My last few articles have been deep dives on hitters who I felt may need their projection adjusted. Today, I’m going through the last few. Remember, this analysis is focused on the player’s talent projection changing and not on playing time.

Kyle Tucker (220nd in NFBC ADP)

I knew Tucker would make this list before the list ever existed. The 22-year-old flew through the minors and just destroyed AAA with a .332/.400/.590 triple slash line last season. Once he got the majors, the results stunk with him hitting .141/.236 /.203 in just 72 plate appearances.

And now the xStats come to his rescue since he was extremely unlucky with his batted balls. Here are his various actual and expected values.

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On Thursday, I identified and discussed the hitters(with at least 30 fly balls in each year) who increased their average fly ball distance (AFBD) marks the most from 2017 to 2018. Now let’s take a look at the biggest decliners. If a hitter on this list suffered a dramatic drop in HR/FB rate, this is likely why.

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A few days ago, I did a deep dive on several hitters I felt that I needed to personally adjust their projection. Today, I’m going through a few more. This analysis is focused on the player’s talent profile changing and not on playing time.

Paul DeJong (NFBC ADP of 191st)

The reason Dejong popped up on my radar was his broken hand from mid-May to early July. It seems like he may have returned a little too early and his results suffered.

Month: OPS
Apr: .866
May: .728
June: DNP
July: .589
Aug: .726
Sep: .777

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The grind of baseball can sometimes sap the joy from the sport. Thus, it’s refreshing when a champion of the people emerges. Such a hero appeared on the scene late in the 2018 season – Twins catcher Willians Astudillo.

The catcher/first baseman hasn’t been viewed as a legitimate prospect since he was a teenager in the Phillies system. Even then, you had to dig deep to find him. Now 27, he’s become a folk hero for his base running, home run antics, and refusal to walk or strike out. Scouts call him bad-bodied. To a layman, it looks like their pudgy local plumber is running around on a field with a bunch of chiseled professionals. Just wait until he bends over…

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On Monday and Tuesday, I discussed the surgers and the decliners in one of my xHR/FB rate metrics, barrels per true fly ball (Brls/TFB). Today, I’ll move on to another component of the equation, average fly ball distance (AFBD, because I’m lazy).

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Since the end of the regular season, I’ve been helping various publications write player previews for the upcoming season. During the process, I kept a list of hitters who I felt there may be reasons to adjust their talent projections. I’ve found that even when I normally deep dive into hitters, I come up close to the standard projection and wasted my time. I found I’m better off focusing my effort on pitchers. I can’t afford to ignore hitters, though. I’m now going to analyze these few in detail over a series of articles to see if their projection holds up or do I need to adjust it.

For some of the hitters, the reason behind the talent change (e.g. injury) is obvious. For others, I don’t remember the exact reason. Oops. I’m going to start working my way through them starting with the ones with the highest ADP.

Note: I’m only dealing with the player’s talent. Projecting playing time is an entire separate fiasco.

Justin Turner (109th in NFBC ADP)

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Yesterday, I devised a new expected strikeout rate for pitchers and used it to identify qualified starting pitchers who over- or under-performed in 2018. I’m reluctant to make out the exercise to be more than it is. I simply wanted to take the most intuitive approach to describing a pitcher’s strikeout rate (K%): by using the plate discipline exhibited by opposing hitters. Today, I seek to do the same for hitters. I can tell you now the discussion will be much more qualitative than quantitative.

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Yesterday, I identified and discussed the hitters that increased their barrels per true fly ball rate (Brls/TFB), a metric that makes up one of my xHR/FB rate components. Let’s now take a gander at those whose Brls/TFB rates declined most from 2017 to 2018. We’ll limit the list to declines of at least 10%.

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A year ago, I introduced the newest version of my xHR/FB rate equation. One of its components is barrels per true by ball rate (Brls/TFB), which divides the Statcast Barrels count by fly balls – pop-ups. The use of true fly balls, rather than the batted ball events (BBE) count the Baseball Savant leaderboard shows us, pits all types of hitters on the same playing field, instead of unfairly penalizing extreme ground ball hitters or benefiting extreme fly ball hitters.

Let’s take a look at all hitters with at least 30 true fly balls that increased their Brls/TFB rate by at least 10%. Then I’ll discuss the interesting names.

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About a week and a half ago, Jurickson Profar was traded to the Athletics, in a move that surprised me. After he finally enjoyed his first full season, and a solid one at that, now the Rangers are sending him away?! Too funny. I still remember when he was an uber-prospect many, many years ago. How might the move to Oakland affect his performance? Let’s check the park factors.

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