Archive for hard contact

Who Will Follow Dallas Keuchel’s Lightly Traveled Path?

As we anticipate Dallas Keuchel finding a new home this offseason, we should probably be wondering more about where he will be locating his sinker in 2019 than where his moving van is headed.

Sinker location has been key to Keuchel’s success, and his mostly-consistent five-year run has been nearly unique this decade. When he shaved more than two runs off his ERA from 2013 to 2014, Keuchel had a dramatic breakout that may have been most notable for what didn’t change. He didn’t throw substantially harder. He wasn’t notably better at throwing strikes or getting whiffs, chases or freezes. Keuchel did induce more grounders, but his biggest improvement came in his avoidance of hard contact. His rate dropped from 29.3 percent to 19.7 percent, and in the four seasons that followed, Keuchel continued to demonstrate that skill — as long as his sinker was down and away from righties.
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When Soft and Hard Contact Can’t Explain Home Run Power

Wilmer Difo seems to be taking the Daniel Murphy trade in stride.

He received starts at second base in the first two games of the post-Murphy era in D.C., and he went 3 for 8 with each hit being for extra bases. (He also started for a third straight day on Thursday, though as of this writing, he is taking an 0-fer.) Difo has speed and can spray line drives, but power has not shown up as a key part of his skill set over his time in the majors. The flyball revolution is not for everyone, and Davey Martinez made sure to remind his 26-year-old infielder of that.
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The Keys to Pitcher BABIP and HR/FB, Perhaps

Long has the relationship between pitcher performance and batted ball metrics been dubious. The Sabermetric community has a solid understanding of why, fundamentally, a pitcher is good or bad. Strikeouts are good. Walks are bad. Hits by pitch are also bad. Home runs allowed are especially bad. So on, so forth. And by no means are batted ball metrics useless. It’s how we know ground balls allowed are superior to fly balls allowed, for example.

The community had hoped, however, that more granular batted ball metrics would help us better explain some of the more nuanced elements of pitcher performance, including those related to luck, such as batting average on balls in play (BABIP) and the percentage of home runs per fly ball (HR/FB). Since their introduction to the public sphere in 2015, and even with the inclusion of more granular Statcast data in 2016, any relationships that might exist between the physics and outcomes for batted balls during an individual pitcher’s season are still poorly explained. The following table depicts the correlations between pitcher BABIP and various batted ball metrics, sorted by the strength of the relationship (all qualified seasons, 2007-17, n = 898):

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