Effectively Wild Episode 1853: What Are the Odds?
Effectively Wild: A FanGraphs Baseball Podcast
Ben Lindbergh, Meg Rowley
4.7 • 2.7K Ratings
🗓️ 26 May 2022
⏱️ 107 minutes
🧾️ Download transcript
Summary

Ben Lindbergh and Meg Rowley talk to Kelly Pracht, the CEO and co-founder of predictive analytics startup nVenue, which has provided the real-time probabilities displayed on this season’s MLB Network-produced Friday Night Baseball broadcasts on Apple TV+. They discuss nVenue’s origin story, its sports-betting ambitions, its 100-plus-input machine-learning model, which factors are and aren’t predictive of performance, Ben and Meg’s misgivings about some of the displayed probabilities, and much more. Then (1:04:37) Ben and Meg bring on FanGraphs writer Ben Clemens to discuss the results of his study about how nVenue’s odds compare to a simplistic, one-factor model, and why they think the accuracy of the system matters.
Audio intro: Remember Sports, “Odds Are”
Audio interstitial: Sunflower Bean, “Beat the Odds”
Audio outro: The Rock*A*Teens, “Count in Odd Numbers”
Link to Friday Night Baseball details
Link to nVenue’s website
Link to article about nVenue fundraising
Link to SportTechie on nVenue
Link to SportTechie on nVenue again
Link to D Magazine on nVenue
Link to InnovationMap on nVenue
Link to nVenue YouTube video
Link to nVenue on PitchBook
Link to nVenue on Crunchbase
Link to Emily Bender on AI
Link to machine learning wiki
Link to overfitting explainer
Link to SABR on machine learning
Link to “reach base probability” tweets
Link to Ben Clemens’s nVenue study
Link to Ben’s study data
Link to Brier score wiki
Link to league count splits
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Transcript
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| 0:00.0 | Well and welcome to episode 1853 of Effectively Wild, a baseball-thide cast from Vandras |
| 0:29.2 | presented by our Patreon supporters, and then the burger of the ringer joined by Meg |
| 0:33.7 | Rally of Cancress, hello Meg. Hello. So there's been a bunch of baseball news |
| 0:37.8 | since we last spoke and we want to discuss it and we will next time before the |
| 0:42.2 | end of this week, but today we are going to give you something that we've been |
| 0:46.3 | hoping to bring you for a while. We are devoting all of this episode to the |
| 0:50.8 | probabilities that have been appearing on Apple's Friday Night Baseball |
| 0:55.4 | broadcasts, which are co-produced or produced maybe entirely by MLB Network. |
| 1:01.0 | For the entirety of this season, every Friday, since the start of the year, there have been two |
| 1:05.7 | games every Friday evening that have appeared on Apple TV Plus, and as many people have noticed, |
| 1:12.3 | those broadcasts include real-time probabilities, which are updated from pitch to pitch on the |
| 1:18.2 | bottom right of the screen. So sometimes they will show a probability that the hitter will get a hit, |
| 1:23.8 | sometimes they'll strike out, sometimes they will reach base, etc. So of course, we were interested |
| 1:30.6 | in this from the start. In fact, I think even before these first appeared, I may have mentioned |
| 1:34.9 | on the podcast that they were going to appear because I read it in a press release, and we were |
| 1:39.6 | interested. Our interest was peaked, I would say, right? We were kind of into this idea. |
| 1:44.2 | Yeah, we were into the initial concept for sure. Yeah, I was curious to see what it would look |
| 1:49.1 | like at least. And so I tuned in, and I still thought the concept was kind of cool. I don't know |
| 1:55.8 | if it's essential. I don't know if it would enhance the enjoyment of the broadcast to everyone, |
| 1:59.9 | but basically on board with the concept. But there were certain odds that were raising red flags to |
| 2:08.2 | me, or at least not what I would have expected to see. Let's see. As I would put it, basically, |
| 2:13.8 | either I fundamentally misunderstood baseball in some way, or there was something weird going |
... |
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