Archive for Meta Analysis

When I hear or read about a hitter playing through an injury my interest perks up and he becomes an immediate draft target. Standard projections have no idea these players played hurt and the lower production keeps down future estimations. Savvy owners can give these players a small talent bump and reap some nice rewards. My current request to create a detailed list of hitters playing through injuries for 2019 preseason research and to test after next season.

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Baseball has a problem, one I’ve personally touched upon numerous times on this site, my personal blog, twitter, in chats, and whilst walking around the grocery store. The traditional role of starting pitchers is dissolving. Even though it has led to teams playing smarter, it’s also deteriorating the product on the field. Baseball, after all, is selling entertainment. We like to pretend that winning equals entertainment, but perhaps that’s not always the case. In fact, we have some decent evidence it is, indeed, not the case.

I explained the problem from a high level on my Patreon yesterday (paywall). I’m hardly the only person to notice this issue – it’s a frequent talking point among baseball circles. Recently, Ben Lindbergh of The Ringer quantified the ways in which starting pitchers are ceding innings to relievers. Bill  James had a rare good tweet about the point of baseball (i.e. entertainment). Jeff Sullivan kindly confirmed that people are pissed via a poll. Sometimes, writers aren’t the best barometer of fan preferences. In this case, we’re all on the same page.

When the way baseball is played changes, so too does the way we play fantasy baseball. The latest trends in pitch usage have altered the way I will approach the 2019 season.

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Every season a few hitters come out of nowhere to become major fantasy contributors. And by nowhere, I mean no one targeted them at all during draft season, even in 50-man roster draft-and-holds. This past season, Max Muncy, Joey Wendle, and Luke Voit provided fantasy production for nothing. An interesting trait for each of these hitters is that savvy teams targeted them in trades before the breakout. In recent seasons, these breakouts include Chris Taylor. Jose Martinez. and Jesus Aguilar. While the general public doesn’t have the same resources, scouts, and data as major league teams, I found the general traits some teams are looking to acquire.

I asked for help in creating the list. I end up with many responses but I wanted productive hitters on no one’s radar. I removed a suggestion if the hitter was on any top-100 list (e.g. John Hicks) or if they were ever an MLB regular (e.g. Scooter Gennett). In the end, 12 hitters made the cut: Chris Taylor, Max Muncy, Luke Voit, Joey Wendle, Jose Martinez, Jesus Aguilar, Teoscar Hernandez, Adam Duvall, Daniel Palka, Eugenio Suarez, Mitch Haniger, and Justin Turner.

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In the #2earlymock drafts run by our own Justin Mason, Javier Baez is going 17th and Trevor Story is going 20th among all hitters. The picks are quite high considering Baez was the 58th hitter taken, and Story was 65th in NFBC drafts last year. The pair didn’t have must-draft preseason hype and their suspect plate discipline limited their perceived value. Both exceeded all expectations as they came in at 6th and 7th overall this year. This was a huge miss by the industry and I’m going to see if some traits point to why some low plate discipline players break out and others don’t.

For every Baez and Story, other bad plate discipline hitters failed like Byron Buxton (.383 OPS), Chris Davis (.539 OPS), Miguel Sano (.679 OPS) and Jonathan Schoop (.682 OPS). No obvious difference stood out. While Chris Davis is old, Buxton, Sano, and Schoop should be in their primes. To find out who may break out, I decided to start with the 2018 Bad Plate Discipline Class.

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Every fantasy owner should sit down in the next week or so and reflect on what went right and wrong in their leagues. More than reflecting, they need to take a few notes on the journey to help themselves improve next season.

The process doesn’t need to take a while but an owner should at least get a couple points, good and bad, on each league. It’s time for a little humility because some owners need to continue to take positive small steps forward. The rest of us need to start catching up. Hopefully, the following will nudge a few owners to take some notes before going into offseason mode.

Reviewing My Leagues

Overall, my season was a huge disappoint and I knew it was going to be a rough finish a couple months into the season. I made so many preseason and early season mistakes, I could never recover. Here are my leagues in order of finish.

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With the season coming to a close, now is a good time to look back to see which MLB teams provided fantasy owners with the most valuable offensive resources this season.

This chart looks at players currently ranked in the top twelve at each offensive position (and top fifty at outfield) in both CBS (points) and ESPN (roto) rankings, broken down by team. If you’re curious about which players where ranked where, a more detailed breakdown of the ranks are found here. If a player was eligible at more than one position, they were only included once, and if a player was ranked in the top twelve in one format, but not the other they were not included. If a player was traded, the team which they played the majority of their games with was given credit.

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I use xwOBA as a leading indicator of good or bad things to come mid-season, for better or for worse. It’d be good to know if such reliance is truly warranted. I further talked myself into the idea when I wrote about several underperforming hitters in early June. Many of the names therein went on some serious heaters afterward, too. It wasn’t as prescient as it was playing the odds: the hitters underperforming xwOBA most extremely through two months always, always (in the Statcast Era^TM) bounce back to some degree.

It’s “predictive,” but not universally so, and only by virtue of common sense, in the same way a pitcher who allows a sub-.200 batting average on balls in play (BABIP) through two months could not reasonably sustain this high level of contact management. (There’s a discussion to be had here about the gambler’s fallacy, but I don’t think it necessarily applies to baseball. For another day.)

In terms of prior work, it’s all Baseball Prospectus‘ Jonathan Judge (only a slight exaggeration): he compared xwOBA to BP’s DRA metric as well as FIP (fielding independent pitching), a much simpler ERA estimator, and showed xwOBA is hardly superior to the field, at least for pitching. However, the article only covered year-to-year, not in-season, correlations.

After our dear and departed (but not dead) Eno Sarris asked Judge if he had looked at in-season correlations specifically, and after our dear and departed (and also not dead) Mike Petriello reinforced the notion that xwOBA could serve as an in-season predictor of regression under certain circumstances, I figured it’s high time I just tackle the question.

So: How predictive is xwOBA of wOBA in-season? For hitters and for pitchers?

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I don’t really know. Thanks for reading!

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Since returning from the disabled list (neck nerve impingement), Stephen Strasburg’s fastball velocity has dropped from averaging 96.1 mph to averaging 93.9 mph. For a pitcher known for bringing the heat, the decline immediately impacts his value going forward. The question isn’t if but how much will be the decline.

First, I completely understand Strasburg could get his fastball velocity back as soon as his next start (the chances for this could be another whole article). When determining the 30-year-old righty’s value, I needed to plant a flag at some velocity and then come up with a projection.

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While going through my Tout Wars league’s transactions, I noticed Robbie Ray was released. While I felt Ray’s price was too high for me during draft season, my gut assumed he should still be rostered. My head said to dive in and find the reason for cutting a seemingly valuable resource. Today, I’ll examine how the actual and perceived values differ and how these moves can help make future decisions.

To start with, here is a quick dive into how Ray has done this season and spoiler alert… it’s not pretty. Even though his 11.7 K/9 is the 5th highest (min 80 IP), his 5.0 BB/9  is also the 5th highest. The walks, along with his 4.73 ERA, are tough to absorb. Additionally, his ERA is about a run higher than his xFIP and SIERA. The 26-year-old lefty has always been hittable with a career .316 BABIP and 1.2 HR/9.

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