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Effectively Wild: A FanGraphs Baseball Podcast

Effectively Wild Episode 2132: Season Preview Series: Blue Jays and Reds

Effectively Wild: A FanGraphs Baseball Podcast

Ben Lindbergh, Meg Rowley

Baseball, Sports

4.72.7K Ratings

🗓️ 2 March 2024

⏱️ 113 minutes

🧾️ Download transcript

Summary

EWFI
Ben Lindbergh and Meg Rowley talk to FanGraphs writer Ben Clemens about the site’s ongoing efforts to model team depth and factor it into projections, then preview the 2024 Toronto Blue Jays (30:46) with The Athletic’s Kaitlyn McGrath, and the 2024 Cincinnati Reds (1:16:31) with The Athletic’s C. Trent Rosecrans.

Audio intro: Gabriel-Ernest, “Effectively Wild Theme
Audio interstitial 1: Cory Brent, “Effectively Wild Theme
Audio interstitial 2: Xavier LeBlanc, “Effectively Wild Theme
Audio outro: MulderBatFlip, “Effectively Wild Theme

Link to Other Ben’s blog about depth
Link to Ben’s depth tables
Link to bullpen chaining explainer
Link to projection limitations
Link to Ben on odds calibration
Link to Ben on odds calibration 2
Link to “model talk” pods
Link to Jays offseason tracker
Link to Jays depth chart
Link to Stark on Ohtani’s flight
Link to Sheehan on Rogers Centre
Link to Kaitlyn on Varsho
Link to Statcast park factors
Link to OF OAA leaderboard
Link to OF DRS leaderboard
Link to Kaitlyn on Berríos
Link to 2019 FG cutter post
Link to cutter tweet
Link to Ben on new pitches
Link to Kaitlyn’s fan survey
Link to Mattingly beard
Link to Kaitlyn’s Athletic archive
Link to Reds offseason tracker
Link to Reds depth chart
Link to FG payrolls leaderboard
Link to 2023 Senzel article
Link to team SP projections
Link to team RP projections
Link to story about Reds bunting
Link to 2023 bunt hit leaders
Link to BP on Friedl
Link to bunting Stat Blast
Link to story about bench coaches
Link to Reds bench coach story
Link to conservation of matter
Link to C. Trent’s Athletic archive

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 Email Us: podcast@fangraphs.com

Source

Transcript

Click on a timestamp to play from that location

0:00.0

effectively wild.

0:07.0

Hello and welcome to episode 2132 of Effectively Wild, a fangrafts baseball

0:17.2

podcast brought to you by our Patreon supporters. I'm Big Rowley of

0:20.0

fan graphs and I am joined by Ben Lindbergh of the wringer Ben how are you?

0:23.3

I'm doing great because we've got a great show for you today that always makes me feel

0:28.5

like a late-night TV host when I say that it's just the default it always a great show. I'll tell you when it's a terrible show. I'll let you know in advance. We have two previews teed up so we'll be talking about the Toronto Blue Jays with Caitlin McGrath of the

0:43.6

athletic and the Cincinnati Reds with see Trent Rosecrans of the athletic but for

0:49.0

the intro only we are joined by another member of the fan graph staff other Ben Ben Clemens. Hello Ben.

0:56.2

Hey Ben how's it going? It's going well so instead of deep thoughts by Jack handy Let's do depth thoughts by Ben

1:03.8

Clements because you have been blogging about depth and we thought this would be a

1:09.7

good subject for the intro because this comes up often in our team preview pods.

1:13.9

We're always talking about, okay, who's next?

1:16.7

Who's the sixth through tenth starter?

1:19.6

Who's on the bench?

1:20.7

What happens if this guy gets hurt? And that is a thorny problem. the we have acknowledged on the podcast and fan graphs and writers have acknowledged in writing that this is maybe an aspect of baseball that the projections don't currently do a great job of modeling and taking into account. So as Brad Pitts, Billy Bean

1:46.7

says in Moneyball, what's the problem? Why do we want to solve this problem and why is it so tricky to solve? The reason that this is a problem

1:55.2

is because we've designed the fan graph projections. I mean I say we but you know

1:59.5

David Appleman and a lot of people a long time ago have designed the fan graphs projections to be very simple, very hard to break, which I think is good.

2:07.5

It makes them work really consistently.

2:09.5

And what we do is we just figure out how much each player is going to play,

2:12.0

take some projections for how good they are, and figure out how much each player is going to play, take some projections for

2:13.4

how good they are and figure out how good teams are based off of that.

...

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