I’ve got the draft and auction for two 12-team leagues coming. The Beat Jeff Zimmerman league is this Sunday night at 8 EST and also the mixed LABR auction in Florida. I’ve been grinding down the top-360 players (12 teams x 30 players per team). In these shallower formats, playing time is key for any mid to late-round targets. The following four teams are giving me pause when considering rostering some of their players.

Reds

The Reds have two or three too many players and several players will end up in the 450 to 550 PA range. When healthy, I believe Joey Votto, Mike Moustakas, Nicholas Castellanos, and Eugenio Suarez are safe. Freddy Galvis should be but his bat is so bad, he could lose playing time to possibly Nick Senzel.

The congestion starts in the outfield. Senzel is going to try to play center with Shogo Akiyama, Phillip Ervin, and Travis Jankowski as backup options. That leaves Akiyama along with Aristedes Aquino and Jesse Winker fighting it out for the right-field job.
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Last week, I used my hitter xBABIP equation to identify and discuss 8 hitters who could enjoy significant BABIP spikes this season, if they maintained the underlying skills driving those marks. Today, I’ll talk about the other side of the coin, those hitters whose xBABIP marks suggests serious downside this season, unless they improve their underlying skills.

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Over this off-season, I have uncovered potential undervalued players by comparing the Steamer projections to the current NFBC ADP. So far I have gone through undervalued speedsters, power bats and outstanding batting average players. The exercise now continues for runs batted in.

In 2019, there were 57 players with least 85 RBI. There were 28 players who exceeded the 95 RBI mark, and 17 with at least 105. Anthony Rendon of the Nationals led all of baseball with 126 runs batted in. Jose Abreu led the American league with 123. Following them were NL East first basemen Freddie Freeman (121) and Rookie of the Year Pete Alonso (120).

As we have seen in batting average, prospective projections are more conservative. Steamer projects J.D. Martinez to lead baseball in the RBI category with only 119. Only six players are projected to knock in more than 110 runs.

For this year’s analysis, I will focus on all players with a Steamer projection of at least 85 RBI. This should give us a group of players who can greatly help your team’s RBI totals in the upcoming fantasy season.

For today’s draft value comparisons, I look at:

• The player ranks as computed by the FanGraphs Auction Calculator with Steamer projections (standard NFBC 15 team roto league settings).
• The current NFBC ADP (of all non-auction leagues from January 27, 2020 to present). 48 leagues in total were observed.

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A little more than a year ago, Al Melchior had the brilliant and beautifully straightforward idea of investigating how strongly pretty much ever Statcast metric correlated with various traditional power metrics and compiling them in one post. He asked me to help out, which I was more than glad to do.

Recently, I saw folks talking about this again, and someone asked specifically about the 2019 season. I figured I could refresh the values from the original post quickly enough (certainly a lot more quickly than I did last time), and it would also help bring pertinent information to the fore for folks neck-deep in draft prep.

Spoiler alert: the results barely changed. But! I do feel more confident in this particular set of values, as I nerded out with programming instead of pulling dozens of different queries from the Baseball Savant search function and constantly getting frazzled.

OK, here’s the goods. For 2019 hitters:

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Two years ago, I introduced you to the latest iteration of my hitter xBABIP equation, this time incorporating the effects of defensive shifts. Let’s find out which fantasy relevant hitters most underperformed their xBABIP marks in 2019, suggesting the potential for dramatic upside in 2020…if the hitter maintains those underlying skills.

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Expected weighted on-base average (xwOBA) is one of Statcast’s most important additions to the Sabermetric sphere. It’s a simple premise — estimate a hitter’s deserved production based, simply, on his combinations of exit velocity (EV) and launch angle (LA) — with robust implications and applications. It’s remarkable how powerful the metric is with just two inputs.

However, the metric is not without its faults (or complaints from those who use it). Its simplicity is beautiful but inherently and knowingly lacking, accounting minimally or not at all for:

1. spray (lateral) angle (touched upon here),
2. a player’s foot speed (discussed more thoroughly here),
3. park factors, and
4. opposing defense.

None of this necessarily serves as an indictment of xwOBA. The number of inputs you include affects the purpose you want it to serve. That is, do you want it to be descriptive or predictive? How about both? Maybe defense shouldn’t be included, then, if we can’t reasonably expect a hitter to face the same caliber of defense each year, something that is out of his control.

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Today, I move on from xHR/FB rate and its components to my xBABIP equation. Every year, there are some seemingly obvious candidate to regress (like the guy who just BABIP’d .390) or improve (like the guy who just BABIP’d .210). But what about the guys hovering within range of the league average of .298? Just because their BABIP marks were close to average doesn’t mean their skills supported such a mark. So let’s discuss hitters who posted a seemingly sustainable BABIP, but xBABIP suggests the mark was either way over their head or actually below what their skills suggested.

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Yesterday, I used my xHR/FB rate equation to identify and discuss 7 hitters who could enjoy a HR/FB rate spike in 2020, assuming they maintain the component skills they displayed in 2019. Now let’s turn to the other side, those hitters who dramatically outperformed their xHR/FB rates and could be in for regression this year, unless they improve their underlying skills, or paid off Lady Luck once again to ensure fortune is on their side. As you might expect given the home run explosion, there were more overperformers than underperformers, so I had to cut it off at 6% over xHR/FB rate.

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Early this offseason, I determined that Mike Matheny doesn’t hate stolen bases, but could be a boost to the Royals stolen bases. At the time, I noted to check on Joe Maddon’s tendencies but never got to it. Then, my podcast mate, Rob Silver, basically begged me to run the same analysis for Dusty Baker. After that, one of my other team owners brought up Joe Girardi and Gabe Kapler. I was done talking to people before every manager needs to be analyzed on their stolen base tendencies. The following are the numbers on the four and the results were a little surprising.

To examine the managers’ tendencies, I compared how the baserunner’s tendencies changed with or without the manager in question. There were three groups of hitters to examine

1. The hitters who were on the manager’s team and then on a different one that same season.
2. Hitters who were on a different team the season before or after a season on the manager’s team.
3. The hitters who were on the manager’s team the season before or after his tenure started and ended.

Also, I combined all the values for an overall rate.

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Finally, it’s time for the main event! After weeks discussing the various xHR/FB rate components and reviewing 2019 performance, we now set our sights toward 2020. Today, I will identify and discuss a handful of fantasy relevant names that underperformed their xHR/FB rates most significantly. Remember that this doesn’t automatically mean we should be projecting a higher HR/FB rate this season. But perhaps rather than take the hitter’s actual HR/FB rate at face value, we should substitute our xHR/FB rate mark when reviewing his historical marks and making a 2020 projection.

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