Phew, it’s quite difficult to keep up with all the roster moves, injuries, and playing time changes. In this crazy season, guys who haven’t even appeared above High-A ball are getting promoted and given significant roles. It’s nuts! If you’re not paying close attention, you may have missed some of the hitters who have become every day players. With only three more weeks of the season, playing time is king and jettisoning that guy who finds himself on the bench for the rando now getting regular at-bats is key to a strong finish. So let’s review some of the American League guys you might not have realized are now playing every day.

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Yesterday, I identified and discussed the qualified hitters who had raised their fly ball rates (FB%) the most versus last season. All else being equal, more fly balls leads to more home runs. Fantasy owners like home runs. Unfortunately, not every hitter has decided they wanted to participate in the fly ball revolution. So let’s check out the hitters who have sadly departed and experienced the biggest declines in FB% versus last season. This could help explain disappointing home run totals so far.

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An underreported avenue to increased home run output is FB%. It’s one of the three variables that directly drive HR/AB, along with strikeout and HR/FB rates. Since the denominator in fly ball rate is all balls in play, it stabilizes much more quickly than HR/FB rate, which uses the smaller denominator of just fly balls. So when evaluating a significant HR/AB change, put more weight on fluctuations in FB% than HR/FB rate when determining how sustainable the change is. With that background out of the way, let’s identify and discuss the hitters who have raised their FB% marks the most versus last season.

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The Padres are trying to set the trade deadline record for most players traded and have acquired perhaps the most valuable one available in Mike Clevinger. In the past, like as recent as last season, a move for a starting pitcher to the National League would be a boon, as he would no longer have to face the DH most of the time, except for when playing an interleague game in an AL park. The introduction of the universal DH this year removes that performance boost, so now we can easily compare apples to apples. So let’s take a look at the 2019 park factors and compare the Indians and Padres home parks to find out if Clevinger’s value changes at all solely based on his new home park.

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On Thursday, I listed and discussed some of the leaders in barrels per fly ball plus line drive rate (B/FBLD). Today, let’s check out the other end of the stick — those hitters bringing up the rear of the B/FBLD rankings. Once again, I arbitrarily chose at least 20 FB+LD as the minimum to qualify for the list. We’re going to identify those at 5% and below and discuss the interesting names that might be surprising to find.

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I think by now, we’re all familiar with the Statcast metric barrels. If not, Statcast defines it as thus:

The Barrel classification is assigned to batted-ball events whose comparable hit types (in terms of exit velocity and launch angle) have led to a minimum .500 batting average and 1.500 slugging percentage since Statcast was implemented Major League wide in 2015.

To be Barreled, a batted ball requires an exit velocity of at least 98 mph. At that speed, balls struck with a launch angle between 26-30 degrees always garner Barreled classification. For every mph over 98, the range of launch angles expands.

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Yesterday, I listed and discussed the top 20 starting pitcher SIERA leaders. Since the entire season represents a small sample size, you should be far more inclined to focus on a pitcher’s SIERA, driven by his underlying skills, than the ratios that actually count in your fantasy leagues, ERA and WHIP. The underlying metrics fueling SIERA stabilize far quicker and account for skills pitchers have more control over. It therefore makes for a significantly better rest of season projection, even though SIERA is meant to be backwards looking, not forward looking. With that said, let’s check in on the bottom 20 pitchers in SIERA and discuss the interesting names. As a reminder, just because a pitcher finds his name here doesn’t mean you should drop him or trade him away, as the pitcher could improve his skills, pushing his SIERA down into more attractive territory.

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Even though we are about halfway through the season, the league leader in innings pitched sits at just 40.2 innings. That’s far too small a sample size to find much meaning in traditional surface statistics such as ERA and WHIP (plus LD%, HR/FB, BABIP, etc). The results that feed into ERA take significantly longer to stabilize, so it makes more sense to focus on the underlying skills that pitchers have more control over. Luckily, we have a metric that takes all those underlying skills, throws them into a blender, and spits out a skills-based ERA. Of course, I’m describing SIERA, and it’s what I exclusively look at early in the season to forecast future performance, as it’s far better than ERA itself. So with that said, let’s take a gander at the top 20 qualified starting pitchers in SIERA and discuss any surprises.

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With a mid-to-high 90s fastball that has touched as high as 101 MPH and an elite splitter that has generated a SwStk% over 20% every season of his career, a lot has been expected of Kevin Gausman. You figured that with a two-pitch foundation like that, he would be racking up the strikeouts and rank as one of the better pitchers in baseball on an annual basis. And while he’s posted a couple of seasons of sub-4.00 ERAs, the underlying skills just haven’t been super impressive, and he sports a career ERA of 4.31. That’s perfectly serviceable, especially in a hitter friendly home park for most of his career in the American League. Sure enough, his career ERA- stands at an almost perfectly league average 101. So he’s been fine, but not what fantasy owners hoped for.

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Yesterday, I identified and discussed the hitting leaders in Max Exit Velocity (MEV). While acknowledging that MEV doesn’t tell the entire story you want it to, it’s always a positive to see a higher MEV versus a lower one. Today, let’s check in on the laggards. Naturally, a lot of these are obvious, so I’ll discuss the interesting names.

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