This is probably a main blog fantasy masquerading as a fantasy blog post. I’ll analyze zero players, discuss no strategies, and only once reference a draft (<—there it is!). Instead, let’s talk about the future – specifically how millennials (and whatever post-millennials are called) will want to consume televised baseball. It’s a future that’s simultaneous brilliant and illegal.

It’s time for micro-broadcasts.

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We all know a park’s dimensions, foul territory, hitter’s backdrop, atmospheric effects, etc. play a significant role in shaping our projections and on a player’s performance. Collectively, we know these effects as park factors. We are probably most aware of a park’s home run park factor. I’m sure that for many parks, you have a perception in your mind as to its home run friendliness. The data might say otherwise, but at least you think you know, unlike, say, triples, which I’m sure most haven’t a clue which parks are best for boosting the three-bagger. Unfortunately, while the idea of park factors is sound, they are extremely problematic to rely on.

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In combing through last season’s reliever rankings, something looked a little different. Among CBSSports.com’s top 25 relief-eligible pitchers in Roto value, there were five relievers with fewer than five saves and no more than one start who made the cut. If you toss in Mike Minor, who notched six saves, he joins Chris Devenski, Chad Green, Yusmeiro Petit, Andrew Miller and Matt Albers to make it an even half-dozen. In 2016, only Brad Brach and Nate Jones met those criteria and finished among the top 25.

What Brach and Jones had in common was tossing 70-plus innings with strong strikeout rates, decent control and low BABIPs. Brach also helped himself by vulturing 10 wins. From the 2017 cohort, Devenski and Petit both exceeded 80 innings, and Green threw 69 frames. Miller was limited to 62.2 innings, but he was still good enough to squeak in at No. 23. It’s hardly surprising that the number of non-closers in the upper echelons of fantasy relievers grew, given that starting pitchers threw fewer innings per start. The trend of managers relying more on relievers doesn’t seem to be going anywhere, so targeting the top non-closers now needs to be a part of the draft prep process.
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The transcript from Friday’s chat is below!

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It’s tough to get excited about this year’s batch of rookie pitchers. One reason is that most of the top arms (Reyes, Gohara, Buehler, Flaherty) have already debuted in the majors. Many of the other top-ranked arms have not pitched in double-A yet.

With this year’s class looking down, there always seems to be a few pitchers who come out of nowhere like Luis Castillo did last season. He wasn’t picked among the top 600 players in NFBC and now he near a top-100 pick. Jake Faria and Dinelson Lamet were a couple other arms who were off owner’s radars. It just takes a pitcher gaining a couple ticks on his fastball or developing a new pitch to shoot up in talent.

I found it best to be aggressive on this these mid-season call-ups. They may be getting promoted because they are ready. Investigate any recent scouting reports and don’t be afraid to roster them if they’re talented.

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Eric and Kiley have graciously taken the time to give us some of the best prospect content on the net, but today as prospect week continues I’ll provide a quick fantasy spin for each of the 2018 Top 100 prospects. The goal here is simply to each prospect’s grades and scouting reports and then translate those skills into “what could be” for fantasy context (for example where “upside” might represent an 80%+ outcome on a prospect’s potential).

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2/8/18

The latest episode of “The Sleeper and the Bust” is brought to you by Out of the Park Baseball 19, the best baseball strategy game ever made – available NOW on PC, Mac, and Linux platforms! Go to ootpdevelopments.com to order now and save 10% with the code SLEEPER19!

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• @sporer – Host
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Notable Transactions/Rumors/Articles/Game Play

• • Todd Frazier to NYM (4:20)
  • Seung Hwan Oh to TEX (10:24)
  • Alex Avila to ARI (15:02)
  • Andrew Susac to BAL (18:37)
  • Ervin Santana out 10-12 wks w/finger surgery (20:30)

Strategy Section: OF Tiers by ADP (28:40)

We didn’t have a set outline of who to discuss so we ended up just going over the top 80 or so OFs breaking them into groups by ADP.

• ADP link

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Approximately 127 minutes of joyous analysis.

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Let’s just get this out of the way. I really like Luis Castillo. I like him for all the reasons Jeff Sullivan and Nick Pollack also really like Castillo (Sullivan’s post, Pollack’s post). I emphasize my ‘like’ of Castillo because the rest of this post is about his downside; all the various scenarios in which Castillo isn’t the shiny bauble we witnessed late last season.

The real world has repeatedly confirmed that humans are really shitty at thinking probabilistically. NBC’s Craig Calcaterra was discussing this very topic earlier today with regard to politics. Remember when Nate Silver predicted Hillary Clinton would win with something around a 75 percent likelihood? That meant a Trump victory had the same odds as flipping a coin heads up twice in a row. That happens a lot. In fact, it happens one quarter of the time. Silver wasn’t wrong – at least, we can’t know that he was wrong without a LOT more data. A Trump victory was well within the realm of possibility.

The Castillo painted by Sullivan, Pollack, and others may be here to stay. He existed for a time in 2017. Performing at a high level is a great indicator for future ability to perform at a high level. Still, we as an industry are getting a little crazy about 89.1 good innings. Here’s how it could all go wrong with my guestimated risks. Adjust those however you wish.

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A couple weeks ago, I used our newly installed NFBC ADP data to pluck out some potential hitting breakouts via Steamer 600 projections. I have some pitchers for you today. Honestly, the pitcher iteration of this isn’t quite as juicy as the hitters. I think it’s because pitchers displaying strong skills are elevated into prominent roles sooner than hitters so there aren’t many guys with mid-3.00 or better ERA projections in a low innings totals. In fact, the projections of the guys I picked aren’t that great, but I’m willing to bet on them as I believe they can outperform the projection substantially. The first three are guys I’m actively targeting in my drafts while the latter three are bigger injury gambles meant for reserve rosters in mixed leagues.

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After two days discussing individual players with apparent upside and downside given their fly ball pull percentages (FB Pull%), it’s time to really get to know the metric. Let’s begin by looking at the leaguewide trend over the last 10 years.

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