48,520
Speaker 2: pick up an extra second or third round pick. That’d

423
00:20:48,560 –> 00:20:51,320
Speaker 2: be great too. So I think the offensive line stuff

424
00:20:51,400 –> 00:20:53,960
Speaker 2: is nothing but a benefit for us. Either we’re going

425
00:20:54,040 –> 00:20:55,800
Speaker 2: to end up with one of these guys and that’s great,

426
00:20:56,000 –> 00:20:58,080
Speaker 2: or some other team’s really going to want one and

427
00:20:58,119 –> 00:20:59,959
Speaker 2: they’ll trade up with us to go get them.

428
00:21:00,200 –> 00:21:02,639
Speaker 1: Yeah, we’ll talk more about the draft. We’ve got weeks

429
00:21:02,680 –> 00:21:05,240
Speaker 1: to go with this. But you saw Lanz airlines smock

430
00:21:05,760 –> 00:21:09,000
Speaker 1: because that was exactly his scenario. The Chiefs trade out

431
00:21:09,040 –> 00:21:12,159
Speaker 1: of nine and go down to fifteen, where the Jets are.

432
00:21:12,240 –> 00:21:14,879
Speaker 1: The Jets really have control over this draft because we

433
00:21:14,920 –> 00:21:17,280
Speaker 1: know Mendoz is going one. But what are the Jets

434
00:21:17,320 –> 00:21:18,800
Speaker 1: going to do it two? That’s going to be a

435
00:21:18,960 –> 00:21:21,280
Speaker 1: big question mark because they can go up one hundred

436
00:21:21,280 –> 00:21:23,960
Speaker 1: different ways. But then they’re also setting at the fifteen

437
00:21:24,480 –> 00:21:27,399
Speaker 1: and so they are strategically placed. Let’s say for that

438
00:21:27,520 –> 00:21:30,280
Speaker 1: scenario you just gave, it’s not out of the rema

439
00:21:30,359 –> 00:21:33,800
Speaker 1: possibility that that could happen. Chiefs drop down to fifteen,

440
00:21:33,880 –> 00:21:37,040
Speaker 1: get extra pick maybe the second round, and build some

441
00:21:37,119 –> 00:21:39,560
Speaker 1: volume and value in the twenty sixth class like they

442
00:21:39,560 –> 00:21:40,800
Speaker 1: did with the twenty two class.

443
00:21:41,000 –> 00:21:44,639
Speaker 2: In the third scenario is let’s say, like right now,

444
00:21:44,640 –> 00:21:46,640
Speaker 2: I think we can agree probably at least two will

445
00:21:46,680 –> 00:21:49,720
Speaker 2: go in the top twelve. Well, what if like three tackles? Yeah,

446
00:21:49,720 –> 00:21:52,360
Speaker 2: what if like three or four go? That pushes down

447
00:21:52,400 –> 00:21:54,120
Speaker 2: a player that we all thought there’s no way he’ll

448
00:21:54,119 –> 00:21:55,840
Speaker 2: fall to nine, and then you end up with a

449
00:21:55,840 –> 00:21:57,840
Speaker 2: great player at nine who you didn’t think would fall

450
00:21:57,880 –> 00:22:00,119
Speaker 2: to you. So again, I think the offensive line I’ve

451
00:22:00,119 –> 00:22:01,840
Speaker 2: been doing so well is only a good thing for us.

452
00:22:02,840 –> 00:22:05,720
Speaker 2: This draft, for me, is so much more fun compared

453
00:22:05,720 –> 00:22:08,359
Speaker 2: to past drafts where last year, as we’ve talked about,

454
00:22:08,840 –> 00:22:11,240
Speaker 2: like you and I wanted Josh Simmons, Josh Simmons seemed

455
00:22:11,240 –> 00:22:12,840
Speaker 2: like the perfect guy. I mean, this is a player

456
00:22:12,920 –> 00:22:16,800
Speaker 2: who is a top fifteen caliber pick. We badly need

457
00:22:16,800 –> 00:22:20,200
Speaker 2: a left tackle prospect. He’s the guy. Will he fall

458
00:22:20,240 –> 00:22:21,800
Speaker 2: to us? I don’t know. I hope so I hope

459
00:22:21,840 –> 00:22:23,680
Speaker 2: he falls to us, and he did. That was great.

460
00:22:23,680 –> 00:22:26,159
Speaker 2: But this draft is different where there’s not just one player.

461
00:22:26,240 –> 00:22:28,840
Speaker 2: I’m like, oh, man, I hope this guy falls to us.

462
00:22:29,359 –> 00:22:31,720
Speaker 2: I really will be happy, I think with any of

463
00:22:31,760 –> 00:22:34,399
Speaker 2: the scenarios that we’ve talked about, and it sounds like

464
00:22:34,440 –> 00:22:36,240
Speaker 2: basic and obvious, but we’re going to end up with

465
00:22:36,280 –> 00:22:38,760
Speaker 2: a really good player in this first round and I’m

466
00:22:38,800 –> 00:22:39,560
Speaker 2: excited about that.

467
00:22:39,840 –> 00:22:42,200
Speaker 1: The only two exceptions to that would be quarterback, where

468
00:22:42,200 –> 00:22:45,320
Speaker 1: it looks like there’s this Mendoza yeah, and then Jeremiah

469
00:22:45,320 –> 00:22:47,720
Speaker 1: Love because I think at running back it maybe falls

470
00:22:47,760 –> 00:22:49,800
Speaker 1: off after that. That’s kind of the consensus that we

471
00:22:49,920 –> 00:22:53,440
Speaker 1: got most of you have seen as Kingdom Defenders coming

472
00:22:53,480 –> 00:22:56,800
Speaker 1: out of the NFL combine. Now we’re going to pivot

473
00:22:56,880 –> 00:23:01,120
Speaker 1: for the remainder of this podcast. One of your favorite

474
00:23:01,119 –> 00:23:06,280
Speaker 1: topics of Kingdom Defenders, and that is analytics. Oh boy, analytics,

475
00:23:06,640 –> 00:23:10,880
Speaker 1: and we love analytics. I love analytics. You love them too.

476
00:23:10,960 –> 00:23:11,160
Speaker 2: Yeah.

477
00:23:11,320 –> 00:23:19,200
Speaker 1: Valuable, But honestly, there are it’s not all just qualitative

478
00:23:19,320 –> 00:23:23,560
Speaker 1: or sorry, quantitative analysis. It’s not mathematics. So we put

479
00:23:23,560 –> 00:23:27,640
Speaker 1: a number by let’s all respect to Pro Football Focus.

480
00:23:28,320 –> 00:23:31,080
Speaker 1: They think your performance in this podcast was a ninety

481
00:23:31,080 –> 00:23:33,560
Speaker 1: point two wow, and mine was a seventy nine point

482
00:23:33,560 –> 00:23:37,000
Speaker 1: eight I disagree. Okay, the point is, we just put

483
00:23:37,040 –> 00:23:40,600
Speaker 1: a number on something that’s subjective, so we think it’s

484
00:23:40,600 –> 00:23:45,040
Speaker 1: euclid in doing geometry in three hundred BC, if we’re

485
00:23:45,080 –> 00:23:49,439
Speaker 1: going to prove it a postulate that actually is something

486
00:23:49,480 –> 00:23:52,480
Speaker 1: that’s exact. If we’re going to in an algebraic equation

487
00:23:52,880 –> 00:23:56,359
Speaker 1: and it’s mathematics, we can solve that. But when it

488
00:23:56,400 –> 00:24:00,720
Speaker 1: comes to the game of football, there is this blend

489
00:24:00,920 –> 00:24:05,880
Speaker 1: or this mixture of quantitative and qualitative analysis that has

490
00:24:05,960 –> 00:24:08,520
Speaker 1: to happen. So, now we’re watching a game and we’ll

491
00:24:08,520 –> 00:24:11,960
Speaker 1: see third and two, what’s the decision eighty three percent?

492
00:24:12,080 –> 00:24:15,400
Speaker 1: Go go on third down and two go and if

493
00:24:15,400 –> 00:24:17,159
Speaker 1: you make it, the chance to win the game is

494
00:24:17,200 –> 00:24:20,800
Speaker 1: now sixty two point sixty two percent. Well, are those

495
00:24:20,880 –> 00:24:25,520
Speaker 1: numbers taking into account the team that you’re playing, the weather,

496
00:24:25,800 –> 00:24:30,639
Speaker 1: Because again, the biggest play of this entire NFL season

497
00:24:31,119 –> 00:24:34,000
Speaker 1: was Denver’s fourth and one not kicking the field goal

498
00:24:34,040 –> 00:24:36,360
Speaker 1: and not making it and instead of taking a ten

499
00:24:36,400 –> 00:24:38,480
Speaker 1: to nothing game, which probably would have won that game.

500
00:24:38,800 –> 00:24:42,960
Speaker 1: With the snowstorm coming off the Donner pass and heading

501
00:24:43,080 –> 00:24:47,160
Speaker 1: in off the front range of the Rockies, it’s seven

502
00:24:47,200 –> 00:24:49,560
Speaker 1: to nothing and when it happened, I go New England’s

503
00:24:49,560 –> 00:24:52,520
Speaker 1: got a shot in this game? So what analytics told

504
00:24:52,560 –> 00:24:55,040
Speaker 1: you to go for it? There? And so the number

505
00:24:55,080 –> 00:24:57,960
Speaker 1: comes up right fourth and one, go for it because

506
00:24:58,040 –> 00:25:01,119
Speaker 1: eighty two point six percent of the time it should

507
00:25:01,200 –> 00:25:03,160
Speaker 1: make it and if you get it, you’re gonna win

508
00:25:03,240 –> 00:25:05,240
Speaker 1: ninety three point two to two percent of the time.

509
00:25:05,280 –> 00:25:08,359
Speaker 1: Did those numbers take into account a snowstorm blowing in

510
00:25:08,440 –> 00:25:10,240
Speaker 1: off the Rockies in like thirty minutes?

511
00:25:10,520 –> 00:25:13,919
Speaker 2: Yeah, what are your inputs for the data? Because at

512
00:25:13,960 –> 00:25:16,679
Speaker 2: the end of the day, analytics over the last like

513
00:25:16,720 –> 00:25:20,360
Speaker 2: fifteen years has become like almost like the scary word. Yeah,

514
00:25:20,400 –> 00:25:23,400
Speaker 2: some circles, it’s like a yeah, it’s just kind of scary.

515
00:25:23,840 –> 00:25:26,680
Speaker 2: But really what it is is it is just giving

516
00:25:26,680 –> 00:25:30,480
Speaker 2: you more information to help you make better decisions. Now,

517
00:25:30,760 –> 00:25:35,880
Speaker 2: if the way you’re getting that information is broken or incomplete,

518
00:25:36,240 –> 00:25:38,879
Speaker 2: it’s not going to give you the best options and

519
00:25:38,960 –> 00:25:41,880
Speaker 2: the best advice on those decisions. And I’m with you

520
00:25:41,920 –> 00:25:45,800
Speaker 2: on the on a fourth found decision. Yeah, maybe in

521
00:25:45,800 –> 00:25:49,760
Speaker 2: a perfect world, vacuum you get that eighty percent of

522
00:25:49,760 –> 00:25:51,639
Speaker 2: the time and it helps you win ninety five percent

523
00:25:51,680 –> 00:25:54,320
Speaker 2: of the time. But how often is there a snowstorm

524
00:25:54,359 –> 00:25:57,480
Speaker 2: coming in. How often do you have a quarterback under

525
00:25:57,480 –> 00:26:00,680
Speaker 2: center who has like ten career starts and is playing

526
00:26:00,680 –> 00:26:02,439
Speaker 2: in his first game of the season, Like, what are

527
00:26:02,520 –> 00:26:04,600
Speaker 2: all those inputs included? And then the answer is no.

528
00:26:05,000 –> 00:26:06,639
Speaker 2: So I think what Cynthia did a great job of

529
00:26:06,640 –> 00:26:08,800
Speaker 2: talking about which will play in a minute is kind

530
00:26:08,800 –> 00:26:12,919
Speaker 2: of blending analytics and numbers and data that help you

531
00:26:13,080 –> 00:26:19,040
Speaker 2: make informed decisions and understanding the landscape of the situation

532
00:26:19,119 –> 00:26:23,119
Speaker 2: that you’re in, Understanding the people on your team, the situation,

533
00:26:23,320 –> 00:26:25,960
Speaker 2: just all that stuff. It really is important and you

534
00:26:26,040 –> 00:26:28,080
Speaker 2: have to blend it together because sports do not take

535
00:26:28,119 –> 00:26:30,440
Speaker 2: place in a vacuum. Sports don’t take place in a

536
00:26:30,520 –> 00:26:33,520
Speaker 2: lab or in a computer. That information is really helpful,

537
00:26:33,760 –> 00:26:36,399
Speaker 2: but you have to know what your situation is that

538
00:26:36,440 –> 00:26:38,840
Speaker 2: you’re in the middle of, and I think sometimes that

539
00:26:38,880 –> 00:26:43,360
Speaker 2: gets lost, which then makes the analytics not as useful.

540
00:26:43,800 –> 00:26:47,360
Speaker 2: The thing with the PFF numbers is that’s like incomplete

541
00:26:47,960 –> 00:26:50,600
Speaker 2: data to me. I think PFF is really useful for

542
00:26:50,640 –> 00:26:55,760
Speaker 2: things like like pressures, stuff like that, tabulating where a

543
00:26:55,800 –> 00:26:58,120
Speaker 2: player is on the field, how many slot snaps does

544
00:26:58,160 –> 00:27:00,000
Speaker 2: he have, how successful is he out of the slot

545
00:27:00,080 –> 00:27:03,360
Speaker 2: in terms of catching the ball, but those are objective.

546
00:27:03,440 –> 00:27:06,280
Speaker 2: The subjective stuff is with the grades is difficult because

547
00:27:07,000 –> 00:27:10,280
Speaker 2: the person grading it does not know the intentions or

548
00:27:10,320 –> 00:27:13,520
Speaker 2: the assignment of the players. It’s kind of like if

549
00:27:13,600 –> 00:27:16,879
Speaker 2: I was grading your radio broadcasts without knowing what you

550
00:27:16,920 –> 00:27:18,800
Speaker 2: were trying to do with your broadcast, who was in

551
00:27:18,840 –> 00:27:21,359
Speaker 2: your ear, who was chatting with you, what was going

552
00:27:21,400 –> 00:27:24,119
Speaker 2: into that broadcast? Like, how can I fully have an

553
00:27:24,160 –> 00:27:26,600
Speaker 2: idea of how I can grade your performance? I can’t.

554
00:27:27,240 –> 00:27:29,320
Speaker 2: So I think their stuff is useful. I look at it,

555
00:27:29,359 –> 00:27:31,640
Speaker 2: but I think it’s incomplete, and I think that’s part

556
00:27:31,640 –> 00:27:32,920
Speaker 2: of this conversation.

557
00:27:32,480 –> 00:27:36,840
Speaker 1: As well, and people get a little bit sensitive. We’re

558
00:27:36,880 –> 00:27:39,760
Speaker 1: not against analytics. We’re not against it at all. We

559
00:27:39,800 –> 00:27:42,679
Speaker 1: loved we analyze data the whole year. We’re looking at

560
00:27:42,680 –> 00:27:46,479
Speaker 1: all kinds of data. However, in football, the data is

561
00:27:46,480 –> 00:27:50,640
Speaker 1: not the end all be all, and sometimes Elmer word Whistle,

562
00:27:50,680 –> 00:27:56,119
Speaker 1: who’s the analytics director, will get a little bit, you know,

563
00:27:56,160 –> 00:27:58,600
Speaker 1: if they get a little bit thin skin of em whistle.

564
00:27:58,720 –> 00:28:03,919
Speaker 1: Elmore word Whistle, he’s a profound analytics expert of the NFL,

565
00:28:04,400 –> 00:28:09,000
Speaker 1: but they look at it like Pythagoras. Okay, it’s so, no,

566
00:28:09,119 –> 00:28:13,880
Speaker 1: you got to take into account everything here and even

567
00:28:13,920 –> 00:28:15,760
Speaker 1: if my third down when you look at, hey, this

568
00:28:15,760 –> 00:28:18,000
Speaker 1: team’s really good on third down, this team’s really good

569
00:28:18,040 –> 00:28:20,160
Speaker 1: on fourth down. We were awesome last year on fourth down.

570
00:28:20,440 –> 00:28:23,040
Speaker 1: You have to then enter the data the opponent because

571
00:28:23,080 –> 00:28:26,440
Speaker 1: that fourth down efficiency or the third down efficiency or

572
00:28:26,520 –> 00:28:28,160
Speaker 1: third and short, is it third and six or less?

573
00:28:28,240 –> 00:28:30,280
Speaker 1: Is it third and six or more? Is that has

574
00:28:30,320 –> 00:28:33,280
Speaker 1: to be morphed into the data of the opponent when

575
00:28:33,280 –> 00:28:35,320
Speaker 1: you go into trying to make your decision box. And

576
00:28:35,359 –> 00:28:37,600
Speaker 1: then oh, wait a minute, what time? How much time

577
00:28:37,640 –> 00:28:40,840
Speaker 1: is there on the clock. What’s the nature of the game.

578
00:28:40,880 –> 00:28:43,880
Speaker 1: Who has momentum at that point? Which is real? It’s

579
00:28:43,920 –> 00:28:46,960
Speaker 1: super real, And so we’ve seen it, you know, work

580
00:28:47,000 –> 00:28:48,240
Speaker 1: for the Chiefs and work against the.

581
00:28:48,280 –> 00:28:50,440
Speaker 2: Chief Look at last season and try telling me momentum

582
00:28:50,480 –> 00:28:52,080
Speaker 2: is not real. It’s real.

583
00:28:52,760 –> 00:28:56,480
Speaker 1: So that’s where a guy like coach Reid, a leader

584
00:28:56,520 –> 00:28:59,880
Speaker 1: like coach Reid, has to weigh all those factors. But

585
00:29:00,720 –> 00:29:05,160
Speaker 1: just know this, it is not mathematics. It’s not Pythagoras,

586
00:29:05,240 –> 00:29:08,640
Speaker 1: it’s not Euclid. It is something that is a blend

587
00:29:08,680 –> 00:29:11,960
Speaker 1: of the two. And so just to say analytics is it,

588
00:29:12,080 –> 00:29:14,960
Speaker 1: I’ll throw it in there or do they use analytics

589
00:29:15,040 –> 00:29:17,600
Speaker 1: or not? Yeah, to an extent, but it’s not an

590
00:29:17,680 –> 00:29:20,800
Speaker 1: end all be all. That is why you and I

591
00:29:20,920 –> 00:29:25,800
Speaker 1: both respect Cynthia Freeland. I think she’s brilliant. Now, there

592
00:29:25,840 –> 00:29:28,960
Speaker 1: are some women that when they talk, I stop everything.

593
00:29:29,880 –> 00:29:33,840
Speaker 1: One is my wife, okay, right, yeah, you freeze like, okay,

594
00:29:33,960 –> 00:29:36,880
Speaker 1: what she won? Two was my mom. I lost her

595
00:29:36,920 –> 00:29:41,160
Speaker 1: in twenty sixteen, but I’d pay attention better later in

596
00:29:41,200 –> 00:29:46,240
Speaker 1: life than in adolescents. But another Cynthia Freeland. When I

597
00:29:46,320 –> 00:29:51,680
Speaker 1: hear her those those three when it’s a podcast, or

598
00:29:51,720 –> 00:29:53,760
Speaker 1: I hear her she’s a guest on our radio show,

599
00:29:54,320 –> 00:29:58,520
Speaker 1: I will I’m now tuned in because what she has

600
00:29:58,600 –> 00:30:02,440
Speaker 1: to say is usually and I love the way that

601
00:30:03,600 –> 00:30:06,520
Speaker 1: And she again was a pioneer in analytics as it

602
00:30:06,520 –> 00:30:09,520
Speaker 1: relates to the National Football League. She had a master’s

603
00:30:09,560 –> 00:30:13,320
Speaker 1: degree NBA from the Kellogg School at Northwestern, very prestigious

604
00:30:13,360 –> 00:30:16,480
Speaker 1: business school, undergrad at Boston College, but then she got

605
00:30:16,480 –> 00:30:21,200
Speaker 1: an additional master’s degree at Northwestern in I think practical analytics.

606
00:30:21,440 –> 00:30:25,840
Speaker 1: I think that’s what it’s called. So the point is

607
00:30:26,600 –> 00:30:29,040
Speaker 1: not practical analytics, but it’s something like that. It’s like

608
00:30:29,120 –> 00:30:31,040
Speaker 1: it’s just that, hey, numbers you got to take the

609
00:30:31,120 –> 00:30:33,520
Speaker 1: numbers in account with everything else. I just think she’s

610
00:30:33,560 –> 00:30:37,040
Speaker 1: awesome and there’s a lot of wisdom in that lady.

611
00:30:37,520 –> 00:30:39,600
Speaker 2: I think it’s cool that she built her own model

612
00:30:40,000 –> 00:30:43,680
Speaker 2: for to figure these things out, and she’ll talk about

613
00:30:43,720 –> 00:30:46,680
Speaker 2: it on NFL Network all the time. But yeah, she’s brilliant.

614
00:30:46,680 –> 00:30:49,720
Speaker 2: She’s super cool, and like we were saying earlier, she

615
00:30:49,880 –> 00:30:54,680
Speaker 2: blends together the circumstances of a situation with her data

616
00:30:54,840 –> 00:30:56,160
Speaker 2: and I think that’s super important.

617
00:30:57,200 –> 00:30:58,440
Speaker 1: And her mom’s a Chiefs fan.

618
00:30:58,520 –> 00:31:00,560
Speaker 2: Yeah, she as We learned that her mom’s Chiefs fan.

619
00:31:01,200 –> 00:31:03,360
Speaker 2: I can’t remember if we talked about it in the interview,

620
00:31:03,440 –> 00:31:05,760
Speaker 2: but after the fact, she had Mitch send a video

621
00:31:05,920 –> 00:31:07,800
Speaker 2: with him doing the touchdown Kansas City and said that

622
00:31:07,840 –> 00:31:08,920
Speaker 2: her mom was going to freak out.

623
00:31:08,960 –> 00:31:10,480
Speaker 1: It was great. I think it’s Marianne.

624
00:31:10,560 –> 00:31:11,800
Speaker 2: Is that Marianne?

625
00:31:11,840 –> 00:31:16,040
Speaker 1: Yeah, Marianne lives in Arizona now, card carrying red Blooded

626
00:31:16,840 –> 00:31:19,160
Speaker 1: Let’s go. She’s Kingdom fan flies the flag.

627
00:31:19,280 –> 00:31:20,640
Speaker 2: One of us love it.

628
00:31:21,160 –> 00:31:24,880
Speaker 1: We also love Cynthia Freeland. Enjoy this interview and soak

629
00:31:24,920 –> 00:31:28,000
Speaker 1: it in. Wow are we in for a treat right now?

630
00:31:28,280 –> 00:31:32,800
Speaker 1: Every time I listened to her, see her there’s just

631
00:31:32,920 –> 00:31:37,360
Speaker 1: great information. Cynthia Freeland is with us now, just fantastic

632
00:31:37,400 –> 00:31:39,440
Speaker 1: in the way she covers the National Football League and

633
00:31:39,640 –> 00:31:40,840
Speaker 1: kind of welcome to the Chief’s.

634
00:31:40,680 –> 00:31:41,840
Speaker 2: Kingdom, you know.

635
00:31:42,080 –> 00:31:44,560
Speaker 3: I love the I’m like I told you, my mom’s

636
00:31:44,600 –> 00:31:47,160
Speaker 3: a big fan. We’ve talked about this, but it’s hilarious.

637
00:31:47,160 –> 00:31:50,440
Speaker 3: But I’m a big Brett Beach fan. I feel like

638
00:31:50,680 –> 00:31:53,360
Speaker 3: I’ve known Bret Beach for quite a few years now,

639
00:31:53,440 –> 00:31:56,840
Speaker 3: and I’ve just been in awe of how, you know,

640
00:31:56,880 –> 00:32:00,440
Speaker 3: I feel like how he’s grown up, Like I think

641
00:32:00,440 –> 00:32:03,320
Speaker 3: he might be old with me, you know, but ultimately

642
00:32:03,400 –> 00:32:05,600
Speaker 3: like how he’s really grown into the position and become

643
00:32:05,760 –> 00:32:08,520
Speaker 3: like this awesome exac you know, not that he wasn’t before,

644
00:32:08,560 –> 00:32:10,760
Speaker 3: but you know, like it’s just incredible to be part

645
00:32:10,840 –> 00:32:14,640
Speaker 3: of such a dynasty and see your friend succeed. There’s

646
00:32:14,680 –> 00:32:17,680
Speaker 3: almost nothing cooler than your friends being like, wow, he’s

647
00:32:17,760 –> 00:32:18,840
Speaker 3: like kicking some butt.

648
00:32:18,960 –> 00:32:19,480
Speaker 4: It’s great.

649
00:32:22,480 –> 00:32:25,000
Speaker 1: And he’s more funny as you know, he’s hilarious, but

650
00:32:25,080 –> 00:32:27,920
Speaker 1: he’s just he’s great for the league, I think, and

651
00:32:27,960 –> 00:32:30,480
Speaker 1: the way he approaches it. So are you. But I

652
00:32:30,480 –> 00:32:32,920
Speaker 1: don’t want to ask you because there’s so many analytics

653
00:32:32,920 –> 00:32:35,360
Speaker 1: now you were a pioneer in it. Well, thanks, But

654
00:32:35,480 –> 00:32:42,560
Speaker 1: what I’m learning is I listen to everything you have

655
00:32:43,080 –> 00:32:47,120
Speaker 1: just because it’s practical analytics to me in the league

656
00:32:47,160 –> 00:32:50,440
Speaker 1: right now, Cynthia, there’s so many there’s analytics, but it’s

657
00:32:50,440 –> 00:32:52,480
Speaker 1: a lot of it’s just garbage. What have you found

658
00:32:52,520 –> 00:32:56,120
Speaker 1: out to be really? Really with your degree in two

659
00:32:56,160 –> 00:32:58,720
Speaker 1: master’s degrees one in predictive analytics.

660
00:32:58,280 –> 00:33:01,719
Speaker 2: Still paying for those practical analytics.

661
00:33:01,840 –> 00:33:03,120
Speaker 4: Well, here’s the thing.

662
00:33:03,200 –> 00:33:06,080
Speaker 3: If you if you create a framework, then you can

663
00:33:06,120 –> 00:33:08,520
Speaker 3: see whether it works or not. You can see what

664
00:33:08,560 –> 00:33:11,120
Speaker 3: went right or what went wrong. So now we have

665
00:33:11,240 –> 00:33:13,880
Speaker 3: a lot of different ways to measure things. So if

666
00:33:13,880 –> 00:33:16,400
Speaker 3: I have a genius head coach and a genius GM

667
00:33:16,480 –> 00:33:19,560
Speaker 3: and we’re gonna say, all right, we need let’s just

668
00:33:19,880 –> 00:33:23,040
Speaker 3: throw out a scenario. We need maybe some online help,

669
00:33:23,160 –> 00:33:25,320
Speaker 3: you know, just just just throw out a scenario. And

670
00:33:25,360 –> 00:33:27,200
Speaker 3: it’s like, well, what what do I want to do?

671
00:33:27,200 –> 00:33:29,920
Speaker 3: Do I want to play a compressed formation which we’ve

672
00:33:29,960 –> 00:33:32,440
Speaker 3: seen for several years, or do I want to go

673
00:33:32,480 –> 00:33:34,080
Speaker 3: back to when Tyreek Hill is here and do we

674
00:33:34,120 –> 00:33:36,080
Speaker 3: want to play a really wide formation.

675
00:33:36,560 –> 00:33:38,800
Speaker 4: I don’t know. I’m not making that decision. We’ll let

676
00:33:38,880 –> 00:33:41,120
Speaker 4: you know a first battle hall of favor.

677
00:33:41,160 –> 00:33:43,520
Speaker 3: When he does, we’ll let him make that decision, and

678
00:33:43,560 –> 00:33:46,280
Speaker 3: then let’s try to fill those pieces. So let’s create

679
00:33:46,280 –> 00:33:48,160
Speaker 3: a structure. All right, let’s just pretend we want to

680
00:33:48,160 –> 00:33:50,280
Speaker 3: go back to a wide formation. I’m just making things up, right.

681
00:33:50,560 –> 00:33:53,480
Speaker 3: I need a guard then, who is really nimble left

682
00:33:53,480 –> 00:33:57,480
Speaker 3: and right? The lateral movement needs to be absolutely accounted for?

683
00:33:57,680 –> 00:33:57,960
Speaker 2: Great.

684
00:33:58,200 –> 00:34:01,800
Speaker 3: I also, because the chiefs really value speed, I need

685
00:34:01,840 –> 00:34:05,200
Speaker 3: a guy who maybe can has a quick quicker reflexes

686
00:34:05,240 –> 00:34:08,040
Speaker 3: than most. I can’t sacrifice that. So what is it

687
00:34:08,120 –> 00:34:10,600
Speaker 3: that I What is it that I’m looking for? And

688
00:34:10,640 –> 00:34:12,719
Speaker 3: how do I select for those right attributes? Now if

689
00:34:12,719 –> 00:34:15,399
Speaker 3: I’m if I have a good system and it still

690
00:34:15,440 –> 00:34:18,080
Speaker 3: doesn’t go right, then at least you know, you can

691
00:34:18,160 –> 00:34:20,759
Speaker 3: kind of see where your flawed logic went wrong. But

692
00:34:21,120 –> 00:34:22,960
Speaker 3: we now have a lot of data to create the

693
00:34:23,000 –> 00:34:25,400
Speaker 3: right system. The data in and of itself is all

694
00:34:25,400 –> 00:34:27,759
Speaker 3: a bunch of noise. But if you create the right

695
00:34:27,800 –> 00:34:31,480
Speaker 3: structure and framework to kind of test your hypothesis, and

696
00:34:31,520 –> 00:34:34,600
Speaker 3: if you know what you’re looking for, God forbid, and

697
00:34:34,640 –> 00:34:38,600
Speaker 3: you don’t get swayed by oh the shiny object over here,

698
00:34:38,719 –> 00:34:41,480
Speaker 3: you know, squirrel, right, you know none of that. If

699
00:34:41,480 –> 00:34:43,920
Speaker 3: you can, if you can stay true to what your

700
00:34:44,000 –> 00:34:47,600
Speaker 3: principles are, that’s when you have a really successful team.

701
00:34:48,360 –> 00:34:50,319
Speaker 4: And if you have Patrick, I mean, that really helps,

702
00:34:50,320 –> 00:34:51,920
Speaker 4: it helps, It really.

703
00:34:51,719 –> 00:34:54,080
Speaker 2: Helps in terms of your journey. When did it click

704
00:34:54,120 –> 00:34:56,040
Speaker 2: for you that this is the kind of path you

705
00:34:56,080 –> 00:34:58,839
Speaker 2: wanted to go down? The sports analytics, you.

706
00:34:58,800 –> 00:35:02,680
Speaker 3: Know, it’s it’s like very weird and how it chooses

707
00:35:02,760 –> 00:35:05,319
Speaker 3: you in certain ways. I just found that I had

708
00:35:05,360 –> 00:35:08,560
Speaker 3: like an exceptional amount of I’m not a patient person

709
00:35:08,719 –> 00:35:11,640
Speaker 3: by nature, but I had an exceptional amount of patients

710
00:35:11,640 –> 00:35:14,800
Speaker 3: for being wrong telling these stories with data and being

711
00:35:14,880 –> 00:35:18,120
Speaker 3: wrong when people would I didn’t mind when people would

712
00:35:18,120 –> 00:35:19,680
Speaker 3: like yell at me and tell me I didn’t know anything,

713
00:35:19,800 –> 00:35:22,719
Speaker 3: Like I wasn’t like screw you, but I didn’t get

714
00:35:22,760 –> 00:35:25,399
Speaker 3: like activated. I was just like, Okay, well that’s actually

715
00:35:25,440 –> 00:35:28,759
Speaker 3: good information. They’re telling me about what they think, and

716
00:35:28,840 –> 00:35:30,360
Speaker 3: if they want to get mad about it, that’s like

717
00:35:30,360 –> 00:35:32,800
Speaker 3: their problem, right. So but I had an exceptional amount

718
00:35:32,800 –> 00:35:34,799
Speaker 3: of like it just felt right, you know, it just

719
00:35:34,840 –> 00:35:37,359
Speaker 3: felt like, Okay, I can I can understand this, and

720
00:35:37,520 –> 00:35:38,480
Speaker 3: here’s how it can help.

721
00:35:38,640 –> 00:35:39,759
Speaker 4: Let’s not oversell it.

722
00:35:40,080 –> 00:35:42,000
Speaker 3: But if you think about it if you could be

723
00:35:42,080 –> 00:35:46,120
Speaker 3: ten percent better every game. That’s one point seven games

724
00:35:46,120 –> 00:35:50,080
Speaker 3: a season. Yeah, that’s often okay. For other teams, that’s

725
00:35:50,120 –> 00:35:52,600
Speaker 3: often like going to the playoffs or not. Chiefs usually

726
00:35:52,640 –> 00:35:55,800
Speaker 3: are like at thirteen wins, so like whatever. But ultimately,

727
00:35:55,840 –> 00:35:58,200
Speaker 3: for many, I mean, look at the freaking NFC South,

728
00:35:58,239 –> 00:36:01,120
Speaker 3: one point seven games would have been the difference.

729
00:36:01,239 –> 00:36:03,440
Speaker 1: Its dominating, dominating.

730
00:36:03,840 –> 00:36:06,239
Speaker 3: But the difference is is, you know, like, just to

731
00:36:06,239 –> 00:36:08,200
Speaker 3: be ten percent better every time, don’t be.

732
00:36:08,560 –> 00:36:10,160
Speaker 4: It’s not a solve everything.

733
00:36:10,239 –> 00:36:12,480
Speaker 3: It’s not like people are like, oh AI is coming

734
00:36:12,520 –> 00:36:15,200
Speaker 3: to like steal your job. Some jobs, yes, but we’ve

735
00:36:15,200 –> 00:36:17,399
Speaker 3: got eleven men on each side coming at each other

736
00:36:17,440 –> 00:36:20,319
Speaker 3: every time. Let’s make the game healthier, let’s make the

737
00:36:20,360 –> 00:36:23,560
Speaker 3: strategy better. I want my best strategy versus your best strategy,

738
00:36:23,560 –> 00:36:25,000
Speaker 3: and I want it with my healthy players.

739
00:36:25,400 –> 00:36:26,520
Speaker 4: Like who doesn’t want that?

740
00:36:28,440 –> 00:36:29,959
Speaker 2: Oh wait, yeah yeah right.

741
00:36:30,080 –> 00:36:32,400
Speaker 1: And this is why, And I’m not trying to flatter

742
00:36:32,480 –> 00:36:35,720
Speaker 1: you why your stuff is so good compared to other things,

743
00:36:36,120 –> 00:36:38,319
Speaker 1: because we’ll see I can put a subjective number on

744
00:36:38,400 –> 00:36:40,239
Speaker 1: something and then people think, oh my gosh, that’s an

745
00:36:40,239 –> 00:36:43,279
Speaker 1: analytic No, it’s just my opinion. So it’s not the

746
00:36:43,320 –> 00:36:46,279
Speaker 1: Pythagorean theorem. And here’s one I want to ask you about.

747
00:36:46,280 –> 00:36:49,480
Speaker 1: It’s the whole third down, fourth down phenomenon. It’s a phenomenon.

748
00:36:49,520 –> 00:36:52,760
Speaker 1: And yet we saw at the seminal moment a fourth

749
00:36:52,800 –> 00:36:58,879
Speaker 1: down non conversion turned into a nuclear explosion. What about that?

750
00:36:59,200 –> 00:37:01,680
Speaker 1: And the quantitative versus qualitative analysis?

751
00:37:01,719 –> 00:37:03,920
Speaker 3: Sure, so there’s a couple of things involved that I

752
00:37:03,960 –> 00:37:06,520
Speaker 3: will never know as an outsider, right, I never know

753
00:37:06,800 –> 00:37:09,840
Speaker 3: if on the last play my right tackle got smoked

754
00:37:10,080 –> 00:37:13,440
Speaker 3: any and his right arms like like a little tiny victim,

755
00:37:14,120 –> 00:37:16,440
Speaker 3: right Like, I don’t know that because I can’t see that.

756
00:37:17,120 –> 00:37:19,000
Speaker 3: You know, he’s gonna put his arm down because he’s

757
00:37:19,000 –> 00:37:21,279
Speaker 3: a professional, and he’s gonna look like he’s totally fine.

758
00:37:21,560 –> 00:37:22,480
Speaker 4: But I don’t know that.

759
00:37:22,600 –> 00:37:24,880
Speaker 3: As an outsider, I don’t know do I have the

760
00:37:24,960 –> 00:37:27,960
Speaker 3: right play call against this defense? And does everyone understand

761
00:37:27,960 –> 00:37:30,120
Speaker 3: the assignment? I don’t know any of that stuff. I

762
00:37:30,200 –> 00:37:33,680
Speaker 3: can make a great plan, like the Lions were for

763
00:37:33,719 –> 00:37:35,759
Speaker 3: many years, and you know I’m from Michigan, so I’m

764
00:37:35,800 –> 00:37:39,120
Speaker 3: I’m a Lions fan. Dan Campbell he made what some

765
00:37:39,320 –> 00:37:42,719
Speaker 3: analytics people would have said, we’re stupid fourth down decisions,

766
00:37:43,560 –> 00:37:47,279
Speaker 3: but that was their identity they practiced it. They were

767
00:37:47,320 –> 00:37:50,200
Speaker 3: told to do this. This is the play against that

768
00:37:50,560 –> 00:37:52,839
Speaker 3: you see this type of zone. This is what we’re

769
00:37:52,840 –> 00:37:55,800
Speaker 3: doing on Okay, are my signals there? I’m gonna go

770
00:37:55,880 –> 00:37:58,799
Speaker 3: with it. It doesn’t necessarily mean it’s the best decision. But

771
00:37:58,880 –> 00:38:02,400
Speaker 3: that was that was the assignment and they did it right. Okay,

772
00:38:02,560 –> 00:38:05,880
Speaker 3: like that’s that’s that’s fair, right, But it doesn’t mean like,

773
00:38:06,160 –> 00:38:08,319
Speaker 3: I don’t I think people have conflated like what the

774
00:38:08,320 –> 00:38:11,520
Speaker 3: analytics would say to do with because on TV it

775
00:38:11,560 –> 00:38:14,400
Speaker 3: sounds like this overlord, like the analytics say. But just

776
00:38:14,440 –> 00:38:17,400
Speaker 3: so everyone here knows, it’s like ESPN has their own model,

777
00:38:17,520 –> 00:38:20,160
Speaker 3: NFL has their own model, Cynthia has her own model,

778
00:38:20,239 –> 00:38:22,279
Speaker 3: the Chiefs have their own model, the Lions have there.

779
00:38:22,280 –> 00:38:25,200
Speaker 3: It’s like there are so many different models and what

780
00:38:25,280 –> 00:38:28,160
Speaker 3: does it say? Well, you know, and by the way,

781
00:38:28,200 –> 00:38:29,960
Speaker 3: you can also make the contrarian decision.

782
00:38:30,120 –> 00:38:32,719
Speaker 4: You’re still a human. They’re not a robot like deciding this.

783
00:38:33,040 –> 00:38:36,040
Speaker 3: You just should know where you’re giving yourself better odds

784
00:38:36,120 –> 00:38:37,680
Speaker 3: and know when you’re making that.

785
00:38:38,000 –> 00:38:38,960
Speaker 4: It’s all about knowledge.

786
00:38:38,960 –> 00:38:41,920
Speaker 3: It’s not about changing your decisions, about saying like all right, well,

787
00:38:41,960 –> 00:38:44,480
Speaker 3: in an objective situation, when I have a neutral I’m

788
00:38:44,520 –> 00:38:46,120
Speaker 3: not activated. It’s not the heat of the moment of

789
00:38:46,120 –> 00:38:48,640
Speaker 3: the game. When my Amigdala isn’t hijacked. This is what

790
00:38:48,680 –> 00:38:50,719
Speaker 3: I would decide. You can still choose to make the

791
00:38:50,760 –> 00:38:54,160
Speaker 3: other decision or not. So I I mean, I don’t

792
00:38:54,200 –> 00:38:55,960
Speaker 3: know what the play was called, because a lot of

793
00:38:56,040 –> 00:38:57,719
Speaker 3: it has to come down to like do you have

794
00:38:57,800 –> 00:39:01,759
Speaker 3: the right play? Does everyone know that play? Because I

795
00:39:01,800 –> 00:39:03,759
Speaker 3: know that sounds stupid to say, but sometimes I don’t

796
00:39:03,800 –> 00:39:05,759
Speaker 3: know the plan and you got to execute you’re right

797
00:39:06,120 –> 00:39:06,920
Speaker 3: and then you have to do it.

798
00:39:07,200 –> 00:39:10,520
Speaker 2: Yeah, So there’s analytics in game like we’re talking about,

799
00:39:10,560 –> 00:39:13,399
Speaker 2: but like you touched on earlier, also analytics with team building. Yeah,

800
00:39:13,480 –> 00:39:15,600
Speaker 2: talking about the draft, that’s my favorite one. We’re talking

801
00:39:15,600 –> 00:39:17,919
Speaker 2: about free agency. Out of some of your models apply

802
00:39:17,960 –> 00:39:20,560
Speaker 2: to the team building process of this time of year, this.

803
00:39:20,520 –> 00:39:21,840
Speaker 4: Is the most bananas.

804
00:39:22,640 –> 00:39:26,760
Speaker 3: This one’s because I so, I very I strongly hate

805
00:39:26,760 –> 00:39:27,520
Speaker 3: the transfer portal.

806
00:39:27,560 –> 00:39:29,160
Speaker 4: I think it’s the stupidest thing we’ve ever come up with.

807
00:39:29,440 –> 00:39:31,600
Speaker 3: There needs to be somewhere in between what it used

808
00:39:31,640 –> 00:39:33,520
Speaker 3: to be back in my day when you had to

809
00:39:33,520 –> 00:39:35,879
Speaker 3: sit out a full year and then like this Willy Neily,

810
00:39:36,080 –> 00:39:38,319
Speaker 3: like if you sign a contract for that much Niel money,

811
00:39:38,320 –> 00:39:39,799
Speaker 3: you should You’re an adult. You should have to say,

812
00:39:39,800 –> 00:39:41,400
Speaker 3: I don’t know whatever, Maybe I’m.

813
00:39:41,200 –> 00:39:42,720
Speaker 2: Old now I’m with you.

814
00:39:45,160 –> 00:39:48,920
Speaker 3: Yeah, but there has to be some continuity, like I’m

815
00:39:48,920 –> 00:39:51,319
Speaker 3: an adult, I sign a contract. I can’t just be like, hey,

816
00:39:51,520 –> 00:39:54,000
Speaker 3: I’m going to go do something else now, right, Like no, So,

817
00:39:54,680 –> 00:39:57,560
Speaker 3: but what one of the consequences of that is playbooks

818
00:39:57,560 –> 00:40:02,520
Speaker 3: have shrunk. So you may have the scouting department may say, well,

819
00:40:02,520 –> 00:40:04,759
Speaker 3: this is how they handle being on a new team,

820
00:40:04,960 –> 00:40:07,719
Speaker 3: or this is how they handle money. Okay, that’s interesting

821
00:40:07,760 –> 00:40:11,680
Speaker 3: to know, but how do they play football? I’m not sure, Like,

822
00:40:11,800 –> 00:40:12,880
Speaker 3: find me a pulling guard?

823
00:40:12,880 –> 00:40:13,080
Speaker 4: All.

824
00:40:13,080 –> 00:40:16,680
Speaker 3: Wait, like they don’t, you know why because their quarterback changes,

825
00:40:16,680 –> 00:40:19,000
Speaker 3: they’re running back changes, and their wide receiver changes, so

826
00:40:19,080 –> 00:40:21,080
Speaker 3: why would they They can’t get that far?

827
00:40:21,320 –> 00:40:24,080
Speaker 4: Yeah, and so it’s very tricky to evaluate.

828
00:40:24,160 –> 00:40:27,160
Speaker 3: And by the way, now they’re crazy different ages like

829
00:40:27,600 –> 00:40:32,640
Speaker 3: twenty five or twenty same position and you’re like, well,

830
00:40:32,680 –> 00:40:35,279
Speaker 3: I don’t I mean, Brett would never the twenty five

831
00:40:35,360 –> 00:40:36,600
Speaker 3: year olds is never going to be achieved.

832
00:40:36,800 –> 00:40:41,560
Speaker 2: Just so you know, we’ve talked about George Carl Yeah,

833
00:40:41,600 –> 00:40:42,719
Speaker 2: you know, it’s nuts.

834
00:40:43,120 –> 00:40:46,640
Speaker 1: And he’s played four years. Yeah, it’s you’re speaking to

835
00:40:46,680 –> 00:40:48,000
Speaker 1: the choir here, you’re dead on.

836
00:40:48,239 –> 00:40:50,600
Speaker 3: But so that’s why this year it’s more about who’s

837
00:40:50,640 –> 00:40:52,440
Speaker 3: philosophy and who can stay true to it.

838
00:40:52,520 –> 00:40:56,359
Speaker 1: Sure, and it’s caused somewhat of a chaotic approach or

839
00:40:56,719 –> 00:40:59,600
Speaker 1: uh total Yeah, and looking at really what’s the analysis?

840
00:41:00,880 –> 00:41:04,319
Speaker 1: So it the free agency market as we pivot from here,

841
00:41:05,080 –> 00:41:08,560
Speaker 1: and I’ve said it’s those first days and the legally

842
00:41:08,680 –> 00:41:09,759
Speaker 1: legal tampering, which is.

843
00:41:09,680 –> 00:41:13,160
Speaker 4: Still free agencies are on March ninth.

844
00:41:13,239 –> 00:41:15,880
Speaker 1: Yeah, but then somebody on the eighth, but there’s some

845
00:41:17,080 –> 00:41:20,400
Speaker 1: But it’s the Friday after Thanksgiving where everybody goes to

846
00:41:20,640 –> 00:41:22,800
Speaker 1: shop and spend way more than they should on things.

847
00:41:23,080 –> 00:41:27,040
Speaker 1: So analytics as it pertains to free agency and this

848
00:41:27,160 –> 00:41:28,880
Speaker 1: specific twenty twenty six free.

849
00:41:28,719 –> 00:41:30,680
Speaker 3: Agent market, well, the good news is you don’t need

850
00:41:30,719 –> 00:41:32,239
Speaker 3: a quarterback because I think this is going to be

851
00:41:32,239 –> 00:41:35,239
Speaker 3: a wild free agency for quarterbacks. Like I think like

852
00:41:35,280 –> 00:41:37,000
Speaker 3: I think Kyler Murray is going to get some crazy

853
00:41:37,040 –> 00:41:39,640
Speaker 3: deal somewhere. I think Malik Willis is going to get

854
00:41:39,640 –> 00:41:41,640
Speaker 3: a crazy I think there’s going to be some talk

855
00:41:41,680 –> 00:41:44,600
Speaker 3: about mac Jones. Are think eim a second from actual

856
00:41:44,719 –> 00:41:48,000
Speaker 3: Like what’s going on, and that’s going to cause a

857
00:41:48,000 –> 00:41:50,520
Speaker 3: lot of ripple effects, except for the Raiders, who have

858
00:41:50,560 –> 00:41:52,719
Speaker 3: a billion dollars in that they need to spend and

859
00:41:52,760 –> 00:41:55,120
Speaker 3: they’re getting for Nana Mendoza, so they’re in.

860
00:41:55,239 –> 00:41:57,799
Speaker 4: They’re going to buy up a lot of assets. You’d think,

861
00:41:58,080 –> 00:41:58,799
Speaker 4: I feel like they have to.

862
00:41:58,840 –> 00:42:01,719
Speaker 3: I think they’re like under anyways, but but ultimately I

863
00:42:01,719 –> 00:42:04,040
Speaker 3: think they’re under the floor right now, like they actually

864
00:42:04,040 –> 00:42:07,600
Speaker 3: have to spend money. But but ultimately, I think what

865
00:42:07,640 –> 00:42:09,880
Speaker 3: you’ll see here is the first wave is going to

866
00:42:09,960 –> 00:42:12,759
Speaker 3: be wild from like a media perspective, but I think,

867
00:42:13,120 –> 00:42:15,359
Speaker 3: just like most years, it’s gonna be those guys that

868
00:42:15,440 –> 00:42:18,240
Speaker 3: go a little bit later, what maybe likes the second

869
00:42:18,280 –> 00:42:20,240
Speaker 3: wave that are going to be more impact players.

870
00:42:20,239 –> 00:42:22,360
Speaker 4: Just because we’re gonna see some splashy splash.

871
00:42:22,719 –> 00:42:25,319
Speaker 3: I think it’s going to be fun to watch from

872
00:42:25,360 –> 00:42:27,920
Speaker 3: an outsider point of view. But if you didn’t need

873
00:42:27,920 –> 00:42:30,200
Speaker 3: a quarterback in your team, I mean, who’s gonna win

874
00:42:30,239 –> 00:42:32,600
Speaker 3: the Elik Willis Lottery. Is it going to be you know,

875
00:42:32,760 –> 00:42:35,200
Speaker 3: Mike Lafleur, Matt’s brother, or is it going to go

876
00:42:35,239 –> 00:42:38,000
Speaker 3: down to Jeff Hafley. I mean, they’re all coming from

877
00:42:38,040 –> 00:42:39,880
Speaker 3: that packer Street, so they’re very familiar with him, so

878
00:42:39,880 –> 00:42:42,359
Speaker 3: you’d think at least point being is you know, point

879
00:42:42,360 –> 00:42:43,920
Speaker 3: being is, I think we’re gonna good.

880
00:42:43,760 –> 00:42:44,640
Speaker 4: News for the Chiefs year.

881
00:42:44,640 –> 00:42:46,319
Speaker 3: I think you’ll be able to get some deals on

882
00:42:46,400 –> 00:42:49,800
Speaker 3: some non quarterback pickups.

883
00:42:50,239 –> 00:42:51,600
Speaker 1: Good because we need some stuff.

884
00:42:51,719 –> 00:42:56,960
Speaker 3: You definitely need some stuff, but everyone needs some stuff,

885
00:42:57,160 –> 00:42:59,200
Speaker 3: and I think most people would give up, you know,

886
00:42:59,360 –> 00:43:01,480
Speaker 3: a lot to be in a position of the Chiefs.

887
00:43:01,960 –> 00:43:05,319
Speaker 3: You know, just that guy fifteen just saying makes life

888
00:43:05,360 –> 00:43:07,359
Speaker 3: a little bit easier. You know, that was the number

889
00:43:07,400 –> 00:43:09,120
Speaker 3: one thing in the draft, that or the combine that

890
00:43:09,200 –> 00:43:12,440
Speaker 3: I think is so funny. The year after, you know,

891
00:43:12,480 –> 00:43:14,160
Speaker 3: Patrick Maheen, the starter, everyone was like, you know, I

892
00:43:14,160 –> 00:43:15,480
Speaker 3: had a number one great on him.

893
00:43:15,680 –> 00:43:18,160
Speaker 2: I’m like, did you Yeah, everybody loves it.

894
00:43:18,320 –> 00:43:21,160
Speaker 4: Everybody Yeah, Like seems like you did because you didn’t

895
00:43:21,200 –> 00:43:21,520
Speaker 4: take him.

896
00:43:21,800 –> 00:43:24,120
Speaker 2: We have the receipts of the people that said stuff

897
00:43:24,160 –> 00:43:26,160
Speaker 2: like at the combine that year, like on the radio

898
00:43:26,239 –> 00:43:28,560
Speaker 2: saying like, oh this guy’s not any good foot.

899
00:43:28,360 –> 00:43:32,279
Speaker 1: Were all right, yeah, amazing. I’m just dying to ask

900
00:43:32,320 –> 00:43:37,200
Speaker 1: you this question. And Matt knows and every week Cynthia

901
00:43:37,200 –> 00:43:39,120
Speaker 1: and I’m getting ready to prep who our opponent is

902
00:43:39,160 –> 00:43:41,320
Speaker 1: going to be I’m going, Wow, this league is changing,

903
00:43:41,440 –> 00:43:44,800
Speaker 1: and it’s changing to eight of the top nine teams

904
00:43:45,520 –> 00:43:48,200
Speaker 1: in time of possession, we’re in the playoffs. Teams were

905
00:43:48,200 –> 00:43:51,560
Speaker 1: looking not to score, but to control and then to score.

906
00:43:51,880 –> 00:43:54,160
Speaker 1: It was our whole season. We couldn’t get teams off

907
00:43:54,200 –> 00:43:58,040
Speaker 1: the field and they just controlled every game. What have

908
00:43:58,120 –> 00:44:01,840
Speaker 1: you noticed their analytically and how long could this cycle be?

909
00:44:02,719 –> 00:44:05,080
Speaker 3: I think we’ll probably see a reversion pretty soon because

910
00:44:05,239 –> 00:44:08,560
Speaker 3: I think what happened was the strategy this year was

911
00:44:08,800 –> 00:44:11,880
Speaker 3: to emulate what ultimately the Seahawks were doing, which was

912
00:44:12,280 –> 00:44:15,399
Speaker 3: rushing with four and dropping guys back in coverage. Now,

913
00:44:15,480 –> 00:44:17,279
Speaker 3: it really works a lot better if you have like

914
00:44:17,400 –> 00:44:20,239
Speaker 3: Nick even Warre, who he’s like kind of a safety.

915
00:44:20,360 –> 00:44:22,239
Speaker 3: I’d like put up the quotes there because like he

916
00:44:22,320 –> 00:44:24,680
Speaker 3: played like twelve snaps at true safety and like the

917
00:44:24,719 –> 00:44:29,439
Speaker 3: rest were like nickel linebacker roaming rumor like whatever the

918
00:44:29,440 –> 00:44:29,920
Speaker 3: position is.

919
00:44:29,960 –> 00:44:33,600
Speaker 4: What point is it doesn’t work. I love killing.

920
00:44:34,920 –> 00:44:35,800
Speaker 2: For that exact reason.

921
00:44:36,000 –> 00:44:38,320
Speaker 3: Yeah, But I think what happened was is they pulled

922
00:44:38,320 –> 00:44:40,400
Speaker 3: everyone off coverage. But that only works if you got

923
00:44:40,400 –> 00:44:41,680
Speaker 3: like a Nicki and Worriy who can come in and

924
00:44:41,680 –> 00:44:42,319
Speaker 3: stop the run.

925
00:44:42,600 –> 00:44:43,720
Speaker 4: But a lot of guys pulled.

926
00:44:43,800 –> 00:44:48,680
Speaker 3: There was tons of dime nickel, like tons of multiple

927
00:44:48,760 –> 00:44:51,400
Speaker 3: defensive back sets and weird fronts.

928
00:44:51,440 –> 00:44:54,440
Speaker 4: So what did people do? They ran? They ran the football.

929
00:44:54,840 –> 00:44:57,759
Speaker 3: They just kept running it and the teams and they

930
00:44:57,800 –> 00:45:00,520
Speaker 3: actually ran on the inside. There was like almost no,

931
00:45:00,680 –> 00:45:03,560
Speaker 3: like not almost no, but far less outside zone rushing

932
00:45:03,600 –> 00:45:05,560
Speaker 3: than we’ve seen in many, many years. But there’ll be

933
00:45:05,600 –> 00:45:09,239
Speaker 3: a reversion because you pull all those guys off, it’s

934
00:45:09,280 –> 00:45:11,320
Speaker 3: going to be like like that’s what Bonix did was

935
00:45:11,360 –> 00:45:12,280
Speaker 3: screen pass City.

936
00:45:12,719 –> 00:45:16,280
Speaker 4: It was like ten billion screen passes and bubbles and tunnels.

937
00:45:16,920 –> 00:45:18,520
Speaker 4: I was like, do you want to throw the ball

938
00:45:18,560 –> 00:45:19,239
Speaker 4: for three yards?

939
00:45:19,320 –> 00:45:19,920
Speaker 2: Sure? Why not?

940
00:45:20,160 –> 00:45:21,640
Speaker 4: I’m here, let’s do it.

941
00:45:21,520 –> 00:45:24,680
Speaker 1: Like or five wide? It’s five wide. Hey, we’re five wide.

942
00:45:24,719 –> 00:45:26,400
Speaker 1: You better go dime and then I’m gonna throw.

943
00:45:26,239 –> 00:45:27,560
Speaker 2: A three yard hook crop exactly.

944
00:45:27,719 –> 00:45:28,040
Speaker 1: Yeah.

945
00:45:28,320 –> 00:45:29,120
Speaker 4: But it worked.

946
00:45:29,320 –> 00:45:31,840
Speaker 3: Yeah, and you know what, it would have kept working

947
00:45:32,280 –> 00:45:34,360
Speaker 3: had he not blown out ank, Like I think that

948
00:45:34,440 –> 00:45:36,919
Speaker 3: they would have been able to I don’t know. I mean,

949
00:45:36,960 –> 00:45:39,720
Speaker 3: I look, I’m no shade to their you know, Jared

950
00:45:39,760 –> 00:45:42,120
Speaker 3: Simon’s a nice kid. But that was kind of a

951
00:45:42,560 –> 00:45:45,239
Speaker 3: It was an interesting It was an interesting strategy against.

952
00:45:45,120 –> 00:45:47,799
Speaker 2: Were cheese fans. We don’t like the Broncos. It’s okay, yeah, no, but.

953
00:45:48,239 –> 00:45:50,480
Speaker 4: I’m just talking about the strategy, just talking about the.

954
00:45:50,520 –> 00:45:52,759
Speaker 1: Leak changed and no one really talked about it. You

955
00:45:52,840 –> 00:45:54,839
Speaker 1: kind of alluded to it. But every week I’m going

956
00:45:54,880 –> 00:45:56,720
Speaker 1: through it, I was telling man, I’m like, oh my gosh,

957
00:45:56,719 –> 00:45:57,640
Speaker 1: this league is done.

958
00:45:57,920 –> 00:45:59,839
Speaker 3: Zone rushing will come back this year? You do, Okay,

959
00:46:00,000 –> 00:46:02,520
Speaker 3: I think, I mean again, it never fully went away,

960
00:46:02,600 –> 00:46:04,920
Speaker 3: but I think you’ll see more of that now because

961
00:46:05,160 –> 00:46:07,279
Speaker 3: a lot of a lot of the guys now like

962
00:46:08,040 –> 00:46:10,839
Speaker 3: now that that does suppose that some of these new

963
00:46:10,880 –> 00:46:13,759
Speaker 3: tackles can set an edge who you know, Yeah, that’s

964
00:46:13,760 –> 00:46:16,920
Speaker 3: a good question right there, but you know, assuming that happens.

965
00:46:17,200 –> 00:46:19,400
Speaker 3: But I think, like you know, like the Jamir Gibbs

966
00:46:19,440 –> 00:46:21,600
Speaker 3: of it all, that’s kind of what I think people.

967
00:46:21,680 –> 00:46:23,440
Speaker 3: I think Jamier Gibbs and James Cook, I think you’re

968
00:46:23,440 –> 00:46:25,200
Speaker 3: gonna see both of them catch a ton of passes

969
00:46:25,239 –> 00:46:26,840
Speaker 3: this year, and then I think you’re gonna see them

970
00:46:26,880 –> 00:46:29,600
Speaker 3: run outside more after that because you pull so many

971
00:46:29,640 –> 00:46:32,560
Speaker 3: guys back in the coverage, you just create some space.

972
00:46:32,760 –> 00:46:34,799
Speaker 3: Good thing you have eighty seven. I hope he comes back.

973
00:46:34,840 –> 00:46:36,799
Speaker 3: So you know, I think he’s coming back. I think

974
00:46:36,800 –> 00:46:37,439
Speaker 3: he’s coming back.

975
00:46:38,120 –> 00:46:40,560
Speaker 1: You’re awesome, Well, you’re awesome. Your stuff’s awesome.

976
00:46:40,840 –> 00:46:43,360
Speaker 3: You know, before we started, I made you I shut

977
00:46:43,360 –> 00:46:45,520
Speaker 3: my eyes and made him get you a touchdown Chiefs

978
00:46:45,520 –> 00:46:47,760
Speaker 3: for me, because when you’re with a legend, you don’t

979
00:46:47,800 –> 00:46:50,480
Speaker 3: miss that opportunity. And it’s it was so good. I

980
00:46:50,480 –> 00:46:52,239
Speaker 3: had to close my eyes though, because then I was

981
00:46:52,280 –> 00:46:52,760
Speaker 3: in the moment.

982
00:46:53,680 –> 00:46:54,800
Speaker 1: Well, God, bless your mom.

983
00:46:55,040 –> 00:46:56,640
Speaker 4: Yes, my mom, here’s now a.

984
00:46:56,600 –> 00:46:59,360
Speaker 1: Card carrying, red blooded member of the Chiefs Kingdom.

985
00:46:59,400 –> 00:47:01,040
Speaker 4: Let’s go a flag every game.

986
00:47:01,280 –> 00:47:01,560
Speaker 1: Let’s go.

987
00:47:01,719 –> 00:47:05,640
Speaker 3: She’s like, nobody touches Patrick, Nobody’s likes for three minutes.

988
00:47:05,680 –> 00:47:09,040
Speaker 3: That’s that’s all. I’ll talk three minutes. Mariann Freeland loves him.

989
00:47:09,600 –> 00:47:10,879
Speaker 1: She didn’t like the Chargers much.

990
00:47:10,920 –> 00:47:13,640
Speaker 4: Then I’m none at all. Okay, no, no, she no, no.

991
00:47:13,880 –> 00:47:16,680
Speaker 3: She told me the other day the other day, God,

992
00:47:16,760 –> 00:47:18,080
Speaker 3: what did she say to me? You know, I used

993
00:47:18,080 –> 00:47:19,920
Speaker 3: to do preseason for the Bill. She’s like, and I

994
00:47:19,960 –> 00:47:21,719
Speaker 3: now do preseason for the Broncos. She’s like, you know,

995
00:47:21,800 –> 00:47:24,800
Speaker 3: I can’t watch any of your preseasons. I’m like, mom,

996
00:47:25,960 –> 00:47:27,600
Speaker 3: and she’s like, absolutely not.

997
00:47:27,680 –> 00:47:29,440
Speaker 4: She’s like you are. She’s like, you’re a trader. I’m like,

998
00:47:29,520 –> 00:47:30,280
Speaker 4: I’m not a treat.

999
00:47:30,840 –> 00:47:34,879
Speaker 2: Pay me to pay my bills, mom, it’s just like

1000
00:47:35,160 –> 00:47:37,920
Speaker 2: one of us. Well, Kimmy checks does our preseason. I know,

1001
00:47:39,000 –> 00:47:40,120
Speaker 2: I love She’s the best.

1002
00:47:40,640 –> 00:47:42,680
Speaker 4: Kimmy is one of my favorites of all time that

1003
00:47:42,680 –> 00:47:43,200
Speaker 4: I’ve worked with.

1004
00:47:43,360 –> 00:47:44,399
Speaker 2: She’s the best. Yeah.

1005
00:47:44,440 –> 00:47:46,399
Speaker 4: So, but my mom’s like trader.

1006
00:47:47,239 –> 00:47:51,160
Speaker 1: One of our favorites. When she talks wet because her

1007
00:47:51,280 –> 00:47:52,799
Speaker 1: stuff is really good.

1008
00:47:53,120 –> 00:47:54,280
Speaker 4: You I appreciate that.

1009
00:47:54,840 –> 00:47:57,920
Speaker 1: Excellent, excellent work there. I just every word she had.

1010
00:47:57,960 –> 00:47:59,719
Speaker 1: I was just like riveted on every word.

1011
00:48:00,080 –> 00:48:03,319
Speaker 2: Yeah. It was awesome. And you know, the perfect like

1012
00:48:04,160 –> 00:48:07,080
Speaker 2: tag for that for me was We shot that on

1013
00:48:07,200 –> 00:48:09,719
Speaker 2: Thursday and we headed to the airport a few hours later.

1014
00:48:10,239 –> 00:48:11,960
Speaker 2: You happen to see who I was sitting next to

1015
00:48:11,960 –> 00:48:12,680
Speaker 2: on the flight back.

1016
00:48:13,239 –> 00:48:13,839
Speaker 1: I did not.

1017
00:48:15,520 –> 00:48:18,120
Speaker 2: Next to Mike Fraser, which is the best. So Mike

1018
00:48:18,160 –> 00:48:20,960
Speaker 2: Fraser has been with Coach Read for like over twenty

1019
00:48:21,040 –> 00:48:24,080
Speaker 2: years and he is Coach Reads analytics.

1020
00:48:23,480 –> 00:48:25,280
Speaker 1: Guy, the original Elmer Ward Whistle.

1021
00:48:25,440 –> 00:48:28,239
Speaker 2: Yeah, but he’s really good at what he does. And

1022
00:48:28,360 –> 00:48:30,759
Speaker 2: I think it’s so cool because think about the world

1023
00:48:30,760 –> 00:48:32,840
Speaker 2: that we live in right now with numbers and data

1024
00:48:32,880 –> 00:48:35,040
Speaker 2: and everything. He was doing this, but like in two

1025
00:48:35,080 –> 00:48:38,160
Speaker 2: thousand and four, before it was really popular in the NFL,

1026
00:48:38,200 –> 00:48:40,799
Speaker 2: before a lot of teams were doing it. He was

1027
00:48:41,360 –> 00:48:43,640
Speaker 2: digging up numbers on Hey, this team on third and

1028
00:48:43,719 –> 00:48:45,880
Speaker 2: three in the fourth quarter, does this more often? And

1029
00:48:45,920 –> 00:48:49,960
Speaker 2: stuff like that and helps inform coach read on these things.

1030
00:48:50,320 –> 00:48:52,439
Speaker 2: And I was sitting next to him in the flight home,

1031
00:48:52,520 –> 00:48:54,399
Speaker 2: and I didn’t try not to bother him too much,

1032
00:48:54,400 –> 00:48:57,040
Speaker 2: but it’s like, hey, Mike, you want to talk about

1033
00:48:57,120 –> 00:49:00,799
Speaker 2: numbers and data and the chiefs. It was pretty awesome guy.

1034
00:49:00,960 –> 00:49:03,800
Speaker 1: Yeah, he’s terrific and a big part of winning here

1035
00:49:04,400 –> 00:49:06,880
Speaker 1: in the Chief Kingdom. But yeah, we love Fras and

1036
00:49:07,239 –> 00:49:09,520
Speaker 1: ahead of his time. We also love Cynthia Freelan and

1037
00:49:09,520 –> 00:49:12,800
Speaker 1: what she does and we all pay attention. Okay, next

1038
00:49:12,800 –> 00:49:15,560
Speaker 1: week now, just get ready. It’s the opening bill of

1039
00:49:15,560 –> 00:49:19,160
Speaker 1: the New York Stock Exchange. It is the frenzy in

1040
00:49:19,360 –> 00:49:25,240
Speaker 1: frantic world of free agency. It goes berserk. It literally

1041
00:49:25,360 –> 00:49:27,840
Speaker 1: the train goes off the track next week because it’s crazy.

1042
00:49:27,880 –> 00:49:31,480
Speaker 1: Stuff is happening in ten minute increments, and it’s just

1043
00:49:31,600 –> 00:49:35,800
Speaker 1: you’re just looking up at the stock market and going, wow,

1044
00:49:36,080 –> 00:49:38,960
Speaker 1: it’s going crazy, then it slows down and then there’s

1045
00:49:39,000 –> 00:49:41,680
Speaker 1: like this second period. But we’ll get you well, we’ll

1046
00:49:41,719 –> 00:49:43,200
Speaker 1: actually kind of be in the middle of it all

1047
00:49:43,239 –> 00:49:45,200
Speaker 1: the start of it next week when we post it.

1048
00:49:45,520 –> 00:49:47,879
Speaker 2: I have no doubt. We’ll shoot a podcast next week

1049
00:49:48,120 –> 00:49:51,440
Speaker 2: and we’ll talk about, you know, not a lot’s happened,

1050
00:49:51,440 –> 00:49:53,920
Speaker 2: and then we’ll sign someone as we’re about to post it,

1051
00:49:53,960 –> 00:49:55,960
Speaker 2: and we just won’t have any commentary on it in

1052
00:49:55,960 –> 00:49:57,279
Speaker 2: the episode that posts, and.

1053
00:49:57,239 –> 00:49:59,719
Speaker 1: It’ll be dated within like twenty seconds. Yeah, just bear

1054
00:49:59,800 –> 00:50:02,200
Speaker 1: with That’s how it goes. Just you know, feel our

1055
00:50:02,239 –> 00:50:02,680
Speaker 1: pain here.

1056
00:50:02,760 –> 00:50:06,759
Speaker 2: Yeah, it’s not easy. A few housekeeping things. So the

1057
00:50:06,840 –> 00:50:09,600
Speaker 2: Chiefs have kind of already started. We’ve signed ten players

1058
00:50:09,600 –> 00:50:13,520
Speaker 2: to reserve future contracts, which those are for players that

1059
00:50:13,560 –> 00:50:18,040
Speaker 2: were on practice squads or whatever as the year last

1060
00:50:18,120 –> 00:50:21,319
Speaker 2: year ended, but not on an active roster, and the

1061
00:50:21,360 –> 00:50:23,600
Speaker 2: Chiefs can sign those players, many of which were on

1062
00:50:23,640 –> 00:50:26,520
Speaker 2: our own practice squad, and they can’t sign elsewhere. Even

1063
00:50:26,560 –> 00:50:30,240
Speaker 2: though they’re not like active contracts yet, not super exciting.

1064
00:50:30,280 –> 00:50:32,680
Speaker 2: Those don’t get a lot of fanfare. But for example,

1065
00:50:32,719 –> 00:50:36,279
Speaker 2: Taekwon Thornton was a reserve future contract last year. Every

1066
00:50:36,320 –> 00:50:38,200
Speaker 2: once in a while, these guys that signed these reserve

1067
00:50:38,280 –> 00:50:40,719
Speaker 2: future deals end up making an impact. So if you’re

1068
00:50:40,719 –> 00:50:43,360
Speaker 2: interested in who the Chiefs signed a reserve at future

1069
00:50:43,360 –> 00:50:45,719
Speaker 2: deals this year, it’s on Chiefs dot com or written

1070
00:50:45,719 –> 00:50:48,120
Speaker 2: an article on it. Jason Browne as one of them

1071
00:50:48,239 –> 00:50:50,800
Speaker 2: might remember him from earlier in the year. A handful

1072
00:50:50,840 –> 00:50:52,320
Speaker 2: of guys that were on the practice squad at the

1073
00:50:52,440 –> 00:50:55,440
Speaker 2: end of the season are back on reserve future deals.

1074
00:50:56,320 –> 00:51:00,600
Speaker 2: We have twenty three players slated to be unrestricted free agents. Yeah,

1075
00:51:00,640 –> 00:51:03,359
Speaker 2: some big names on that list. So in the coming

1076
00:51:03,440 –> 00:51:05,319
Speaker 2: days we’ll see if we’re able to resign some of

1077
00:51:05,360 –> 00:51:07,160
Speaker 2: these guys. Maybe a lot of them will hit the

1078
00:51:07,160 –> 00:51:09,840
Speaker 2: market and we’ll bring them back. Still, we’ll see, but

1079
00:51:10,600 –> 00:51:12,719
Speaker 2: a lot going on. Got to see which players we

1080
00:51:12,760 –> 00:51:14,839
Speaker 2: bring back and which players out there on the market

1081
00:51:14,920 –> 00:51:17,319
Speaker 2: we decide to bring in here. A lot we’ve talked

1082
00:51:17,320 –> 00:51:20,360
Speaker 2: about if the Chiefs don’t have a huge splash, that

1083
00:51:20,400 –> 00:51:22,239
Speaker 2: doesn’t mean they’re not going to do some things. And

1084
00:51:22,280 –> 00:51:25,400
Speaker 2: we’ve seen like that second weekend year in and year out,

1085
00:51:25,680 –> 00:51:28,520
Speaker 2: the Chiefs like win on that second weekend, bringing in

1086
00:51:28,560 –> 00:51:32,239
Speaker 2: players that maybe were undervalued on the market but come

1087
00:51:32,320 –> 00:51:33,480
Speaker 2: in here and make an impact.

1088
00:51:34,440 –> 00:51:36,120
Speaker 1: And the first couple of days is when you have

1089
00:51:36,200 –> 00:51:39,239
Speaker 1: to be careful because then a year later, two years later,

1090
00:51:39,280 –> 00:51:41,080
Speaker 1: you’re like, oh, man, why do we do that deal?

1091
00:51:41,560 –> 00:51:43,759
Speaker 1: And you’ve got cap problems. Cynthia kind of laid that

1092
00:51:43,760 –> 00:51:45,400
Speaker 1: out and then she goes. Then there’s like the Raiders

1093
00:51:45,400 –> 00:51:47,239
Speaker 1: who have to spend like one hundred million. They’re under

1094
00:51:47,280 –> 00:51:50,440
Speaker 1: the floor, right, so they’re going to be throwing cash

1095
00:51:50,520 –> 00:51:53,560
Speaker 1: around all over the place. The Chiefs aren’t in that position,

1096
00:51:53,600 –> 00:51:55,560
Speaker 1: and there have been moves made. You can follow those

1097
00:51:56,160 –> 00:52:00,680
Speaker 1: to get some cap relief, and so those are very

1098
00:52:00,680 –> 00:52:02,480
Speaker 1: apparent and have to be ready to go for the

1099
00:52:02,560 –> 00:52:06,120
Speaker 1: Chiefs to get into this to start the NFL year.

1100
00:52:08,080 –> 00:52:10,920
Speaker 1: But the value that you get in some of the

1101
00:52:11,360 –> 00:52:14,880
Speaker 1: later free agent signings we have seen that build winning teams.

1102
00:52:15,480 –> 00:52:18,120
Speaker 1: At the end of last year’s regular season, though it

1103
00:52:18,200 –> 00:52:21,600
Speaker 1: was on My Minute with Mitch that runs in linear

1104
00:52:21,800 –> 00:52:24,560
Speaker 1: television nine different markets, but I kind of set a

1105
00:52:24,600 –> 00:52:26,759
Speaker 1: goodbye to the class at twenty twenty two. This is

1106
00:52:26,800 –> 00:52:29,160
Speaker 1: when it’s going to hit hard. There will be some

1107
00:52:29,200 –> 00:52:31,799
Speaker 1: of that class that will still be here. It is

1108
00:52:31,840 –> 00:52:35,320
Speaker 1: such a remarkable class where there were counting free agents

1109
00:52:36,440 –> 00:52:38,399
Speaker 1: nine to ten guys that were still on the team

1110
00:52:38,440 –> 00:52:41,480
Speaker 1: four years later. This is when that line hits. It’s

1111
00:52:41,520 –> 00:52:44,120
Speaker 1: the way the NFL is. You cannot keep all those guys.

1112
00:52:44,280 –> 00:52:48,200
Speaker 1: They’ve been phenomenal. They have won two Super Bowls, they

1113
00:52:48,760 –> 00:52:52,359
Speaker 1: went to another. And the fact that we can’t keep

1114
00:52:52,400 –> 00:52:54,360
Speaker 1: all those guys you were talking about. The list of

1115
00:52:54,440 –> 00:52:59,360
Speaker 1: guys that’s in that two dozen will become free agents

1116
00:52:59,400 –> 00:53:01,759
Speaker 1: at the start of the year, a lot of twenty

1117
00:53:01,840 –> 00:53:04,600
Speaker 1: twenty two on it, and it’ll be sad to see

1118
00:53:04,600 –> 00:53:05,200
Speaker 1: some of them go.

1119
00:53:05,600 –> 00:53:08,640
Speaker 2: I’m feeling old right now because I remember it feeling

1120
00:53:08,719 –> 00:53:12,080
Speaker 2: like yesterday. We did the base ten episode. Remember that

1121
00:53:12,600 –> 00:53:15,960
Speaker 2: we did a huge episode the Sunday after the draft

1122
00:53:15,960 –> 00:53:19,080
Speaker 2: in twenty twenty two on those ten players that we got,

1123
00:53:19,680 –> 00:53:23,200
Speaker 2: and we were talking all about the opportunity ahead of us, Like, man,

1124
00:53:23,239 –> 00:53:27,040
Speaker 2: this class could be a difference maker. This could be

1125
00:53:27,080 –> 00:53:30,719
Speaker 2: a class that’s transformative, that keeps this run going. And

1126
00:53:30,760 –> 00:53:33,920
Speaker 2: looking back on it, we had more success after that

1127
00:53:33,960 –> 00:53:36,719
Speaker 2: class than we had before it. Like I had no

1128
00:53:36,800 –> 00:53:39,560
Speaker 2: idea the kind of success that that class could help

1129
00:53:39,600 –> 00:53:42,799
Speaker 2: us achieve. And man, to think that was four years

1130
00:53:42,840 –> 00:53:46,960
Speaker 2: ago and all the wins and the moments, the playoff

1131
00:53:47,520 –> 00:53:51,840
Speaker 2: triumphs in the time sense is pretty remarkable. Hard to

1132
00:53:51,840 –> 00:53:55,520
Speaker 2: find a class like that, but going into this draft,

1133
00:53:55,680 –> 00:53:57,560
Speaker 2: that’s kind of, in my mind, the standard, right, we

1134
00:53:57,600 –> 00:54:00,799
Speaker 2: got to find a draft class like that, and the

1135
00:54:00,800 –> 00:54:03,399
Speaker 2: class of ten twenty two was pretty special. I hope

1136
00:54:03,400 –> 00:54:05,880
Speaker 2: we can keep some of those guys, but no matter what,

1137
00:54:05,960 –> 00:54:06,960
Speaker 2: wish them all the best.

1138
00:54:06,920 –> 00:54:10,080
Speaker 1: And Lord willing, we’ll see those guys at reunions and

1139
00:54:10,120 –> 00:54:12,279
Speaker 1: give them all big hugs and remember those moments that

1140
00:54:12,360 –> 00:54:15,839
Speaker 1: you just recounted. But starting next week, we’ll also see

1141
00:54:15,840 –> 00:54:18,400
Speaker 1: some of those guys go away. And that’s just the

1142
00:54:18,400 –> 00:54:21,160
Speaker 1: way it is in the National Football League. It’s a

1143
00:54:21,200 –> 00:54:26,560
Speaker 1: way of tags, trades and practical analytics.