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Baseball’s Hall of Fame Debate Is Changing

May 27, 2026 / 59:35

This episode of Wharton Moneyball covers sports analytics, featuring discussions on hockey, baseball, and the performance of various teams and players. Hosts Kate Massey, Eric Bradlow, Shane Jensen, and guest Jay Jaffe discuss the current state of the MLB, including team performances and managerial changes.

The hosts share their thoughts on the NHL playoffs, with Eric and Shane discussing their enjoyment of the games despite not being die-hard hockey fans. They talk about the excitement of watching teams like the Carolina Hurricanes and the Montreal Canadiens, highlighting the unpredictability of playoff hockey.

Jay Jaffe, a senior writer for FanGraphs, joins the conversation to provide insights into the MLB season. He discusses the surprising performances of teams like the Philadelphia Phillies and the Atlanta Braves, as well as the struggles of teams like the Boston Red Sox and New York Mets.

The discussion shifts to the Hall of Fame, with Jaffe explaining his JAWS metric and how it differs from traditional WAR calculations. He addresses the challenges faced by pitchers in the Hall of Fame voting process and highlights players like Kevin Brown and Felix Hernandez.

The episode concludes with reflections on the evolving nature of baseball analytics and the impact of managerial changes on team performance.

TL;DR

Hosts discuss NHL playoffs and MLB season insights with guest Jay Jaffe, covering team performances and Hall of Fame metrics.

Episode

59:35
00:00:01
Welcome Welcome to wharton money ball.
00:00:03
Welcome to a full hour of sports analytics
00:00:06
Here on the wharton podcast network.
00:00:08
This is kate massey hosting this week With
00:00:10
two of my longtime collaborators and good friends
00:00:13
eric bradlow and shane jensen Our fourth co
00:00:16
-host oddy weiner Is away this week doing
00:00:19
oddy weiner.
00:00:19
Thanks.
00:00:19
He'll be back As you guys know some
00:00:21
combination of us are here almost every week
00:00:24
of the year Pushing 49 50 weeks of
00:00:27
the year have been for more than 12
00:00:28
years now delighted To roll in here and
00:00:31
get a little time Talking sports analytics with
00:00:33
these guys It's tuesday afternoon The show will
00:00:37
go up sometime wednesday.
00:00:38
This is our usual slot.
00:00:39
We're going to flip it this week We
00:00:40
usually do guests in the first half hour
00:00:42
this week.
00:00:43
We're going to do guests in the second
00:00:44
half hour that guest jay jaffe One of
00:00:47
the best sports analytics oriented baseball writers out
00:00:50
there for fangraphs We'll talk with jay in
00:00:53
the second half of the show talk more
00:00:55
baseball in the second half of the show
00:00:57
Um till then open lines as we used
00:01:00
to say when we were running this thing
00:01:01
live Gentlemen afternoon to you.
00:01:04
How are things eric from points unknown shane?
00:01:08
I think from home and i'm coming in
00:01:10
from austin.
00:01:10
What's up guys?
00:01:12
All good great time to great sports time
00:01:15
of the year a lot going on with
00:01:16
nba NHL mlb's in full swing.
00:01:20
We have the french open tennis going on
00:01:22
right now Of course the world cup's about
00:01:24
to start so a lot of good things
00:01:26
going on Well shane shane and I need
00:01:29
to talk about hockey shane.
00:01:30
I this back to adult adulting.
00:01:33
Um, I don't know if this is adulting
00:01:34
or not, but I I had this exchange.
00:01:36
I have a buddy in uh, Durham who's
00:01:40
a hurricanes guy.
00:01:42
Um, he's kind of a come to it
00:01:43
lately hockey guy like me He's a hick
00:01:45
like me grew up playing football and basketball
00:01:47
and not hockey now he's into it It's
00:01:50
not the most natural sport for that particular
00:01:52
region No, it's not nor is it for
00:01:54
west texas?
00:01:55
But we love it now and we were
00:01:57
talking last night because he was suffering through
00:01:59
this game as carolina Couldn't quite get it
00:02:01
past the canadians until late and i'm like
00:02:04
totally enjoying it because I only marginally care
00:02:07
about the outcome and the thing is here's
00:02:09
the weird I I 100 no question enjoyed
00:02:13
that game more than every sabers game or
00:02:15
penguins game I watched this season like this
00:02:18
this playoffs like yeah, you know, I cared
00:02:21
about the pins in round one I cared
00:02:23
about the sabers in round and you feel
00:02:24
like that degrades kind of yeah It's the
00:02:27
worst viewing experience.
00:02:28
Yeah I mean this is what i've suffered
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through as a patriots fan for the last
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20 years No sympathy from you guys, by
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the way that i've had to watch all
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these super bowls that have really mattered to
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me Another way.
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Yeah.
00:02:40
Yeah Audie weiner has arrived.
00:02:42
Let's say a little unexpectedly sliding in here
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from god knows where I think he's way
00:02:47
overseas But audie good to see you good
00:02:49
to be here Hey, we're gonna have jay
00:02:51
in the second half of the show.
00:02:52
So we're talking a little hockey to top
00:02:54
to top the show Sorry to follow up
00:02:56
on what you were saying.
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I I have found uh, I found like
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this this hockey uh playoffs has been Extra
00:03:02
delightful for me and I don't know if
00:03:04
it's it's partly the level play which I
00:03:06
think has been excellent I've really enjoyed the
00:03:08
games themselves, but it's also, you know, I
00:03:10
I don't dislike any of the teams remaining,
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you know like I could I would be
00:03:15
kind of fine, I mean, I guess I
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i'd sort of uh Built in my mind
00:03:19
this like carolina colorado finals, which it doesn't
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look like we're gonna get after all but
00:03:24
uh, but you know I'm, i'm fairly I
00:03:27
i'm fine with everything now that the oilers
00:03:29
are out of it You've had two bad
00:03:31
seasons because the oilers have been there to
00:03:33
the finals I I don't you know, it's
00:03:35
like, you know, it's kind of I kind
00:03:37
of celebrate oilers elimination day in the same
00:03:39
way.
00:03:40
I celebrate yankees elimination day every year Unfortunately
00:03:42
with both those teams it often is very
00:03:45
late in the game that I celebrate that
00:03:47
right?
00:03:47
Okay, eric's been trying to jump.
00:03:49
No.
00:03:49
No, I was just going to point out
00:03:50
that I find it interesting That you're as
00:03:53
excited as you are about hockey, but you
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also made another statement, which I wouldn't make
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about most sports I find it extremely difficult
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to watch most sports, but maybe hockey less
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so when I don't actually care about the
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outcome of the game So there's something I
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agree with you.
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There is something exciting about hockey, especially two
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two games late in it, etc where Like
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except for the super bowl, like if you
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just show me some random nfl game I
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don't know.
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The texans are playing the panthers or something
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like that.
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I love football I mean, it's probably my
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favorite sport, but I don't know I'm, not
00:04:26
that excited to flip on the texans and
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the panthers or you know, some random nba
00:04:31
game in the middle Hey, don't be so
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harsh.
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Don't harshen our boy.
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Eric eager.
00:04:35
Come on.
00:04:35
You care about the panthers now now you
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care about Now we do now.
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Can I ask you a question because i've
00:04:40
always had a hard time watching hockey on
00:04:43
television And found it just a delightful game
00:04:46
to go to more than delightful.
00:04:47
It's super exciting to be at it's actually
00:04:49
easier to follow it on You know, like
00:04:52
I feel like unlike some sports it's easier
00:04:54
to follow it in person like you can
00:04:56
track the puck better Yeah, it's just it's
00:04:58
a huge gap.
00:04:59
It's hard on tv for some of that
00:05:01
Yeah, it's a very big gap and I
00:05:02
think it's interesting because you know One of
00:05:03
the things about football the ascendance in america
00:05:06
of football as the national sport Basically parallels
00:05:09
the growth of television because it is ideal
00:05:12
I mean i've been offered tickets to go
00:05:14
see the eagles games and i'm like no
00:05:16
I think i'm gonna watch at home on
00:05:18
my big screen and not have to worry
00:05:19
about two hours of leaving the stadium and
00:05:22
It's just like i'm gonna watch it We
00:05:25
have to get you to a college football
00:05:27
game because the atmosphere of a college football
00:05:29
game is an entirely different thing And that's
00:05:31
back to hockey the the game last night.
00:05:34
The carolina montreal game was in montreal.
00:05:36
It was the first Montreal game of this
00:05:38
round and they have been incredible throughout the
00:05:40
playoffs whenever they play at home.
00:05:42
I mean Obviously the montreal folks Quebecois or
00:05:46
whatever they're called are like phenomenal for hockey
00:05:48
and that atmosphere is just unbelievable So oddy
00:05:51
every now and then it's worth going forget
00:05:53
about the view or whatever It's just the
00:05:55
atmosphere of the game and that happens with
00:05:56
college football Well, I have to say i've
00:05:57
been to college football not big college football
00:05:59
But as a student I used to go
00:06:01
to the yale games, of course I would
00:06:02
sit there and discuss math problems with my
00:06:04
friends.
00:06:05
That's what we would do.
00:06:06
But when we went True, it's a true
00:06:08
story Um, but when we went to the
00:06:09
hockey games, which were which were we did
00:06:11
not do that those were super exciting Um
00:06:14
the hockey the yale hockey game.
00:06:15
Yeah at the whale at the whale Fantastic.
00:06:19
I think it also helps that the ivies
00:06:21
are kind of more Um, they're competitive in
00:06:24
hockey.
00:06:24
Um, well last night one one thing that
00:06:26
jumped out last night carolina won it was
00:06:28
the third game of the series carolina supposed
00:06:30
to you know be the big favorite montreal
00:06:33
goes down to raleigh and takes the takes
00:06:35
the first game takes the first game and
00:06:37
um, and uh They go so carolina.
00:06:41
They outplayed them last night.
00:06:42
Remember they had a 10-day rest and
00:06:43
we talked about what the impact would be
00:06:46
and they Seriously outplayed them last night by
00:06:49
the end of the game.
00:06:49
The expected goals was like 5.1 to
00:06:52
one point something.
00:06:54
Yeah Think about yeah, the game was tied
00:06:57
2-2 deep into the first period of
00:06:59
overtime and carolina wins at 3-2 The
00:07:01
expected goals by the end of the game
00:07:02
was 5-1 That's how badly the hurricanes
00:07:05
outplayed the canadians but just barely squeaked by
00:07:08
No, it's I it's made me because I
00:07:10
feel like carolina in general has been I
00:07:13
mean, they're on a dominant looking run if
00:07:15
you just look at outcome 10 and 1
00:07:17
in the playoffs.
00:07:18
Yeah, but for those It's like they're like
00:07:20
that's based on a 4-0 record in
00:07:23
overtime Yeah, and you'd kind of think like
00:07:25
in part of you know, most of me
00:07:27
i'm like, oh well overtime is just completely
00:07:29
random It's a coin flip right but maybe
00:07:31
carolina montreal like it's like carolina if you're
00:07:34
like a lopsidedly good team And you're having
00:07:37
trouble getting ahead Maybe you just need more
00:07:39
time in the game to kind of for
00:07:41
that like those Difference if we saw that's
00:07:43
a nice realize, you know, it's a nice
00:07:44
point.
00:07:45
Yep, right just i'm gonna jump in I
00:07:47
know eric has had his hand up, but
00:07:48
i'm learning more about hockey and there's this
00:07:51
and the depth and the differences in the
00:07:53
lines does suggest that maybe there's There's less
00:07:58
of a coin to flip in overtime because
00:08:01
Because of that you can basically have your
00:08:03
top lines play more often Maybe they don't
00:08:05
I don't I don't I don't know enough
00:08:06
to know exactly how the details go But
00:08:08
that would be my hypothesis.
00:08:09
Yeah, I don't I don't know if that's
00:08:10
true because This is something tolsky told us
00:08:13
whenever we talked to him a couple of
00:08:15
months ago We were talking about that what
00:08:17
seems like special, you know playoff overtime hockey
00:08:19
feels special and he's like I don't know
00:08:21
guy basically these are my words.
00:08:23
I don't know guys The players are so
00:08:25
tired by that.
00:08:26
Yeah, they can't be working as hard as
00:08:27
you think They're just worn out lines more
00:08:30
exclusively in overtime.
00:08:31
You better you better end that overtime quick,
00:08:33
I guess, you know, exactly But both teams
00:08:36
are kind of going through that same exhaustion
00:08:38
kind of level.
00:08:39
Uh, You know kind of performance to grade
00:08:42
I guess Eric, yeah, you're um, you're five
00:08:46
to one expected goals question asked made me
00:08:48
think of something metric statistically So I assume
00:08:52
expected goals in hockey are based on location
00:08:55
and shots taken correct Yes, assuming that's true
00:08:59
Is there any reason we would need another
00:09:01
metric to measure goalie performance than the difference
00:09:05
between expected goals and actual goals?
00:09:09
Well, yes Because I don't think expected goals
00:09:12
Takes into consideration the position of other players
00:09:16
and the position of other players has a
00:09:18
lot to do with goalie performance So guys
00:09:20
get guys get blocked all the time.
00:09:23
Do you think if we got more sophisticated
00:09:25
in measuring expected goals?
00:09:27
Then the answer like in the limit would
00:09:29
be no Yeah, right.
00:09:31
It seems like in the limit if you
00:09:32
could traject like track the trajectory of the
00:09:35
puck And kind of have like a real
00:09:38
value.
00:09:38
Yes, I think then you'd probably get almost
00:09:41
all the Residual outbated like that would that
00:09:44
would I think be basically well as long
00:09:46
as you have to have some sense of
00:09:47
what the goalie Can see and what he
00:09:49
can't see so if he's got a clean
00:09:50
unobstructed view, that's one thing but if he's
00:09:53
got The other team's got a big guy
00:09:55
in front and he and some one of
00:09:56
their guys is trying to lean on him
00:09:58
And he can barely look around or the
00:09:59
puck comes over his right shoulder to even
00:10:00
see it that happens all the time Yeah,
00:10:02
I guess i'm thinking of a 3d model
00:10:04
of all Players and puck right like like
00:10:08
if that's kind of the limit Kind of
00:10:10
of both on the data and kind of
00:10:12
modeling side.
00:10:13
I feel like that would get Essentially all
00:10:16
of it, but you're right.
00:10:17
That's a good point eric I think you've
00:10:19
basically defined, you know you have the perfect
00:10:21
uh expected goals model whenever you can take
00:10:24
the residual against actual goals as the mark
00:10:27
of goalie performance and I think we're some
00:10:29
distance.
00:10:29
Well, I don't know about some that was
00:10:30
my point You said it much better than
00:10:32
I did.
00:10:32
I like how you said that can I
00:10:34
just interject about some of the talks i've
00:10:36
seen about expected goal in um Soccer professional
00:10:42
highest level soccer is it doesn't seem to
00:10:44
be much residual Value attributable to the shooter
00:10:51
In other words, if you look at expected
00:10:53
goals versus expect actual goals and look at
00:10:56
it from the offensive side you'd expect some
00:10:59
players to consistently outperform their expected goals and
00:11:04
the bottom line is conditional on location Yeah,
00:11:07
everything you would put in stuff like that
00:11:09
the kind of random effect of player is
00:11:11
not there's no players that really see So
00:11:13
in soccer, I wouldn't say no.
00:11:15
I didn't i'm about to make my one
00:11:16
exception Um, okay after controlling for everything.
00:11:19
Basically, there is no player except for one
00:11:21
and he sticks out like a sore thumb
00:11:23
and that's messy So he's just great and
00:11:26
everybody else is great at taking shots.
00:11:29
I mean getting to make them That's where
00:11:30
their genius is, but they don't seem to
00:11:33
score them more frequently Guys, you're the statisticians.
00:11:38
How well can we say something like that?
00:11:41
We can say there aren't reliable individual differences
00:11:44
and that's a population level conclusion That's different
00:11:48
than saying there are no individuals.
00:11:50
It's much harder to say Right these guys
00:11:53
fall so far outside.
00:11:54
They're beyond what we'd expect I mean, there
00:11:56
is a statistical test that we can use
00:11:58
to say that but that's what it would
00:11:59
take, right?
00:12:00
That's a great it was exactly what I
00:12:02
was we're done eight because let's let's imagine
00:12:04
we had However, many let's I don't know
00:12:06
15 20 15 players on a hockey team
00:12:08
whatever times 30 So let's imagine we had
00:12:11
roughly 450 to 500 players each with a
00:12:14
low power effect Because it's there's low maybe
00:12:16
low statistical power to assess this or even
00:12:19
in soccer And the problem is every one
00:12:22
of them shows this effect to a small
00:12:24
degree So there's a population level effect, but
00:12:27
it's hard to detect any single player with
00:12:29
that effect And that's what you would expect
00:12:32
matter of fact, my guess is there are
00:12:34
most phenomenon in life where individual Individual level
00:12:39
measurement is hard to say This player or
00:12:42
this person is so extraordinary But there is
00:12:46
an effect when I look at the population
00:12:48
distribution.
00:12:49
Well, adi's saying something else.
00:12:50
Adi's saying population level.
00:12:51
There's no effect Well, there's a random distribution
00:12:55
Population is so let's start be clear here.
00:12:57
This is the top players Oh, I thought
00:12:59
he was talking about players I thought he
00:13:01
was talking about there were no players that
00:13:02
show and observe goals more than they're expected
00:13:05
except for lino messi He was talking about
00:13:07
a player level effect.
00:13:09
I'm looking at a player to get more.
00:13:10
I mean, I assume Plenty there's plenty who
00:13:13
have positive plenty of negative and i'm actually
00:13:15
just repeating.
00:13:16
I haven't done this analysis myself I should
00:13:17
be making that quite clear.
00:13:19
Um, this was a talk given at nessus
00:13:22
Which is a new england sports conference that
00:13:24
takes place every other year at harvard And
00:13:26
this was one of the featured talks And
00:13:29
um, it was using a lot of bayesian
00:13:31
statistics as you might expect to do this
00:13:33
kind of problem It's the this the the
00:13:35
standard approach.
00:13:36
Um, yeah, that was the conclusion that was
00:13:39
uh, that was presented to the at the
00:13:41
conference No, it sounds like methodologically the right
00:13:43
thing.
00:13:43
I would kind of feel like that and
00:13:45
this is coming back to hockey I think
00:13:46
the similar problem hockey is that once you
00:13:48
start conditioning on shot Location and a lot
00:13:51
of the other type of stuff you'd like
00:13:53
to resize lights out even for players like
00:13:56
messy that play a lot I feel like
00:13:58
you all the time you're really reducing your
00:13:59
your sample size if you're then going to
00:14:01
be like Here's sort of like a rat,
00:14:04
you know looking for player Random effects on
00:14:07
top of that already complicated model So I
00:14:09
I just don't know how powerful with the
00:14:11
amount of data We have we how much
00:14:13
power we really have to detect that kind
00:14:16
of you know, sort of In other words
00:14:18
you're saying that there's so much noise because
00:14:20
the model is so So is not so
00:14:22
perfect by any stretch.
00:14:23
We don't know what xg is.
00:14:25
We only have xg up to the Factors
00:14:27
that we're putting in it and that introduces
00:14:29
an enormous amount of residual Independent noise and
00:14:33
that makes whatever signal you're trying to find
00:14:35
just that much harder to spot and detect
00:14:37
But he's also i'm also hearing or at
00:14:39
least i'm projecting onto what he's saying another
00:14:42
consideration, which is the ability to create xg
00:14:45
itself Is a skill can be an is
00:14:48
an individual difference and let's not condition out
00:14:50
xg without knowing that that's happening because That
00:14:54
could be what is reliable is the ability
00:14:55
to create more xg Um, by the way,
00:14:57
this question about the population doesn't seem to
00:15:00
have any reliable differences, but maybe one individual
00:15:03
or two Does is something that comes up
00:15:05
with nfl draft?
00:15:07
So this is goes back to one of
00:15:08
the first papers I submitted to the mit
00:15:10
conference It doesn't seem like teams are better
00:15:13
and if you take it down to the
00:15:14
general manager level That people aren't better than
00:15:17
each other at the nfl draft That doesn't
00:15:19
mean that there's not one or two who
00:15:21
outperform but you have it's a different statistical
00:15:23
test to ask whether one or two Hey,
00:15:26
if I just be since we're a business
00:15:27
school, my guess would be the same would
00:15:29
be true of people picking stocks, right?
00:15:32
I mean, this is the classic thing.
00:15:33
It doesn't mean there's nobody that's better It's
00:15:36
hard to be systematically better also from year
00:15:39
to year I think what adi's also pointing
00:15:40
out potentially is that messy maybe has repeatedly
00:15:44
done this It's not it's not a one.
00:15:47
My guess is it may not be a
00:15:48
one-year statistic that he's talking about and
00:15:51
you know, that's another possibility is that Lionel
00:15:55
messy could stick out this year, but not
00:15:57
for the previous 10 years.
00:15:58
That's not what you're saying.
00:15:59
I think no, I doubt it But the
00:16:02
thing is, I mean, this is where you
00:16:03
you touch on statistical techniques So everyone in
00:16:07
statistics is trained to try to do what
00:16:09
we call family-wise control So that when
00:16:11
we do have positives, we know that we're
00:16:13
controlling the false positive rate at whatever what
00:16:16
level we call that in statistics now we
00:16:19
typically use um false discovery rates and those
00:16:22
are Better ways to look at a population
00:16:24
level um characteristic because you don't have to
00:16:28
have the stringencies of family-wide, um Error
00:16:31
rates which are which basically take away most
00:16:34
of your power So when I did like
00:16:35
the hockey putting I couldn't find the one
00:16:38
the one putter golf Sorry, i'm getting mixing
00:16:41
my sports the golf putting I couldn't find
00:16:43
putting is even more Yeah, hockey pucking.
00:16:47
Um the uh, I couldn't find the the
00:16:49
the actual three or four putters who were
00:16:52
better and name them I could give you
00:16:54
a group of five or six and tell
00:16:56
you Of these five or six four of
00:16:58
them are are are going to be better
00:17:00
than everybody else with a control of the
00:17:02
error rate Of about five percent.
00:17:04
So in other words, it's kind of a
00:17:05
funny statistics It's like looking at stock pickers
00:17:07
and saying here's a bunch of people One
00:17:09
or two of them might actually just be
00:17:10
lucky but on this group most of them
00:17:13
That's exactly we want to be able to
00:17:14
say things that we can actually say and
00:17:16
no more And so you're saying we can
00:17:18
say this and no more which is fantastic
00:17:21
and I remember that about your putting paper
00:17:24
Um guys one last thing on hockey.
00:17:25
I just want to say we had a
00:17:26
note I had a note from a longtime
00:17:28
listener and good friend.
00:17:29
You've all wrote in strike He really ought
00:17:31
to get associate producer credit on this show
00:17:33
He gives us so much feedback and so
00:17:35
many good ideas But and i'm gonna probably
00:17:37
misrepresent what he said, but i'm gonna i'm
00:17:39
gonna use it to ask a question I
00:17:41
said last week that hockey had this quality
00:17:43
seems to me hockey has this quality Because
00:17:46
scoring is rare And that it can turn
00:17:49
on a dime guys can go from behind
00:17:50
the net to scoring a goal It happened
00:17:52
this in this past week in like four
00:17:53
seconds That there's there's there's higher frequency changes
00:17:58
in win probability than in other sports And
00:18:01
I I said that as a positive thing
00:18:04
It is something that keeps me kind of
00:18:05
it's hard to not pay if you care
00:18:07
about the game at all It's hard to
00:18:08
turn your attention to anything else because of
00:18:09
that quality And you've all wrote and said
00:18:12
yeah, I I said basically said I I
00:18:14
think that may be true And that's why
00:18:15
I don't like it as much as I
00:18:17
it's not it's like I I want I
00:18:19
don't want it to be as As like
00:18:20
a constant hazard rate that the wind problem
00:18:22
is going to change I want to see
00:18:23
it build up like you see it happens
00:18:25
in football or basketball It's interesting because I
00:18:28
you know, I can we group can we
00:18:30
group sports that way and it's it's and
00:18:32
and do people have preferences for the type
00:18:34
of Sport on that dimension that well, I
00:18:37
I think the most popular sport in the
00:18:38
world is definitely more like hockey in this
00:18:40
I mean, I think the hockey just because
00:18:42
it's even more end to end and like
00:18:44
deflections and stuff probably has an even greater
00:18:46
instantaneous rate of change but soccer is like
00:18:49
that too like one penalty or one like
00:18:52
kind of like I mean, I feel like
00:18:54
the probability can really change a lot in
00:18:56
soccer Uh kind of in like you're describing
00:18:59
but it does have a build soccer Soccer
00:19:01
does have this you see guys build up
00:19:03
over the course of a field now.
00:19:04
It doesn't always happen Continually, but when it
00:19:07
does like oh, they're getting closer.
00:19:08
There's something happening, but it's slower build than
00:19:11
a you know American football drive down the
00:19:13
field I mean do y'all find I
00:19:16
think it's less predictive.
00:19:17
I mean, maybe I that shows my soccer
00:19:19
naivete, but I feel like During a drive
00:19:23
down the field soccer wise because it's back
00:19:25
and forth like i'm I I can less
00:19:27
understand Understand.
00:19:28
Oh, something's really building here versus not.
00:19:31
It seems more random He wears it like
00:19:32
football because it's stop and start and because
00:19:35
there's underlying fundament like, you know How much
00:19:37
garbage they're getting and stuff?
00:19:39
I feel like you can kind of get
00:19:40
like a lot more sort of like how
00:19:42
this is going Information before the outcome is
00:19:46
realized necessarily.
00:19:47
Yeah All right, so i'm no big reactions
00:19:51
from oddy or eric on that dimension it's
00:19:53
not resonating real strongly one way or the
00:19:55
other All right.
00:19:56
Um, well, they're baseball guys.
00:19:57
I mean What is baseball?
00:19:59
How would you characterize baseball in this respect?
00:20:01
I mean Unless the score is tied or
00:20:04
you know, you're you're within a you know
00:20:05
Distance that you can and late in the
00:20:07
game and late in the game.
00:20:09
It doesn't have that at all It has
00:20:10
a sobriety about it So no, yeah, I
00:20:13
feel like it's probably gone it's got the
00:20:15
most bimodal bimodal, uh kind of distribution of
00:20:20
these rates of win probability where For for
00:20:23
for many game states, you know, you can
00:20:25
turn it off in the fifth inning and
00:20:27
you you know It's over type of thing
00:20:29
For like what does this what does this
00:20:31
say about me and oddy that?
00:20:33
Hockey and baseball differ in the degree of
00:20:36
sobriety Hockey as this example is just completely
00:20:40
off the rails I think both oddy and
00:20:43
change point is if you have baseball How
00:20:46
what how hard is it?
00:20:49
Let's say in the first seven innings of
00:20:51
a game for a baseball game to be
00:20:56
Considerably beyond 90 win probability pretty hard.
00:21:00
I'm just saying, you know I don't think
00:21:03
baseball games get that like another way to
00:21:06
think of it.
00:21:07
Kate is like almost like a control chart
00:21:09
You put some error bounds and then you
00:21:11
we can I mean this would be easy
00:21:13
to do right?
00:21:14
Especially with things like speaking of jay jaffe
00:21:16
and fan graphs coming up Imagine you had
00:21:18
win probability charts over time for various sports.
00:21:22
You could talk about first time to hit
00:21:23
the boundary The number of times to hit
00:21:26
the boundary all kinds of things I want
00:21:29
to make just maybe a technical distinction here
00:21:31
We're talking about change in win probability not
00:21:34
necessarily win probability exceeding like 95 But like
00:21:37
we're not talking about like kind of the
00:21:38
game bearing guaranteed or not because I still
00:21:40
think baseball though.
00:21:42
It's true that Probably there's very rare kind
00:21:44
of game states where one team has more
00:21:47
than like a 95 Chance of winning at
00:21:49
the seventh inning to go from that like,
00:21:52
you know, 95 You know to actually kind
00:21:55
of build in the other direction is still
00:21:57
going to be probably pretty incremental They got
00:21:59
to get guys on base and you know
00:22:01
It's like they can't just hit like three
00:22:02
grand slams in like a row or something
00:22:04
like that, right?
00:22:05
so so I I think I I think
00:22:09
you know sort of I still think baseball
00:22:11
is kind of on the slower in terms
00:22:13
at least like kind of the Instantaneous rate
00:22:15
of change in that that that win probability
00:22:19
Unless you are all you know It's except
00:22:21
for those kind of really close games at
00:22:24
the end where it can swing like crazy
00:22:25
based on one at bat, you know Yeah,
00:22:27
you got to take yourself time.
00:22:28
You got to get that walk.
00:22:29
You got to get that bloop You got
00:22:30
to get that error.
00:22:31
You got to get that i'm describing the
00:22:33
2001 world series.
00:22:35
I'm sorry right now but It's a series
00:22:39
of events Yeah I mean or we could
00:22:42
you know, you got you you got you
00:22:44
got to get that walk You got to
00:22:45
get that stolen base.
00:22:46
You got to get that hit off.
00:22:47
Mariano.
00:22:47
I feel like we're also describing the 2004
00:22:52
So, hold on hold on eric, let me
00:22:54
jump in real quick because oddy just used
00:22:56
the term crescendo Yeah, and it reminds me
00:22:59
that our friend and former dean.
00:23:01
Jeff garrett had a whole theory of crescendo
00:23:04
sports Do you remember this?
00:23:05
This is like going back to our very
00:23:06
first year in operation 2014 So jeff is
00:23:10
now the big dean at the marshall school
00:23:12
of business at usc and we need to
00:23:14
be reminded of what jeff's crescendo theory of
00:23:16
sports was because he definitely had a Notion,
00:23:19
he's a political scientist.
00:23:20
We had this notion about crescendo nature of
00:23:23
sports.
00:23:23
I hadn't thought about it in a while
00:23:25
um, okay, eric, you were gonna jump in
00:23:26
no, no, I was just gonna build on
00:23:27
shane's point that Is the following seems mathematically
00:23:31
plausible, but I don't know if it's true
00:23:33
which is Since baseball, which we all agree
00:23:36
has lower incremental change in probability It probably
00:23:41
is not uncorrelated with the fact that it's
00:23:43
hard to get outside certain bounds within a
00:23:45
short period of time And so that was
00:23:48
going to be my point is that those
00:23:49
facts are related to each other in some
00:23:52
way And if you think in the limit,
00:23:53
this is what I if assuming you agree
00:23:55
This is what I tell students all the
00:23:56
time.
00:23:56
Let's imagine that the increment at any particular
00:23:59
time was really tiny Then by definition you
00:24:02
couldn't get outside the bounds And so it
00:24:05
helps to build intuition if we think about
00:24:08
in the limit if baseball has slower increments
00:24:10
or smaller increments It probably also means It
00:24:14
will have less It'll take longer to hit
00:24:17
the boundary.
00:24:18
Maybe it's hard to get farther out of
00:24:20
the boundary, etc It's the summary of it
00:24:23
is that it has greater sobriety.
00:24:25
I think I think that's I know Quantitative
00:24:31
term a measure It might be though it
00:24:36
might be why people I don't know that
00:24:37
this is directly true or not might be
00:24:39
why people Stay at baseball games longer.
00:24:43
Yes, because you know, the win probability is
00:24:46
never totally out of reach and You know
00:24:49
in some sense.
00:24:50
I don't know.
00:24:51
I'm just saying I think there's lots of
00:24:53
things that are implications of small increments That's
00:24:56
okay.
00:24:56
Okay.
00:24:56
So one of these days We'll have a
00:24:58
bunch of win probability charts over the course
00:25:00
of a game within game changes in win
00:25:01
probability And we can compare these things and
00:25:03
see whether they match our intuitions in the
00:25:05
meantime.
00:25:06
Jay Jaffe Is joining us jay's based in
00:25:08
brooklyn.
00:25:09
He's a senior writer for fangraphs You baseball
00:25:11
guys know what fangraphs is if you're not
00:25:13
a baseball guy, but you love sports and
00:25:15
likes you I don't know what fangraphs is.
00:25:16
It's a terrific site.
00:25:17
It's exactly where I go if I want
00:25:19
to find out what's going on in baseball
00:25:21
Jay's been there for a while.
00:25:22
He's also written before for the baseball prospectus,
00:25:25
of course And a contributing writer for si
00:25:28
he's a recurring guest on the mlb network
00:25:31
He's a member of the bbwaa And he's
00:25:34
been a hall of fame voter since 2021
00:25:35
notably and it's going to come up.
00:25:38
He's the creator of jaws That sounds like
00:25:42
war the jaffe war score as you've heard
00:25:45
us talk over the years There's multiple ways
00:25:47
to do war.
00:25:48
There's not one way and there's apparently a
00:25:50
jay jaffe way The boys are going to
00:25:53
be interested in that jay welcome back good
00:25:55
to see you.
00:25:56
Hey, thanks.
00:25:56
Great to be back Love having you.
00:25:59
Um My challenge in this half hour is
00:26:01
to see how long I can keep the
00:26:02
conversation going on topic other than hall of
00:26:04
fame We want to talk hall of fame,
00:26:06
but before we get there Can you give
00:26:08
us a little bit of your perspective on
00:26:10
the season so far?
00:26:11
We're far enough in to have some thoughts
00:26:13
on things.
00:26:13
I know you wrote about the phillies I
00:26:15
think last week or earlier this week the
00:26:18
philly is experiencing a nice little turnaround with
00:26:20
mattingly.
00:26:21
Um Um, i'd be curious about the braves
00:26:24
or the braves.
00:26:25
What do you what do you what chances
00:26:26
do you give them against the dodgers?
00:26:28
Um, so yeah, what else you see?
00:26:30
Yeah, we've seen you know, as with every
00:26:33
season I think we've you know We've seen
00:26:34
some surprisingly strong starts and some surprisingly weak
00:26:37
ones.
00:26:38
I mean the strong ones this year.
00:26:39
Uh, the braves are obviously uh, one of
00:26:42
them, um the uh, uh The phillies, uh
00:26:48
turn around after a Atypically, uh weak start
00:26:51
we're firing the manager and then suddenly going
00:26:53
on a roll with don mattingly Uh big
00:26:55
story, uh, the red sox stumbling out of
00:26:58
the gate and then firing.
00:26:59
Alex.
00:26:59
Cora.
00:27:00
Um, Maybe we should have already lowered our
00:27:02
expectations for for boston Uh given what's transpired
00:27:06
there over the last half decade, but they
00:27:08
did make the playoffs last year Um still
00:27:11
this feels more like an extension of what
00:27:12
we've seen Uh in what i'll call the
00:27:15
post mookie bets era than uh, uh, you
00:27:18
know, then the uh, uh the the powerhouse,
00:27:21
uh uh al east rivalry era Um that
00:27:25
preceded it.
00:27:26
Um Uh dodgers off to another strong start
00:27:30
although again being given a chase by the
00:27:32
padres um You know, it sets up a
00:27:36
I think a very Compelling, you know continues
00:27:39
a very compelling rivalry that has so far
00:27:41
withstood Uh the padres instability over the last
00:27:45
few years when it comes to managerial changes
00:27:47
and now a pending ownership change um That's
00:27:52
that's interesting there.
00:27:54
Uh At times we've had everybody in the
00:27:55
nl central above 500 and everybody but the
00:27:58
leader in the al central below 500 We
00:28:00
seem to be witnessing a changing of the
00:28:01
guard in the al west where the astros
00:28:04
Uh are looked like they've reached the end
00:28:07
of their uh long run atop the division
00:28:10
Uh, but the mariners have stumbled out of
00:28:12
the gate as well.
00:28:13
Um, and the you know, so it's uh,
00:28:16
Uh a bit interesting what's going on there.
00:28:18
Um And uh, I guess the mets, uh
00:28:22
struggles, uh this year Uh being an extension
00:28:26
of uh, the struggles they had after june
00:28:28
the start of june last year.
00:28:30
Um I think uh, uh, you know, we're
00:28:34
seeing a lot of things go wrong there.
00:28:36
Um Those are some those are some of
00:28:38
the stories that i'm that i'm following isn't
00:28:41
the cardinals the biggest The cardals, I think
00:28:44
the car.
00:28:44
I think the cardals are a nice surprise.
00:28:46
Yes Um, you know, we thought this would
00:28:48
be a a year of rebuilding for them
00:28:51
Uh as as well, but uh, you know
00:28:54
They've had they've produced a lot of young
00:28:55
talent in recent years that just had not
00:28:57
hit its stride and suddenly you know jordan
00:29:00
things are coming together for jordan walker, for
00:29:01
example, and uh, um, you know, they are
00:29:04
looking like uh, Uh a reasonably strong team
00:29:07
in a division where I think you know
00:29:10
one of the expected leaders the cubs have
00:29:11
had uh, pitching injuries galore and uh, A
00:29:15
lot of problems on the offensive side as
00:29:17
well So let me jump in with one
00:29:19
follow-up before eric jumps in here On
00:29:21
the phillies you mentioned in the article.
00:29:24
This is one of the best stats i've
00:29:25
come across in a while You mentioned the
00:29:27
don mattingly start whenever he came in as
00:29:30
a replacement Manager ran 16 for like the
00:29:33
first 20 games 16 and 4 This is
00:29:36
the best first 20 games for a replacement
00:29:39
manager since 1880 It's almost 150 years It's
00:29:46
absolutely unbelievable that baseball goes back that we
00:29:48
have a stat.
00:29:48
We have a first time since 1880 almost
00:29:50
150 years Jay, we talked about this a
00:29:52
little bit on the show last week.
00:29:53
Can you tell us from your?
00:29:55
wise baseball history perspective What happens when a
00:30:00
guy comes in and The club responds this
00:30:03
way like how much of it is the
00:30:04
manager effect?
00:30:05
And why does the manager have an effect?
00:30:07
We thought the baseball managers didn't do that
00:30:08
much.
00:30:08
They just turn in a lineup card Yeah,
00:30:11
I don't put a ton of stock into
00:30:13
the idea that this is sudden you know
00:30:15
that that maddenley is suddenly doing things that
00:30:18
are different than uh, Uh than what rob
00:30:20
thompson were doing was doing.
00:30:22
I mean maddenley was the bench coach there
00:30:24
He should have been a better bench coach,
00:30:25
uh for this first, uh uh 28 games
00:30:28
of the season or whatever it was, um
00:30:32
But you know, I think Managers wear out
00:30:34
their welcomes and sometimes I think there's a
00:30:36
tendency, you know to tune guys out uh,
00:30:40
and you know for there to be I
00:30:42
think Small fissures in the clubhouse where you
00:30:46
know, you're just not connecting the same way
00:30:48
that you did Uh, we know that there
00:30:50
was at least one personnel conflict, uh that
00:30:53
rob thompson had with nick castellanos uh who
00:30:56
uh uh the phillies let go at the
00:30:59
beginning of spring training or just before he
00:31:01
reported to spring training because they couldn't find
00:31:03
anybody to Take his 19 million dollar salary
00:31:05
uh, but there may you know, there may
00:31:08
have been other stuff going on behind the
00:31:10
scenes that we haven't heard about and um
00:31:13
You know, but the reality is is that
00:31:16
the phillies did very well under thompson 158
00:31:18
percent of the time since he took over
00:31:20
in early 22 Uh won a pennant under
00:31:23
him Um looked like they were bound for
00:31:25
yet another playoff berth.
00:31:27
Um And just weren't up weren't playing up
00:31:31
to their potential and so a lot of
00:31:32
what's happened since mattingly took over It's just
00:31:35
positive regression and it's maybe guys, you know,
00:31:38
uh Hearing a different voice or just you
00:31:43
know, not thinking about the the conflict they
00:31:45
have with the last guy or not thinking
00:31:47
about you know, uh this shit again, you
00:31:49
know, whatever you're just the way, you know,
00:31:51
you're You you tune somebody out when you're
00:31:53
just kind of sick of hearing What they
00:31:55
have to say even when even when you
00:31:56
know that they're right.
00:31:57
Um You know, so I think that's part
00:32:01
of it Uh, I I think the other
00:32:02
thing that and we really should not overlook
00:32:05
this Uh with regards to the turnaround is
00:32:08
that the phillies right around, you know, just
00:32:10
before thompson was fired Uh, zach wheeler returned,
00:32:13
uh from a recovery from thoracic outlets Syndrome
00:32:17
surgery and he replaced taiwan walker who had
00:32:20
a nine plus era Uh, and wheeler has
00:32:23
pitched like an ace with a 167 era.
00:32:25
I mean that's a huge swing Uh once
00:32:28
every five days and it has downstream effects
00:32:30
because of the way, you know, you're getting
00:32:32
you know You're you're you're getting better relievers
00:32:34
in there.
00:32:35
Um, you know, you're pitching beeper into games
00:32:37
You're not using your bullpen as much with
00:32:40
that And so, you know your bullpen is
00:32:42
able to cover some more, you know, some
00:32:44
more more ground You've also got christopher sanchez
00:32:46
suddenly on a on a roll 37 and
00:32:48
two-thirds scoreless innings.
00:32:51
Um You know, so just the phillies suddenly
00:32:54
are getting great pitching and and that's the
00:32:56
real difference.
00:32:57
Okay, great Eric wants to jump in i'm
00:32:59
just gonna have a comment on what jay
00:33:00
said by the way Um the binomial probability
00:33:03
back to your regression issue of a 9
00:33:05
and 19 team if their true strength is
00:33:07
roughly around 500 That's only 3.8. It's
00:33:11
not that rare.
00:33:12
Let's just say so nine and it's not
00:33:14
like they were 2 and 26 Right all
00:33:17
of a sudden so that's just one comment
00:33:19
But the second thing I was going to
00:33:20
ask you is you going back to the
00:33:21
dodgers?
00:33:23
Did they have a luxury as two-time
00:33:25
defending champions in the sense of all right?
00:33:28
So the padres beat us in the regular
00:33:30
season who really cares like as long as
00:33:33
we're healthy And our lineup is set for
00:33:36
the postseason.
00:33:37
That's what we should care about Should they
00:33:40
be maximizing a different objective function maybe than
00:33:43
other teams that aren't sitting there with both
00:33:45
the quality of the team they have And
00:33:47
two championships in the bank Yeah, I think
00:33:50
we saw that last year I mean the
00:33:51
dodgers were not nearly as strong a regular
00:33:53
season team last year as they were in
00:33:55
2024 and they didn't they didn't push themselves
00:33:58
as hard their focus was on getting their
00:34:01
starting pitching Healthy for the playoffs and you
00:34:03
know, they they really slow walked the rehabs
00:34:06
of both.
00:34:07
Tyler glasnow and blake snell um, and they
00:34:10
wanted they wanted to make sure those guys
00:34:11
were available down the stretch and they were
00:34:14
um, they actually had such a surplus of
00:34:16
starting pitching, uh by the end of the
00:34:18
season with shohei otani also rehabbing from his
00:34:21
uh, elbow reconstruction that uh, they were sending
00:34:24
starters to the bullpen, um, you know, I
00:34:27
think they They are I feel like the
00:34:29
dodgers.
00:34:30
I don't know if it's an organizational strategy
00:34:32
or if it's just the way it is
00:34:33
But I think they are more tolerant That
00:34:36
they'll sign 14 guys that like seven of
00:34:39
which have real injury like histories instead of
00:34:43
just avoiding those and You'll have those seasons
00:34:45
like a couple years ago where they barely
00:34:47
made it to the postseason within these starters
00:34:49
and then last year it ended up the
00:34:51
luck was better with them and they had
00:34:52
a surplus but with even in signing people
00:34:54
like glass now snell you're kind of You're
00:34:56
signing up for that like, you know, only
00:34:58
half these guys are going to be Because
00:35:01
they because they have uh Because they can
00:35:04
spend so much money and they're not afraid
00:35:06
to spend so much money because they're practically
00:35:07
printing it over in japan um, you know
00:35:09
with uh, uh the benefits of otani and
00:35:12
yamamoto and sasaki Um, you know, they can
00:35:15
take on more risk and they've done that
00:35:18
and you know at the same time they've
00:35:20
also continued to produce Uh useful major league
00:35:23
pitchers from their farm system from their drafts,
00:35:26
uh and to trade for some as well
00:35:28
And so, you know, they've they've got decent
00:35:30
filler guys to you know to help them
00:35:33
ride out the leaner spots um You know
00:35:36
last year we saw the padres give them
00:35:37
chase for for most of the season And
00:35:40
you know the dodgers they didn't go out
00:35:42
and make a huge deadline deal.
00:35:44
Um, they didn't go out and You know,
00:35:48
they didn't panic and they you know, it
00:35:49
ended up being that they had to win
00:35:51
an extra round Of playoffs, you know, they
00:35:54
they you know waxed the reds in the
00:35:56
wild card series but I think they got
00:35:59
kind of lucky with the with with the
00:36:01
draw with the phillies who didn't have wheeler
00:36:03
who were suddenly without Wheeler and who had
00:36:04
some other built-in flaws and you know
00:36:07
had never figured out how to get a
00:36:09
productive outfield on that team uh last year
00:36:12
and then of course you've got um, you
00:36:15
know the the the kerkering play and the
00:36:17
uh, the great wheel play that uh defensive
00:36:20
play that they put in and And you
00:36:22
know that series was closer than the final
00:36:24
three games to one outcome um, and from
00:36:28
there the dodgers just rolled, you know, I
00:36:30
mean they just they just didn't look like
00:36:32
they they had uh, uh much trouble in
00:36:35
the uh Excuse me the nlscs the world
00:36:38
series was you know, one of the all
00:36:40
-time Uh classics and that one, you know
00:36:43
could have gone either way down to the
00:36:44
final pitch.
00:36:45
So You know, it just worked out for
00:36:48
them odd okay, so, um, you know, we
00:36:52
united did a nice overview of the season
00:36:54
but one of the things that that and
00:36:56
We always ask ourselves is why what makes
00:36:59
a team a perpetual winner?
00:37:01
And uh caden, uh, you talked about you
00:37:03
know Maybe the general manager the manager the
00:37:05
manager doesn't count who does this but the
00:37:07
the theme for me right now is Something
00:37:10
that I that I point out every year
00:37:12
when I teach this to my students where
00:37:13
we do a payroll adjusted Team quality score
00:37:16
over the last 25 years And if you
00:37:19
do that, there are three teams that just
00:37:21
stick out leading starting with the a's Followed
00:37:24
by the braves and the cardinals and there
00:37:27
they are again Doing it again.
00:37:29
You didn't mention the a's you I reminded
00:37:31
you about the cardinals.
00:37:32
What do you think about these teams?
00:37:34
you were talking about I mean There's so
00:37:36
many years of not every year, of course,
00:37:39
but but just on aggregates so frequently I
00:37:43
thought the guardians were in there as well.
00:37:45
Are they not the guardians?
00:37:45
The guardians are not quite for 25 years
00:37:47
They're more recent So if you go back
00:37:50
to the start of my my my data
00:37:52
set goes back to um after the last
00:37:56
strike So 95 said the rays I might
00:37:58
have said the rays and the rays are
00:37:59
also and but the rays are also much
00:38:01
more recent They were horrible for the first
00:38:03
you know, so those those are and so
00:38:05
what is it about these teams?
00:38:06
Is it analytics?
00:38:07
Is it farm system?
00:38:09
Is it ownership?
00:38:10
What what I think it's I think it's
00:38:11
different I think it's different in the in
00:38:13
in in those cases.
00:38:14
I mean, I think the a's You know
00:38:16
the name of your podcast I think is
00:38:18
still a reminder of what of the a's
00:38:20
got Uh a huge advantage from being early
00:38:23
adopters, uh when it came to analytics in
00:38:25
the so-called moneyball era um, and they
00:38:27
have you know, they have uh, always Done
00:38:31
their best to try to get uh, you
00:38:33
know as much of an edge as they
00:38:34
can despite being underfinanced and despite now You
00:38:38
know being nomadic um, you know and they've
00:38:42
and they've uh, They've had to invest in
00:38:44
you know, you know perpetually turn over the
00:38:47
roster and invest in young talent And right
00:38:49
now they've got some of the best young
00:38:50
talent they've had in a while um, you
00:38:53
know, there's there's still only 27 and 27
00:38:55
in an al west where um, the astros
00:38:59
and Mariners are having you know, serious problems.
00:39:03
Um But uh, you know, they've done well
00:39:06
for themselves.
00:39:07
I mean the cardinals I think are are
00:39:09
Maybe less analytically inclined Uh more farm system
00:39:14
oriented.
00:39:14
Um, we've seen that farm system.
00:39:16
I think Dry up somewhat in recent years.
00:39:20
Um, you know, uh, jordan walker and nolan
00:39:23
gorman and uh, uh, you know, I think
00:39:26
we're until this year pretty much busts in
00:39:30
terms of what they'd given to the cardinals
00:39:32
at the major league level the last few
00:39:33
years and uh, That really held the team
00:39:36
back um you know in the the free
00:39:39
agent investments they made or the the uh,
00:39:41
veteran acquisitions that they uh, uh stuck stuck
00:39:46
out for like, um, yeah paul goldschmidt and
00:39:49
nolan arenado Uh kind of went south, uh
00:39:52
a little bit more quickly than than we
00:39:54
would have expected um Braves though.
00:39:57
They're a great example.
00:39:58
I mean they've they've done a magnificent job
00:40:01
of uh growing Uh, you know through the
00:40:05
farm system they always seem to come up
00:40:07
with more pitching Uh, they've done they made
00:40:09
some great trades.
00:40:10
I mean, you know, it was a shock
00:40:12
when they let freddie freeman, uh jumped to
00:40:15
the dodgers um But the uh, the braves
00:40:19
made a great trade for matt olsen.
00:40:21
Who's a guy who?
00:40:23
um You know can it can hit 50
00:40:25
bombs in a season and plays better defense
00:40:28
than any other first baseman in the majors
00:40:29
probably Um, you know, they gave up talent
00:40:32
for that including the a's uh, uh, shay
00:40:34
langoliers, uh the catcher Um, but uh, they
00:40:38
came up with another catcher of their own
00:40:39
in in drake baldwin last year's nl rookie
00:40:41
of the year um You know and they
00:40:44
they had a bad year last year.
00:40:46
Uh, but they are you know, right back,
00:40:48
uh in contention this year and uh, uh,
00:40:51
despite uh, uh some injuries to the pitching
00:40:54
staff they've been without uh, Uh spencer schwellenbach,
00:40:57
uh, they've had uh, you know, they were
00:40:59
they were without spencer strider for a while
00:41:01
Uh, they had some other injuries in there.
00:41:03
Um, yeah, they look uh Like they're back
00:41:06
to being you know, the professional contenders that
00:41:08
we assumed they were coming into last year
00:41:11
Jay, let's chat a little bit.
00:41:13
I know the boys want to ask you
00:41:14
hall of fame questions And let me just
00:41:17
start with a simple question for the least
00:41:19
hall of fame oriented person here What is
00:41:21
different about your war model?
00:41:23
So the jaffe war model jaws, what yeah
00:41:27
So it's not just it's not just war
00:41:29
war is the war is the currency that
00:41:31
I use but I measure players uh using
00:41:34
both their career war Uh and their peak
00:41:37
war which I define as a player's best
00:41:39
seven seasons at large not necessarily consecutive um
00:41:42
because uh Peak ability and peak, you know
00:41:47
peak performance Uh really is I think what
00:41:50
separates the goods from the greats?
00:41:51
Um, you know those those those huge seasons
00:41:54
that that help propel a team towards a
00:41:56
pennant Can I react real quickly?
00:41:58
Why seven?
00:41:59
I might have thought peak would be more
00:42:01
peaked than seven Well, you know, I I
00:42:04
it's a it was basically a sweet spot
00:42:07
that I that I kind of found Uh,
00:42:09
I originally when I when I started with
00:42:11
jaws, um back in 2003 when I was
00:42:14
at baseball prospectus Or early 2004, I guess
00:42:17
I should say.
00:42:18
Um I was using best five years consecutively
00:42:23
Uh with some minor adjustments for injuries and
00:42:26
military service because you got a lot of
00:42:28
guys who missed a few key prime years
00:42:29
there Uh, I changed that to best of
00:42:32
seven Uh, I moved on from baseball prospectus
00:42:35
and switched to baseball references version of war.
00:42:38
Um Seven seemed to be a good spot
00:42:42
early on Uh when it came to differentiating
00:42:46
Differentiating between career value and and the peak
00:42:50
value Um, you know, you've got a lot
00:42:53
of guys who had a few great seasons
00:42:55
um, and you've got um A lot of
00:42:59
guys who had great careers, you know You
00:43:00
you want to try to find a a
00:43:02
measure that gives you a slightly different answer
00:43:05
from just going by career war Yeah that
00:43:08
helps to explain You know your short career
00:43:11
high peak guys like some of the ones
00:43:13
who are you know Like sandy koufax is
00:43:15
a good example and the system doesn't work
00:43:17
quite as well now um Because the baseline
00:43:21
for replacement level changed when I moved from
00:43:23
bp to baseball reference Um, but i've stuck
00:43:26
with seven because it still works pretty well
00:43:29
Um, the more years you add to peak
00:43:32
The more it tends to resemble Your career
00:43:35
measure anyway, like if you're going 10 years,
00:43:38
for example, you might as well You might
00:43:40
as well just be measuring by 10 years.
00:43:42
Um And if you go five you don't
00:43:45
differentiate enough seven is just a convenient sweet
00:43:48
spot, okay Okay, very good.
00:43:50
Uh, shane has a question here Well, I
00:43:52
guess I guess I mean since we're talking
00:43:54
about hall of fame Now anyway, my I
00:43:57
have a general question How many current hall
00:44:00
of famers are or how many hall how
00:44:03
many hall of famers are currently playing?
00:44:05
And is that number kind of small or
00:44:08
big relative to historically?
00:44:11
What it's been I mean Though that's kind
00:44:14
of lead into maybe talking about pitching.
00:44:15
Yeah, so okay.
00:44:16
So the long long if you look at
00:44:18
the 150 plus years of major league baseball
00:44:22
uh, what we see is Roughly when it's
00:44:27
all said and done you get about one
00:44:29
and a half to two major league hall
00:44:33
of famers per team per season um just
00:44:37
in in terms of like It could be
00:44:39
as little as a few as one appearance,
00:44:42
uh, or as many as playing 162 games,
00:44:44
but That's the long-term average and in
00:44:47
the 20s to the 40s um, you've got
00:44:51
uh well above two and briefly above three,
00:44:54
um what you see when you get to
00:44:57
the 1990s and onward is uh, that level
00:45:02
dips below one and well below one and
00:45:05
a lot of that just has to do
00:45:07
with the fact that you know that uh,
00:45:10
uh the post bbwa eligibility format, uh, by
00:45:15
which I mean the era committee and before
00:45:16
that the veterans committee, uh, Just has not
00:45:19
had its chance to admit all the players
00:45:22
that it's going to uh at any given
00:45:24
point So these are not settled numbers yet.
00:45:27
Um But it's also true that they're just
00:45:31
not and they're even with the writers electing
00:45:34
more players than ever In in their history
00:45:37
over a longer term, uh, the era committees
00:45:40
are not electing as many players um and
00:45:45
we're missing a whole bunch of players because
00:45:47
of uh, steroid related uh, uh, you know
00:45:52
performance and infractions and so we've lost some
00:45:55
so my assumption generally is that we're probably
00:45:58
looking at uh, Roughly one to 1.3
00:46:02
hall of famers per team uh So we
00:46:06
should be looking at about 40 future hall
00:46:08
of famers at any given time now I
00:46:10
don't think we're actually going to get to
00:46:11
that number Um, I think you're probably looking
00:46:14
at somewhere closer to 25 or so future
00:46:18
hall of famers and many of whom we
00:46:20
can name off the top of our heads
00:46:21
and some of whom I think will come
00:46:23
out of the pack and uh, uh surprise
00:46:26
us with their you know, incredible resilience or
00:46:29
or or whatever and and Um, just so
00:46:33
you know shane I had a feeling you
00:46:35
might ask this question Only reason I say
00:46:36
that is because I literally have up on
00:46:38
my screen because I was thinking someone might
00:46:39
ask this because I was Going to ask
00:46:41
j related question.
00:46:42
There are currently 15 major league players with
00:46:45
a war Of 53 and above and by
00:46:49
the way that 15th right now is jose
00:46:50
altuve Who I think most of us think
00:46:53
is likely to be a hall of famer
00:46:56
Um, yeah, but then you have guys Yeah,
00:46:58
for sure, but then you have guys like
00:47:00
oh as this is jay's other point like
00:47:02
juan soto who's not there yet But he's
00:47:06
very obviously very likely to get there But
00:47:09
i'd say for me I was gonna ask
00:47:11
j a similar question shane I think there's
00:47:14
a lot more hall of famers right now
00:47:16
than i've seen in the last 10 years
00:47:18
I mean, I think there's easily I would
00:47:21
have thought i'm glad you told me her
00:47:22
historical numbers I would have said the fact
00:47:24
that there's 20 to 25 guys now playing
00:47:26
that are Very likely to make the whole
00:47:29
of them.
00:47:29
I thought that was a big number, but
00:47:30
you're saying that's not wouldn't be a historic
00:47:32
Historically speaking.
00:47:33
It's not I mean, I I don't know
00:47:35
how it compares exactly to recent years because
00:47:38
again, you know, we're working with uh, uh
00:47:42
about a 30 year lag, uh when it
00:47:44
comes to that stuff even for You know
00:47:47
for to get a I think a usable
00:47:49
number.
00:47:50
Um and uh You know even so, you
00:47:57
know when you're talking about, you know, a
00:47:59
five-year waiting period and a 10-year
00:48:00
eligibility period You've got a minimum of a
00:48:03
15-year lag for for some of this
00:48:05
stuff to resolve itself um So it's a
00:48:08
it's it's tough, you know, I think I
00:48:11
think we have changed the way that the
00:48:13
bbwa functions in terms of recognizing Good candidates
00:48:18
soon, you know for the hall of fame
00:48:19
sooner.
00:48:20
We had a swell.
00:48:21
It was something like 22 Players elected over
00:48:24
a six or seven year period there Which
00:48:27
was the largest surge in recent history and
00:48:29
that was even with um, you know so
00:48:32
many candidates being rejected for their ped connections,
00:48:35
um You know, we saw guys we saw
00:48:39
guys get in on the strength of War
00:48:42
instead of just their career offensive totals, uh
00:48:45
guys who maybe did not Get to play
00:48:48
until they're 40 and approach 3 000 hits
00:48:50
guys like larry walker and scott roland and
00:48:53
todd helton who put up elite numbers Uh
00:48:56
in part because they were very good defensively
00:48:59
as well um You know, they didn't necessarily
00:49:02
reach the major offensive milestones that would have
00:49:05
put them into the hall, but the error
00:49:06
committees You know function differently and and largely
00:49:11
outside of the bbwa is uh, uh purview
00:49:14
that we contribute um, you know a few
00:49:16
voters per cycle, but uh, the hall of
00:49:19
fame itself is who's choosing that voting body
00:49:21
and its behaviors as i've documented before are
00:49:26
quirky to say the least and Uh subject
00:49:28
to the hall's heavy hand when it comes
00:49:31
to picking who actually serves on those committees.
00:49:33
So You know, I don't think everything, you
00:49:38
know things have changed, uh quite as much
00:49:40
there in in that way, okay odd All
00:49:44
right So I have a a bunch of
00:49:46
things to talk about Um, i'm going to
00:49:47
go backwards in time and point out that
00:49:49
I I also think seven is too long
00:49:51
But I would also say that I think
00:49:53
it probably needs to differ by position so
00:49:55
that that um, particularly say starting pitchers, I
00:49:58
would imagine a shorter period of dominance is
00:50:01
is It could define the the peak as
00:50:04
opposed to maybe a hitter where you might
00:50:06
want to have a little bit longer um,
00:50:08
I built my own hall of fame metric
00:50:10
for starting pitchers, um, And we call it
00:50:13
based on grid war which is a a
00:50:15
war calculated on a per game basis It's
00:50:17
only for starting pitchers and the couple curiosities
00:50:20
that come out of it is Um, well,
00:50:23
i'll just say i've talked about this in
00:50:24
our show.
00:50:25
Um, There's one pitcher that is so firmly
00:50:28
in the top group.
00:50:30
I mean in the deserving pile that's not
00:50:31
in it And it's not roger clemens because
00:50:34
of other reasons That's kevin brown and I
00:50:38
always I want to ask you about that
00:50:39
because people will say the pde usage Yes,
00:50:42
he was in the mitchell report but he's
00:50:44
certainly not in that top tier or even
00:50:46
second tier of known kind of abusers of
00:50:49
of um of performance enhancing drugs so He
00:50:54
was blown away on his first round and
00:50:56
most people point to the fact that he
00:50:58
never won.
00:50:59
Cy young's he's He's so good because of
00:51:01
modern analytics.
00:51:03
It goes back and looks what he did
00:51:04
at the time He did it and say
00:51:05
my god I mean, he's not pedro But
00:51:07
but he's he's not that far behind at
00:51:10
least in terms of his peak in the
00:51:11
late 90s And he had a wonderfully long
00:51:13
career.
00:51:14
He was terrific Put together a huge career.
00:51:17
I enjoyed him immensely on the o4 yankees.
00:51:19
Yeah, you did that was past his priority
00:51:21
past his prime But what what do you
00:51:23
so I guess I want to reflect on
00:51:24
kevin brown and then my guess my next
00:51:26
question would be Um, what which starting pitcher
00:51:29
is most deserving that uh, that is not
00:51:32
in the hall of fame Yeah, well let
00:51:34
me preface that by saying that starting pitching
00:51:36
is an area that is kind of in
00:51:37
a crisis when it comes to the hall
00:51:39
of fame stuff and that's why I think
00:51:42
one more reason why we're going to fall
00:51:44
short of the historic averages is because The
00:51:46
way that pitcher workloads have changed these guys.
00:51:49
I mean we're seeing the disappearance of the
00:51:51
200 inning guy uh to say nothing of
00:51:53
the 20 win guy, um And so we're
00:51:57
getting shorter careers.
00:51:59
These guys are throwing harder.
00:52:00
They're more susceptible to injury There's all kinds
00:52:02
of stuff going on there.
00:52:04
Uh, and traditional, uh, my even my traditional
00:52:08
jaws, uh Does not do a great job
00:52:12
because it's kind of over balanced towards these
00:52:14
heavy workload guys.
00:52:15
Um I've sort of adjusted for that.
00:52:18
Um by capping Uh each player's peak season
00:52:22
at 250 innings and scaling down for that
00:52:25
and even then after uh after clayton kershaw
00:52:30
Uh, justin verlander mack scherzer and zach granke
00:52:33
disappear from the scene It's not obvious who
00:52:36
the next hall of fame starting pitcher is
00:52:37
going to be um And I chris sale
00:52:42
Chris sale chris sale is probably yeah, I
00:52:45
would have said garrett cole before the tommy
00:52:47
john surgery now I think chris sales probably
00:52:49
surpassed him but sales probably not going to
00:52:51
get to 200 wins And we haven't had
00:52:53
a starting pitcher elected with fewer than 200
00:52:55
wins, you know pitcher wins are not a
00:52:57
great measure of value and and Excellence, but
00:53:01
uh just as a common benchmark Um, I
00:53:04
think we're seeing we're seeing a big change
00:53:06
there now back to kevin brown uh brown
00:53:09
had The mitchell report working against him.
00:53:12
He also had um Kind of a crash
00:53:15
and burn with that seven-year 105 million
00:53:18
dollar contract Um because he was injured so
00:53:21
often Um before that yeah, he was one
00:53:23
of the top pitchers in the game.
00:53:24
The other thing though.
00:53:26
I mean, you know besides the uh, uh
00:53:30
Turning his hand into a morocca during the
00:53:32
uh, the the 2004, uh, alcs collapsed by
00:53:36
the yankees um is brown Loathed the media
00:53:41
and vice versa and wasn't going to get
00:53:44
an inch of slack from the voters um
00:53:47
And so it really wasn't that surprising uh
00:53:53
Particularly just because of the mitchell report that
00:53:55
he went one and done um andy pettit
00:53:59
on the other hand perceived as a nice
00:54:01
guy also in the mitchell report nowhere near
00:54:03
as good a pitcher as Uh as kevin
00:54:05
brown was at his peak but you know
00:54:08
had uh longevity had a lot of postseason,
00:54:11
uh accomplishments to his name and has stuck
00:54:14
around long enough that You know, I don't
00:54:17
I wouldn't predict him for the hall based
00:54:19
on the fact that uh, he does have
00:54:21
still have the ped I would put I
00:54:23
for me, but don't listen to me.
00:54:25
I would put jacob degrom And I would
00:54:28
put king felix in the hall of fame
00:54:29
Yeah, you know, those are shorter career guys
00:54:32
and it's gonna it's it's going to take
00:54:33
that i'm it's it's good It's you know,
00:54:36
it's it's going to I mean we saw
00:54:37
felix get above 50 this year It's going
00:54:40
to take you know It's taking a change
00:54:43
in the electorate's thinking to start to come
00:54:45
around to these shorter career guys And I
00:54:47
think we're seeing the the the the tip
00:54:50
of it here I don't know that it
00:54:51
gets down to jacob degrom and fewer than
00:54:53
100 wins But it may well get down
00:54:55
to felix hernandez and what is you know?
00:54:57
150 wins give or take with you know,
00:54:59
the excellence that he had I think I
00:55:01
think the thing is though is you have
00:55:03
to go back is is once you get
00:55:05
once you start Electing those guys you have
00:55:08
to rethink all the guys From the last
00:55:10
40 years who came and went who were
00:55:12
every bit as dominant as felix um and
00:55:15
didn't have as long of careers as The
00:55:18
300 game winners who did get elected i'm
00:55:21
thinking about guys like johan santana.
00:55:23
Yeah Who went one and done come on?
00:55:25
Dave steve.
00:55:25
There it is.
00:55:26
That's the man steve who was you know
00:55:28
It was probably the best pitcher of the
00:55:30
1980s But never even won a cy young,
00:55:33
uh, david cone Uh, even dwight gooden ups
00:55:36
and downs, uh all in there, right?
00:55:39
Um, these are all there are a lot
00:55:40
of great pitch and and there and the
00:55:42
way that the error committees are set up
00:55:45
There is really no way that we can
00:55:47
equitably reconcile that lost generation or two of
00:55:53
pitchers, uh, and whether they're fit for the
00:55:57
hall with Whether we're talking about andy pennant
00:56:01
or felix hernandez or jacob de grum You
00:56:04
got guys that are that are clearly superior
00:56:06
to them that we're never going to get
00:56:08
a chance to vote for Because they went
00:56:10
one and done on the error committee on
00:56:13
the bbwa ballots and those guys Generally don't
00:56:17
get reconsidered by the error committee and when
00:56:19
they do it's they're long shots.
00:56:21
They're rounding out the ballots.
00:56:23
Um, you know ted simmons is the only
00:56:25
one to go that route and get in
00:56:27
the hall of fame and he had uh,
00:56:29
a significant booster on the error committee in
00:56:33
rick hummel the uh, uh long time, uh,
00:56:37
Uh beat writer for the cardinals and it
00:56:39
takes it.
00:56:40
It takes almost a miracle to get in
00:56:42
But you have to you have to present
00:56:44
it as like a rethinking like so Oh,
00:56:46
yeah No, we are you have to present
00:56:47
it like like kevin brown was was not
00:56:49
considered obviously He was an he didn't like
00:56:51
the media and mitchell report but he didn't
00:56:55
I mean you look at his career and
00:56:58
He he was never considered the dominant pitcher
00:57:01
of his era until you recognized that he
00:57:03
had no run support and that all of
00:57:04
a Sudden wins wasn't the only way to
00:57:06
judge a pitcher Um, and it's like a
00:57:09
reflection on how we actually think of pitcher
00:57:11
quality has to be retroactively moved backwards I
00:57:14
mean you can't I mean you can't think
00:57:15
of jacob degrom as good as he is
00:57:18
Santana was better.
00:57:19
I mean, I mean, yeah, but I think
00:57:23
It's not that we didn't recognize that kevin
00:57:25
brown was not a great pitcher I mean,
00:57:27
you know, he had won two era titles
00:57:29
uh was second third And Second and third
00:57:34
and a bunch of sixth in the cy
00:57:35
young award led, uh led the league in
00:57:37
war twice, uh b war that is um
00:57:40
You know, he was in those conversations he
00:57:43
just you know, it was there were also
00:57:45
there were other great pitchers at the time
00:57:46
like randy johnson and uh, uh and mike
00:57:49
messina and Whoever that you know that helped
00:57:52
steal the thunder.
00:57:53
Um But I do think that some of
00:57:57
it just still comes down unfortunately to personality
00:58:01
And Because the error committee can be selective
00:58:05
or because the committee that makes the ballot
00:58:07
for the error committee to be to to
00:58:12
process Can be as selective as they want
00:58:16
I don't see that they're going to cut
00:58:17
kevin.
00:58:18
I don't see that they're going to give
00:58:19
kevin brown a shot That's the problem.
00:58:20
Um, you know, they they can look at
00:58:22
kevin brown and say yeah, he's a mitchell
00:58:24
report guy He's never going to get in
00:58:26
because we keep voting down all these all
00:58:28
these guys You know who who tested positive
00:58:30
or who were in the mitchell report or
00:58:32
whatever?
00:58:33
They have every excuse to not put him
00:58:34
on there and just recycle somebody else and
00:58:38
it's i'm not saying that's fair I'm, just
00:58:40
saying that's the reality that i'm up against.
00:58:41
We'll let jay go We've got him up
00:58:43
here longer than we expected to have him
00:58:45
and it was great talking to you Jay,
00:58:46
appreciate you making time for us.
00:58:48
Jay jaffe senior writer for fangraphs author of
00:58:51
the cooperstown case book creator of jaws the
00:58:54
jaffe war score um hall of fame voter
00:58:57
member of bbwaa Often guest on mlb network
00:59:02
great gotta follow if you're interested in baseball
00:59:05
and baseball analytics That's been the show that's
00:59:07
been this week's show appreciate your being here
00:59:09
for the whole crew.
00:59:10
How do you want her?
00:59:11
Shane jensen eric randall This has been kade
00:59:12
massey for aaron tran running the board today
00:59:15
for us d patel The boss lady in
00:59:17
here in the studio with us appreciate it
00:59:20
and marissa reyna our producer Thanks to you
00:59:23
guys the listeners come back and join us
00:59:24
next time between now and then enjoy your
00:59:27
sports

Episode Highlights

  • Welcome to Wharton Moneyball
    Join Kate Massey and friends for a full hour of sports analytics.
    “Welcome to a full hour of sports analytics”
    @ 00m 03s
    May 27, 2026
  • Excitement in Sports
    With NBA, NHL, and MLB in full swing, there's a lot to discuss!
    “A lot going on with NBA, NHL, and MLB's in full swing.”
    @ 01m 16s
    May 27, 2026
  • Hockey Playoffs Delight
    The playoffs have been extra delightful, with thrilling games and no dislike for remaining teams.
    “This hockey playoffs has been extra delightful for me.”
    @ 03m 02s
    May 27, 2026
  • Hockey's Unique Quality
    Scoring is rare in hockey, making every moment thrilling.
    “Hockey has this quality because scoring is rare.”
    @ 17m 46s
    May 27, 2026
  • Baseball's Sobriety
    Baseball is characterized by its sober nature compared to other sports.
    “Baseball has a sobriety about it.”
    @ 20m 10s
    May 27, 2026
  • Historic Start for Mattingly
    Don Mattingly's first 20 games as a replacement manager are the best since 1880.
    “The best first 20 games for a replacement manager since 1880.”
    @ 29m 36s
    May 27, 2026
  • Dodgers' Playoff Journey
    The Dodgers faced challenges but rolled through the playoffs, showcasing their resilience.
    “They just didn't look like they had much trouble.”
    @ 36m 35s
    May 27, 2026
  • Analytics in Baseball
    Discussing the impact of analytics on team success, particularly the A's, Braves, and Cardinals.
    “What is it about these teams? Is it analytics?”
    @ 38m 06s
    May 27, 2026
  • Hall of Fame Metrics
    Exploring the Jaffe WAR model and its unique approach to evaluating players.
    “Peak ability really is what separates the goods from the greats.”
    @ 41m 39s
    May 27, 2026
  • The Hall of Fame Dilemma
    Discussing the challenges faced by pitchers like Kevin Brown in getting into the Hall of Fame.
    “It takes almost a miracle to get in”
    @ 56m 40s
    May 27, 2026

Episode Quotes

  • I enjoyed that game more than every Sabers game this season!
    Baseball’s Hall of Fame Debate Is Changing
  • Hockey has this quality because scoring is rare.
    Baseball’s Hall of Fame Debate Is Changing
  • Baseball has a sobriety about it.
    Baseball’s Hall of Fame Debate Is Changing
  • It just worked out for them, odd.
    Baseball’s Hall of Fame Debate Is Changing
  • The Braves made a great trade for Matt Olson.
    Baseball’s Hall of Fame Debate Is Changing
  • It takes almost a miracle to get in.
    Baseball’s Hall of Fame Debate Is Changing

Key Moments

  • Sports Analytics00:03
  • Guest Segment00:44
  • Playoff Excitement03:02
  • Game Atmosphere05:55
  • Hockey's Scoring17:46
  • Mattingly's Historic Start29:36
  • Pitching Crisis51:36
  • Hall of Fame Challenges55:45

Words per Minute Over Time

Vibes Breakdown

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