Trevor Bauer, the National Fantasy Baseball Championship’s No.-9 starting pitcher and No.-31 player overall, has pitched to the tune of a 4.12 ERA this year. All things considered (“things” being, primarily, the juiced ball), Bauer hasn’t been awful. But after compiling a pristine 2.21 ERA in last year’s breakout with equally pristine ERA estimators to boot (3.14 xFIP, 3.21 SIERA), this year’s peripherals (4.35 xFIP, 4.21 SIERA) are far less inspiring, even when adjusted for context.

The easiest way to write off Bauer’s 2018 season as an aberration is, well, to look at everything else he has ever done. He sports a career 3.97 ERA, with just one season (2018) with an ERA under 4.00. The blind squirrel who took an approach as simplistic as this in 2019 would have invariably found a nut.

Such an approach, however, would grossly undersell Bauer’s gains in 2018, which were quite legitimate. Using the most basic of peripherals, Bauer’s swinging strike rate (SwStr%) took the best 3rd-biggest step forward in nominal terms, behind only Patrick Corbin (and his slider) and Gerrit Cole (and his fastball).

Yet 2018 gains do not necessarily beget sustained excellence. Bauer’s narrative is a fairly complex one, so let’s give it proper attention.

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Anyone within arm’s reach of my Twitter account is so. bleeping. tired. of me talking about Mike Tauchman.

But I have to bring him up. Tauchman was literally the first Peripheral Prospect. He led off the inaugural post. It’s imperative we revisit our old friend, because guess what? He is the 7th-best fantasy hitter the last 30 days, per ESPN’s Player Rater.

Seventh-best. Not out of just Yankees, not out of just outfielders — out of all hitters. His recent success alone has made this entire series worth it.

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This is, and is not, a Mike Tauchman post. My relentlessly Tauchman-centric brand has been, in the words of beloved pal Sammy Reid, “hotter than the sun’s ass.” Tauchman has become the folk hero Yankees fans didn’t know they needed. I also have become insufferable to everyone within digital arm’s length of my Twitter account.

When I reviewed my bold predictions in July, I lamented Tauchman’s bad-luck strikeout rate (K%). By measure of “deserved” strikeout rate (I regressed the components of every hitter’s plate discipline against their strikeout rates to derive a “deserved” rate), Tauchman had been one of Major League Baseball’s unluckiest hitters.

Despite his recent torrid streak, Tauchman still emerges as one of 2019’s unluckiest hitters. That is why this is, in a sense, still a Tauchman post. But it’s also an Everyone Else post, in that I’m eager to unearth baseball’s luckiest and unluckiest hitters this year.

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Jake Bauers entered the 2019 season a kind of wide-awake sleeper to many fantasy analysts looking to target cheap value at first base or in the outfield. Per National Fantasy Baseball Championship (NFBC) average draft position (ADP) data, Bauers was drafted, on average, 230th overall, 24th among first basemen, and 66th among outfielders — effectively your last corner infielder or outfielder, or your first bench bat. You weren’t depending on him too gravely for production; the cost to acquire Bauers was typically low, making any sunk costs a bit easier to swallow.

Still, it has been disappointing to see Bauers follow up 2018’s 11-homer, 6-steal half-season with mediocrity. Yes, his rookie campaign featured a miserable .201/.316/.384 line, but it was marred by a meager .252 batting average on balls in play (BABIP) and a 26.8% strikeout rate (K%) that seemed far out of whack relative to his roughly league-average 11.0% swinging strike rate (SwStr%). It stood to reason, at first glance, Bauers would cash in on some positive regression to post a fairly solid slash line while posting double-digit home runs and stolen bases — and it didn’t seem altogether far-fetched to hope so.

Ultimately, it never came to fruition. In almost an identical number of plate appearances, Bauers replicated his home run tally but with a lower isolated power (.146 ISO to .183 ISO), a feeble stolen base rate (two steals on five attempts, versus six on 12 last year), and worse plate discipline despite a better whiff rate. Cleveland had enough and eventually optioned Bauers with his career line standing at 22 homers, eight steals, and a .218/.312/.381 line in 771 plate appearances.

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You may or may not have heard that Yu Darvish is back. By any conventional measure, his latest back-to-back starts of six shutout innings, two hits, and seven-plus strikeouts rank among his best in a long time. By measure of “Game Score v2,” which FanGraphs includes in a pitcher’s Game Log, Darvish’s scores of 78 and 79 are his two best starts since 2017. Because some of his better Game Score starts went more than six innings: these are his two best six-inning starts, period. They happened very recently, consecutively, and he didn’t labor through them, either, throwing just 94 and 83 pitches, respectively.

The last two starts were a gift to those who took a leap of faith. Darvish, who walked at least three batters in seven of his first eight starts (33 walks in 36ish innings!) and 10 of his first 13 (44 walks in 66ish innings!), was an absolute mess. He had compiled a 4.88 ERA, 5.19 FIP, 4.49 xFIP, and 4.96 SIERA in 13 starts, the cherry on top being a walk rate (BB/9) of six. Six! Six batters per nine innings. As my 14-year-old self quoting Ron Burgundy might say: “I’m not even mad — just impressed.”

However, from June 10 to July 3 — a five-start window sandwiched between his early-season futility and his recent wizardry — Darvish struck out 33 and walked just five in roughly 31 innings, compiling a 3.68 xFIP and 3.64 SIERA. Read the rest of this entry »

From last week’s edition of Peripheral Prospects:

Alex likes to weave word-things before naming names. I’m impatient. Let’s jump straight into the action.

Brad’s not wrong.

This is Peripheral Prospects. We seek to identify obscure future fantasy contributors. Let’s take the plunge. Only four this week, because I’m feeling picky.

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If March is bold prediction season and October is bold prediction review season, then somewhere in between is bold prediction check-in season.

As always: you don’t care about this introduction, just the midway results. But, also, as always: I try to use bold predictions as an exercise in using hard data (and a little bit of blind faith) to make actionable recommendations for leveraging market inefficiencies to your advantage. While it’s fun to predict Christian Yelich might hit 60 home runs (he might!!!), it doesn’t change your opinion about him very much, whereas a bold prediction about, say, my little king Jeff McNeil might have encouraged you to draft him ahead of his lowly average draft position (ADP) of 298th overall (34th among second basemen), per National Fantasy Baseball Championship (NFBC).

Unlike past seasons, I actually remember some of the bold predictions I made, which makes me excited to review them. At the end of each prediction, I’ll assess the percentage probability of it hitting come October. Let’s dig in.

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In 2018, and again earlier this year, I reviewed how different pitch types perform by various measures including swinging strike rate (SwStr%), ground ball rate (GB%), and isolated power (ISO). In the last couple of years I have tried to emphasize heavily the importance of evaluating a pitcher on his component parts — namely, each of his unique pitches, all of which behave differently and can bring resolution to some of pitching’s more enigmatic questions and issues.

If you clicked through those links in the first sentence, you saw how breaking balls and offspeed pitches outperform fastballs by virtually every metric. With the advent of Statcast, we can not only validate my prior work, which relied on PITCHf/x data, but also dig more deeply into how each pitch type behaves according to newfangled Statcast data — namely, how each pitch performs exclusively on balls in play.

This is something I pursued preliminarily using the PITCHf/x data, by measure of ISO, but it doesn’t fully capture total production or damage allowed. Having written about Zack Wheeler the other day and in discussing how the performance of his pitches have ebbed and flowed from 2018 to 2019, I was curious to dig into pitch-specific expected weighted on-base average (xwOBA) on contact (xwOBAcon).

Here’s how every pitch type compares by xwOBA allowed. Keep in mind, xwOBA captures “deserved” total value through not only balls in play but also strikeouts and walks. Year in and year out, fastballs fare worse than the league average, whereas breaking balls and offspeed pitches perform better than average, all to varying degrees.

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Zack Wheeler, prior to about two weeks ago, was an enigmatic starting pitcher on whom many fantasy owners had started to lose faith. (Such faith might again be lost after Sunday’s start, which is another issue all together.) After missing two seasons recovering from Tommy John surgery and related setbacks, Wheeler returned to the mound in 2017 only to be sidelined once more and miss almost the entire second half of that season. The prospects of him succeeding in 2018 were, frankly, not great.

Wheeler, however, came out firing, his four-seamer and two-seamer averaging 95.9 and 96.1 mph, respectively, up from 94.8 and 94.3 mph — a moral victory in its own right. The added velocity helped both pitches play up in way completely unseen the year prior, as measured by expected weighted on-base average (xwOBA) allowed:

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Yo! It’s been a hot minute (read: a month) since Brad or I published a Peripheral Prospects piece. Sometimes, life gets in the way. Such distinct absences aren’t so bad, after all — it allowed us a little more time for some of the season’s early conquests to flesh out in larger samples.

Around this time last year, I became enamored with a hitter about whom no one knew hardly anything at the time but of whom everyone has heard now: Jeff McNeil.

alonso @ AA: .315/.442/.574, 18.2% K, 16.0% BB
mcneil @ AA: .329/.405/.633, 9.7% K, 9.3% BB

I DON'T CARE IF HE'S 26, GREAT HITTERS HAVE BROKEN OUT AT 27 BEFORE

— Alex "Oxlade" Chamberlain (@DolphHauldhagen) June 14, 2018

At the time, Pete Alonso was slaughtering Double-A pitching. But so, too, was McNeil, with a strikeout rate (K%) below 10% — and a higher isolated power (ISO) than that of Alonso, the Mets’ premier power-oriented prospect. Between Double-A and Triple-A, Alonso finished with the higher ISO (.295 to .274), but McNeil, thanks to superior contact skills and (non-homer) batted ball efficacy, produced a wRC+ almost 20 points higher.

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