Archive for walk rate

Among starting pitchers who finished in the top 20 in Roto value this season, few were further under the radar on draft day than Blake Snell and Mike Clevinger were. Though Snell was the fourth-most productive starter in terms of Roto value (according to ESPN’s Player Rater) and Clevinger ranked 17th, neither were among the top 190 players in ADP in NFBC or ESPN drafts.

In addition to a surge in their totals of innings pitched, both Snell and Clevinger experienced surprisingly strong improvements in their walk rates. Free passes were a weakness for both of them in 2017, but this season, Snell trimmed his walk rate from 10.8 percent to 9.1 percent, and Clevinger lowered his from 12.0 percent to 8.3 percent. Both pitchers were already proficient at getting strikeouts and had done a fair job of avoiding homers. With even stronger skill sets heading into 2019, fantasy owners could see Snell and Clevinger as particularly appealing options in a pitching pool defined by uncertainty and risk.

But should we?
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Here in the final week of April, sample sizes are starting to build up, but there is still a lot of statistical weirdness out there. Just in the walk rate leaderboard alone there are some confounding data for fantasy owners to ponder. Jose Quintana and Michael Wacha with double digit rates? Vince Velasquez among the lowest one-fourth? It’s like I hardly know these guys.
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I expected to follow up my xK% differential post from last week with a complementary xBB% differential post. For those who don’t enjoy surprises, I’ll let you know now that that didn’t happen. In its stead, I bring what I hope is good news — news that will not only influence a future xBB% differential post but also may impact general pitcher analysis henceforth and possibly international diplomacy.

The title of this post, however, is a tad misleading. I think I can say, with some degree of certainty — and I hope to demonstrate, with some degree of competency — that pitch sequencing indeed plays a role in a pitcher’s walk rate, as the devilishly handsome Mike Podhorzer has postulated. What I can’t describe, with any degree of certainty, is the magnitude of the role it plays. In truth, I desperately want to prove Mike wrong: there must be other factors, outside of pitch sequencing (and pitch framing, perhaps), that help explain a pitcher’s walk rate. For example, I have tried incorporating O-Swing% and Zone%, two PITCHf/x metrics provided by FanGraphs that I swore would fill in the cracks, but they offer little in the way of additional explanatory power.

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