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How Analytics Are Changing the Game in College Football

September 16, 2025 / 01:00:12

This episode of Wharton Moneyball covers college football analytics, featuring guest Stephen Godfrey, discussions on coaching decisions, and the impact of analytics on the game.

Host Kate Massie is joined by co-hosts Eric Bradlow and Audi Winer, as they welcome Stephen Godfrey, a columnist for the Washington Post and co-host of the Yahoo Sports College Football podcast. They discuss the current college football landscape, including the evolving role of analytics in coaching decisions.

Godfrey shares insights on how coaches are increasingly embracing analytics, particularly in fourth-down decision-making. He highlights a recent game between Kansas State and Iowa State as an example of this trend.

The conversation also touches on the challenges of translating complex analytics into understandable narratives for fans and the media. Godfrey emphasizes the importance of making advanced statistics accessible to a broader audience.

In the second half of the episode, the hosts discuss upcoming college football matchups, the US Open tennis tournament, and the current state of Major League Baseball.

TL;DR

Stephen Godfrey discusses college football analytics and coaching decisions in the latest episode of Wharton Moneyball.

Episode

1:00:12
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Welcome to Wharton Moneyball. Welcome to
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a full hour of sports analytics here on
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the Wharton podcast network. This is
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Kate Massie hosting this week with most
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of the crew. We have Eric Bradow in
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here. We have Audi Winer in here. Our
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fourth co-host Shane Jensen is out and
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about doing Shane Jensen things. He'll
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be back. Some combination of us are here
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almost every week of the year and have
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been for going on what is it 11 and a
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half years now. Well over 10 years now.
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This is a time of year where everything
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we love is going on. We've got baseball
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warming up. We've got pro football
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kicking off and we've got college
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football off the ground. Things have
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happened. There are things to talk
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about, real football to talk about, real
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things to react to. We're going to
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follow our typical format this week.
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We're going to have a guest in here for
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the first half hour and then open up
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open open topics for the second half
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hour. our guest. Well, it's college
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football time, so one of our regular
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college football guests and one of our
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favorite all-time guests, Stephen
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Godfrey, is here. Stephen's been gracing
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us for years now. Stephen is the co-host
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of the FA Phantom Island podcast. He is
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co-host of Yahoo Sports College football
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podcast called The Inquirer, I believe,
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along with Andy Staples and Ross Dinger.
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And he's a columnist at the Washington
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Post. Stephen has been at the center of
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college football dialogue for a long
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time now and it's always fun to talk to
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him. Stephen, thanks for making time for
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us, man. Appreciate it.
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>> Thanks for having me, guys. I'm very
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excited to um add nothing to
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mathematical conversation whatsoever.
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>> Well, I feel like you've always indulged
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us. Well, you've
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>> I feel like I make that joke every time
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I come on.
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>> Well, somehow you keep coming back,
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though. We appreciate that. I think not
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all journalists are interested in
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talking with a bunch of data data geeks.
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>> Oh, no. Oh, I mean that's kind of how I
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got my podcasting start with Bill
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Connelly. So, I mean I Yeah, I'm used to
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it. It's a little bit like interpreting
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one of your friends at a dinner party to
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a to another friend who doesn't work in
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that field.
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>> That's kind of what journalism should
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be. If if we want to get if we want to
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get a little existential for a second to
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take trying to translate someone's
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expertise into layman terms for other
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people to absorb it. That's basically
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all
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>> that's great.
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>> Yeah. It's just it's it's divisive
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communication. That's all. I can I let
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me just jump in there Stephen for a
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second because you know um you know for
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20 years I've been running various forms
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of centers here at Wharton on analytics
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and AI and machine learning and I agree
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with you one of the biggest challenges
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we have what we have a shortage of in my
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view tremendously in the business world
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etc is people that can do that
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translation so I cannot just I cannot
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agree with you more it's the hardest
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thing I can tell me as an academic maybe
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K naughty feel differently is
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translating the work that I do which can
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be technical
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but to a very broad audience and and not
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but not to a level that doesn't mean
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it's meaningful. It's really hard. So I
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can just tell you for myself as part of
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Wharton Moneyball, we're appreciative of
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the work you do.
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>> No, I love coming on. This is and
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usually we we end up in a dialogue
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that's a lot further along than than the
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typical sort of sports radio tropes, if
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you will. So, but we can do those too if
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you want. I mean, we can talk about
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Texas.
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>> You know that I'm going to want to. Um
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it does strike me though at the risk of
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propping you up too much. it.
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>> No, no, not not that.
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>> Well, hold on. No, I'm I want to do
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that, but first I want to say one other
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thing. Um, it's possible that your
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conversations, your podcast with Connley
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helped advance the whole analytics
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conversation. I mean, Bill's on, you
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know, Bill's in the center of things
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now. Everybody refers to his work now.
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And you and him, you were like, you were
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like proof of concept that he could have
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a meaningful college football
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conversation with a regular football
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guy. And it was it was a wonderful
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podcast. But I bet it I bet it did make
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a difference, Stephen. I bet that was a
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contribution to the whole analytics
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movement in the last whatever 10 or 12
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years.
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>> Yeah. But no, Bill and I kind of tapped
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into something which is that a lot of
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people want to learn more about the
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sport. A lot of people have, let's call
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it, groundbreaking data or things that
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they've worked on. And so if you can
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just work on translating that, what we
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found, and Bill Connley is now at ESPN,
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by the way, and he's great at what he
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does. uh when he first developed what he
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used to call the S&P plus metric system,
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now it's the SP plus metric system. He
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um I think he had a hard time getting in
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the door with coaches, with media, with
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people to understand its intrinsic
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value. But if you sit down and you
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really kind of walk it out in layman's
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terms, I think there are very I think if
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anybody's listening who's a quant or you
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know I don't know if that's a I don't
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know if that's a pjorative or not.
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That's what we call them in the media.
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That's what we call pull ourselves. We
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call ourselves that.
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>> Okay. In the sports media world, we just
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say, "Hey, you know, ask a quant."
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I there's a there's a it's all about the
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translation. Like I I think people do
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really want for what advanced statistics
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and advanced analytics can provide. I
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think it's just sometimes it get you
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lose the forest for the trees a little
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bit. I do think we and maybe maybe y'all
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can provide anecdotes that push back on
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this, but in my corner of the world, it
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seems like we've crossed some sort of
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Rubicon where you don't have the
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traditional redneck football coach
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pushing back the way that we used to or
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just saying, "Hey, that's a bunch of
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nonsense." If anything, I think, you
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know, well, first off, I think the
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median age of decision-making coaches,
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be it coordinator or head coach, just
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decision makers in general, is going
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down. I think they're embracing outside
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thought. And I think I think being
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counterintuitive has provided really,
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you know, good results for a lot of
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them. So I don't think there's this
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hesitancy, you know, just to go to some
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of these coaching conventions and and a
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lot of those guys have rolled their eyes
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in the past. I think they're I think
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they're most of them are embracing it.
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There are still a few communions amongst
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us, but I think that's helped a lot. I
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think fans have responded in kind as
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well.
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>> Is the embrace a result of proven
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success? And if that's and because
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that's usually how would happen like in
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baseball
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>> teams were doing it were winning and you
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just couldn't ignore it anymore. Um but
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there was a couple of principles that
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just people just changed their minds on
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and the and now they're embracing it in
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football. Is there any it's is there
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anything you could point to? Would it be
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fourth down decision-m or
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>> Yeah, that's the first place I'd go
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actually is is I'll give you a great
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example. Week zero was uh Kansas State
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and Iowa State in Ireland, the the sort
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of like faux kickoff game or what have
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you. Fairly traditional offenses, which
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is a big broad term to use, but a fairly
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traditional offense on both sides of the
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law, especially with M. Campbell. Pretty
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conservative, almost sort of like
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redundant in his decision-m with his
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offense, right? There was a lot of
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fourth down,
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I guess, like adventurous decision-
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making you could call it. There was a
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lot of we're going to go for it in
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certain situations that
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The thing that struck me was that it no
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one talked about it. Five years ago, we
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there would have been two or three think
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pieces going into week one about did you
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can you believe that Matt Campbell did
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this? Can you believe he absorbed this
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amount of risk? I think it's become
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common place in the industry even
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amongst coaches who are again not really
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who don't really embrace what y'all do
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to be more aggressive on fourth down
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because the numbers have susted it out.
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I I I think they believe in the numbers.
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That's probably the best example that I
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can think of off the top of my head.
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There's some there are some other ones
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definitely,
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>> but are they the are they the easy cases
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or are they generally moved on to the
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hard ones? So the easy cases are the
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fourth and ones in the red zone that
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used to be field goals and now they're
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going for it almost exclusively. But
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maybe the harder cases are those still
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are those would those uh raise some
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eyebrows if you decided for example it's
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fourth and one in your own territory 35
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yard line.
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>> Sure. that's and the and the and the
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right play is to go for it. Would that
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be something that they would embrace or
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they still saying no way?
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>> Uh maybe some of the triple option teams
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like you know fourth and one they might
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feel good about it. But um you know what
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one of the things one of the things that
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has spurred along let's call it
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adventurous decision- making in fourth
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down is that the average IQ of the fan
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has increased. I'm not taking credit for
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that with PAPN or anything else, but we
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brought quant we brought quant in and we
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said, hey, this is why or hey, you know,
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once you're once you're across the
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opponent's 45, you need to go for it all
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the time. Remember, Iowa was really
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popular for a long time, guys. That Iowa
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philosophy of like, you know, they're
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punting on the opponent's 19. I feel
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like, you know, up until a couple years
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ago, and that was like how we that
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that's, you know, that conservatism
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ruled college football. I think there's
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outside pressure on some of these
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coaches throughout a very long offseason
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to ask those questions and say, "Hey,
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you know, up on hey guys, on the TV,
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some booster is going to go up to that
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head coach and say, hey, on the TV it
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said you guys had x amount of
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probability of a success rate on going
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for it on fourth down. Why didn't you?"
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So, I think that because advanced
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analytics has risen to the level it has,
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I think that coaches have to account for
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when the math says to do something and
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they choose against it. There needs to
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be a concrete example of why they didn't
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do it. Was it a personnel issue? Was
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there an injury? What was going on?
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>> So, Stephen, let me ask you just a quick
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question. It's also relates to how do
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you decide what to translate? And what I
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mean by that is let's take this week in
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college football. Obviously, there was,
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you know, Ohio State beating Texas, but
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you know, it's not like on a surprising
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factor. It's not like that's that
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surprising. You had maybe um Alabama
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losing, right? That's probably a little
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higher on the surprising factor. You
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could argue USF blowing out Boise State.
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I don't know, maybe that's a little
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surprising, but who cares kind of thing,
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>> right?
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>> How do you think about the intersection
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of surprising and interesting to your
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readers and and and to when you pick
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even like games to comment on or talk
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about? So, I'm I'm only I I can't ever
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exceed the limits of narrative
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structure, which is a fancy way of
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saying I have to keep a casual attention
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span engaged. I have to find a primary
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concept and then I have to find
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supporting information. Now, the better
00:10:03
the supporting information, which I've
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often found in advanced analytics, the
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stronger my argument can be. So, I'm
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going to give you a really specific
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example of how I used it this weekend.
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Sorry, uh apologies in advance. I'm
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going to talk about Texas, but I called
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up a friend of mine, Parker Fleming. Um,
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his he's a stats of war on social media.
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Parker um has is an uh industry analyst.
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He works as a consultant and adviser to
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a lot of different football teams. So,
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Parker's a friend of mine and after the
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Texas game, I'm going to back up since
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we're talking to we're talking to
00:10:36
Wharton, we're talking to some Philly,
00:10:37
right? There is an Eagles playoff game.
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So, I'm a lifelong Atlanta Falcons fan,
00:10:41
which might be cause for you guys to, I
00:10:44
don't know, call in some sort of like
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social services on me, but I'm a
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lifelong Atlanta Falcons fan. There's an
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Eagles Falcons playoff game in 2017 that
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ends in an truly bizarre play call by
00:10:56
Sarkc, and I trust me, I'm going
00:10:57
somewhere with this. Sarkc was the
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offensive coordinator of the Atlanta
00:11:00
Falcons before he went back to the
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college ranks and even went back to
00:11:02
Alabama. Um Malcolm Jenkins, the the
00:11:06
Eagle safety at the time said, "We knew
00:11:07
exactly what they were going to do as
00:11:09
soon as they broke the huddle and they
00:11:11
put three allproce on one side of the
00:11:13
field and a fullback lined up in the
00:11:14
flat on them." Is is one of the most
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confounding plays. This is goal to go
00:11:18
fourth and goal with the game on the
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line. Okay, flash forward to last year.
00:11:23
Actually, flash forward to two years
00:11:24
ago, the Texas Washington playoff game.
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And remember how that game ends on
00:11:27
offense. Okay, now flash forward to last
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year's playoff game, which is that
00:11:32
really sort of bizarre series of play
00:11:34
calls at the goal line against Ohio
00:11:36
State for Texas. Now, Caleb Downs did
00:11:39
Caleb down things. There are exceptional
00:11:41
physical feats that break math, right?
00:11:43
That you can't account for the
00:11:45
probability of something happening.
00:11:46
However, Sark's decisionmaking,
00:11:50
absolutely mind-blowing in that
00:11:51
situation. So, we saw a little bit of
00:11:54
that again on Saturday. Now, a lot of it
00:11:57
was just they're in a goal to go
00:11:58
situation. They're going to push push.
00:12:00
They can't get there. But there was that
00:12:01
sort of spectre of Sarkc's inability to
00:12:04
call red zone plays in big moments. So,
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how do I go from it's a thing we all
00:12:10
feel to actually laying out a narrative
00:12:13
structure for someone to absorb? How do
00:12:15
I take it out of the realm of opinion?
00:12:16
So, I asked Parker specifically after
00:12:18
the game at was it 3:30 on Saturday,
00:12:22
Central time? I said, "Is there any kind
00:12:24
of stat? is there any kind of number
00:12:25
that backs up the sort of LOL shark red
00:12:28
zone meme that we've all been kind of
00:12:29
picking at on social media for last
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years. So he comes back about 20 minutes
00:12:33
later and he says yes decisively and he
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pulls up this thing called quality drive
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rate. Quality drive rate it used to be
00:12:40
called echle apparently in y'all's world
00:12:42
but basically all it really means is
00:12:45
that a quality drive is a drive in which
00:12:48
you have one first down inside the
00:12:49
opponent's 40. And that right there, I
00:12:52
can tell anybody that. I can explain
00:12:54
that on talk radio. I can explain that
00:12:56
at a dinner party. You have one first
00:12:59
down inside the opponent's 40. That's a
00:13:00
quality drive. Okay. Then he gives me a
00:13:03
second stat, which is points per quality
00:13:05
drive. Again, I've still got your
00:13:07
attention. You're the most casual person
00:13:08
in the world. It doesn't matter what
00:13:10
your education level or affinity for
00:13:11
math is. You understand on that quality
00:13:13
drive, did you get points out of it? And
00:13:15
so what we found was that in 2023, that
00:13:18
year they lost to Washington in the
00:13:20
playoffs, they were sixth in the country
00:13:22
in quality uh drive rate. That means
00:13:24
that they were one of the best offenses
00:13:25
in the country. They were 107th in
00:13:28
points per quality drive. That's it. And
00:13:31
that's all. Those numbers suddenly
00:13:33
become very simple and and comstable for
00:13:36
any sports fan to understand. Hey, Stark
00:13:39
is hell on wheel between the 20. He
00:13:42
commands one of the most talented
00:13:44
offenses and he's very creative. But
00:13:46
there is a discernable problem here when
00:13:48
he gets to the red zone. And when I took
00:13:50
that stat and I took it to the Yahoo
00:13:52
show the following day, what we can then
00:13:54
bridge that into is non-traditional
00:13:57
football or more traditional football
00:13:58
talk where Andy Staples or someone else
00:14:00
could say, "Hey, the field shrinks
00:14:02
inside the red zone. They've got this
00:14:03
personnel issue. Maybe they don't have
00:14:05
short yardage. Maybe they're not getting
00:14:07
enough push and doing traditional run
00:14:08
plays." So I just took all the advanced
00:14:10
analytics like I I could not have
00:14:13
provided you quality drive rate from a
00:14:15
mathematics standpoint. But what I did
00:14:17
was I took Parker's work and I turned it
00:14:20
into a single conversation piece. And
00:14:22
now people can go from, hey, I kind of
00:14:24
think Sarkc sucks inside the 20 to math
00:14:27
says you suck inside the 20. And math
00:14:30
tends to not be argued with except in
00:14:32
American politics.
00:14:34
>> Terrific example. Just last week we had
00:14:36
Ralph Russo on and we asked Ralph where
00:14:38
his kind of quant curiosity came from
00:14:42
and he explained that he was first a
00:14:44
baseball fan and he got a kick out of
00:14:46
Bill James. Bill was a phenomenal is a
00:14:49
phenomenal innovator but one of the
00:14:50
things he's probably best at is
00:14:53
simplifying his insights providing real
00:14:55
just
00:14:56
>> direct ways into the bottom line not
00:14:59
this fancy stuff
00:15:00
>> and that's a it's a bit of what you're
00:15:02
talking about there. We love Parker.
00:15:03
We've had Parker on the show. We follow
00:15:05
Parker. But that's a that is a great if
00:15:07
painful it's a painful distillation. You
00:15:09
>> it is
00:15:10
>> some more they raises a different
00:15:12
question for me and that is
00:15:14
>> okay.
00:15:14
>> How often do we see coaches address
00:15:17
their weak spots? I mean it takes so
00:15:19
many different things to be a major
00:15:21
football coach either NFL or NCAA.
00:15:24
So many different. No one's going to be
00:15:26
good at all of them. And so the ones
00:15:27
that last are the ones who somehow
00:15:29
buttress and fill in and complement
00:15:31
their weaknesses.
00:15:33
How often do we see that happen? And I
00:15:35
mean, Sarc has shown a fair bit of
00:15:37
humility. He's been through some
00:15:38
challenging things in life. He does a
00:15:40
lot really well. This seems to be a
00:15:42
weakness of his. How often do we see a
00:15:43
coach willing to address that kind of
00:15:45
weakness?
00:15:46
>> This is what I love about analytics is
00:15:48
that it takes it it essentially divorces
00:15:51
the ego that there there really it takes
00:15:54
away the personality trait. It takes
00:15:55
away the ego. It takes away the
00:15:57
humanity, which is sometimes considered
00:15:58
to be a slight against mathematics. But
00:16:00
in this case, I think my answer is how
00:16:03
close is the adjustment to your
00:16:05
identity?
00:16:07
If you have defensive gaps, NFL,
00:16:10
college, whatever, but you're an
00:16:12
offensive pedigreed head coach, you came
00:16:13
up as an offensive coordinator, you will
00:16:15
correct very quickly and it will involve
00:16:18
firing someone, right? And you'll
00:16:19
replace them and you will corrected for
00:16:21
that. But what I'm talking about with
00:16:23
Sarge specifically, and this isn't a
00:16:26
personal attack, this is just something
00:16:27
again I know I I first noticed this as a
00:16:29
fan. And then and when he got back to
00:16:31
college and really when he got to Texas
00:16:33
and they once they got up to speed and
00:16:35
personnel,
00:16:37
this this tendency reemerged.
00:16:40
But how in the world if you are if
00:16:42
you're Steve Sarkeesian and your
00:16:44
pedigree is play calling specifically to
00:16:46
come out of that Pete Carol tree of
00:16:47
offensive coordinators and then what I'm
00:16:50
talking about is red zone red zone play
00:16:52
calling. I'm talking about something
00:16:53
that's fundamental to your success. Your
00:16:56
adjustment is going to be a lot more
00:16:59
impactful on how you define yourself and
00:17:01
your quality your your worth right as
00:17:04
the executive and the leader of the
00:17:05
program. So, I think it has to do with
00:17:07
how close is it to your identity.
00:17:09
T
00:17:10
>> terrific answer. Another terrific answer
00:17:11
and another depressing answer. Thank you
00:17:13
very much, Stephen. Really appreciate
00:17:14
your contribution.
00:17:15
>> That's what I try. That's what I try to
00:17:16
do.
00:17:18
>> Okay. So, I'm gonna have to ask you a
00:17:19
couple other questions. Um, one just
00:17:22
while we're on Texas, I was in Columbus,
00:17:24
my first time to Columbus, and I'm still
00:17:26
kind of grappling with how to explain
00:17:28
how to even think about the the fan
00:17:30
experience up there. They were finely
00:17:34
behaved. Of course, they won it. It was
00:17:35
a day game, so it's kind of best case.
00:17:37
And I think they're better than they
00:17:38
were 20 years ago. But it was intense.
00:17:41
And it was almost a professionalized
00:17:44
college crowd in some way. And as soon
00:17:47
as the ball was kicked, they went from
00:17:49
being hospitable normal Midwesterns to
00:17:51
being zombies. I mean, it was a really
00:17:54
it was a really interesting experience.
00:17:56
It was there was a professional quality
00:17:58
to it. And I but I say one of the reason
00:18:00
I'm asking you Stephen is because I
00:18:01
haven't I've been to I've been to Kyle
00:18:03
Field against&M against Texas. I've been
00:18:05
to Texas OU many times. I've been in
00:18:07
intense college games but I've not been
00:18:09
to Tuscaloosa. I've not been to Baton
00:18:11
Rouge. And so I don't know what those
00:18:13
things are like. But Ohio I was in
00:18:15
Michigan last year. Those Michigan guys
00:18:17
were so laidback compared to Ohio State.
00:18:20
They both came off national
00:18:21
championships. It just feels like it's
00:18:24
there's a level of intensity one step up
00:18:26
from from what I might have expected.
00:18:28
I'm curious whether that resonates with
00:18:30
anything you know or have experience.
00:18:32
>> Sure. I think I mean I I I think there's
00:18:34
a way to put math to that to be honest.
00:18:36
I think it's a combination of economics,
00:18:38
sociology, and maybe a dash of religion
00:18:42
to be honest because what you're
00:18:43
describing, you just gave me a very
00:18:45
weird cross-section of America, but let
00:18:47
me try and do this really fast. Well,
00:18:49
one, the average Michigan degree holder
00:18:51
and ticket holder inside that building
00:18:53
is probably going to come from a higher
00:18:54
tax bracket, a higher level of
00:18:56
education. What that usually means is um
00:18:59
I learned this from being raised by law
00:19:01
enforcement. Their propensity for
00:19:04
causing an incident is going to be
00:19:05
significantly lower because they have
00:19:07
more to lose. Right? Okay. Ohio State is
00:19:10
much more uh workmanlike blue collar,
00:19:14
right? So you're going to have more
00:19:15
sidewalk alumni as we call them. You
00:19:18
might see that in Alabama. You might see
00:19:19
that in Louisiana State. Also, you're
00:19:21
attending games
00:19:23
that are not traditional rivalries.
00:19:26
Okay. So, what you're what you're
00:19:28
looking what you're experiencing is
00:19:30
almost more of a a curiosity, a meeting.
00:19:33
There is a little bit of formality to
00:19:35
it, right? There's a little bit of like
00:19:36
uh yes,
00:19:37
>> how do I describe it? It's like you're
00:19:39
kind of putting on it's like meeting a
00:19:40
meeting a significant other's parents
00:19:42
for the first time to a degree until the
00:19:44
game starts, right? Because you said
00:19:45
everyone was very hospitable. I
00:19:46
guarantee you they're not hospitable
00:19:48
when they're playing Michigan or Penn
00:19:49
State or M, you know, Michigan State or
00:19:51
something like that. So, when you get to
00:19:53
the South, I I would say that that's
00:19:54
even more pronounced.
00:19:56
Because southerners have a possess and I
00:20:00
wouldn't include Texas in this.
00:20:01
Southerners, southeasterners
00:20:04
possess another economic disadvantage. I
00:20:07
think their identity is polarized to the
00:20:09
rest of the United States. And this one
00:20:11
sport is wrapped up in in sort of their
00:20:14
brand and who they are.
00:20:16
>> They want to represent extremely well to
00:20:18
outsiders until kickoff.
00:20:20
Okay. But again, I think you can trace
00:20:23
all this from from social migration to
00:20:26
to demographics, the individual states.
00:20:28
One of the most some of the most
00:20:30
hospitable environments in college
00:20:31
football are in the poorest places of
00:20:33
the United States.
00:20:35
>> So, you know, solve for that.
00:20:37
>> Terrifically interesting. One of the
00:20:38
benefits of being in the SEC now as a
00:20:40
Texas fan is that there are all these
00:20:42
road trips possible that that used to
00:20:44
not really be. And one of the advantages
00:20:46
of being a little bit older is that you
00:20:48
take the game a little bit less
00:20:49
seriously and you take the experience a
00:20:51
little bit more seriously and um there's
00:20:54
going to be some future trips that will
00:20:55
involve more sociological observations.
00:20:58
All right, Stephen. Uh week one,
00:21:00
>> give us something that you think you did
00:21:02
learn from week one and then give us
00:21:04
something you think is gonna that people
00:21:06
think they've learned right now that you
00:21:08
think by the end of the season will be
00:21:09
wrong.
00:21:10
>> Some truth and some false truth out of
00:21:13
week one.
00:21:14
I thought the the archery action was
00:21:17
ridiculous. Uh this this idea that he
00:21:19
has been overhyped. I think if anything,
00:21:22
I don't know if this has been said
00:21:23
enough, but his camp was very aggressive
00:21:25
in their control as they were with Eli.
00:21:27
I'm the same age as Eli and we were at
00:21:29
Miss at the same time together. So I
00:21:31
remember I you know we had we had the
00:21:33
same social circles.
00:21:35
The Manning family's always been
00:21:36
extremely tactical in how they manage
00:21:41
I say boys those those men as they go
00:21:43
through that process. I think if
00:21:45
anything it's just the media machine and
00:21:47
we kind of build storylines but also
00:21:48
Texas was ranked what number one number
00:21:51
two depending on the poll. I mean he was
00:21:53
going to be the recipient of some hype.
00:21:54
I I think that's been received poorly
00:21:57
because he had a very mediocre game. I
00:22:00
also think it's a very much a work in
00:22:01
progress. We probably should have paid a
00:22:03
Patricia did a very nice job. I think
00:22:05
also they have replaced very well using
00:22:07
the portal and they probably were a
00:22:09
little bit more f further along in
00:22:12
schematic adaption for week one with
00:22:14
that amount of new personnel than we
00:22:16
give them credit for. Um, one trend I'm
00:22:19
noticing and it it's borne out by the
00:22:22
amount of high-profile programs starting
00:22:24
inexperienced quarterbacks. Like I could
00:22:26
rattle them off, but you know, we just
00:22:28
we talked about Ohio State, we talked
00:22:29
about Texas, we talked about Notre Dame.
00:22:31
um you know all through the weekend
00:22:34
really with the exception of LSU Clemson
00:22:36
you didn't have a good you didn't have
00:22:37
experienced quarterback versus
00:22:38
experienced quarterback in the marquee
00:22:40
game. So one of the things I've noticed
00:22:42
is we're seeing a resurgence in
00:22:44
defensive line play when the front seven
00:22:46
looked lethal this weekend. Now some of
00:22:49
that is just the way that it shakes out
00:22:51
this year is that we have a sort of what
00:22:54
feels like a a perpetual pipeline of
00:22:56
defensive talent but we saw much more
00:22:59
aggressive command. I thought I thought
00:23:01
LSU and Clemson especially seemed it was
00:23:04
a little bit of a throwback where we're
00:23:06
blitzing more. We're we're doing exotic
00:23:08
pressure. We're we're moving guys
00:23:10
around. And I think this might be a
00:23:13
broad generalization after week one. I
00:23:15
think the sport schematically has
00:23:17
adapted to the mobile quarterback to
00:23:19
such a degree that they're now
00:23:21
comfortable again flushing them. You
00:23:22
know, that used to be that that was the
00:23:24
death nail 15 and more like 12 years ago
00:23:28
with Manzel, right? with Cam Newton with
00:23:31
what the offenses that were being called
00:23:33
against Sabin's Alabama. Remember middle
00:23:36
linebackers were 260 pounds 12 years
00:23:39
ago. They were big boys, right? And then
00:23:42
all of a sudden those those young agile
00:23:45
uh horizontally inclined, you know, uh
00:23:48
running quarterbacks changed all that. I
00:23:50
think we've adapted to where we're
00:23:51
almost full circle again. And now the
00:23:53
assumption is that every elite
00:23:54
quarterback within reason is going to
00:23:56
have mobility except maybe Carson Beck.
00:23:59
But you are going to still be able to
00:24:02
apply pressure if you can do it in
00:24:04
creative ways. I thought some of the
00:24:05
blitz some of the blitzes I saw called
00:24:07
this weekend sending pressure from weird
00:24:09
gaps, weird places, delays, spies. Uh I
00:24:13
was really impressed by a lot of the
00:24:14
defense I saw. Is that a trend? No. I
00:24:17
think we saw some young quarterbacks,
00:24:18
but I do think the way we're calling
00:24:20
defenses has finally adapted to where
00:24:22
they're comfortable blitzing mobile
00:24:24
quarterback.
00:24:25
>> Got it. Got it. Very interesting. All
00:24:27
right. If which of the three big winners
00:24:30
um we I suppose we could even include
00:24:34
Miami. Let's include Miami. Which of the
00:24:36
four big winners this weekend do you
00:24:38
most believe in?
00:24:40
>> Oh, talk. Let's let's set aside Florida
00:24:42
State. Call them three big winners. So
00:24:44
LSU, Ohio State, and Miami. LSU, Ohio
00:24:47
State, Miami. Who do you most believe in
00:24:49
coming out of?
00:24:50
>> Probably Ohio State has the steadiest
00:24:53
hand.
00:24:55
I think LSU has the highest upside.
00:24:58
because um I another trend I've seen is
00:25:01
that we we see the established program
00:25:04
higher than new DC
00:25:06
disappoints for one year and then when
00:25:08
the personnel actually adjust to what he
00:25:10
wants to call so Blake Baker at LSU I
00:25:13
think you're going to see this with USC
00:25:14
in a couple weeks if you want something
00:25:15
to watch for Deant and Lynn coming over
00:25:17
from UCLA didn't register the way that
00:25:19
people thought it would last year but
00:25:21
it's a personnel deficiency they're
00:25:23
actually not even with the portal
00:25:25
they're not being they're not able to to
00:25:27
to overhaul and renovate as fast as
00:25:29
people are assuming. Uh LSU under Blake
00:25:31
Baker looked completely revitalized. The
00:25:34
the way to tell is Harold Perkins like
00:25:37
he was utilized effectively and he and
00:25:39
you really couldn't say that at all last
00:25:40
year.
00:25:42
>> Stephen, is there any chance maybe a
00:25:43
followup is there any chance the
00:25:45
national champion doesn't come out of
00:25:47
the whatever the SEC or the Big 10? I
00:25:49
mean, I know there's a chance, but I
00:25:51
mean it's not that you just said LSU.
00:25:54
You're obviously happy about OS, Ohio
00:25:56
State, you know. I don't know. What do
00:25:58
you think?
00:25:59
>> Clemson and Miami. Cleans Miami are your
00:26:01
two. If if you're looking for a non- big
00:26:03
two, it's Clemson and Miami. Um if if
00:26:05
I'm throwing dark horses out there, I
00:26:07
would not want to go to Ames Iowa in the
00:26:09
first round. Like I think Iowa State
00:26:11
looks really good. Really good. Now, I
00:26:14
say that before they play Iowa, which
00:26:16
has always been sort of a trap for them,
00:26:17
but um if I had to pick, it would be
00:26:20
those two. and those two. It's because
00:26:22
Clemson finally woke up and joined the
00:26:23
modern era. And you know, you want to
00:26:27
talk about dogma and ideology getting in
00:26:28
the way of numbers.
00:26:30
That's Davos Sweeney. Like
00:26:33
talk about laughing at math. I mean,
00:26:35
that guy, my god, he he he looked fact
00:26:37
in the face and and basically almost
00:26:39
walked away from the game because he was
00:26:41
so resistant to adapt to the personnel
00:26:43
changes and NIL and all that stuff. They
00:26:45
have figured that out in a big way.
00:26:47
Miami. Well,
00:26:49
>> no. Or Oregon. No. No.
00:26:51
>> No. I mean, well, I love Oregon.
00:26:53
Oregon's I picked them to win the
00:26:55
national title, but I mean, they're a
00:26:56
Big 10 team, so
00:26:57
>> don't Yeah. Don't forget Don't forget
00:26:59
they're a Big 10 team.
00:27:00
>> That happened. All right. Whatever.
00:27:02
>> Steen. Yeah. Talking about Clemson one.
00:27:06
It still seems like they could fall off
00:27:09
this year. They haven't proven it yet.
00:27:10
They came in high expectation, but uh
00:27:13
unclear. And when you name those two
00:27:15
teams, I start thinking about
00:27:16
quarterbacks. Beck versus Clutnick. It's
00:27:18
just one week, but man, Beck looked a
00:27:21
lot stronger than Koopnik week one. And
00:27:24
the quarterbacks can make such a big
00:27:25
difference. It would be it would be
00:27:27
fascinating if Miami ends up actually
00:27:28
that much stronger because not not least
00:27:31
because of the quarterback differences.
00:27:33
>> Yeah. Just remember though, that's Mario
00:27:35
Crystal Ball and you want to talk about
00:27:36
analytics and what the numbers tell you.
00:27:38
>> Undoubtedly. Undoubtedly. All right,
00:27:40
last question. We got to get you out of
00:27:41
here. Um, this is a bigger topic for
00:27:43
another conversation, but I thought
00:27:44
about it all summer with the world
00:27:46
changing around NIL. You are, one of the
00:27:49
things you're well known for is your
00:27:50
Bagman article from way back in the day
00:27:52
before it was legal to pay these kids.
00:27:54
There were plenty of schools paying
00:27:56
these kids and you documented in high
00:27:57
journalistic fashion. Um, what's your
00:28:00
opinion? And we've only got a minute
00:28:01
here. It's a longer conversation, but
00:28:03
where where do you think we settle
00:28:05
there? There was this attempt this year
00:28:07
to tighten things down. Let's put a
00:28:09
budget on things. that's not let's let's
00:28:12
make them meet certain criteria before
00:28:14
we approve payments. And there are some
00:28:16
schools that are betting that that's not
00:28:17
going to stick. What is the god-free
00:28:19
opinion on what's equilibrium for the
00:28:22
NCAA in the next few years? Is there
00:28:24
one?
00:28:24
>> Yeah, water water rises to meetups level
00:28:27
and I don't think we're there yet. Um,
00:28:28
but I do think that the
00:28:32
there's going to be a lot of
00:28:32
grandstanding from the political side of
00:28:34
this spectrum to try and act like
00:28:36
they're going to intercede and create
00:28:38
some sort of solution to protect the
00:28:40
sanctity of the sport. That's that's
00:28:41
just as much nonsense and lip service
00:28:44
and pablum as it ever has been. But
00:28:47
I also don't see a a fundamental shift
00:28:50
in the powers, the halves and the have
00:28:52
nots or anything like that. Uh, the
00:28:54
bottom line is that if you can fund one
00:28:55
of these programs, you will. and the
00:28:58
large programs that succeeded before
00:28:59
this change occurred, they're still
00:29:01
going to be successful afterwards as
00:29:03
long as they fund it. I think there's a
00:29:04
couple examples. We talked about
00:29:06
Clemson. They resisted and then they
00:29:08
adjusted. Look at Texas Tech, right?
00:29:11
Look at that. That's a money base that
00:29:13
is responding to the change. You'll have
00:29:16
a couple outliers come in and upset the
00:29:18
order, but this sport is really this
00:29:21
sport punishes usurpers.
00:29:24
they they they they they tend to they
00:29:26
tend to absorb trends into the into the
00:29:30
power uh those with power and so I don't
00:29:33
think a lot is going to change. It's
00:29:35
good that the kids are getting some
00:29:36
money now.
00:29:38
>> Yeah, for sure. For sure. Okay, Stephen,
00:29:42
hope to talk with you more about that
00:29:43
down the road. Thank you for making time
00:29:45
for us. Enjoy this season. It does seem
00:29:47
to be shaping up to be one of the more
00:29:49
open, interesting, unpredictable
00:29:51
seasons. We'll see if it plays out that
00:29:53
way. Thanks guys.
00:29:55
>> Absolutely. Stephen Godfrey, you can
00:29:57
follow him at the Washington Post uh at
00:30:00
Yahoo at the his new podcast and um he's
00:30:05
a co-host on the on the Yahoo Inquirer
00:30:07
podcast with Ross Dinger and Andy
00:30:10
Staples. One of the fun things for some
00:30:12
of us on that podcast is they're all
00:30:13
Southerners. So, you get this trio of
00:30:16
southern accents in there talking
00:30:17
college football. Welcome to the second
00:30:19
half of this week's show. This is Cade
00:30:22
Massie hosting with my longtime co-host,
00:30:24
friends, colleagues, collaborators, Eric
00:30:25
Bradlo and Audi Winer. Shane Jensen will
00:30:28
be back. In fact, we think he's going to
00:30:29
be back soon. Uh we're rolling into the
00:30:32
second half of the show. Open topics,
00:30:33
open lines, what we used to call open
00:30:35
lines. We're recording on Tuesday
00:30:37
afternoon. Show will go up on Wednesday.
00:30:40
Just off the phone, Stephen Godfrey
00:30:42
talking a little college football. Guys,
00:30:44
I know it looks like a sleepy week. Week
00:30:46
two, there's only one matchup of top 25
00:30:49
teams. That's Michigan going into
00:30:52
Oklahoma City, Oklahoma. Almost Oklahoma
00:30:55
City, Norman outside of Oklahoma City.
00:30:57
Five and a half point underdogs. True
00:30:59
freshman Bryce Underwood. Most lauded
00:31:01
freshman in the game. Five and a half
00:31:04
point underdogs. That's a big one. Other
00:31:06
than that, it's a little sleepy. I just
00:31:07
want to point out briefly as we
00:31:09
transition from a conversation of
00:31:10
Godfrey to the rest of the sports world.
00:31:12
There's good under the radar games.
00:31:14
Baylor at SMU. That's an Old Southwest
00:31:16
Conference game. It's also like second
00:31:18
tier Big 12 versus second tier. Possibly
00:31:20
first tier, possibly second tier Big 12
00:31:23
versus same. On the ACC, we've got Iowa,
00:31:26
Iowa State. Iowa State has made some
00:31:28
noise already this year. Iowa always
00:31:32
kind of a annoyance if not contender in
00:31:34
the Big 10. Rivalry game. KU at
00:31:37
Missouri. Another rivalry game. KU
00:31:39
looked terrific in their opening game.
00:31:43
Exciting quarterback. Going a little
00:31:44
further down, what else do we have? UCLA
00:31:47
at UNLV. Sleepy. If you're just up for
00:31:50
entertainment, UCLA was shellacked by
00:31:52
Utah game one. Could they actually lose
00:31:55
another to UNLV? So, there's lots of
00:31:57
below the radar stuff. We got
00:31:59
>> How many of these teams K do you think
00:32:00
might make it to the top 12 that you've
00:32:02
just mentioned?
00:32:04
>> Baylor and SMU for sure. Illinois, I
00:32:07
didn't mention it, going to Duke.
00:32:08
Illinois is in the mix from the Big 10.
00:32:11
Iowa State's a serious contender in the
00:32:13
Big 12. KU is a contender in the Big 12.
00:32:16
Missou's a long shot. KU Missou's a long
00:32:18
shot in SEC. Those are all and then
00:32:22
Michigan know you are both, you know,
00:32:24
off the top tier. They're probably not
00:32:26
going to make it, but either one of them
00:32:27
could shoot up and make it. So, a whole
00:32:30
mix a whole mix of those guys. It's, you
00:32:32
know, it's an appropriate question,
00:32:33
Eric. It's the benefit of the 12 team
00:32:35
playoff. Keeps a lot of teams in
00:32:36
contention. Okay, speaking of that, we
00:32:38
will come to baseball in a minute
00:32:40
because that's exactly what's going on
00:32:41
in baseball. But before we do that, Eric
00:32:43
is going out to Flushing Meadows in just
00:32:45
a few hours. He's going to take in some
00:32:47
quarterfinals. Let's touch base about
00:32:49
the US Open. Both sides of the bracket
00:32:51
are interesting, Eric. You're going to
00:32:52
see a couple of interesting matches
00:32:54
tonight. So, give us an update on the on
00:32:56
the on the US Open.
00:32:59
>> On the men's side, it's starting to
00:33:00
look, you know, even even more
00:33:02
inevitable that it'll be center versus
00:33:04
Alcarez.
00:33:05
sinners on a very easy side of the draw.
00:33:08
I mean, he won today in straight sets.
00:33:09
He has still hasn't lost a set. He's now
00:33:11
into the semi-finals.
00:33:13
He's going to play the winner of Alex
00:33:15
Demanor and Phillix O Aliasim.
00:33:20
I don't think either one of them is
00:33:21
beating Sinner. So, I think uh is
00:33:24
beating S. So, that's fortunate for him.
00:33:29
I'm sorry, beating Alcarez. Uh today's
00:33:31
match, the women's side is where all the
00:33:33
excitement is. I mean, Jess Pagula just
00:33:35
made it to the semi-finals, beat
00:33:37
Kitechova earlier today, but you know, I
00:33:40
I didn't post it, but I could have
00:33:42
posted it at our on our ex account at W
00:33:44
Moneyball. All eight women, I think, had
00:33:47
a chance, and seven out of the eight
00:33:49
remaining women have all won a major
00:33:51
title.
00:33:52
>> Gez. Wow.
00:33:53
>> Remarkable. Compared to the men's where
00:33:55
it's two, it's just Ser and Alcarez.
00:33:58
Djokovic, sorry. Djokovic won a few. Um,
00:34:01
but it's totally different. I I would
00:34:04
put I think most betterers would put 95%
00:34:08
probability on either Ser or Alcarez.
00:34:11
And right now you couldn't pick two
00:34:13
women where you would give more than I'm
00:34:15
not sure you would do much more than
00:34:17
half. Maybe a little bit more than half
00:34:19
for the top two, Sabalinka and Suantech.
00:34:21
I mean it's an interesting stat that
00:34:23
came out. This is my dark horse. What
00:34:25
the hell? I'll pick it now. I'm actually
00:34:26
going to see her tomorrow night. Um, I
00:34:29
know this is meaningless and Audi's
00:34:30
about to frown because it's a small
00:34:32
sample, but Naomi Osaka has never lost a
00:34:36
major where she's made it to the
00:34:38
quarterfinals. So, she's made it to the
00:34:40
quarterfinals. Sorry, AI. It's only four
00:34:43
times in her career, but she's won all
00:34:45
four majors. She's undefeated in the
00:34:47
quarter, semis, and finals of majors.
00:34:49
And so, she absolutely destroyed Koko
00:34:52
Goff yesterday, which is not an easy
00:34:54
thing to do. Uh she's playing Mukaba
00:34:57
tomorrow night. Um and um I'm feeling
00:35:01
really good about Naomi Osaka's game and
00:35:03
when she's on her game, you know, she's
00:35:05
got she's got four hardcore major titles
00:35:08
and I don't see any reason why not. But
00:35:09
just the difference between the men's
00:35:10
and the women's side. Not that the men's
00:35:12
isn't interesting, but like can Djokovic
00:35:15
make it? I mean, let me I'll say the
00:35:17
following. I think I said this last
00:35:18
week. If Djokovic wins this major at age
00:35:21
38, and I just want to repeat who he'd
00:35:23
have to beat to win this in my view,
00:35:26
he's he's playing Taylor Fritz tonight,
00:35:28
the number one ranked American, number
00:35:29
four in the world. If he beats him, he
00:35:32
gets the honor of playing Carlos Alcarez
00:35:34
in the semi-finals. If he beats him, he
00:35:36
gets the honor of playing Yannik Ser in
00:35:38
the finals. If he were to beat Fritz,
00:35:41
Alcarez, and Sinner,
00:35:44
not that there's any doubt he's the
00:35:45
goat, but he's absolutely the goat. I
00:35:48
can't give him more than I mean you
00:35:50
could put any percent you want you know
00:35:52
I don't know 2% there no way he's not
00:35:55
beating all three and physically he
00:35:56
won't you know just physical it's it's
00:35:58
just that he won't be he won't have
00:36:01
enough left in the tank at age 38 to
00:36:04
face even if he makes it to center which
00:36:06
I don't think he will I just don't think
00:36:08
I mean sinner's going to be fresh he's
00:36:10
either way
00:36:11
>> Eric remind us about Osaka um she she
00:36:14
she had she had some mental emotional
00:36:18
struggles. I think some of it came on
00:36:20
the heels of some stuff that happened at
00:36:22
the US Open, if I remember correctly, a
00:36:24
number of years ago. So, my question my
00:36:26
question to you is how recently has she
00:36:27
been back in form? I did I she just kind
00:36:29
of slipped off the radar for a while and
00:36:31
I don't I don't remember when she
00:36:32
reappeared.
00:36:33
>> Well, she's just come back. She had a
00:36:34
child.
00:36:35
>> Okay.
00:36:35
>> Also,
00:36:36
>> okay.
00:36:36
>> And so, um she is ranked. She's 23rd.
00:36:40
She's seated 23rd. So, she's come back
00:36:42
enough. Uh she had two good hardcore
00:36:45
hardcourt results this summer and made
00:36:48
it to the finals of one semi-finals of
00:36:50
another. So she's been playing much much
00:36:53
better. And um again you know it's this
00:36:56
is always hard to say. Did Koko go have
00:36:58
a bad day or did uh you know Osaka have
00:37:02
a really good day? But she just beat the
00:37:04
number three player in the world. I
00:37:06
think the final was either 63 62 or 62
00:37:08
62 and it wasn't close. And if she can
00:37:12
do that to Koko Goff, who's had a very,
00:37:15
very good year, she can do that to
00:37:17
anybody. So, um, but yes, she's been
00:37:20
back playing well for the last two or
00:37:22
three months. And, um, they asked her
00:37:25
on, you know, the broadcaster after her
00:37:28
match against Koko Ga asked her, "How
00:37:30
are you feeling?" And she says, "Well,
00:37:32
you know, I am undefeated in majors when
00:37:33
I make it to the quarterfinals." So, she
00:37:35
obviously knew about that. And so, she
00:37:38
said it with a smile, but she was saying
00:37:39
it somewhat seriously. I don't think I
00:37:41
don't think she thinks she can't win it.
00:37:43
She thinks she can win this.
00:37:45
>> Mhm.
00:37:45
>> And by the way, this is what you have to
00:37:47
put into perspective. If she wins this
00:37:50
match, the major,
00:37:52
he's a year younger than Sabalanka,
00:37:55
who's number one in the world, and
00:37:56
she'll have more majors than Sabalanka.
00:37:58
So, you know, I understand Sabalanka's
00:38:00
great, is the current number one, but if
00:38:02
Koko go wins this, she has five majors
00:38:05
and she'll she's a year younger than
00:38:06
Sabalanka. Why can't we put her at some
00:38:09
point if she wins this in that same
00:38:11
discussion of kind of greatness?
00:38:13
>> Clarification. You just said Koko Goff.
00:38:15
You meant Osaka. Um but
00:38:17
>> Osaka I meant Osaka. Yeah. Osaka. If she
00:38:19
wins, she would have five majors, which
00:38:21
is I think Sabalena has four. They both
00:38:24
have only one on the hard courts. Also,
00:38:27
uh very similar, very similar
00:38:28
accomplished careers and very similar in
00:38:30
age.
00:38:32
>> All right. Well, it's intriguing because
00:38:33
she has been away and this is her first
00:38:35
big one back and she has been through
00:38:36
some life changes. So, it's always
00:38:38
interesting to see whether this is the
00:38:39
same or
00:38:40
>> also have to say quickly, Venus is in
00:38:42
the final eight at doubles at age 45.
00:38:45
So, uh her and Leila Fernandez are
00:38:47
playing together. They had never played
00:38:49
before this tournament. They've beaten
00:38:50
two seated teams already.
00:38:52
They are playing the number one team in
00:38:54
the world uh coming up uh about 4:30
00:38:57
today. So, in about 15 minutes. Um she's
00:39:01
45 and she's in the she's in the
00:39:03
quarterfinals of the doubles. So we'll
00:39:05
we'll see how it goes.
00:39:06
>> All right. Good fun. Um and speaking of
00:39:09
attending events, Odd's going to take in
00:39:11
some Yankees here. Maybe still a week
00:39:13
out, but you've got a Yankees game in
00:39:15
your size. Tigers Yankees, no less.
00:39:18
>> I got two games on the agenda. I'm going
00:39:20
to Fenway on the 18th. I'm going to
00:39:23
Yankee Stadium on the 9th.
00:39:24
>> Why does a Yankee fan attend Fenway
00:39:26
other than he has family in the area?
00:39:28
What else is going on? I uh and that is
00:39:30
uh yeah I'm uh yeah I'm going up to
00:39:32
Fenway to go to visit the Red Sox
00:39:35
because to root against them and and see
00:39:37
the van. We got two games going and uh
00:39:40
>> all right
00:39:40
>> stadium next week.
00:39:41
>> Let's talk about let's talk baseball
00:39:43
then. Um I have a confession to make an
00:39:45
important confession to make. I watched
00:39:47
a little bit of regular season baseball
00:39:50
for the first time I'm going to guess
00:39:52
like three years because
00:39:54
>> and I watched a little bit of uh college
00:39:56
football.
00:39:56
>> Okay. You can see we're pulling each
00:39:58
other a little bit. Well, that's
00:39:59
probably the same reason because there
00:40:00
was college football where there usually
00:40:02
isn't college football, which is Sunday
00:40:03
afternoon, and they snuck the Sunday
00:40:04
night baseball game in there, which was
00:40:06
our Phillies. And I I just want to note
00:40:08
again for those of us who haven't
00:40:10
watched baseball in half a lifetime,
00:40:12
this thing where they talk to players on
00:40:14
the field during live action is
00:40:17
completely insane.
00:40:19
>> I thought it was awesome. I saw I
00:40:21
remember seeing it before the last time
00:40:22
I I I did this, but Harrison Bader, the
00:40:25
Phillies center fielder, was the target
00:40:27
Sunday night and it was it's just crazy
00:40:30
to get that kind of live take. And I do
00:40:32
want to ask one other question. You guys
00:40:33
can help me with this. I would like to
00:40:35
see an example of these cards that the
00:40:37
outfielders, probably all the fielders
00:40:39
do, but especially the outfielders have
00:40:41
for positioning by hitter. And so even
00:40:44
during the interview, he's like he's
00:40:46
he's he's having to like conduct the
00:40:48
interview. who's pulling out the card to
00:40:49
look where he's supposed to be on this
00:40:50
particular batter. I want to see one of
00:40:52
those cards. I want to know what they
00:40:54
say. Just some team, some card. It
00:40:56
doesn't have to actually be a real
00:40:57
thing, so it doesn't have to violate
00:40:59
anything. I'm just curious what those
00:41:00
little cards look like in this day of
00:41:03
advanced positioning based on analytics.
00:41:07
>> Well, I mean, I I've never seen one
00:41:08
myself, but I've talked to the people
00:41:09
who made them. Um, and they know it's uh
00:41:13
it's it's basically positioning for for
00:41:15
each uh player. Uh, but it also helps
00:41:18
them figure out how to orient themselves
00:41:20
because there aren't necessarily
00:41:22
markings, particularly on the in the
00:41:23
away in the on the away games. You have
00:41:26
to figure out how to know where to
00:41:28
stand. That means you have to find a way
00:41:30
to to line yourself up and that's not
00:41:32
that easy. Um, when you're traveling, so
00:41:35
must have some information about that.
00:41:37
When are we going to move to the 21st
00:41:38
century? Why don't look, they already
00:41:40
talked to the pitchers and the things.
00:41:41
Why don't they just have something in
00:41:43
their hat? Hot, hot, hot, cold, cold,
00:41:45
cold.
00:41:46
the old gang start moving left, right,
00:41:48
front, back, or why they just tell you
00:41:50
Audi moved four steps. I'm just saying,
00:41:52
why do they have a paper card? I mean, I
00:41:54
I just don't if we're going to use
00:41:55
technology, let's damn use technology.
00:41:57
Come on.
00:41:58
>> You're talking to the wrong guy. Ai Audi
00:42:00
wants them to not even be able to use a
00:42:02
ballpoint pen. He wants those things
00:42:03
written in pencil. Are you kidding me?
00:42:05
Or charcoal? What do we got? What? How
00:42:07
can we take it down a notch?
00:42:08
>> He believes in the shift.
00:42:11
>> I certainly believe in the shift.
00:42:12
Shift's part of the game. Um the the
00:42:13
thing I'm not I mean I'm tend to be
00:42:16
pretty conservative about the way the
00:42:17
game is played. I don't want to change
00:42:18
the rules. I don't want the golden
00:42:20
atbat. That's the stupidest thing I've
00:42:21
heard um that there's now being talked
00:42:24
about.
00:42:26
>> Yeah, I heard something about that. That
00:42:28
would be pretty darn stupid.
00:42:30
>> So you guys are all about the alltime
00:42:31
stats and it this thing happened last
00:42:34
week. That's right. That that uh that um
00:42:38
jumps out to me because how rare it is.
00:42:39
Schwarber had a four home run game. It
00:42:42
turns out there have been three of them
00:42:43
this year, which is insane because
00:42:45
there's only been 21 ever.
00:42:47
>> Something that has only happened. How
00:42:49
many perfect games? That was always a
00:42:50
gold standard for rarity. How many
00:42:52
perfect games in MLB history have there
00:42:54
been?
00:42:55
>> I think it's right around that mark. I
00:42:56
don't know. Right around that number.
00:42:57
>> I thought it was around 30, but I I
00:42:59
haven't looked.
00:42:59
>> 24. 24.
00:43:01
>> Okay. So, this is about as rare,
00:43:03
slightly more rare
00:43:05
>> than a perfect game.
00:43:06
>> I mean, that's really something. Now,
00:43:08
there is not there is some potentially
00:43:10
non-stationerity, more home runs these
00:43:13
days. I mean, three this year. Why would
00:43:15
it tick up? Why would it tick up? This
00:43:17
thing has happened going into the
00:43:19
season. Happened 18 times ever, 25% less
00:43:22
times than perfect games. I mean, come
00:43:24
on.
00:43:25
>> Well, you could I mean, I I'll use
00:43:27
Audi's theory a couple things. Um, one
00:43:29
is, and you said it, okay, guys are
00:43:31
swinging for home runs more. That's one.
00:43:34
Uh, two, um, it could be that, you know,
00:43:38
they're bringing in, you know, it's back
00:43:39
to the distribution of bad pitchers,
00:43:41
like how many bad pitchers am I going to
00:43:43
bring into this game? Guys aren't aren't
00:43:45
staying in for seven innings, eight
00:43:47
innings. That's another possibility. Or
00:43:49
third, it could just be, you know, we
00:43:51
have to think about this. Maybe three is
00:43:53
not that rare under the, you know, let's
00:43:55
say that the the baseline rate is one
00:43:57
every four to five years. Maybe sampling
00:44:00
from a pluson with that rate maybe. I
00:44:04
mean three is not likely but I I would
00:44:06
think this you know the standard
00:44:08
deviation is what the square root of one
00:44:10
over the rate or something like that. So
00:44:11
I maybe it's so three is rare but it's
00:44:14
not I I could compute if like right now
00:44:16
how many
00:44:18
>> rare things happen all the time. It's my
00:44:20
favorite favorite lines that I teach my
00:44:22
students and that's because there's so
00:44:23
many rare things that can happen and
00:44:24
eventually somebody's going to pack into
00:44:26
one of them. I remember earlier in the
00:44:28
season um and actually at this point in
00:44:30
the season we could do the same
00:44:30
calculation. Yankees center fielder
00:44:32
Trent Gisham has never hit more than a
00:44:35
tiny handful of home runs in a year and
00:44:36
he's at 28
00:44:38
and he was at 15. He was hitting it at a
00:44:41
rate of about one in one in 15 one and
00:44:43
16 when his career rate is like one in
00:44:46
100. And and that was u a really
00:44:49
unlikely event.
00:44:51
And you wonder is it at that point are
00:44:53
you looking at a different hitter or are
00:44:55
you looking at just an unlikely event
00:44:57
happening because they have so many
00:44:59
opportunities? And that's the real rub.
00:45:00
I mean with Schwarber it's just an
00:45:02
interesting thing, right? We know he's a
00:45:03
great hitter. He's got four. Okay,
00:45:04
whatever. But with someone like Trent
00:45:06
Gisham, and this is actually an
00:45:08
interesting question. He's had genuinely
00:45:10
a great season, but would you predict
00:45:12
he'd do it again?
00:45:13
>> Yeah.
00:45:13
>> And my answer is no. I would not predict
00:45:15
he would do it again. Yeah. I don't
00:45:17
think at age whatever he is um
00:45:21
approximately 30, you just you don't
00:45:23
just morph into something that's a
00:45:25
genuine power hitter at center field and
00:45:27
there's going to be this pressure on to
00:45:29
give him a $25 million contract which
00:45:31
would be in my view a mistake based on
00:45:34
the analytics, right? Based on the
00:45:35
numbers that this is um you have to
00:45:37
shrink hard. Use the formula that Eric
00:45:40
has in the back of his board right
00:45:41
there. You have to update that prior
00:45:43
probability, but not that much because I
00:45:46
I'm sticking with that prior. He's got
00:45:48
years. It's not like he's just years of
00:45:51
of mediocrity and and uh I'm not going
00:45:54
to I'm not going to put too much
00:45:56
emphasis on this this one season.
00:45:58
Although I've been thankful to see him
00:46:00
hit and bring the Yankees, you know,
00:46:02
they we've won they won every game but
00:46:03
yesterday since we last recorded. That's
00:46:05
it.
00:46:05
>> Well, the other Yeah. The other thing
00:46:07
that I found uh this, you know, speaking
00:46:09
about baseball just quickly is the guy
00:46:11
that snuck up on me, maybe you guys have
00:46:13
been paying more attention, but you
00:46:15
know, this is why they play 162. When we
00:46:17
look back at the stats, get the
00:46:18
trajectory, and we look at Juan Sto's
00:46:20
year, all of a sudden, you know, there
00:46:23
he is. You know, there he is. He's going
00:46:25
to be at 40 plus, 100 plus. His OPS is
00:46:29
above zero is above 900 and he's got a
00:46:31
war right now of 5.3. So, you know, for
00:46:35
a bad year, that's not a bad year.
00:46:38
>> And a bad start. He ended up quite
00:46:40
excellent. Listen, it it's it breaks our
00:46:43
heart because we know that he's he was
00:46:45
so important to the Yankees last year.
00:46:47
Um,
00:46:48
>> so he could hitter. He could have
00:46:50
stayed, went across town. Such a
00:46:52
violation.
00:46:53
>> Give us something from the last month of
00:46:55
the year, last month of the of the
00:46:58
regular season that y'all are most
00:46:59
interested in that doesn't have anything
00:47:01
to do with the Yankees. like give give
00:47:02
each of you give us one storyline or
00:47:04
question you have for the last month of
00:47:05
the regular season.
00:47:07
>> Well, I'm looking at Kyle Riley. Um
00:47:10
nothing new to the Yankees, but um is he
00:47:13
going to is how close is he going to
00:47:15
flirt with 60? I mean, he's at 50 now. I
00:47:17
think there are 25 games remaining
00:47:20
roughly approximately 10 home runs in a
00:47:22
in a month would be an would be a a
00:47:24
excellent month. It's what he's averaged
00:47:26
this season, but nevertheless, it is
00:47:28
excellent. Um, so really interested in
00:47:30
seeing what he does there. And I'm
00:47:31
actually interested to see whether he
00:47:32
gets the MVP not
00:47:34
>> doing that at catcher is extraordinary.
00:47:36
And this is something that I
00:47:37
analytically have been toying with for
00:47:39
years. I feel like the the position
00:47:41
adjustments that we make in war is is a
00:47:46
uh a big patchwork of guessing. And a
00:47:49
lot of that guesswork is is something
00:47:50
that we don't really know how to deal
00:47:52
with with catcher because you just don't
00:47:54
get that kind of production out of
00:47:56
catcher. You don't get half that
00:47:57
production out of catcher at the number
00:48:00
two catcher. Let's I mean this is
00:48:01
something to quickly look up. Who is the
00:48:03
second most productive catcher in the
00:48:05
American League and you can throw out a
00:48:07
major league and is that catcher half of
00:48:10
Cal Riley? Don't you look at War because
00:48:11
that's an adjustment. But I'm looking at
00:48:12
the the batting productivity.
00:48:15
>> I mean is I I doesn't I have to talk
00:48:18
about the Yankees Dragon. Doesn't Ben
00:48:19
Rice play catcher for us?
00:48:21
>> Yes, but just a little bit.
00:48:23
>> Oh, okay. because he's his productivity
00:48:25
could be half of Raleigh's,
00:48:26
>> right? Half and he's just the backup.
00:48:28
And talk I mean Ben Rice is actually
00:48:29
interesting. Here we are talking about
00:48:31
Yankee again. You did it.
00:48:32
>> I tried. I tried.
00:48:33
>> Ben is interesting guy because uh I did
00:48:35
some numbers analysis on Ben.
00:48:37
>> Ben Rice has the biggest, if not the
00:48:40
biggest, maybe it's the second, but I
00:48:41
think it is the biggest gap between what
00:48:43
what we call the XWOBA and the WOBA. So
00:48:46
the WOBA is a weighted on base
00:48:47
percentage. Just just a single aggregate
00:48:49
offensive number. You can put a plus
00:48:51
sign on it to adjust for your the park,
00:48:53
but it's hardly that relevant. And XOBA
00:48:57
takes the velocity off the bat and the
00:49:00
angle and it turns that into an
00:49:02
estimated
00:49:04
quality. Wobba that you would have if
00:49:08
the what they typically think of the
00:49:10
average amount of luck.
00:49:11
>> So X stands for expected basically based
00:49:14
on the fundamentals or the peripherals,
00:49:16
whatever you want to call it in the
00:49:17
sport. based on the fundamentals, you'd
00:49:19
expect a certain WOBA. And you're saying
00:49:21
his actual WOBA is outperforming his
00:49:23
expected
00:49:24
>> way. It's not even close. It's like he's
00:49:26
his his expected WOBA is something over
00:49:29
nearly 400, which is league leading
00:49:31
territory. And his actual WOBA is in the
00:49:33
low 300, which is average. And it is a
00:49:36
complete gap. And turns out he did it
00:49:38
again last year. Now, last year was only
00:49:40
2024 where he only had a handful. You
00:49:42
know, he didn't have a complete season.
00:49:44
So, it was somewhat thought that he
00:49:46
would break out. Um, and in some level
00:49:48
he has broken out. He's he's had a
00:49:50
pretty good season, but not a great
00:49:52
season. But his ex-wa suggests he's the
00:49:55
third or fourth best hitter in the
00:49:56
league.
00:49:56
>> Okay. Do you do you believe do you
00:49:58
believe in X WOBA?
00:49:59
>> Well, traditionally I have, but now I'm
00:50:02
coming to be suspicious.
00:50:04
All right. All right, guys. Um, let us
00:50:07
change to uh maybe the last sport of the
00:50:10
weekend. This is week one of the NFL. We
00:50:13
have an NFL guest slated for next week.
00:50:16
Brian Burke, our longtime friend, ESPN
00:50:18
analyst, innovator Brian Burke will be
00:50:21
with us to talk about week one, but
00:50:22
between now and then, we have got a lot
00:50:24
of games. We've got 16 games in the
00:50:26
queue and they run all weekend long.
00:50:28
They run Thursday night
00:50:30
>> or Thursday. I'll be I'll be there on
00:50:31
Thursday.
00:50:32
>> So, we'll talk about that in a minute,
00:50:33
but we've got games on Friday and
00:50:35
obviously we have games Sunday and
00:50:36
Monday. So, it's quite the weekend. Um,
00:50:38
we are kicking off with the Eagles.
00:50:42
Dallas in Philadelphia. Eric's talking
00:50:44
about being there. The Cowboys are, I
00:50:46
think, six and a half point dogs coming
00:50:48
in without
00:50:48
>> eight and a half.
00:50:49
>> Eight and a half now. I saw six and a
00:50:50
half today.
00:50:51
>> Eight and a half. I'm just looking. I'm
00:50:53
staring at it, right? Look according to
00:50:54
ESPN bet. I mean, there's all kinds of
00:50:56
lines, but it's eight and a half.
00:50:57
>> If you cross seven, that's a that's a
00:50:58
meaningful thing. So, that's
00:51:00
interesting. Um the Eagles also we can
00:51:02
look at futures for the season and the
00:51:04
Eagles are by far at the top NFC team.
00:51:08
They're right in the mix with the three
00:51:10
strong strongest AFC teams. In fact,
00:51:12
it's kind of interesting that those that
00:51:14
they're all kind of sitting at about the
00:51:16
same ex expectation, the Eagles, Chiefs,
00:51:19
Ravens, and Bills, even though there's
00:51:21
three from the AFC and one from the NFC,
00:51:24
that just speaks to how clearly those
00:51:25
top three in the AFC dominate the the
00:51:27
probabilities coming out of that.
00:51:30
Yeah. No, I agree. I think it's a very,
00:51:32
very interesting season. I just have
00:51:34
this feeling the Chiefs, this isn't the
00:51:38
Chiefs year. Like, you know, around the
00:51:41
edges, they seem, you know, you know,
00:51:44
Travis Kelce is not clearly not the
00:51:46
player he was. And Mahomes actually
00:51:49
didn't have that great a season last
00:51:51
year. I'm not saying he's over the hill.
00:51:52
He's 29 or 30, but I'm just saying he
00:51:54
didn't have, forget the Super Bowl, he
00:51:55
didn't have that great a season last
00:51:57
year. their edge rushers are getting
00:51:59
older. So, and I've got to think I mean
00:52:03
look, Baltimore and Buffalo are
00:52:06
actually, in my view, my view more
00:52:07
talented teams. Eventually, they're
00:52:09
going to beat Kansas City. And I think
00:52:11
if one of them especially gets home
00:52:13
field, that's the key. Don't have to go
00:52:16
to Arrowhead to win the AFC Championship
00:52:19
game. So, if you're Buffalo and
00:52:21
Baltimore, do not lose some random bad
00:52:24
game because you're going to lose some
00:52:26
games to some good teams. Do not lose a
00:52:28
random bad game because that can cost
00:52:30
your home field and that could be end up
00:52:31
being the difference.
00:52:32
>> So I you know Eric I don't know that I
00:52:35
have many stronger sports wishes this
00:52:38
year this calendar year than that Casey
00:52:42
that either Buffalo or Baltimore makes
00:52:44
just give me either one like not Kansas
00:52:45
City by God. I'd rather it not be the
00:52:47
Bengals but I'll take them over the
00:52:49
frigin Chiefs. But really
00:52:50
>> I haven't even looked at schedule
00:52:52
they're playing each other this week.
00:52:53
>> Yeah they open that way Sunday night.
00:52:55
Absolutely. No, I didn't see that. I'm
00:52:57
just looking at I I've been so caught up
00:52:59
on tennis and then I've been caught up
00:53:01
on the Eagles game. I'm looking at the
00:53:03
NFL schedule now. This is an incredible
00:53:06
slate of games.
00:53:06
>> It's a it's a it's a good week one and
00:53:08
it top and you know even Monday night
00:53:10
game is is going to be a good one.
00:53:12
Minnesota, Chicago, but that Sunday
00:53:13
night game, I mean we the last time we
00:53:15
saw Baltimore and Buffalo, last time we
00:53:17
saw
00:53:17
>> Baltimore anyway, they were in Buffalo
00:53:19
for that division game, divisional
00:53:22
playoff game against against Buffalo.
00:53:24
And so this how they ended their season.
00:53:26
Now they're starting their season that
00:53:27
way. Those are two with the highest
00:53:29
expectations. Chargers.
00:53:30
>> Well, this is what I was gonna say.
00:53:31
You're talking about the Chiefs, you
00:53:33
know, the the three-way race for home
00:53:35
field in the AFC, if you want to call it
00:53:38
three three-way race. It begins this
00:53:40
weekend with those two, one of those
00:53:42
teams that we like is going to get
00:53:43
knocked off. And then KC has a chance to
00:53:46
get knocked off by the Chargers. They're
00:53:48
two and a half point favorites. It's a
00:53:49
Friday night game. Fun week one thing.
00:53:51
Friday night NFL game. KCA in LA against
00:53:54
the Chargers only.
00:53:56
>> Oh, it's in Sa Paulo. It's another It's
00:53:58
another Sa Paulo game.
00:53:59
>> Oh, I thought it was in Los Angeles. Oh,
00:54:01
that's interesting.
00:54:01
>> No, no, no. It's counted as a home game
00:54:03
for the Rams, but it's in Sa Paulo.
00:54:05
>> Not Rams. You mean Chargers?
00:54:07
>> Chargers. Chargers. Sorry. The other
00:54:09
Yeah. The Rams have an interesting game
00:54:10
at home against the Texans, by the way.
00:54:12
That's another in see the interesting
00:54:14
thing about that is as you
00:54:16
>> if you beat let's say the Chargers beat
00:54:18
the Chiefs. Okay.
00:54:21
>> They're in some sense they're two games
00:54:23
up on the Chiefs
00:54:24
>> because
00:54:24
>> the season just started and they're two
00:54:26
up because they have they have the
00:54:27
tiebreaker and they and they're one
00:54:29
and0. So it's meaningful. It's a meaning
00:54:32
I would say the same thing about
00:54:33
Baltimore Buffalo. Assuming they don't
00:54:35
play again this year, which they're not
00:54:37
in the same division. They're not going
00:54:38
to play again this year. Whoever wins
00:54:40
that game essentially has almost a
00:54:42
twoame lead on the other team for home
00:54:45
field. This is worth more than one game.
00:54:47
This is worth more than one game. Come
00:54:49
on.
00:54:49
>> That that's that's interesting. Um well,
00:54:52
the I meant to reach out to our friend
00:54:55
uh Eric Jeff Argus, our our buddy up in
00:54:58
Buffalo. The you know, you know, I have
00:55:00
I thought about it in the offseason.
00:55:01
Jeff's a a buddy of ours in Buffalo, big
00:55:03
Bills fan, and in some way is
00:55:05
responsible for the show coming together
00:55:07
because you and I know each other
00:55:09
>> first. First first. That's true.
00:55:10
>> Because of Jeff. Um so it's hard not to
00:55:13
pull for those Bills. All those guys
00:55:15
give anything for them to get back to
00:55:16
the Super Bowl except I would take the
00:55:18
Ravens.
00:55:19
>> Yeah, you're a Ravens guy.
00:55:20
>> Well, top two teams. I'll take either
00:55:22
one of them. Okay. The other the other
00:55:23
big game I think over the weekend is
00:55:25
that um Detroit Green Bay game which is
00:55:30
Sunday afternoon an afternoon game four
00:55:32
o'clock game 425 game Detroit going into
00:55:34
Green Bay.
00:55:35
>> They are you know um coming off a couple
00:55:38
of great seasons but they are the
00:55:39
underdogs on the road to Green Bay. Is
00:55:42
Parson's I haven't read is Parson's
00:55:43
going to be fit enough to play his first
00:55:45
game on week one.
00:55:46
>> He there he's planning on playing.
00:55:48
Whether they have to inject him or not
00:55:49
is a separate issue in the back. He's
00:55:51
got a back issue, but yeah, they say
00:55:52
he's playing.
00:55:53
>> Okay, so we could talk a lot about that
00:55:55
trade because we have opinions about
00:55:56
trades and they gave up a ton of draft
00:55:58
capital, which we know is valuable. They
00:56:01
need to enjoy him in the immediate
00:56:03
future because they traded away some of
00:56:05
the outy years. And so this is a big
00:56:08
season for the Packers. That's for damn
00:56:09
sure.
00:56:09
>> No, I think I think you've brought it
00:56:11
up. I think um Kansas City and the
00:56:14
Chargers is a well above average game. I
00:56:18
think you've pointed out uh Detroit,
00:56:20
Green Bay, Houston and the uh Rams,
00:56:24
Baltimore, Buffalo, Minnesota, Chicago.
00:56:27
They're not, you know, and the good news
00:56:28
is um because of the way it's set up,
00:56:30
there's two of them at 4:00, but I can
00:56:32
watch all the rest of them. Like I can
00:56:34
watch all of them.
00:56:35
>> Yeah. Well, they gave us they've given
00:56:37
us a bunch of divisional stuff, too,
00:56:39
which is fun. To start us off right out
00:56:41
of the box with a bunch of these
00:56:42
divisional rivalries is is one of the
00:56:44
reasons that it's such a fun weekend.
00:56:46
What about big picture, Eric? When you
00:56:48
look at futures for the playoffs or the
00:56:50
Super Bowl, does anything jump out to
00:56:53
you? We can look at odds, you just pick
00:56:55
them off at ESPN or whatever.
00:56:57
>> All right. I'm not just saying this,
00:57:00
you know, the Bucks at 30 to1.
00:57:04
I I think they're better than 30 to1. I
00:57:07
mean, I've heard a lot of people Look,
00:57:09
do you know what team Kate has won their
00:57:11
division? Four straight years.
00:57:12
>> Is that right? I didn't know that.
00:57:14
Really? I mean, people Yeah, people
00:57:17
don't give them I mean, by the way, you
00:57:18
remember there was the that 20-year
00:57:20
stretch where nobody repeated in the NFC
00:57:22
South.
00:57:23
>> No, I don't pay I don't pay much
00:57:24
attention to the NFC South to be honest.
00:57:26
>> Well, whatever. The Bucks have won their
00:57:28
division four straight years. If they
00:57:29
win, obviously this that's five straight
00:57:32
years. They're in a weak division.
00:57:34
>> So already that puts you, if they win
00:57:36
the division, that already puts you in
00:57:37
the top four seeds. You at least have
00:57:39
one home playoff game. You're obviously
00:57:40
probably the favorite in that game. All
00:57:42
right. So now you're in the conference
00:57:44
semifinals. So I just think the Bucks
00:57:47
being 30 to1. And look, Baker Mayfield,
00:57:51
that man can throw the football and and
00:57:53
No, no. And I'm saying if Godwin's
00:57:56
healthy, which is an if, and Mike Evans
00:57:59
still healthy and they drafted a a
00:58:00
receiver in the first round and their
00:58:03
running back, Bucky Irving, you know,
00:58:05
they can score the football now whether
00:58:06
they'll play defense good enough. So
00:58:08
that's the thing. I'm not just saying
00:58:09
that as a Bucks fan. The Bucks sitting
00:58:11
there at 30 to1.
00:58:13
>> Well, what I like what I most like about
00:58:15
it is that the NFC if you if if the if
00:58:18
you think Philly is gonna struggle at
00:58:20
all, if you don't think they're just
00:58:21
going to plow through the NFC, then the
00:58:22
NFC is pretty open. Like taking a long
00:58:24
shot in the AFC doesn't make a lot of
00:58:26
sense because you've got three of the
00:58:28
big ones to fall down. All three of them
00:58:29
have to fall down. For the NFC, I mean,
00:58:32
any number of teams. Do you think
00:58:34
Washington's gonna do it again? Probably
00:58:36
not. What about the Vikings? Do you
00:58:37
think their new quarterback's gonna be
00:58:38
able to do it? You know, maybe um the
00:58:42
Niners are in there, the Rams are in
00:58:44
there, the Packs is in there, the Lion
00:58:45
the Lions are probably best. The Lions
00:58:48
the Lions could have made the Super Bowl
00:58:49
easily last year.
00:58:51
>> I look I the reason I'm willing to say
00:58:53
the Rams also is remember I was at that
00:58:56
game. The Rams I I'll make to my dying
00:58:59
day. I'll say the Rams were the better
00:59:01
team at Eagles. Like that snow game. The
00:59:04
Rams looked like they were the better
00:59:05
team. I'll tell you what it definitely
00:59:07
was true. Matthew Stafford was better
00:59:09
that day.
00:59:09
>> It was one of the best It was one of the
00:59:11
best snow performances by a quarterback
00:59:13
I've ever seen. It was shockingly good
00:59:16
in the snow. Shockingly good.
00:59:18
>> Shockingly good. So, I'm saying why
00:59:19
can't the Rams go to the Super Bowl? Of
00:59:21
course they can. Sure they can.
00:59:23
>> All right. Well, the mystery starts
00:59:25
unraveling or unfolding or being
00:59:27
revealed to some extent in just two
00:59:30
short days. So, we'll kick the season
00:59:32
off on Thursday. We'll talk about it
00:59:33
next time around. Why don't we wrap for
00:59:36
there for the whole crew? Eric Bradler
00:59:39
who's been in here through the whole
00:59:40
thing. Audi Winer all but the last 10
00:59:42
minutes. Shane Jensen and Absentia, Dion
00:59:45
Simpkins, the boss man, keeping us on
00:59:47
track all these years. Deep Patel, the
00:59:49
new boss lady in town. And for you guys,
00:59:52
the listeners, thanks for listening. Oh,
00:59:53
Marissa Raina. Marissa Raina, our
00:59:55
producer as well. Many thanks to her.
00:59:57
For you guys, the listeners, thanks for
00:59:58
being with us. Come back and join us
00:59:59
next time. Between now and then, enjoy
01:00:02
your sports.
01:00:05
[Music]

Episode Highlights

  • Stephen Godfrey Joins the Show
    One of our favorite guests, Stephen Godfrey, shares insights on college football.
    “Thanks for having me, guys. I'm very excited to um add nothing to mathematical conversation whatsoever.”
    @ 01m 31s
    September 16, 2025
  • The Evolution of Analytics in Football
    Stephen discusses how analytics have changed decision-making in football coaching.
    “I think they believe in the numbers.”
    @ 07m 12s
    September 16, 2025
  • The Intensity of College Football
    Fans transform from hospitable to intense as the game begins, showcasing their passion.
    “It was almost a professionalized college crowd.”
    @ 17m 51s
    September 16, 2025
  • NIL and the NCAA's Future
    Stephen Godfrey discusses the evolving landscape of college sports and NIL implications.
    “Water rises to meet its level.”
    @ 28m 27s
    September 16, 2025
  • Naomi Osaka's Quarterfinals Record
    Naomi Osaka has never lost a major after reaching the quarterfinals, winning all four times.
    “I am undefeated in majors when I make it to the quarterfinals.”
    @ 37m 32s
    September 16, 2025
  • Schwarber's Historic Four Home Run Game
    Kyle Schwarber achieved a rare feat with four home runs in a single game, a rarity in MLB history.
    “It turns out there have been three of them this year, which is insane.”
    @ 42m 42s
    September 16, 2025
  • Eagles vs. Cowboys Showdown
    The Eagles are set to face the Cowboys, with the Eagles favored by eight and a half points.
    “The Eagles are by far at the top NFC team.”
    @ 51m 04s
    September 16, 2025
  • Chiefs' Uncertain Future
    Concerns arise about the Chiefs' chances this season as key players show signs of decline.
    “I just have this feeling the Chiefs, this isn’t the Chiefs year.”
    @ 51m 32s
    September 16, 2025
  • Crucial Game for AFC Home Field
    The matchup between Baltimore and Buffalo could determine home field advantage in the playoffs.
    “This is worth more than one game. Come on.”
    @ 54m 49s
    September 16, 2025

Episode Quotes

  • It's just divisive communication. That's all.
    How Analytics Are Changing the Game in College Football
  • Math says you suck inside the 20. And math tends to not be argued with.
    How Analytics Are Changing the Game in College Football
  • Water rises to meet its level.
    How Analytics Are Changing the Game in College Football
  • I am undefeated in majors when I make it to the quarterfinals.
    How Analytics Are Changing the Game in College Football
  • Rare things happen all the time.
    How Analytics Are Changing the Game in College Football
  • This is worth more than one game. Come on.
    How Analytics Are Changing the Game in College Football

Key Moments

  • Guest Introduction01:31
  • Analytics Discussion07:12
  • College Crowd Intensity17:51
  • NIL Discussion28:27
  • Schwarber's Feat42:42
  • Rare Sports Events44:20
  • Eagles Kickoff50:38
  • Chiefs Concerns51:32

Words per Minute Over Time

Vibes Breakdown

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01:08:34
Data-Driven NFL Playoffs and College Football’s Shifting Power
Bill Connelly on College Football Chaos, Coaching Carousel, and Predicting the Future of the Game
October 31, 2025
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59:01
Bill Connelly on College Football Chaos, Coaching Carousel, and Predicting the Future of the Game
Inside College Football’s Data-Driven Evolution and Decision-Making
January 22, 2026
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01:10:36
Inside College Football’s Data-Driven Evolution and Decision-Making
Baseball Analytics, NFL Parity, and College Football Playoff Odds
November 16, 2025
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01:01:01
Baseball Analytics, NFL Parity, and College Football Playoff Odds
When Analytics Meet Chaos in Football Playoffs
January 15, 2026
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01:10:28
When Analytics Meet Chaos in Football Playoffs
NFL Week 3 Analytics Insights and MLB Home Run Chase & Playoff Outlook
September 18, 2025
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01:01:26
NFL Week 3 Analytics Insights and MLB Home Run Chase & Playoff Outlook
NFL Analytics Preview, QB Forecasts, and Team Rankings for 2025
August 05, 2025
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01:05:14
NFL Analytics Preview, QB Forecasts, and Team Rankings for 2025
Why College Football Playoff Predictions Are More Certain Than They Should Be
November 22, 2025
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57:14
Why College Football Playoff Predictions Are More Certain Than They Should Be
NBA Analytics, Tanking, and the Future of Team Building
February 19, 2026
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01:04:12
NBA Analytics, Tanking, and the Future of Team Building
From Masters Victory to Motion Data: Golf’s Analytical Evolution
April 16, 2026
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01:01:58
From Masters Victory to Motion Data: Golf’s Analytical Evolution
The Math Behind Sports Rankings and Golf Analytics
May 07, 2026
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01:08:01
The Math Behind Sports Rankings and Golf Analytics
NBA Shockwaves, Why the Chiefs Still Rank No.1, and the Power of Data
December 01, 2025
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01:00:01
NBA Shockwaves, Why the Chiefs Still Rank No.1, and the Power of Data