Search Captions & Ask AI

NFL Week 3 Analytics Insights and MLB Home Run Chase & Playoff Outlook

September 18, 2025 / 01:01:26

This episode of Wharton Moneyball features discussions on NFL analytics with guest Kevin Cole, including team performance, quarterback evaluations, and coaching impacts. The hosts, Kade Massie, Shane Jensen, and Audi Winer, engage in a lively conversation about the current NFL season, focusing on team records, power rankings, and the significance of early-season data.

Kevin Cole, a frequent guest and NFL analyst, shares his insights on teams that may be better or worse than their current records, highlighting the Kansas City Chiefs and the Baltimore Ravens. He emphasizes the importance of analytics in understanding team performance beyond win-loss records.

The conversation shifts to quarterback evaluations, where Cole discusses the predictive value of early career performance and the challenges of assessing young quarterbacks like Jaden Daniels and Drake May. The hosts also explore the role of coaches in team success, debating the impact of coaching decisions on game outcomes.

In the second half, the hosts open the line for discussions on various sports topics, including college football and baseball, with a focus on current trends and upcoming games.

This episode provides a comprehensive look at sports analytics, offering valuable perspectives for fans and analysts alike.

TL;DR

Kevin Cole discusses NFL analytics, team performance, and quarterback evaluations with Wharton Moneyball hosts.

Episode

1:01:26
00:00:00
Welcome to Wharton Moneyball. Welcome to
00:00:02
a full hour of sports analytics here on
00:00:05
the Wharton podcast network. This is
00:00:08
Kade Massie hosting this week with two
00:00:11
of my three longtime co-hosts. Shane
00:00:14
Jensen is in here in the room. Audi
00:00:16
Winer is in here in the room. Eric
00:00:19
Bredlo will probably be here eventually.
00:00:22
He's got some responsibilities he's
00:00:23
trying to clean up this afternoon. As
00:00:26
you guys know, some combination of us
00:00:27
are here almost every week of the year.
00:00:30
Have been for pushing 12 years now, 11
00:00:32
and a half years, something like that.
00:00:35
We are recording on Tuesday afternoon as
00:00:36
we typically do these days. Show will go
00:00:38
up on Wednesday. We're going to go about
00:00:39
an hour. Going to split it into halves
00:00:42
like we usually do. Going to have a
00:00:43
guest in here first half and then we'll
00:00:45
do the open line segment second half.
00:00:49
For our guest this week, we have Kevin
00:00:51
Cole. Kevin is basically family. A
00:00:54
frequent guest on the show, one of our
00:00:56
favorite people to talk NFL with, one of
00:00:59
the best analysts out there on the NFL.
00:01:02
I think he's one of the best thinkers
00:01:04
out there on the NFL. Always a pleasure
00:01:06
to get some time with you, Kevin. Thanks
00:01:08
for making time for us.
00:01:09
>> Well, thank thanks for having me. I'm
00:01:11
I'm pretty early in the season, so I
00:01:13
know where I am in the pecking order.
00:01:15
>> Well, that's right. That's high on the
00:01:17
list. Exactly. Exactly, man. Week week
00:01:20
week three. This is only our second NFL
00:01:22
guest. We We're down to an hour now,
00:01:24
Kevin. You know, we have a hard time
00:01:26
getting all we want to do, all we need
00:01:28
to do. We're also breaking in a new
00:01:30
producer, so we're kind of figuring
00:01:32
things out as we go. Baseball's been on
00:01:34
the back burner for a couple of weeks. I
00:01:36
don't know how I'm getting away with
00:01:37
that, but it can't last for very long.
00:01:40
So, we're going to squeeze a little more
00:01:41
NFL in here while we can. You guys,
00:01:44
Kevin Cole runs Unexpected Points
00:01:47
Substack. That is really kind of a real
00:01:50
delight. I want to say must readad, but
00:01:52
really it's more like a delight for
00:01:54
those of you interested in the NFL. Go
00:01:56
sign up for it. Great emails come out on
00:01:58
a regular basis. Great stuff. Unexpected
00:02:00
points. Kevin has been in the business
00:02:03
for a while. He ran through PFF for a
00:02:06
little while doing his own thing lately.
00:02:08
One of our, just to let you know, one of
00:02:10
our favorite segments typically in the
00:02:12
off season is Kevin doing kind of a
00:02:15
breakdown of the front offices. He
00:02:16
grades in in a way ranks the front
00:02:19
offices and he's a hardcore analytics
00:02:21
guy, man. If you're not doing if you're
00:02:23
not doing it right, he's going to let
00:02:24
you know and he's gonna he's going to
00:02:26
die on that one and that's a pleasure. I
00:02:29
think I think he makes us all a little
00:02:30
sharper because of it. Anyway, Kevin.
00:02:32
All right, week two in the books. That's
00:02:36
pretty early pretty early days. So, I
00:02:39
think one of the things that's fun early
00:02:41
in any season, if you're an analytics
00:02:43
person, is to see what your models are
00:02:46
telling you that maybe the one loss
00:02:49
records aren't telling you. You know,
00:02:50
these are really small samples right
00:02:52
now, but we like to think models see a
00:02:55
little more clearly. If you if you take
00:02:57
that perspective on the NFL so far, you
00:02:59
know, we've got some two and0 teams,
00:03:01
we've got some 0 and2 teams. Who is on
00:03:03
your list of teams that are probably
00:03:05
better than their record? And who's on
00:03:06
your list of ah the record might be a
00:03:08
little bit elucory the other direction?
00:03:11
>> Well, I mean it almost feels like
00:03:12
cheating to mention the the Kansas City
00:03:15
Chiefs being being an 0 and2 team and
00:03:17
and being part of that. Um although when
00:03:21
I put up my you know power rankings as
00:03:23
you have to do in order to get people to
00:03:26
yell at you as much as possible on the
00:03:28
internet. Um, you know, I always find a
00:03:30
surprising number of people, even for
00:03:32
the Kansas City Chiefs now, are saying,
00:03:33
"Hey, you can't have them ranked to get
00:03:35
over, you know, X team because because
00:03:37
they're 0 and2 so so far this season."
00:03:40
So, I mean, they would be the obvious
00:03:41
one where you're looking at them and
00:03:43
you're saying, "Okay, the record is
00:03:45
poor. Um, the offense looks disjointed
00:03:50
at best. the defense, you know, looks
00:03:53
okay, I would say, but maybe not not not
00:03:56
fantastic as it has been and kind of
00:03:57
carried them more so last year than in
00:04:00
previous seasons. Um, but but you have a
00:04:03
high degree of I think they're going to
00:04:04
figure this out and they have Patrick
00:04:06
Mahomes and all those sorts of things
00:04:07
together. the the real the real
00:04:09
separation of course comes down to what
00:04:11
does it mean for their chances to win
00:04:13
the division, win the Super Bowl, and
00:04:14
now the Chargers are basically a coin
00:04:18
flip type of uh favorite to win the
00:04:20
division and then spread out to the the
00:04:22
rest of the 50% odds are spread out
00:04:24
amongst the other teams in the division.
00:04:25
So that that's going to be a problem.
00:04:27
And they have been, you know, a team
00:04:28
that's had the by-weeks
00:04:30
in in this in all of these successive
00:04:32
Super Bowl runs that they've had.
00:04:35
Well, look, man. If you want to talk
00:04:37
about the Chiefs being 0 and2, we're
00:04:39
just here for you all day long. We've
00:04:41
been dying for those guys to not make it
00:04:43
out of the AFC. So, hey, we got time.
00:04:45
You got time. You want to talk about
00:04:46
that? We got time. Um, it is interesting
00:04:48
though, you you name the Chargers being
00:04:51
a a coin flip. I'm not sure you're
00:04:53
probably running your own sim, but I ran
00:04:55
a quick unabated sim using uh is it in
00:04:59
is it's uh Inpredictable. Inpredictable.
00:05:02
They back power rankings out of betting
00:05:04
odds. Now, it's not like that makes it
00:05:07
sound like it's math and it's not
00:05:10
because you still have to decide how
00:05:11
much weight to put the past like how how
00:05:13
recently you want to weight things. So,
00:05:16
there's some subjectivity to it. You can
00:05:17
fit those things, but some art to it.
00:05:19
Anyway, if you run those odds, market
00:05:22
odds through the unabated sim, you do
00:05:25
get the Chargers at 53.8% 8% 54% to win
00:05:28
the division. And the Chiefs down there
00:05:30
at 19 19% to win the division this time
00:05:33
of the season. Just absolutely
00:05:35
remarkable. If you want to roll it out,
00:05:36
only 50/50 Chiefs 50/50 to make the
00:05:39
playoffs
00:05:41
and way down at two and a half% to win
00:05:43
the Super Bowl. This is uncharted
00:05:44
territory in the Mahomes era.
00:05:48
>> It definitely is. and and like you um
00:05:52
not that it's not not that life should
00:05:54
give us a perfect
00:05:56
uh distribution of events based on
00:05:59
exactly how good teams are. We like
00:06:00
luck. We like surprises. We like other
00:06:02
things like this. But there probably is
00:06:04
a factor when it comes to the Chiefs of
00:06:06
being a little bit lucky. I mean, let's
00:06:07
face it, any anytime you accomplish a
00:06:09
lot, it's a combination of luck and
00:06:11
skill. So, you're probably going to have
00:06:13
a little bit more luck than others when
00:06:14
you accomplish. It's not it's not, you
00:06:16
know, discounting what you've done or
00:06:18
taking credit away. It's just a natural
00:06:20
fact that those two things are going to
00:06:21
go together. So, teams like the Bills
00:06:23
and the Ravens, you know, maybe if one
00:06:25
of them can can get into the Super Bowl
00:06:26
this year, they're probably a little bit
00:06:28
overdue for at least having had that
00:06:30
chance.
00:06:31
>> Well, um you know that you you mentioned
00:06:35
the Ravens. I'm curious where you have
00:06:36
them in your power rankings because I
00:06:39
was shocked at how high inpredictable
00:06:40
has them. unpredictable. You You run
00:06:43
their numbers in, you throw it in a sim,
00:06:45
and you end up with the with the Ravens
00:06:47
way up there most likely to win the
00:06:49
Super Bowl. 22%
00:06:51
likely to Is that win? That's probably
00:06:53
win Super Bowl. Is that win Super Bowl?
00:06:55
That's win Super Bowl. 22% to win the
00:06:57
Super Bowl. The Bills are next to 14.
00:07:00
Packers after that 11. It's head and
00:07:02
shoulders. And the reason is because In
00:07:05
predictable, based on market numbers,
00:07:07
has the Ravens up top power ranking in
00:07:11
the NFL by a full field goal. They have
00:07:13
Ravens plus eight and a half. Next is
00:07:16
Bills. Bills just beat the Ravens in
00:07:18
Buffalo plus 5.7
00:07:20
and you got a drift under, for example,
00:07:22
the Chiefs are down there at plus 2.9.
00:07:24
So that's five and a half point
00:07:26
difference between the Ravens and the
00:07:27
Chiefs. I'm curious. I mean, that feels
00:07:29
a little sharp to me. Um, that those
00:07:31
differences. I'm curious where you have
00:07:32
the Ravens and how much separation you
00:07:35
have at the top, if any.
00:07:37
>> Yeah, not much at all. I mean, I had the
00:07:39
Ravens as number one coming into the
00:07:41
season. I had them at number one after
00:07:45
week one, despite the fact that they
00:07:46
lost to the Bills. I had them being
00:07:48
maybe a slightly better team in that
00:07:50
game. I mean, things like the Derrick
00:07:51
Henry fumble and of course the
00:07:53
improbable comeback come into play. And
00:07:55
again, that's a great one for people to
00:07:56
yell at you. power rankings, you know,
00:07:58
to keep them keep them above the Bills
00:08:00
despite the fact that they they lost at
00:08:02
the Bills, though. So, that's important.
00:08:04
Um, what's what's weird though is now
00:08:05
now they win this game against
00:08:07
Cleveland, but they weren't great
00:08:09
offensively in that in that game and
00:08:11
Cleveland turned the ball over, uh, you
00:08:13
know, as Joe Flacco has want to do. Um,
00:08:16
so even defensively, maybe my numbers
00:08:18
didn't say they were great. So, the
00:08:19
Bills actually rose up a little bit
00:08:21
above them and I have the the Bills
00:08:22
being number one. I'll say one thing
00:08:24
about the the the marketbased betting
00:08:26
market based numbers over in
00:08:28
predictable. It's kind of like Tuesday
00:08:30
they're in a certain state Wednesday
00:08:32
because they're using successive weeks
00:08:33
too if they're available to try to
00:08:35
figure out the you know the matrix to
00:08:36
put together everything let's check back
00:08:39
on Thursday maybe and see where those
00:08:41
numbers at. I bet there will be less of
00:08:42
a of a dividing line between the Ravens
00:08:44
and everyone else and and sometimes it
00:08:46
actually even changes up at the top once
00:08:48
we get once we get to Wednesday and
00:08:49
Thursday.
00:08:50
>> Okay. Okay. That's a good that's a good
00:08:51
warning to me and to others who might
00:08:53
use those numbers. What can you say to
00:08:55
us on the over on the NFC side? How do
00:08:57
you how do you feel that looks so far?
00:08:59
And again, we're most interested in
00:09:00
things where the models are seeing
00:09:02
something different from the record so
00:09:04
far.
00:09:06
>> Well, different from the record, I would
00:09:09
necessarily say, but I mean the the
00:09:11
Eagles were a team that maybe I wasn't
00:09:13
as high as some others coming into the
00:09:16
season because they the Super Bowl
00:09:17
champion. they were kind of the default
00:09:19
number one team. I had them ranked
00:09:21
incrementally lower than the Ravens and
00:09:24
the Bills coming into the season. Um I
00:09:26
still have them being a little bit lower
00:09:27
than the Packers right now. So maybe the
00:09:30
Packers maybe I'm overrating the Packers
00:09:32
a bit, but their numbers have been a bit
00:09:34
stronger coming on the season. And you
00:09:36
know, the Eagles are they get they're 2
00:09:37
and 0. They're the Super Bowl champions,
00:09:39
but they haven't been impressive in
00:09:41
necessarily in these wins, at least
00:09:44
according to my numbers. So maybe
00:09:45
they're a team to look at and say, you
00:09:47
know, it's interesting to see what's
00:09:49
going on. Um they're not as strong as
00:09:51
maybe a Super Bowl champion 2 and 0 team
00:09:53
that's that's that's come into the
00:09:55
season, beaten, you know, perennial
00:09:58
Super Bowl team uh at least appearance
00:10:00
team like the Kansas City Chiefs already
00:10:02
this season. Maybe I'd be fading them a
00:10:04
little bit versus some uh market
00:10:06
opinions.
00:10:07
>> Staying with market, we we have the
00:10:09
we're seeing in predictable right right
00:10:11
on those two teams right on top of each
00:10:13
other and the sim. So, they're
00:10:14
positioned, you know, their relative
00:10:15
position, their schedule, all this stuff
00:10:17
also right on top of each other. Um, in
00:10:19
terms of Super Bowl odds, um, any any
00:10:22
dark courses, any interesting teams out
00:10:24
of the out of the NFC's early on that
00:10:27
intrigue you?
00:10:29
>> Um, well, I mean, the Rams are
00:10:30
interesting if, uh, if Matthew Stafford
00:10:32
can can stay healthy. I mean, there may
00:10:34
be a team that was outside of the top
00:10:37
teams. Now, they had a little bit of a
00:10:38
of a playoff run last year, so so they
00:10:40
snuck in there. So, I think that they're
00:10:42
kind of interesting. Um, the Commanders
00:10:44
would be another team that I'm a lot
00:10:46
higher on, I think, than the market. I
00:10:48
know that Jaden Daniels had one of his
00:10:50
very infrequent poor games last week,
00:10:53
but it's another thing where if the
00:10:55
defense starts to to put things together
00:10:57
with a bunch of different pieces,
00:10:58
there's potential to move forward. And
00:11:00
again, I see the Eagles as being a
00:11:02
little bit weaker than what some others
00:11:04
may may think in that same division. Um,
00:11:07
but this is another one where I've been
00:11:09
higher on the Lions coming into the
00:11:11
season. it was higher on them going into
00:11:13
week one that looked really bad after
00:11:15
week one, but maybe the Packers are
00:11:17
really good and it was against the
00:11:18
Packers. And then they came back and at
00:11:19
least kind of reassured me that I wasn't
00:11:21
I wasn't crazy being as high as I was on
00:11:24
them because I value this offense and
00:11:26
this offensive performance and they
00:11:29
showed that against against the Bears
00:11:31
this last week.
00:11:33
>> Well, you know, there was a time where
00:11:34
we thought that division might be a
00:11:36
little tougher, you know, all the way
00:11:38
down than it looks so far this season.
00:11:41
Uh certainly the Packers and the Lions
00:11:43
are legit. Um Minnesota had the great
00:11:45
week one win, but you know, they're
00:11:47
still breaking in a new quarterback in
00:11:48
Chicago. Good lord. Um so, um that's
00:11:52
that's helpful to Detroit, I suppose.
00:11:53
You know, you mentioned Jaden Daniels.
00:11:55
You you do a fair bit on quarterbacks
00:11:57
and some of the main analytic stuff
00:11:58
you've been pushing lately has been
00:12:01
essentially like adjusting efficiency,
00:12:03
quarterback efficiency numbers for Kevin
00:12:05
Cole considerations. Um, I'm I'm
00:12:08
curious. Can you say more about what
00:12:09
you're doing, how you think it's shaping
00:12:10
up, and then what does it tell us about
00:12:12
the QBs? And let's do that in general,
00:12:14
but I I'm curious about some young guys
00:12:17
like Jaden Daniels. I mean, these are
00:12:18
really famously hard to project early
00:12:22
because, you know, the base rate on
00:12:24
quarterback performance early in a
00:12:26
career is really bad, but then every now
00:12:28
and then someone comes in and really
00:12:29
performs well, like Jaden Daniels did
00:12:31
last year. Pennix has looked pretty good
00:12:32
so far this year. I didn't see enough of
00:12:34
that week two game to really say, but
00:12:35
>> I'll throw in Drake May for personal
00:12:37
considerations as well. Let's
00:12:39
>> Okay, Drake May. Shane's got some
00:12:41
interest in Drake May. There's lots I
00:12:43
mean I mean what do you do when guys
00:12:44
change teams? Do we know we got Daniel
00:12:46
Jones apparently is a good quarterback
00:12:48
now. So I mean let's talk tell us
00:12:51
something about QBs. Help us understand
00:12:52
what we're seeing.
00:12:54
>> Yeah, it's interesting with with with
00:12:57
rookie quarterbacks or early career
00:12:59
quarterbacks. Um, I tend to
00:13:03
value their performance
00:13:06
um as being a bit more predictive than
00:13:08
some others may say. I mean, I know it's
00:13:11
a it's a common thing to say we we don't
00:13:13
know a lot about them, but then if
00:13:14
everyone thinks we don't know a lot
00:13:16
about them, or if we can take a a bad
00:13:18
rookie season like Caleb Williams and
00:13:20
just, you know, toss it out the window
00:13:22
and say we're starting fresh, then we
00:13:24
might actually have some value flipping
00:13:26
to the other side of saying there really
00:13:27
is something here. And I know it's
00:13:28
mostly directional and there are some
00:13:30
guys who have who've had very poor
00:13:32
starts to their careers like um Matthew
00:13:35
Stafford for instance who was on a you
00:13:37
know kind of a dysfunctional Lions team
00:13:38
the 16 team that was there Jared Goff
00:13:42
came in played maybe half a season where
00:13:43
he looked really really poor but beyond
00:13:45
that there there haven't been that many
00:13:47
guys at least in recent history who've
00:13:48
been legitimately bad as rookies who
00:13:51
have gone on to be to be really really
00:13:53
good. Maybe they've gone on to to be
00:13:54
mediocre. I'm really looking at this
00:13:56
stuff. like I'm really looking at Cam
00:13:58
Ward and seeing what he's doing these
00:13:59
these first few weeks and and one of the
00:14:01
times I got people very mad at me last
00:14:04
season of the many times was when a few
00:14:07
weeks into the season I said you know if
00:14:09
I was reddrafting and it's not you know
00:14:12
it's not like a a slam dunk that I'm
00:14:15
going to be right but if I was
00:14:16
reddrafting I I would say you had to
00:14:17
take Jayen Daniels over Caleb Williams
00:14:20
even though it's only been three games
00:14:21
just because you should assume the
00:14:22
number one and number two picks don't
00:14:24
have that much separating them in the
00:14:26
first place and if Look, even three
00:14:27
games into their careers, the
00:14:29
distribution of uh how efficient they've
00:14:31
been over those three games, you know,
00:14:33
it matches up pretty well with like how
00:14:35
well they end up doing in their career.
00:14:36
Surprisingly well with how well they're
00:14:38
doing in their career.
00:14:39
>> Really?
00:14:40
>> Yes. Yeah. So, you know, it's it's
00:14:42
something to look at. I'm probably going
00:14:43
to put something out after next week
00:14:44
where maybe I'll do the same thing
00:14:46
because I have the three the three weeks
00:14:47
of data and I could get more people in
00:14:49
Tennessee uh than this time mad at me
00:14:52
for for saying what's going on with
00:14:53
these quarters. But yeah, I mean, a lot
00:14:55
of the rookie quarterbacks who were were
00:14:57
outstanding, whether it's, you know,
00:14:58
Herbert or Dak Prescott or uh Russell
00:15:01
Wilson or, you know, these guys came
00:15:03
right out the box looking competent and
00:15:06
looking really good um as rookies,
00:15:08
>> but maybe you have to look more wisely
00:15:10
than the casual fan looks or even the
00:15:13
longtime fan looks. You're looking at
00:15:15
them a little more analytically. I
00:15:18
suspect you're probably trying to
00:15:19
condition out some things that affect
00:15:21
performance. So when you watch Cam Ward
00:15:24
say play two games in his NFL career so
00:15:27
far, what are you trying to focus on or
00:15:29
what are you trying to not focus on so
00:15:32
that you can see his ability most
00:15:34
clearly?
00:15:35
>> Well, I'm I'm I'm only looking at my
00:15:37
adjustments that I make to to
00:15:39
efficiency. So, you know, if there's
00:15:41
drops, I try to make an adjustment for
00:15:43
that. If there are, you know,
00:15:44
interception worthy throws that aren't
00:15:46
intercepted. if there are, you know, a
00:15:48
fumble, a sack fumble happens to be
00:15:50
taken back 80 yards for a touchdown,
00:15:52
that's kind of bad luck. So, so I'm
00:15:53
making some adjustments there, but I'm
00:15:54
also incorporating PFF grading into it.
00:15:57
And how I like to do things often is,
00:16:00
you know, you can model um it's a little
00:16:03
bit more opaque. It's it's it's
00:16:06
sometimes difficult to get to get your
00:16:07
head around on it. I like sometimes just
00:16:09
to visualize things. So, just if I
00:16:11
visualize a couple of different metrics
00:16:12
versus each other, look at the layout.
00:16:14
Look at where these other quarterbacks
00:16:15
have fallen even a few weeks into the
00:16:17
season, that's when I start to get an
00:16:18
idea of like, oh, there really is
00:16:20
there's something here. You can you can
00:16:21
get an idea that there's something here
00:16:22
just simply by glancing at it. Honestly,
00:16:26
>> what role do the surrounding cast play?
00:16:30
It's it seems like it's inevitable that
00:16:32
guys on worse teams look worse. I mean,
00:16:34
just offensive line alone, receivers
00:16:36
aren't getting open, that kind of thing.
00:16:37
How well are you picking up on that in
00:16:40
your numbers or or in the PFF grades?
00:16:43
>> Well, I mean, the grading probably tries
00:16:45
to control for that a little bit more
00:16:47
than than my numbers. Again, we have
00:16:49
drops and things like that or Yak um
00:16:52
yards after catch versus expectation.
00:16:54
So, maybe that could be something that's
00:16:55
like a scheme or a receiver type of
00:16:57
number that you can you can figure out.
00:16:59
So, it it does account for some of that.
00:17:01
But I mean, the thing is, even if you
00:17:03
look at quarterbacks who have um emerged
00:17:07
maybe later on in their careers, I don't
00:17:10
know, Gino Smith would be an example of
00:17:12
someone who had a poor surroundings and
00:17:14
then emerged later on. I don't know if
00:17:15
you want to say Baker Mayfield because
00:17:17
he was kind of up or down those first
00:17:18
few years and then, you know, the Browns
00:17:20
probably would have would have kept hold
00:17:22
of him if not for the fact that, you
00:17:24
know, at the time they thought Deshun
00:17:26
Watson was an elite quarterback who they
00:17:28
could who they were willing to upgrade
00:17:30
with. Um, there aren't a lot of guys. I
00:17:31
mean, I obviously you can go back to the
00:17:33
past like a Steve Young or something
00:17:34
like that. So, there are some guys who
00:17:35
go on to be like Hall of Fame level type
00:17:37
of quarterbacks, but even so, the guys
00:17:39
who emerge later and even Sam Darnold
00:17:40
we're talking about here. I mean, are we
00:17:41
really expecting that much better than
00:17:43
average quarterback play out of these
00:17:45
guys? Probably not. So, yeah, it
00:17:47
matters, but I think if you're truly
00:17:48
elite, you're going to get a hint of
00:17:51
something almost no matter who the who
00:17:53
the surroundings are because a rising
00:17:55
tide lifts all boats in this type of
00:17:57
scenario. If we're trying to predict how
00:17:59
surroundings will affect quarterbacks,
00:18:01
it's it's almost impossible to do. You
00:18:03
would have said that Caleb Williams had
00:18:05
the greatest surroundings coming into
00:18:06
last season and Jaden Daniels had
00:18:08
horrible surroundings and a bad
00:18:09
offensive coordinator and everything
00:18:11
else that people hated and then now, you
00:18:13
know, he looks like he has much better
00:18:14
surroundings. So, it's just really hard
00:18:15
to predict. And when you can't predict
00:18:16
something, I have difficulty figuring
00:18:18
out whether it's a real phenomenon or
00:18:20
not.
00:18:21
>> Okay. You you said something there that
00:18:22
I think might be a part of this
00:18:24
conversation that we're not focusing on
00:18:26
that matters and that is you said elite.
00:18:30
I think maybe what you're trying to
00:18:32
predict here is elite and what you're
00:18:34
saying if conditional on elite you're
00:18:35
going to see early separation and I
00:18:38
think a lot of the confusion over
00:18:40
quarterbacks in the last five six years
00:18:42
has been these guys who look like utter
00:18:45
trash to begin with and then they end up
00:18:47
being average or just above average kind
00:18:48
of quarterbacks like Sam Darnold for
00:18:50
example. And that that
00:18:53
>> Yeah, I'm sorry. And Dan Jones, maybe
00:18:55
Dan Jones and Baker Mayfield. Baker
00:18:57
Mayfield wasn't trash and he's not
00:18:59
elite, but he was like, you know, third
00:19:02
quartile and now he's first quartile or
00:19:04
something. It's like he he moved from
00:19:05
one part of the distribution to another.
00:19:07
It's all still kind of confusing to the
00:19:09
casual fans like, hold on, I thought
00:19:11
Mayfield was any good. I thought Daniel
00:19:12
Jones was any good. And and that is
00:19:14
maybe that's harder to predict and
00:19:16
you're talking more about No, I'm
00:19:17
talking about elite pops. Elite pop. if
00:19:19
it's going to be elite, it's going to
00:19:20
pop early. Do is that a fair
00:19:22
distinction?
00:19:23
>> Yeah. No, I think that that's a very
00:19:24
fair fair distinction. Yes. Not only the
00:19:26
the floor, but the ceiling that we're
00:19:28
talking about sometimes um with these
00:19:30
quarterbacks. And I mean, it's good to
00:19:34
it's better to be a fan of a team with
00:19:36
an average quarterback than with a poor
00:19:37
quarterback where you can almost write
00:19:38
off the season. And for instance, the
00:19:40
the Raiders, I think they one of the
00:19:42
reasons that they signed Gino Smith is
00:19:44
they said, "We've been so bad for so
00:19:45
long and had such inconsistent
00:19:47
quarterback play that, you know, getting
00:19:48
an average NFL quarterback is probably
00:19:50
more valuable to the Raiders than it
00:19:52
would be would be to another team." But
00:19:54
I think for most of the league, you
00:19:57
really have to be targeting this elite
00:20:00
quarterback play. That's the
00:20:01
differentiator, especially when we talk
00:20:04
about, you know, if we're not to get too
00:20:05
far into it, but we get into salary cap
00:20:07
and things like that, how much money
00:20:09
these averageish sort of quarterbacks
00:20:11
can make versus the elite quarterbacks.
00:20:13
They're just such a huge differential
00:20:15
there that I would I would just
00:20:16
overweight that that ability, you know,
00:20:18
finding that that top quartortile of
00:20:21
consistently top cortile type of
00:20:22
quarterback so far that I'm willing to
00:20:25
ignore maybe the he hey, he could still
00:20:27
be average. she could still be average
00:20:28
because then we're getting two, three
00:20:30
years into someone's career where you
00:20:31
could have been taking more shots at
00:20:33
someone who could be elite in the
00:20:35
meantime.
00:20:35
>> Okay. And just to be clear, what you
00:20:37
mean is the the the ability is very
00:20:40
different for relatively similar
00:20:41
compensation when you're talking about
00:20:43
versus, you know, middle, you know,
00:20:46
average quarterback is shockingly
00:20:48
similar. And so you want to play on that
00:20:49
inefficiency. Okay. Before we leave
00:20:51
quarterbacks, tell us some quarterbacks
00:20:53
that you think are misunderstood or
00:20:56
misjudged in the NFL right now in either
00:20:59
direction based on your analysis.
00:21:02
>> Um, let me see. So, the guys that I
00:21:05
would say are probably misunderstood
00:21:09
uh in a in a they're maybe a little bit
00:21:12
better than what some people think. I
00:21:14
mean, it's it's weird to say Dak
00:21:16
Prescott because maybe
00:21:18
>> he is someone who's making 60 million
00:21:21
million dollars a year. So, so he's not
00:21:23
exactly, you know, um
00:21:26
>> you know, out on the streets bouncing
00:21:28
around from team to team. But I think he
00:21:30
is someone who has performed very well,
00:21:31
at least by by my metrics, for a number
00:21:33
of seasons. And even early in his
00:21:35
career, I think he had a little bit of
00:21:36
struggles as a secondyear player. And I
00:21:40
don't know if it was because of his
00:21:41
draft capital, if it was because they
00:21:42
ran the ball so well with Ezekiel
00:21:44
Elliott as a rookie season, but he never
00:21:46
really got as much credit as he deserved
00:21:48
until then. So I do think he's a very
00:21:49
very solid quarterback, you know, with
00:21:52
the context that he's making uh lots and
00:21:54
lots and lots of money. Um so so that's
00:21:57
a guy that that I would put into that
00:21:59
bucket as maybe being a bit probably
00:22:01
being a bit better than you might think
00:22:02
there. Um another I would say is is
00:22:06
Jared Goff. I mean, again, it's probably
00:22:09
a similar type of situation where
00:22:12
I know people look at quarterbacks doing
00:22:14
what they're supposed to do on a play.
00:22:17
Um, making the right throw, making it
00:22:19
accurately, and they say, "Okay, you
00:22:20
know, that's a you do what you're
00:22:22
supposed to do. I'm going to move on to
00:22:23
the next play." But if you can do that
00:22:25
consistently and you can do that more
00:22:27
often than someone else, even if that
00:22:30
someone else can make a spectacular
00:22:32
play, maybe a little bit more often than
00:22:34
you can, uh, I just think it's
00:22:36
relatively underweighted as a as a
00:22:38
quarterback and it doesn't flow through.
00:22:40
Also, I mean, I love PFF, right? I used
00:22:42
to work there. I love everything that
00:22:44
that they do there. But, you know, they
00:22:45
also have a grading system that grades
00:22:47
the throws. Basically, there's a lot of
00:22:49
there's a lot of plays that just get a
00:22:51
zero grading on a play-by-play basis.
00:22:54
Now, a zero play could be, you know,
00:22:57
could be, you know, hit the guy in
00:22:58
stride and now he runs for another 50
00:23:00
yards afterwards, but it's like you did
00:23:02
what you were supposed to do. Or a zero
00:23:03
could be, you know, maybe you held the
00:23:05
ball a little bit too too long, but the
00:23:07
quarterback, but the the offensive line
00:23:09
also allowed pressure and you got
00:23:10
sacked, but we're going to say it was
00:23:11
the offensive line's fault or something
00:23:13
like that. So, you know, just doing what
00:23:14
you need to do under certain
00:23:15
circumstances is probably an undervalued
00:23:17
sort of category. So, Goff has shown
00:23:20
elite play. Like, he has actually done
00:23:22
that, even if you don't think he's a
00:23:23
consistent elite quarterback. So, I'm
00:23:25
not sure for all quarterbacks, even if
00:23:27
you put all the pieces around them, they
00:23:28
can do that. So, he's probably someone I
00:23:30
give a little bit more value than
00:23:31
others.
00:23:31
>> Okay. All right. We've been talking
00:23:33
about quarterbacks. One of the other
00:23:35
super important guys in the stadium that
00:23:39
are hard to understand, hard to value
00:23:41
are coaches. And increasingly, people
00:23:44
are trying to get at that a little bit.
00:23:46
Historically, we just kind of threw them
00:23:49
into the residual and said, "Well, maybe
00:23:51
the coaches help explain the residual."
00:23:53
That's true, but two things. There's a
00:23:56
lot of other things in the residual. Oh,
00:23:57
and by the way, they're in all these
00:23:59
numbers. They're in these stats. the
00:24:00
coach effects are in these stats that
00:24:02
that that that are showing up on the
00:24:04
field in some way. So, how do you get at
00:24:05
it? And, you know, it's, you know, we
00:24:08
So, how do you get at it? That's a broad
00:24:10
question. And tell us, tell us how
00:24:11
you're thinking about NFL coaches these
00:24:13
>> Yeah. Yeah. And I think um I could just
00:24:17
be behind the curtain here. So, I think
00:24:18
I I mentioned this as as a possible
00:24:20
topic because last week the the
00:24:23
narrative was John Harbaugh, this guy's
00:24:27
horrible. Like, I guess I don't know.
00:24:28
Don't ask me why. But this guy needs to
00:24:31
go.
00:24:31
>> Kevin, don't ask why. They've blown more
00:24:33
twocore leads over the last however few
00:24:36
years than anybody else. And the and the
00:24:38
Ravens fans have like suffered as a
00:24:40
result. So they will tell you that's why
00:24:43
it's the late game.
00:24:44
>> So that we so we heard this about Kyle
00:24:46
Shanahan the year before that they that
00:24:48
that they had this problem. So I guess
00:24:50
what ends up happening though is again
00:24:53
we have we have these stats, you know,
00:24:55
that they've blown a certain win
00:24:57
probability a certain number of times.
00:24:58
They've blown a certain number of score
00:25:00
lead a certain number of times. Um, you
00:25:03
know, things things of that nature.
00:25:05
Well, I mean, number one, it's kind of
00:25:07
like the fourth quarter comeback stat
00:25:09
for quarterbacks. How
00:25:11
>> well, if you're making a lot of fourth
00:25:13
quarter comebacks, you were also down in
00:25:15
games a lot. So, maybe you weren't
00:25:18
playing well going into it. So, there's
00:25:19
like a reverse element of that. If
00:25:21
you're losing a lot, well, that means
00:25:22
you you were ahead. And then the second
00:25:25
point I would make is, you know,
00:25:27
separating these things is really really
00:25:28
difficult. But I think what we know, at
00:25:30
least I believe what what we know is
00:25:32
that the players are more important than
00:25:33
than the coaches, right? Um just in in
00:25:36
whole. So anytime you're using a stat um
00:25:40
and you're saying, you know, John
00:25:42
Harbaugh has done X, you could very
00:25:44
easily say, you know, Lamar Jackson has
00:25:46
done X. And I think while it's not
00:25:49
necessarily right in either
00:25:50
circumstance, if you can pin it down,
00:25:51
you're probably going to be right more
00:25:53
often pinning something on on the
00:25:54
quarterback versus the coaches. So I
00:25:56
think what you have to do is you have to
00:25:57
just be able to assess what we can
00:25:59
assess. And there were some poor
00:26:00
decisions that he made in that game. But
00:26:03
we have to be, you know, we have to be
00:26:05
cognizant of how big of a difference
00:26:07
those decisions make. And normally they
00:26:09
make, you know, a few percent win
00:26:11
probability or something like that,
00:26:12
which can also swing on, you know, in
00:26:14
the course of a single play during a
00:26:16
game, too. So, I think it's it's you you
00:26:18
you apply blame and you say coaches
00:26:20
should should be optimizing these sort
00:26:22
of situations. We don't know a lot of
00:26:24
what's going on behind the scenes, but
00:26:25
if they've been consistently good, I'm
00:26:27
going to give them more credit for it.
00:26:28
Um, but we don't necessarily overweight
00:26:31
the coach's decisions versus what's
00:26:33
going on with the with the players on
00:26:35
the field.
00:26:36
>> Yeah. I mean, I I on the one hand, I
00:26:38
agree the things that we focus on as
00:26:40
analysts tend to be relatively small
00:26:42
potatoes. um you know, fourth down
00:26:44
conversions and two-point attempts and
00:26:46
most of those are relatively small. On
00:26:48
the other hand, the hypothesis, as you
00:26:50
know very well and and preach is that
00:26:53
that if they're consistently good or bad
00:26:56
at that stuff, it probably indicates
00:26:58
other stuff like they probably go about
00:27:00
their business and on other domains
00:27:02
behind the scenes poorly or well. So,
00:27:05
it's kind of a sign.
00:27:07
Do we see coaches who are consistently
00:27:11
good or bad on the few clear signals we
00:27:13
get? I know there's there's a lot of
00:27:16
noise. Even even the coaches that we
00:27:19
think are advanced tend to be a little
00:27:21
inconsistent. So, do we see much
00:27:23
regularity on either side of that?
00:27:26
>> Yeah, I I think I think there is there
00:27:28
is some consistency, but like you said,
00:27:30
there's a ton of noise to it. um even
00:27:33
the coaches that you believe may be just
00:27:36
constitutionally conservative or
00:27:38
aggressive and more more aggressive or
00:27:40
more analytical if you want to call it
00:27:41
that in some of these circumstances can
00:27:44
be highly affected by things like a
00:27:46
kicker missing a couple of field goal
00:27:49
attempts in a row. Um, and and so that
00:27:52
that can be a big big deal. And I think
00:27:54
for for again the stuff that we don't
00:27:56
see, there have been studies, one of
00:27:58
them by Andrew Healey who works at at
00:28:00
the Browns, there have been studies that
00:28:01
have shown, you know, a winning head
00:28:03
coach in the past is the most reasonable
00:28:07
bet you can make as to who will be a
00:28:10
good head coach in in the future versus
00:28:12
good offensive coordinators and other
00:28:14
things. So I think that's it's also hard
00:28:15
when you're looking at what happens
00:28:17
within a game. So, in other words,
00:28:19
comebacks within a game, things like
00:28:20
that. Because what what these coaches
00:28:21
are probably doing is not really like
00:28:24
the within the game stuff. It's
00:28:25
organizing the staff. It's managing
00:28:27
people. It's knowing how to lead a team.
00:28:31
And what does that have to do with a 90%
00:28:33
win probability? I mean, maybe it has
00:28:34
something to do with preparation or
00:28:36
something, but probably not. It's
00:28:37
probably all the stuff that you're doing
00:28:39
during the during the week that's making
00:28:40
a huge huge difference. So, that's
00:28:42
another reason I kind of discount maybe
00:28:44
the in-game stuff when we're talking
00:28:45
about head coaching, who's really like
00:28:47
the CEO in a way of the organization.
00:28:49
>> Yeah, it's they're so that job is so
00:28:51
highly dimensional. I mean, that the
00:28:53
guys who make those hires, it's so it's
00:28:55
it's not just highly dimensional, but
00:28:57
like unrelated dimensions, possibly
00:28:59
negatively related dimensions. I mean,
00:29:00
it's a it's a really hard job, but I'm
00:29:02
not going to let you off the hook that
00:29:03
easy. If you were a GM and you could
00:29:06
bring in, you know, any one of NFL
00:29:10
coaches or, you know, past No, no. One
00:29:12
of the existing 32 NFL coaches, who
00:29:15
would you bring?
00:29:15
>> Okay. I can't bring Vince Lombardi back.
00:29:17
>> Oh, you can't go You can't go to the
00:29:18
past. Of the 32, who's top of your list?
00:29:22
If you're the GM,
00:29:24
>> it's a good it's a good question. Um
00:29:28
>> because so far you've been kind of
00:29:29
saying we can't tell
00:29:31
other than the guys have won in the
00:29:33
past.
00:29:34
>> That that is a good that's a good I'm
00:29:36
trying to think. I don't I want to make
00:29:37
sure I don't I don't get this I don't
00:29:39
get this wrong. So let me let me think
00:29:40
here. I mean it's easy to say Andy Reid,
00:29:43
but why not? you know, we have we have
00:29:46
we have someone who's been successful at
00:29:48
two different organizations, which
00:29:49
again, it's it's two, but it's, you
00:29:51
know, it's it's it's a lot more than one
00:29:54
organization, I guess, when we have
00:29:55
something like that. So, so I guess I
00:29:57
would put him there, but you know, I put
00:29:59
someone like John Harbaugh right in that
00:30:02
same sort of sort of category. So, he
00:30:04
would be someone who would be up there.
00:30:06
I mean, Shawn Payeyton was someone who I
00:30:08
said I thought he was going to be a
00:30:09
great hire for for the Broncos. So, he's
00:30:11
he's an interesting guy. I mean, even
00:30:12
his brother, Jim Harbaugh, I thought
00:30:14
that he would also be a good a good
00:30:16
hireer. I don't know, just guys who have
00:30:18
really had that that level of success.
00:30:21
Um, without saying that they were
00:30:23
completely reliant maybe upon uh high
00:30:26
level quarterback talent or something
00:30:28
like that, although that that doesn't
00:30:30
hurt.
00:30:31
>> Okay, good. Just very reasonable. Very
00:30:33
reasonable. And it's shockingly
00:30:35
unanalytical. Well, you've taken us to
00:30:37
the simplest of all base rates. Just
00:30:38
past past win record conditioning out
00:30:40
like some stellar quarterback situation.
00:30:42
That's it's really interesting. Okay,
00:30:44
we're going to have to let you go, but I
00:30:46
do want to ask one question on behalf of
00:30:47
Audi Winer. You're a good person to ask
00:30:49
this because you do you know we're
00:30:52
talking about quarterbacks and coaches,
00:30:53
but you also take a look at front
00:30:55
offices.
00:30:57
Why are the New York Jets so terrible?
00:31:00
Can you just can you explain especially
00:31:02
to our friend Audi who we recruited back
00:31:04
into the football world but he came on
00:31:06
this he came tethered to the Jets and
00:31:08
now I feel guilty that we've drugg him
00:31:10
into the football world while he's
00:31:11
tethered to that organization. Can you
00:31:13
explain to us the New York Jets?
00:31:16
>> So, you know, you have this we have this
00:31:18
like normal distribution, right? So,
00:31:20
somebody's got to be down there, right?
00:31:22
Somebody has to be down there.
00:31:24
>> Kevin, that's not true persistently.
00:31:25
They don't have to persistently be
00:31:28
>> and in a long enough his even in a long
00:31:31
enough timeline, you know, uh maybe
00:31:33
we're we're maybe we're getting into,
00:31:35
you know, monkeys pounding on keyboards
00:31:36
and doing the complete work of
00:31:38
Shakespeare type of timeline. Yeah.
00:31:40
>> Um
00:31:41
>> but yeah, I mean I I put it down to that
00:31:45
more than anything because it's not like
00:31:46
they haven't taken shots, I guess, at
00:31:48
quarterback, but it's really a
00:31:49
quarterback issue, right? Like if we're
00:31:51
if we're saying again, I guess I'm going
00:31:53
to default back to the players on the
00:31:55
field versus necessarily the coaches and
00:31:57
the GM, you also look and you say like
00:32:00
who have they had at quarterback since
00:32:04
uh I don't know, Joe Nameoth or
00:32:06
something like like who have they really
00:32:08
had who could be an elite type?
00:32:10
>> Well, what once you start focusing on
00:32:12
quarterback, I don't even think they're
00:32:13
the team with the worst history.
00:32:14
something like the B the Bears could e a
00:32:16
Bears fan could easily argue
00:32:19
specifically quarterback that they've
00:32:21
had an even worse history than the Jets.
00:32:22
I mean, the Jets, I think, are maybe
00:32:25
worst five in in
00:32:28
>> Am I remembering right, the great the
00:32:30
great quarterback draft of 83
00:32:32
was uh um Elway and ends with Montana
00:32:38
and Kelly's in there, but then there are
00:32:41
three others and one of them, I think,
00:32:42
went to the Jets. So, they were in that
00:32:44
draft. Is that right? Who was who was
00:32:46
the Jets quarterback drafted in 83? I
00:32:49
>> think it was Ken O'Brien, but he was the
00:32:51
24th overall pick I'm looking at here.
00:32:53
So, not that
00:32:54
>> was ahead of Marino. Marino was after
00:32:56
that.
00:32:57
>> Correct. Marino was after that, but you
00:32:58
know, a lot of teams seem to mess up. I
00:33:00
guess it just when it comes to the Jets,
00:33:02
we have, you know, we have, you know,
00:33:05
Zach Wilson number number two pick. Sam
00:33:07
Darnold number three pick.
00:33:09
>> Uh Mark Sanchez number five pick over
00:33:13
>> Chad Pennington was pretty good.
00:33:14
Remember Chad Pennington?
00:33:16
>> Chad Pennington was
00:33:17
>> I say he was decent. I mean I mean again
00:33:19
during the Brady years it was kind of a
00:33:21
tough slog you know that was even
00:33:23
>> can I get some context here how bad are
00:33:26
the Jets in sort of standard deviations
00:33:28
are they
00:33:29
>> two what period of time
00:33:31
>> or five
00:33:33
>> no not five not five
00:33:34
>> no so where are they how I mean it's it
00:33:37
feels horrible but I'm biased so what
00:33:39
what is in our in our adult life let's
00:33:41
just let's call us an average of I don't
00:33:44
know I don't want to impugn Kevin too
00:33:45
much let's call us an average of 50. Me
00:33:48
and Audi gonna take you guys down. Um,
00:33:50
so the past 30 years, the past 30 years,
00:33:55
>> what do you think the Jets are win loss
00:33:57
record versus the league? Minus one and
00:34:00
a half standard deviations.
00:34:04
>> I feel like they haven't even
00:34:05
necessarily I mean I mean I I guess
00:34:07
maybe bottom third team, but I wouldn't
00:34:09
put them much below that when there's
00:34:11
teams like the Browns and stuff like
00:34:12
that. What they've done over the last 30
00:34:14
years.
00:34:15
>> Yeah. Yeah. the Browns, the Jags
00:34:17
probably are another
00:34:18
>> I mean look at the Lions up until a few
00:34:20
years ago and I mean that's the hope you
00:34:22
have. I mean you know any any team can
00:34:24
have a 40 50 86 year run of terribleness
00:34:28
right and then turn it around. So
00:34:31
>> you're right the recent history you know
00:34:34
it's like the last 15 years your one
00:34:36
winning season was when Ryan Fitzpatrick
00:34:39
had a had a great season. So, you know,
00:34:41
yes, you're right. The last 30 years, if
00:34:43
you weight them all equally, but if
00:34:45
you're waiting the last 15 years a
00:34:47
little bit more heavily than the prior
00:34:48
15 years, that's when the Jets start to
00:34:50
look.
00:34:50
>> That's true. And that's what that's the
00:34:51
Wharton Moneyball relevant window. We
00:34:53
could just say last, you know, this is
00:34:54
12 seasons that we've had Wharton
00:34:56
Moneyball that we drug Audi into this
00:34:58
world and he's just been beat about the
00:34:59
B.
00:34:59
>> They haven't had a winning record in all
00:35:01
that time.
00:35:02
>> Yeah. Okay. That's we're going to start
00:35:04
working with the with the with the
00:35:05
Wharton Moneyball era. I think that'll
00:35:07
quickly become a thing, the Wharton
00:35:09
Moneyball era. Um, all right, Kevin, we
00:35:11
should let you go. Thanks for making
00:35:13
time for us. Always, always enjoy the
00:35:16
conversation.
00:35:17
>> Thanks for having me.
00:35:18
>> Kevin Cole, pick him up on Unexpected
00:35:21
Points. Says, "Subsack Unexpected Points
00:35:22
is fantastic reading if you're
00:35:24
interested in analytics and the NFL and
00:35:27
you can catch him here periodically and
00:35:28
many other places." Kevin Cole, welcome
00:35:31
back to Wharton Moneyball. Welcome back
00:35:33
to the second half of this week's show.
00:35:35
An open line segment with Kade Massie,
00:35:37
Audi Winer, and Shane Jensen. Some
00:35:40
chance our buddy Eric Bradloow slides in
00:35:42
here after he wraps up some business on
00:35:44
campus, but probably not. We'll probably
00:35:47
have to wait another week to catch Eric.
00:35:48
Dion Simpkins, running the show behind
00:35:50
the scenes. It just struck me, guys.
00:35:51
Dion counts us in. You know what Dion
00:35:53
does in his spare time? He plays drums.
00:35:56
He counts musicians in all the time. I
00:35:59
didn't realize after 11 enough years
00:36:00
that he's doing the same thing with us
00:36:02
that he does with his bands. Counting us
00:36:04
in. Dion Simpkins. We depend on him. Big
00:36:06
Eagles fan. Dion. Big Eagles fan. He's
00:36:09
had a good run lately. Audi at the break
00:36:12
was musing about the Eagles. We're just
00:36:15
off the line with Kevin Cole. We talked
00:36:17
NFL for half an hour, first half of the
00:36:19
show, and Audi is musing about the
00:36:21
Eagles. What do you got, Odd? What are
00:36:22
you worried about?
00:36:23
>> Yeah. So I I just um recalling a couple
00:36:26
years back actually maybe maybe many
00:36:28
years back I built a model to predict
00:36:30
next year's performance given the past
00:36:33
that was incredibly simple and it
00:36:35
essentially took two elements last
00:36:37
year's performance and the average of
00:36:38
the three years and it was a really good
00:36:41
predictor. It is about almost as good as
00:36:43
the odds which the current odds which
00:36:46
are which are which are very updated in
00:36:48
their in their data and should be much
00:36:50
better because they have information.
00:36:52
And so I asked the question um given our
00:36:56
discussion with with with Kevin that the
00:36:58
Eagles don't seem to be one of the top
00:37:00
three or even five teams um in the
00:37:03
league right now. And what happened to
00:37:05
the Eagles over the break that my simple
00:37:08
model would have missed? They've already
00:37:10
now won two games. And maybe it's
00:37:11
because they didn't look too impressive
00:37:12
in the two games. Is that what it is? Or
00:37:14
is it that something happened over the
00:37:16
offense? So, can I do one one quick bit
00:37:19
on your model before we go to the
00:37:21
Eagles? So, in terms of just ordering, I
00:37:24
can imagine that that would do well, but
00:37:26
in terms of
00:37:27
>> variance explained, it can't do that
00:37:29
well, right? Is is my memory of the
00:37:32
persistence of records is that there's a
00:37:34
fair bit of regression to the mean. Like
00:37:36
maybe maybe a third of the record
00:37:39
persists.
00:37:41
>> Well, yeah. You know, no, there's a
00:37:42
coefficient that cuts them down. It's
00:37:43
just the inputs to the model were just
00:37:45
those two.
00:37:45
>> Yeah. Yeah. I don't know. I I mean I
00:37:47
don't know if I mean Kate you could
00:37:48
maybe correct me if I'm wrong. I don't
00:37:50
know if there's that many power rankings
00:37:51
that have the Eagles out of the top five
00:37:53
in the league. I mean I think
00:37:55
>> but not one
00:37:56
>> one Well yes one could right several I
00:37:59
mean but you know I I think probably the
00:38:01
teams the two teams at the top of last
00:38:04
year's power rankings I bet weren't in
00:38:05
the Super Bowl. It's probably the Bills
00:38:07
and the Ravens, you know. So I I I so
00:38:11
you know I think maybe
00:38:14
>> I I I think there's some top teams out
00:38:16
there that obviously you know weren't in
00:38:17
the Super Bowl last year.
00:38:19
>> I think what you're saying they weren't
00:38:20
the best team last year by the
00:38:22
>> by the by the power. They might well not
00:38:25
have been. I think the Ravens were
00:38:26
probably top.
00:38:28
>> I think that's right. But, you know, I
00:38:31
think some people have talked about
00:38:32
there may be ways that they play that
00:38:35
are outside of good models.
00:38:38
>> Like for example,
00:38:39
>> certainly I I think
00:38:40
>> the tush push people the tush push is a
00:38:42
a quality of their team that's just not
00:38:44
picked up and that might be
00:38:47
>> substantial that it might be enough. It
00:38:48
might be significant. It might be enough
00:38:49
to to make
00:38:51
>> I actually we were actually talking
00:38:52
about that at lunch over our analytics
00:38:54
meeting. the fourth down play where you
00:38:57
can increase your your conversion
00:38:59
probability as significantly as the
00:39:01
Eagles can do it with the tush push from
00:39:04
probably low 70s to mid 90s at a with a
00:39:07
play that has that much leverage. I
00:39:09
mean, think about in football a fourth
00:39:12
down play has incredible amount of
00:39:14
value. That's just I think that's just
00:39:17
not captured.
00:39:18
>> Then it's not even it's more than that
00:39:20
because I mean basically if they can get
00:39:22
like seven yards on first down it's a
00:39:25
guaranteed it's guaranteed they will
00:39:28
>> right because they've got one or two
00:39:30
like you I mean maybe you stop the push
00:39:31
push once you cannot stop it two three
00:39:34
times in a row. It's just not doable. So
00:39:36
it's kind of a cheat code.
00:39:38
>> Okay. So that I'd be interesting to
00:39:39
know. We I we it'd be fun to have a
00:39:42
modeler who's tried to work on that and
00:39:43
ask how much difference does that make?
00:39:45
Like what are we missing? What are the
00:39:46
traditional models missing by not having
00:39:48
>> the the other thing with the Eagles that
00:39:50
I think gives them kind of has given
00:39:51
them at least observationally a positive
00:39:53
residual the last few years is they have
00:39:56
a defense that always shows up against
00:39:59
good QBs. And I think that's kind of
00:40:01
exceptional. I saw somewhere, I think
00:40:02
maybe it was on Reddit, that since the
00:40:04
start of the 2023 season, the Eagles are
00:40:07
9 and0 against teams with like a top
00:40:10
tier QB. The the tiers here are defined
00:40:13
by the athletic. I'll tell you who they
00:40:15
are. Allen, Burrow, Jackson, Mahomes,
00:40:18
Stafford.
00:40:19
>> Yeah.
00:40:19
>> And against those teams, Rams, Chiefs,
00:40:22
Bills, Bengals, Ravens, the Eagles have
00:40:25
are nine and0 since the start of the
00:40:27
2023 season.
00:40:28
>> That's absurd. So sort of exceptional
00:40:30
performance against top talent.
00:40:34
>> Can I throw out another possibility?
00:40:36
This is again related to the tush push.
00:40:38
Isn't the EPA per play becoming a
00:40:41
dominant measure? And EPA per play is
00:40:44
expected points added per play. And if
00:40:47
you have if you can extend your your
00:40:50
plays because you can because you have
00:40:52
the tush push to convert short ones,
00:40:54
you'll have a lower average EPA per play
00:40:57
because you have more plays in your
00:40:59
possessions. And that might be something
00:41:02
that is that is not being accounted for.
00:41:04
Um or is EPA because I'm hearing EPA per
00:41:07
play everywhere these days. And I always
00:41:08
found that a little bit odd because
00:41:10
shouldn't it be EPA per possession? But
00:41:12
that's not the right thing. That's
00:41:13
>> Yeah. I I I also don't I don't work like
00:41:15
as much with EPA as kind of like a a
00:41:18
modeler would, but like uh I would
00:41:21
assume that like you'd want to first of
00:41:23
all cut out like EPA per play on passing
00:41:25
versus rushing like you you know you you
00:41:27
I I think there's certain like kind of
00:41:29
ways of subsetting the data where you
00:41:31
that would make it a lot easier.
00:41:33
>> So So Kade, what is your way in this APA
00:41:35
per play? What is your you know do you
00:41:37
see the problem as I see
00:41:38
>> I thought you were going somewhere that
00:41:40
you that you didn't go and I turned my
00:41:42
attention somewhere else for a moment
00:41:44
and I realized that you had gone
00:41:46
someplace unexpected. So restate your
00:41:48
issue with EPA.
00:41:50
>> My EPA EPA So EPA per play is expected
00:41:53
points added on a per play basis. That
00:41:56
seems to
00:41:59
favor
00:42:00
um teams that get it done quickly as
00:42:03
opposed to teams that ek out a little
00:42:05
extra play expected value over many
00:42:08
plays because then your EPA per play is
00:42:10
going to be lower as opposed to with big
00:42:12
big plays and moving the ball quickly
00:42:15
down the field. But it's expected
00:42:16
points. So that doesn't it automatically
00:42:18
adjust for fourth down? Like a fourth
00:42:20
and two being more like two yards on a
00:42:22
fourth down would be actually more
00:42:24
highly valued than for two yards on a
00:42:26
first. Yeah. You know, so it almost
00:42:27
maybe rewards for getting stretching it
00:42:30
out into those fourth downs.
00:42:31
>> So you don't you don't So the issue is
00:42:34
it's if you if you get a little bit of
00:42:37
value on a lot of plays, you get you to
00:42:39
the same place as getting a bunch of
00:42:42
values on a fewer number of plays. So I
00:42:45
so it's a interesting question and I
00:42:47
don't I don't have the goods on it but a
00:42:48
couple of observations. I I think
00:42:51
there's I suspect that
00:42:54
that if you're just barely ekking it out
00:42:56
that that that there's information in
00:42:58
that and that and and the chance of
00:43:00
stringing a bunch of those together
00:43:02
breaks down. Um on the other the other
00:43:04
end is is true as well. Like big
00:43:07
explosive plays are not very predictive.
00:43:10
they they matter a lot in the outcome of
00:43:12
the game, but they don't tend to
00:43:13
persist. But there I think where I think
00:43:15
what EPA captures well is kind of that
00:43:17
middle ground where you're in general
00:43:18
you're you know you're getting chunks
00:43:21
you're just getting chunks at better
00:43:22
rates than other people. The I think
00:43:25
your argument would break down Audi
00:43:27
because I I think if you're just ekking
00:43:29
it out it's like teams that barely win
00:43:31
games there's not this special thing
00:43:33
about being able to win. They're just
00:43:35
generally
00:43:36
>> or you're you're almost talking about
00:43:38
like what would be the strategic value
00:43:39
in a team basically just tush pushing
00:43:41
the whole time like what happened if
00:43:43
that was the only thing they did?
00:43:45
>> Yeah.
00:43:46
>> And how they kind of crawl could you
00:43:48
crawl down the field basically like
00:43:50
that?
00:43:50
>> What I'm conjecturing is is there a team
00:43:52
for which EPA per play doesn't capture
00:43:55
their value?
00:43:56
>> That's essentially the question. And
00:43:58
what would it look like? And what I
00:44:00
would argue is it's a team that has this
00:44:02
ability to to get a couple yards when
00:44:04
they need it on a really regular basis.
00:44:06
>> Yeah.
00:44:06
>> And really what you're talking about
00:44:08
there I think is well what's not being
00:44:10
captured by the EPA the expected value
00:44:12
is how much variation like at the team
00:44:15
level how if a team really vary you know
00:44:17
there is a team that could consistently
00:44:19
get that expectation every time would be
00:44:22
valuable. Exactly. Low variance in the
00:44:24
in in the very low E small EPA but low
00:44:28
low variance. the question. Okay. Well,
00:44:31
now you've now you can go look at data
00:44:33
to see whether there is such a thing,
00:44:34
whether that is a trait of a team,
00:44:36
whether that's a consistent thing.
00:44:38
>> Sure. I mean, we must observe it
00:44:40
sometimes, but is it just by chance or
00:44:41
is it persist? Is is that it would be
00:44:43
tied to, you know, the style of play or
00:44:46
really good quarterbacking maybe? Um,
00:44:49
but I think it's an interesting
00:44:50
question, guys. We should talk about
00:44:52
something besides NFL. We've been doing
00:44:53
NFL for pushing threequarters of an hour
00:44:55
now. So, of course, let's talk about
00:44:57
college football. Um,
00:45:03
>> come on. Get a little baseball. Yeah.
00:45:05
>> Was a player of the week in the American
00:45:06
League last week. Hold on. Give me Give
00:45:08
me
00:45:09
>> Let me just before we transition before
00:45:11
we transition to baseball, let's What do
00:45:12
we have to say about football, college
00:45:15
football? Um,
00:45:17
>> I don't know, just as a summary, I I
00:45:20
looked at the title odd. So, we're we're
00:45:22
three weeks into the college football
00:45:24
season, four if you count week zero, but
00:45:26
mostly three weeks in. And the title
00:45:28
odds, the the remarkable thing about the
00:45:30
season so far is that it still seems
00:45:32
quite open. So the title odds are quite
00:45:34
flat at the top still, but I was curious
00:45:37
where they were. And what the most
00:45:39
interesting thing to me is that the top
00:45:40
three teams, the shortest odds right
00:45:43
now, Tuesday afternoon, are Ohio State,
00:45:45
Penn State, and Oregon, who are all
00:45:47
members of the Big 10, which is a little
00:45:50
bit surprising. And I and I think that's
00:45:52
because there's not much else going on
00:45:54
in the Big 10. like we can be pretty
00:45:55
dang sure those three teams are going to
00:45:57
make the playoffs. More confident than
00:45:59
any three teams in the SEC and I think
00:46:02
that's where their advantage is coming
00:46:04
from. But it's it's it's interesting and
00:46:07
kind of unique that you have Ohio State,
00:46:08
Penn State, Oregon at the top of the the
00:46:11
odds board.
00:46:12
>> And it's kind of interesting because
00:46:13
normally you would sort of say like you
00:46:14
know like
00:46:16
>> because because the foot because the
00:46:18
playoffs are more open now and their
00:46:20
path doesn't necessarily exclude each
00:46:22
other. they don't they're not competing
00:46:23
for the same kind of allocation. Before
00:46:26
like when we were talking about kind of
00:46:27
the football odds, I was surprised that
00:46:28
the Bills and Ravens were like the top
00:46:30
two just because they kind of they have
00:46:33
to go through each other basically.
00:46:34
>> That's exactly right. So, and so I I
00:46:36
think that's I think that's that that
00:46:38
and the and the different the difference
00:46:40
in the Big 10 versus the Big 12. If you
00:46:42
look at the not the Big 12, the SEC SEC
00:46:44
has six of the top 10. Eight of the top
00:46:46
14. I mean, that's just absurd. Eight of
00:46:48
the top 14. It's just incredible. ACC
00:46:52
has three teams in the top 20. I'm
00:46:54
talking about top 20 shortest odds to
00:46:56
win the championship. But the highest
00:46:58
one is Miami. Miami at eighth. And then
00:47:01
the Big 12, the fourth of the four
00:47:05
divisions, really the power four
00:47:06
divisions have two teams and they are
00:47:08
18th and 20th. So Texas Tech,
00:47:12
get your guns up. Red Raiders, highest
00:47:14
rated odds team for the championship in
00:47:17
the Big 12 at 18th and Utah just a
00:47:19
little behind them. By the way, that's a
00:47:21
good promotion. That's a game this
00:47:23
weekend. Texas Tech at Utah. So, at the
00:47:25
top of the Big 12 and if you can if you
00:47:27
if you're interested enough in college
00:47:29
football to be interested in the Big 12.
00:47:30
Good Big 12 match up there. And a second
00:47:32
one, ASU, Arizona State going into
00:47:35
Baylor. So, a couple of big Big 12
00:47:37
matchups this weekend.
00:47:38
>> How much title probabilities left over
00:47:40
by the time you get down to the 18th or
00:47:42
19th ranked team by probability?
00:47:44
>> Not enough to worry about. How's that? I
00:47:45
think three weeks in.
00:47:47
>> Right. Right. Don't don't buy be buying.
00:47:49
>> Yeah. Right. And like even even when
00:47:51
you're talking about winning the whole
00:47:52
damn thing, Shane, I think we can ignore
00:47:55
after 20 even before the season begins.
00:47:57
We the guys are going to make the
00:47:58
playoffs that come out of the top 20,
00:48:00
but they're not going to win the thing
00:48:01
coming out of the top 20. I, you know,
00:48:04
it'd be nice to know how much how many
00:48:05
teams you need pretty flat right now.
00:48:07
How many do you need to capture 50% of
00:48:10
the probability? Audi could run some
00:48:13
odds conversions for us real quick, but
00:48:15
you're gonna need, you know, you're
00:48:17
gonna need four or five teams, which is
00:48:20
unbelievable in college football that
00:48:22
you would need that much to capture 50%
00:48:24
of the probability. It's just not been
00:48:27
that flat in a long time. Um, all right.
00:48:31
The we have a lot of good games, but
00:48:33
there aren't like monster games on the
00:48:35
college football side. NFL is a lame
00:48:37
lame schedule this week. Let me just say
00:48:39
Detroit of Baltimore Monday night is the
00:48:41
the headliner I believe. But even the
00:48:43
Lions are six and a half point dogs
00:48:45
going into Baltimore. Okay, that's
00:48:48
football. Football. What about baseball,
00:48:50
guys? What do you got? We got the home
00:48:52
run race, I think, is the most
00:48:54
interesting thing right now. No. Or at
00:48:55
least the number
00:48:56
>> I'm looking at I'm looking at two
00:48:57
forecasts I made many months ago and as
00:49:00
as they're starting to resolve, they had
00:49:02
huge uncertainty anyway. So, it's not
00:49:04
exactly as if if losing is great, but I
00:49:07
did predict Cal Riley at 57.
00:49:11
>> Um, so, um,
00:49:13
>> he slowed down a bit. He's still I think
00:49:15
he's still stuck at 54.
00:49:17
>> And I had and I predicted Judge at
00:49:20
around 323
00:49:22
months and months ago is his final
00:49:24
batting average. Um, so Judge has been
00:49:27
hot. So, he's got 48 homers. I think he
00:49:29
hit five in six games or something. um
00:49:32
after being being on the disabled list.
00:49:34
So that does it does ask the question
00:49:36
who's going to win the MVP in the in the
00:49:38
American League
00:49:39
>> um judge.
00:49:40
>> You think it's an automatic judge?
00:49:41
>> Yeah. I mean
00:49:42
>> if I had to actually
00:49:44
>> all the all the rate numbers argue
00:49:46
guys before you go too fast pass the
00:49:48
home run because y'all go in MVP and now
00:49:50
I need more dimensions than I'm paying
00:49:52
attention to. Home run's real simple.
00:49:53
It's real simple for like simple distant
00:49:56
baseball fans like me. We see some guys
00:49:58
here. We see some numbers. They're all
00:49:59
around 50, which is amazing. Do you have
00:50:02
anything else to say here? I mean, I I
00:50:04
remember y'all being y'all poo pooing
00:50:06
that Judge wasn't going to win the thing
00:50:07
before he got injured. And now that he's
00:50:10
back, he's making a good run at it. But
00:50:12
if we get all five of these guys over
00:50:14
50, how how unprecedented is that? That
00:50:17
is unprecedented.
00:50:18
>> Well, I mean, yeah, if if we were to get
00:50:20
five, uh, that it would be the first
00:50:22
time in baseball history that that had
00:50:24
happened a couple times.
00:50:25
>> Suarez is at 45. We only have two weeks
00:50:27
left. That might not happen. What if you
00:50:29
say four?
00:50:30
>> So, the only two previous times that
00:50:31
we've had four in history were both kind
00:50:34
of steroid era. I think it was 99 and
00:50:37
2001. I could list off the guys
00:50:39
involved, but it's, you know, Bonds,
00:50:41
Magguire, those those dudes. Okay.
00:50:42
>> Uh um so this would be certainly the
00:50:45
first non steroid era kind of instance
00:50:48
even of four.
00:50:49
>> And the fun, you know,
00:50:50
>> the fun thing here is that no, nobody
00:50:52
would be surprised at Schwarber Otani
00:50:54
Judge being at the top. I mean that's
00:50:55
those are like those are like straight
00:50:57
out of the you know top of the queue but
00:50:59
then
00:50:59
>> perennial perennial home run hitters
00:51:02
>> but then Raleigh is actually leading the
00:51:03
list and it's just I think it's been one
00:51:05
of the great stories. Um I I I'd love to
00:51:07
see a good backstory on that whole
00:51:08
thing. Um
00:51:10
>> see the the reason why I'm I mean so
00:51:12
what makes Judge different than the
00:51:14
others is he has an OPS of 1150 or
00:51:17
something. His b his batting average is
00:51:20
almost 100 points higher than Raleigh.
00:51:22
his on base percentage is 100 points
00:51:24
higher and if you watch you he's just
00:51:26
always on base and uh it just
00:51:29
>> he's one of the greatest regular season
00:51:30
players we've ever seen.
00:51:32
>> Yeah, thank you very much. He just comes
00:51:36
out and got him.
00:51:39
>> And there you have it. There you have
00:51:41
it.
00:51:41
>> Um but uh but so it's hard not to look
00:51:44
the other way. On the other hand,
00:51:46
Raleigh's doing it a catcher. And that
00:51:47
is, I think, the position that is most
00:51:51
poorly
00:51:52
valued because it's the only position
00:51:55
where you can have an enormous gap
00:51:59
between number one and number two on the
00:52:01
offensive side. You just don't see that
00:52:03
at first base or the outfield or even
00:52:06
shortstop. You third, you just don't see
00:52:09
one guy having that good a season
00:52:12
relative to who's two. which means it's
00:52:15
just an automatic competitive advantage
00:52:17
that doesn't exist in any other
00:52:20
position. And I don't know how people
00:52:22
properly evaluate that. I'm not saying
00:52:25
>> I guess the way the way I think about
00:52:26
which I think is mostly just
00:52:27
paraphrasing you is that I think it's
00:52:30
catcher is such a difficult position
00:52:32
fielding wise both grueling in terms of
00:52:34
like the stamina involved as well as the
00:52:37
g the various intricacies of both of
00:52:39
both throwing as well as game calling.
00:52:41
there's so it's the closest thing to
00:52:43
kind of an onfield coach that you have.
00:52:44
So there's all kinds of that skill set
00:52:46
and then to also have that and be a
00:52:49
great hitter. It's just I think more
00:52:50
rare to see that kind of combination of
00:52:53
skills involved. And that's why, you
00:52:55
know, when you look at Hall of Fame
00:52:57
hitters, you know, and and you're
00:52:59
comparing across positions, obviously
00:53:00
the catchers don't necessarily look on
00:53:02
paper as well because we're kind of
00:53:03
baking that into our evaluation, I
00:53:06
think. And so when somebody like Cal
00:53:07
Rally stands out or Joe Mau a few years
00:53:10
Joe Mau won MVP I think as a catcher um
00:53:12
you know sometime when they kind of do
00:53:15
go off like this I do I agree with Audi
00:53:17
it really stands out in in a way that
00:53:19
kind of you know
00:53:20
>> Yeah
00:53:23
sort of norm for Judge doing what he
00:53:24
does every
00:53:25
>> Yeah. So body talk about how the how we
00:53:27
so that all makes a lot of sense to me
00:53:28
and you're saying it's not capt like as
00:53:30
as good as baseball is capturing value
00:53:32
they're missing that
00:53:34
>> they're they're missing that because
00:53:35
they sort of they they so everything is
00:53:38
additive right so you you don't
00:53:40
recognize that you have to have a
00:53:42
catcher you can't you got to do it right
00:53:45
so there is no way if you have Cal Rally
00:53:48
on your team doing what he does no other
00:53:51
team every team is at a big deficit
00:53:54
automatically out out the gate relative
00:53:56
to the team that
00:53:57
>> shouldn't that be captured in war if
00:53:58
it's war is position specific
00:54:00
>> if they could do kind of
00:54:03
yeah I I mean so I mean you're right
00:54:05
though Kate that at least you could try
00:54:07
and defile define build that into the
00:54:10
value like what the concept of a
00:54:11
replacement player is and but I don't
00:54:13
think that you know because of the kind
00:54:16
of attrition that happens as catcher and
00:54:18
stuff like that the selection bias
00:54:19
against catchers means I think it's very
00:54:21
hard to define that replacement value
00:54:24
and Maybe I guess Audi's arguing and I
00:54:26
would support him that you should sort
00:54:28
of almost tweak like that the concept of
00:54:30
replacement player for catcher should be
00:54:31
kind of brought downwards
00:54:34
>> because it's such a rare skill set to be
00:54:36
competent at all that
00:54:37
>> so it is it is down but here's my here's
00:54:39
the observation that I make about war
00:54:41
and how it deals with position and
00:54:43
position of catcher in particular. It's
00:54:46
invariant to the distribution of talent
00:54:48
above the replacement.
00:54:51
Think about that for a minute. So if you
00:54:53
have if you think of the replacement
00:54:56
line, there's always someone available
00:54:57
right at or below replacement. That's
00:54:59
the assumption. And that there's someone
00:55:01
available above the replacement, but
00:55:03
doesn't ask the question, what does it
00:55:04
look like? So imagine a just the
00:55:06
placement level is zero. Imagine there's
00:55:08
one guy at 10 and another at nine,
00:55:11
another eight, another seven, another
00:55:12
six, another five, all the way down, a
00:55:13
big pile of three, and two and one. That
00:55:15
may be one way it could be distributed.
00:55:18
And now imagine a a different position.
00:55:19
There's one guy at 10 and the next are
00:55:21
all at one and below.
00:55:23
>> Yeah. No, Audi's made a great point
00:55:24
because you're
00:55:25
>> telling me that that 10 the 10 in each
00:55:28
group are the same and
00:55:30
>> and that's something you can't correct
00:55:31
with just redefining the replacement
00:55:33
player because you're talking again
00:55:34
about sort of the a different
00:55:36
distribution like we should value
00:55:38
somebody who's a fivew player at catcher
00:55:43
>> well the replace more than somebody
00:55:45
who's a five war player in the outfield
00:55:47
because there's just not that many five
00:55:49
war players in major league baseball
00:55:50
>> right so go with me for a moment like
00:55:51
imagine you're running a fantasy draft
00:55:53
Right. And you got there's one catcher
00:55:55
at 10 and all the rest are one and
00:55:57
lower. And at center field or in the
00:55:59
outfield there's one at 10, one at nine,
00:56:00
and one at eight and a seven, a six,
00:56:01
whatever. There's lots, right?
00:56:03
>> Who you picking first? If you got the
00:56:05
first pick in the trash,
00:56:06
>> I don't you know, it's the 10 at catcher
00:56:10
because you just got now nine points
00:56:11
over all your competitors that they're
00:56:13
never finding.
00:56:15
>> So, it should make that somehow more
00:56:18
valuable. And that 10. Now, you could
00:56:20
say if the 10 is already in there, if
00:56:22
they've put the 10, but it's not because
00:56:23
I know that the war calculation is
00:56:25
relative to replacement value. So, they
00:56:27
don't look at that distribution above
00:56:29
the replacement value to find out to
00:56:31
figure out your war. And so, I want I
00:56:33
can imagine doing that. So, how does it
00:56:34
relate to the MVP race? It it my gut
00:56:37
says that if if Judge doesn't have a
00:56:40
huge offensive advantage, which right
00:56:42
now he does, but if it's not huge, I'm
00:56:46
awarding it to the catcher. Yeah, that
00:56:49
makes a lot of sense.
00:56:50
>> Yeah, it's kind of like, you know, if if
00:56:52
it was a DH that was kind of running
00:56:54
away like, you know, I think we kind of
00:56:55
like like somebody like Schwarber maybe
00:56:58
gets dis, you know, naturally
00:57:00
downweighted relative to somebody who's
00:57:02
fielding more complex positions.
00:57:05
So, I guess he's going up against DH
00:57:07
pitches.
00:57:08
>> Guys, we are down to the last two weeks.
00:57:09
Are there any races to We haven't talked
00:57:11
about races in a while and yet they're
00:57:13
we're we're at it now. I mean,
00:57:15
>> oh my god. Well, it's Yankees Red Sox
00:57:16
right now all over again.
00:57:18
>> I mean, they're kind of lined up to play
00:57:20
each other in the wild card round if
00:57:22
which I I I
00:57:24
personally would
00:57:25
>> Well, there's a home field advantage
00:57:26
that's really up in the air.
00:57:29
>> Right now, the Red Sox have an advantage
00:57:31
in in head-to-head play. So, the Yankees
00:57:33
actually have to come out ahead, not
00:57:34
tied in order to uh in order to get home
00:57:37
field. Um, that's a big race.
00:57:40
>> By the way, the Brewers have have sealed
00:57:42
it up. And h how the hell they did it at
00:57:44
this point is just remarkable without
00:57:47
any stars. Talk about we asked the
00:57:49
question what what would you rather have
00:57:51
in your distribution of talent lots of
00:57:53
lots of twos and threes or or is it an
00:57:56
extreme and you know how does that work
00:57:58
and talk about a recipe for for winning
00:58:02
that no one really predicted at this
00:58:04
level I think.
00:58:07
Yeah, certainly. I mean, you know,
00:58:08
somebody would I if if somebody asked
00:58:11
who's going to come out of the central,
00:58:12
I might have picked the Brewers, but I
00:58:14
would not have had them as the best team
00:58:15
in in baseball.
00:58:17
>> Well, to make explain, one of the things
00:58:19
y'all are saying is that the Brewers and
00:58:21
Phillies are vying for the National
00:58:22
League home field for the for the for
00:58:25
the duration, right there. That's the
00:58:27
That's a real consequential battle that
00:58:28
it's in.
00:58:31
>> It is.
00:58:32
>> Okay. So, that's that's interesting. Um,
00:58:36
looks like there's some interesting wild
00:58:37
card stuff going on.
00:58:38
>> Well, I mean, I think the the AL West
00:58:40
race I think is the interesting one in
00:58:42
ter, you know, as well because I mean,
00:58:45
>> well, I know. Well, yeah. Oh, I'm sorry.
00:58:47
AOS AO AO West I think is the more
00:58:50
interesting one just because, you know,
00:58:51
we've got the Astros Mariners and I mean
00:58:52
the Mariners in addition to that being
00:58:54
like, you know, a half game or game
00:58:56
separation between the two, I think this
00:58:58
is the Mariners have the longest
00:59:00
postseason drought streak I think in
00:59:02
>> like professional
00:59:03
>> in American sports. So that's right.
00:59:05
That's right.
00:59:05
>> In American In American sports. So, um,
00:59:09
yeah. I mean, obviously that I I kind of
00:59:11
feel like you we got, you know, I mean,
00:59:13
I'm not sure how many casual fans would
00:59:15
be out there rooting for the Astros
00:59:16
anyway, but I I feel like the public
00:59:18
should be really on the Mariners for
00:59:19
this one.
00:59:20
>> Yeah, for sure. For sure. Okay. Well,
00:59:22
there's a lot of interesting stuff going
00:59:23
on. You're talking about So, the Jays
00:59:25
somehow clinch the not clinch, but
00:59:27
they're going to win the East. So, it's
00:59:28
about Yankees Red Sox for the wild card
00:59:30
there. We're talking about the M and
00:59:33
Astros,
00:59:35
right, Shane? That's a great team to
00:59:36
pull for.
00:59:38
>> Yeah, the Rangers aren't far back. So, I
00:59:40
mean, you know, the you know, the
00:59:41
Mariners and Astros have uh have still
00:59:44
still got to keep it going as far as,
00:59:46
you know, one the loser of that race
00:59:48
could still miss the playoffs. It's not
00:59:50
like they're just competing for the
00:59:51
division.
00:59:52
>> Right. Right. Right. Okay. And then
00:59:53
flipping over to the NL, I mean, the
00:59:55
Phillies have made the East a sleeper,
00:59:58
but they are
00:59:58
>> Well, the Mets have really made the East
01:00:00
a sleeper. The Mets are really something
01:00:02
we should mention. They were the top
01:00:04
team top team in the NL
01:00:06
>> at mid Jul mid June I think up until mid
01:00:09
June and now they they're barely holding
01:00:12
on to that like last wild card spot.
01:00:15
>> Yeah. Bar it's an incredible collapse.
01:00:18
>> Barely barely barely. I could they could
01:00:20
this could easily go away especially if
01:00:21
they continue what they've been doing.
01:00:24
>> Um but then that that that NL West is
01:00:27
that's a great rivalry in baseball these
01:00:29
days. this Dodgers Padres's thing. The
01:00:30
Dodgers do have a two-game lead right
01:00:32
now. Um, which is pretty healthy with
01:00:35
only two weeks left, but that that's the
01:00:37
Padres's haven't won many of those
01:00:39
divisions, right? That's that's a that's
01:00:40
been a hard thing for them to get over
01:00:42
in recent past. So, that's a fun one.
01:00:45
All right. There's a lot of good things
01:00:46
for us to pay attention to as baseball
01:00:47
comes down to the wire here. Um, fellas,
01:00:51
why don't we leave it there? Why don't
01:00:52
we call that a day for the whole crew
01:00:55
here, Audi Winer and Shane Jensen who've
01:00:57
been in here from the beginning for Eric
01:01:00
Bradlo and Absentia, our fourth co-host.
01:01:03
This has been Kade Massie. Big thanks to
01:01:05
Dion Simpkins. Big thanks to D Patel.
01:01:08
Big thanks to Marissa Raina. That team
01:01:10
keeps us going. And thanks to you guys
01:01:12
for listening. Come back and join us
01:01:14
next time. Between now and then, enjoy
01:01:17
your sports.
01:01:19
[Music]

Episode Highlights

  • The Challenge of Predicting Quarterback Success
    Predicting how surroundings affect quarterbacks is nearly impossible, as elite talent often shines through.
    “It’s almost impossible to predict.”
    @ 18m 01s
    September 18, 2025
  • The Value of Average Quarterbacks
    Having an average quarterback can be more valuable than having a poor one, especially for struggling teams like the Raiders.
    “It’s better to be a fan of a team with an average quarterback.”
    @ 19m 34s
    September 18, 2025
  • Misunderstood Quarterbacks
    Dak Prescott and Jared Goff are examples of quarterbacks who may be undervalued despite their performance.
    “Goff has shown elite play.”
    @ 23m 20s
    September 18, 2025
  • Kevin Cole on Unexpected Points
    Kevin Cole discusses NFL analytics and the Jets' struggles over the years.
    “"Subsack Unexpected Points is fantastic reading if you're interested in analytics and the NFL."”
    @ 35m 22s
    September 18, 2025
  • The Tush Push: A Game Changer
    The Eagles' fourth down strategy, known as the tush push, is revolutionizing their gameplay.
    “"It’s kind of a cheat code."”
    @ 39m 36s
    September 18, 2025
  • Eagles' Dominance Against Top QBs
    The Eagles are 9-0 against top-tier quarterbacks since the start of the 2023 season.
    “"That’s absurd. So sort of exceptional performance against top talent."”
    @ 40m 28s
    September 18, 2025
  • Historic Baseball Achievements
    If we get all five of these guys over 50, it would be unprecedented.
    “That is unprecedented.”
    @ 50m 17s
    September 18, 2025
  • Judge's Unmatched Performance
    Judge's OPS and batting average set him apart from others this season.
    “He’s one of the greatest regular season players we’ve ever seen.”
    @ 51m 29s
    September 18, 2025
  • Brewers' Remarkable Success
    The Brewers clinched their spot without any star players, defying expectations.
    “The Brewers have sealed it up. Remarkable without any stars!”
    @ 57m 42s
    September 18, 2025

Episode Quotes

  • Thanks for having me.
    NFL Week 3 Analytics Insights and MLB Home Run Chase & Playoff Outlook
  • A rising tide lifts all boats.
    NFL Week 3 Analytics Insights and MLB Home Run Chase & Playoff Outlook
  • Somebody has to be down there.
    NFL Week 3 Analytics Insights and MLB Home Run Chase & Playoff Outlook
  • It’s kind of a cheat code.
    NFL Week 3 Analytics Insights and MLB Home Run Chase & Playoff Outlook
  • This would be the first non-steroid era instance of four.
    NFL Week 3 Analytics Insights and MLB Home Run Chase & Playoff Outlook
  • The Brewers have sealed it up. Remarkable without any stars!
    NFL Week 3 Analytics Insights and MLB Home Run Chase & Playoff Outlook

Key Moments

  • Average vs. Elite20:00
  • Misunderstood Players21:05
  • Coaching Challenges23:35
  • Jets' Struggles31:22
  • Chad Pennington Talk33:14
  • Unprecedented Feats50:17
  • Judge's Greatness51:29
  • Brewers' Surprise57:42

Words per Minute Over Time

Vibes Breakdown

Related Episodes

Bill Connelly on College Football Chaos, Coaching Carousel, and Predicting the Future of the Game
October 31, 2025
Captions not detected. You can watch the video, but not search it. If you think this is an error, contact support.
59:01
Bill Connelly on College Football Chaos, Coaching Carousel, and Predicting the Future of the Game
Data-Driven NFL Playoffs and College Football’s Shifting Power
January 12, 2026
Captions not detected. You can watch the video, but not search it. If you think this is an error, contact support.
01:08:34
Data-Driven NFL Playoffs and College Football’s Shifting Power
When Analytics Meet Chaos in Football Playoffs
January 15, 2026
Captions not detected. You can watch the video, but not search it. If you think this is an error, contact support.
01:10:28
When Analytics Meet Chaos in Football Playoffs
Baseball Analytics, NFL Parity, and College Football Playoff Odds
November 16, 2025
Captions not detected. You can watch the video, but not search it. If you think this is an error, contact support.
01:01:01
Baseball Analytics, NFL Parity, and College Football Playoff Odds
NFL Week 1 Review: Fourth Down Decisions, Super Bowl Odds, and Kickoff Returns
September 19, 2025
Captions not detected. You can watch the video, but not search it. If you think this is an error, contact support.
01:03:57
NFL Week 1 Review: Fourth Down Decisions, Super Bowl Odds, and Kickoff Returns
From Masters Victory to Motion Data: Golf’s Analytical Evolution
April 16, 2026
Captions not detected. You can watch the video, but not search it. If you think this is an error, contact support.
01:01:58
From Masters Victory to Motion Data: Golf’s Analytical Evolution
Inside College Football’s Data-Driven Evolution and Decision-Making
January 22, 2026
Captions not detected. You can watch the video, but not search it. If you think this is an error, contact support.
01:10:36
Inside College Football’s Data-Driven Evolution and Decision-Making
Breaking Barriers in Sports Performance: Technology, Analytics, and the Race for a Sub-4-Minute Mile
October 06, 2025
Captions not detected. You can watch the video, but not search it. If you think this is an error, contact support.
01:30:53
Breaking Barriers in Sports Performance: Technology, Analytics, and the Race for a Sub-4-Minute Mile
NFL Analytics Preview, QB Forecasts, and Team Rankings for 2025
August 05, 2025
Captions not detected. You can watch the video, but not search it. If you think this is an error, contact support.
01:05:14
NFL Analytics Preview, QB Forecasts, and Team Rankings for 2025
NBA Analytics, Tanking, and the Future of Team Building
February 19, 2026
Captions not detected. You can watch the video, but not search it. If you think this is an error, contact support.
01:04:12
NBA Analytics, Tanking, and the Future of Team Building
Rethinking Tennis Strategy Through Data and Coachability
February 12, 2026
Captions not detected. You can watch the video, but not search it. If you think this is an error, contact support.
01:07:36
Rethinking Tennis Strategy Through Data and Coachability
How Analytics Are Changing the Game in College Football
September 16, 2025
Captions not detected. You can watch the video, but not search it. If you think this is an error, contact support.
01:00:12
How Analytics Are Changing the Game in College Football