Archive for Statcast

2019 Deserved Barrel% – Full List

A couple of weeks ago, I devised a deserved barrel rate (where barrel rate is calculated as a percentage of batted ball events, or Barrel/BBE) based exclusively on a hitter’s average exit velocity (EV) and average launch angle (LA). To employ such a simple model, I made a broad but accurate assumption: the average hitter’s average EV (or LA) has a distribution of EVs (or LAs) centered around it, and this distribution does not differ dramatically from other hitters’ distributions.

In layman’s terms, the typical hitter’s average launch angle is his — he owns it, and it reflects his swing plane and mechanics — but he is no better than any other typical hitter in repeating his average launch angle. He, like everyone else, will likely vary from the mean by a certain margin of error. I make the same assumption of exit velocity as well. The two variables bear almost zero correlation to each other. In light of this assumption, the best thing a hitter can do is maximize his exit velocity and hopes it coincides with an optimal launch angle.

(Some folks have suggested I include the percentage of balls hit 95+ mph to refine deserved barrels. The notion intrigues me. However, to illustrate a point: if you have two hitters with identical average EVs, would you expect their distribution of EVs to be dramatically different? Probably not. The inclusion of hard-hit rate accepts as fact that one hitter might be better at hitting 95+ mph more frequently — which would also suggest he hits more softly more frequently as well, and with certainty. This doesn’t stand out to me as a repeatable, let alone necessarily desirable, trait.)

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Are There Chronic wOBA Over- and Under-Performers?

You know the third base pool is loaded at the top when there are three players at the position who returned more value than Alex Bregman did in 2019 5×5 Roto leagues. Yet, on draft day 2020, owners are likely to at least consider making the Astros’ 25-year-old the first third baseman taken, ahead of Rafael Devers, Anthony Rendon and Nolan Arenado. To this point, in the currently-under-way Pitcher List Experts Mocks, Bregman is the only third base-eligible player to be taken within the first 14 picks in all three drafts.

It’s not hard to see why. This season, he maintained his elite contact and plate discipline skills while tacking on 10 home runs, nine RBIs and 17 runs to his 2018 totals. In 2020, he would appear to be primed for another batting average around .290, and with a spot in the heart of the Astros’ order, he could clear the hurdles of 110-plus RBIs and runs yet again.
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Devising a Deserved Barrel%

A couple of weekends ago at BaseballHQ‘s First Pitch Arizona conference, The Athletic’s Eno Sarris and I talked about hitter metrics most descriptive and/or predictive of power. In Eno’s presentation, he included a quip from analyst Hareeb al-Saq:

“Knowing barrels on top of average EV [exit velocity] tells you a lot. Knowing average EV on top of barrels tells you a little.”

Eno was surprised by this finding — that barrel rate is a more beneficial metric than average EV, or even EV on a certain type of batted ball event (BBE), such as fly balls and line drives. Incidentally, this is something Al Melchior and I researched last year for which we reached the same conclusion: barrels, whether as a percentage of batted ball events or plate appearances, correlate more strongly than average, maximum, or fly ball/line drive EVs did to common power metrics such as home runs per fly ball (HR/FB), isolated power (ISO), or hard-hit rate (Hard%).

However, it made more sense to Eno when I articulated that calculating barrel rate is simply the act of isolating a hitter’s most-optimal batted ball events. In other words, the inclusion of launch angle (LA) adds another explanatory dimension to EV. In my head, it’s like having two separate circles — one for EV, the other for LA, each containing every individual batted ball outcome from the season — and overlapping them. The overlapped portion of the Venn diagram signifies barrels, and it changes in size depending on the quality of the batted ball events.

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Are Foul Balls Good or Bad? Pt. II (A: They’re Good)

Back in June, I tried to tackle the age-old question: are foul balls good or bad? I tried to determine the “worth” of a foul ball by grouping plate appearances by their number of foul balls (from zero to four-or-more) and looking at two outcome metrics: strikeout rate (K%) and weighted on-base average (wOBA). Unfortunately, my endeavor turned up mostly duds. There are some interesting nuggets – a pitcher’s wOBA allowed improves by nearly 30 points in two-strike counts if he allows at least one foul ball – but most other splits were meaningless. Similar attempts to quantify the effect of a foul ball on the subsequent pitch were similarly fruitless.

I stepped back from the research to let it breathe. Intuitively, I knew there should be value here – I just wasn’t sure how it would present itself. Then, one day (specifically, June 27), inspiration struck in the form of Bryse Wilson’s third career start, during which he incurred nine swinging strikes but also 20 (twenty!) foul balls on 56 four-seam fastballs, amounting to a 16% swinging strike rate but also an absurd 36% foul ball rate (Foul%). The coincidence of many whiffs and also many fouls struck me as fascinating and extremely relevant to my previous research. It encouraged me to reframe the question at hand:

How does foul ball rate correlate with other measurements of success by pitch type?

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What Batted Ball Data Might Be Telling Us About Manny Machado and Adalberto Mondesi

Manny Machado and Adalberto Mondesi, two shortstops drafted inside the top-50 this spring, have had very different seasons to date.

Since signing with the Padres in the offseason, Machado has struggled (.261/.342/.451) to produce at his usual elite level. A level that made him worthy of a 10-year, $300-million contract. Mondesi meanwhile, has picked up where he left off in 2018, hitting for modest power (30 extra base hits) and batting average (.277), to go along with his league-leading 26 stolen bases.

But some of the underlying peripherals suggest that these two shortstops could see their performance trend in opposite directions during the second half of the season.

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Is Rowdy Tellez Under-Owned?

Less than a month ago, the Blue Jays traded their primary designated hitter, Kendrys Morales, to the Oakland Athletics. While somewhat surprising given the money owed to Morales, the Jays willingness to retain salary and Oakland’s need to replace the injured Matt Olson facilitated a trade that was completed less than twenty-four hours before Opening Day in Toronto.

While the trade was initially made with an eye towards roster flexibility, it looks as though one big man may be in the process of replacing another in Toronto. After beginning his major league career in September of 2018 with a world-beating hot streak, Rowdy Tellez is picking up where he left off in some potentially important respects. Read the rest of this entry »


Ryan Braun Isn’t Done Yet

Looking over the depth chart for the defending NL Central champion Milwaukee Brewers, one is reminded that Ryan Braun, 35 years old and entering his 13th major league season, still projects as the team’s starting left fielder. Some observers, perhaps even Brewers fans, might feel skeptical about Braun’s chances of a bounce-back season, considering how things have gone these last few years:

Ryan Braun, Results (2016-18)
Year AVG OBP SLG wOBA wRC+
2016 .305 .365 .538 .378 134
2017 .268 .336 .487 .347 110
2018 .254 .313 .469 .330 105

Here we see steady decline in every category. After reviewing this table, it would be easy to conclude that age has caught up with Braun, that he will probably contribute nothing more than league average offense in 2019, and that the Brewers should perhaps even consider upgrading in left field. Read the rest of this entry »


Stats That Matter: Cutting Through the B___S___

The amount of stats available to analysts today is overwhelming. At least it’s getting that way with me. I’d prefer everything to be available to investigate an idea. But no one has the time to go over every single stat to see if a player has changed for the better or worse. I’m going to eliminate all but 10 stats to focus on those few that matter the most.

The key behind my analysis is to find if a pitcher or hitter has changed. A few dozen projection sets exist to set a talent baseline but once the season starts, most people want to throw them out (some even before the season) if a hitter is batting .150 or a pitcher has a 6.00 ERA. Players are human and creatures of habit so most won’t change. But some do and being able to focus on these few can help to find values.

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Trade Analysis: Diaz & Bauers

The Indians, Rays and to everyone’s surprise, Mariners made a trade last week with the following final results:

For my analysis, I’m going to focus on just Diaz and Bauers. Both have shown great potential but their minor league results have not yet translated to the majors.

Yandy Diaz (NFBC ADP Rank: 475)

With Jason Kipnis and his $17M contract likely to play second and Jose Ramirez at third, Diaz wasn’t guaranteed to play in Clevland. He is now in Tampa.

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Which Statcast Measures Correlate Best with Pitcher HR/FB and BABIP?

Note: As was the case in a previous analysis of Statcast measures and their correlation with power metrics for hitters, I owe a debt of gratitude to Alex Chamberlain. He did a lot of heavy lifting for this column, running the correlations and discussing interpretations with me.

It won’t be the first or last time, but I did a silly thing on Twitter. In announcing a pick for the Pitcher List Experts Mock, I decided to tout the player I chose by citing one of his achievements, as captured by a Statcast metric.

(Justin, by the way, made his pick very promptly.)
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