Effectively Wild Episode 809: The 2016 Minor League Free Agent Draft

For the third consecutive year, Ben and Sam draft the 20 minor league free agents they hope will earn the most major league playing time in 2016.


Calculating the WAR Threshold for Qualifying Offers

We recently went through the 2015 qualifying-offer season, the basic facts of which Five Thirty Eight’s Rob Arthur provided a helpfully summarized back in November. In that piece, Arthur asserts that “Each offer is essentially a bet that the player… will be worth 2 or more WAR in the coming year.” He adds that “the math works out so that teams tender offers to almost every remotely deserving free agent [and] [w]ithout fail, those free agents refuse them.” Arthur was writing before the deadline for players to accept their offers, and for the first time this year, there were players who accepted their qualifying offers (Brett Anderson, Colby Rasmus, Matt Wieters).

While teams may have been very liberal in giving out qualifying offers in the past, now that there is a precedence of players accepting the offers, teams will likely need to be more cautious about giving out offers in the future. This article attempts to build a model that determines at what WAR threshold it makes sense for teams to give out qualifying offers.

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The Year of the Billy Burns Ambush

Billy Burns was going to be one of those interesting test cases. His numbers in the minor leagues were strong — he drew walks about 12% of the time, and he infrequently struck out. He could motor, too, adding to his value both at the plate and in the middle of the outfield. Yet he had just two professional homers to his name, over 1,800 opportunities, and we’ve seen these failures before. So the question was, could Burns get pitchers out of the zone often enough to keep his OBP respectable, or would he wilt upon being challenged?

I don’t know what you expected from Burns, but I can tell you something I didn’t expect: here was this passive, speedy minor-league outfielder, and then as a rookie he posted baseball’s fifth-highest swing rate. For the sake of comparison, the name right ahead of him was Pablo Sandoval. And Burns wasn’t just aggressive in general — he wound up with baseball’s second-highest rate of swings at first pitches. Burns cast his history aside and turned himself into a swinger, and that’s not something that happens by accident. And no one, I don’t think, would have a problem with the results.

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Some Thoughts on the New Spring Training Uniforms

You may have noticed Major League Baseball unveiled new spring training jerseys. This is important. Spring training gets going in a few weeks and what would we fans be without new spring training jerseys to wear over our winter parkas while we shovel pile after pile of snow, hoping our hearts don’t give out in the process. But, if we do go down, at least we go down with our teams on our chests. And like your proverbial mother and her proverbial obsession with clean underwear, you wouldn’t want to go down with an outdated spring training jersey on. These are the stakes and they are high.

As such, I have viewed the gallery of new jerseys and I have some thoughts which is why this article is called Some Thoughts on the New Spring Training Jerseys. Because we prioritize truth here. It’s above other things, like lies, and candy corn, which, let’s face it, is just terrible.

First Thought: Diamondbacks, Why?

Screen Shot 2016-01-31 at 11.59.51 PM

If your team name is too long for the front of your jersey then there are acceptable solutions. For example, you could write it like a signature, emphasizing certain letters joined by scribbles. For example, you might render my name as follows: “M [scribble] H [scribble] K [scribble] y.” Who says team names need be legible? Or, like the A’s do, you could just go with a single letter. The point is, there are options. But what you can not do is this whole “D-backs” thing, because it’s kind of awful — and, as you can probably tell from the first couple paragraphs of this piece, I am personally acquainted with awful. Going with “Arizona” and turning the “i” into a snake would let us leave the “D-backs” in the cul-de-sac of uniform design where it belongs. Good gosh, do I have to do everything, people?

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On the Humanity of Being Irrational

On Sunday night, Ken Rosenthal wrote a provocative piece over at FoxSports, based on an experience he had at a PITCH Talks event up in Toronto last week. Given the recent success of the Blue Jays and the impending free agency of both Jose Bautista and Edwin Encarnacion, the question of whether or not the organization would re-sign either naturally came up. I’ll let Rosenthal take the story from there. Read the rest of this entry »


August Fagerstrom FanGraphs Chat — 2/2/16

11:48
august fagerstrom: it’s February!

11:48
august fagerstrom: we’ll chat at noon

11:49
august fagerstrom: chat soundtrack: Pixies – Come On Pilgrim

11:49
august fagerstrom: and then probably also Surfer Rosa because Come on Pilgrim is so short but damn if that’s not one of the best EP’s ever

12:02
Joe in GA: Are you the prospect guy or just the weird name guy? I forget.

12:02
august fagerstrom: weird name guy only

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An Inconclusive Exploration of Paul Goldschmidt’s Passivity

I don’t believe I’m out of line when I say that, of life’s most enjoyable pleasures, many are to be used, collected, consumed, or practiced in moderation. “You can have too much of a good thing,” they say. Food and alcohol, for example. Both delightful. Both substances which, were I unaware of the consequences of surplus consumption, I would regularly consume in excess. Both substances, in fact, which I do regularly consume in excess, despite being completely aware of the consequences. Likewise, I’ve taken nary a vacation which I didn’t find overindulgent. Don’t get me wrong — a break from the norm for a bit of traveling is always welcome, but I’m perpetually exhausted by the degree of stimulation that comes with falling asleep and waking up in a new bed, having to process an unfamiliar environment and having to create and enact routines that differ from the ones to which I am accustomed. Perhaps I’m just outing myself as a homebody, but without fail, I long for the comforts of a familiar bed, environment, and routine approximately 24-48 hours prior to the conclusion of any extended trip.

I recently sought to find an example of overindulgence in a baseball. A player whose approach, for example, was perhaps hindered by too much of a good thing. It was sort of an offshoot of the post I wrote yesterday which concerned Miguel Sano’s surprisingly disciplined approach against breaking balls. In that post, I found, among other things, that Sano took plenty of early at-bat breaking pitches for balls, and so he found himself in plenty of hitter’s counts, and not only that, but he capitalized on his abundant hitter’s counts by amping up his aggression and attacking pitchers when he had the upper hand.

It’s a fairly fundamental strategy, but there’s a most extreme everything, and someone had to be on the other end. There has to be someone who finds themselves in plenty of hitter’s counts but, for whatever reason, actually becomes notably less aggressive and less attack-oriented when they hold count leverage over the pitcher.

So I ran some BaseballSavant queries and I produced a couple lists in a spreadsheet that showed me overall swing rate, and ahead-in-the-count swing rate, and I calculated the difference between the two. Some interesting names popped up near the top — Xander Bogaerts, Matt Carpenter, Anthony Rizzo — but something seemed off, and I realized an unaccounted-for variable in my search: not all batters are pitched the same when they’re ahead in the count. Certain hitters get far more or fewer pitches to hit when ahead in the count, and so their swing rates are partly dictated by the pitcher. To control for this, it would be wiser to search only for the difference between overall in-zone swing rate and ahead-in-the-count in-zone swing rate. This was a search that yielded a particularly intriguing result.

Most Passive Hitters in Hitter’s Counts
name OVR Z-Swing% AHD Z-Swing% Z-Swing% DIF
Paul Goldschmidt 62.4% 46.8% -15.6%
Adam Eaton 61.7% 47.3% -14.4%
Jace Peterson 64.8% 53.1% -11.6%
DJ LeMahieu 64.1% 52.5% -11.5%
Ben Zobrist 56.6% 45.5% -11.0%

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Voting Now Open for SABR Analytics Awards

Here’s your chance to vote for the 2016 SABR Analytics Conference Research Award winners.

The SABR Analytics Conference Research Awards will recognize baseball researchers who have completed the best work of original analysis or commentary during the preceding calendar year. Nominations were solicited by representatives from SABR, Baseball Prospectus, FanGraphs, The Hardball Times, and Beyond the Box Score.

To read any of the finalists, click on the link below. Scroll down to cast your vote.

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Exit Velocity, Part I: On the Import of Exit Velocity for Hitters

The production of new data by means of new recording technology is exciting — and the more data we get, the better we can become at analyzing said data. We have come a long way since PITCHf/x was made available, but we still have much more to learn. We also now have Statcast data with defensive numbers and figures — as well as exit velocity for hitters and against pitchers — and right now that data is very interesting. But a lot of people are all working very hard to transform the data from merely interesting to actually useful. If it remains interesting without becoming useful, it is still fascinating information to have, but also trivial from an analytical perspective. Organizations want the information to be useful. Exit velocity, one of the streams of data rendered available by Statcast, appears to have the potential to be very useful. Right now, however, I am still unsure what we have, and I am not alone.

As Ben Badler of Baseball America recently noted on Twitter:

Common thing I’m hearing from execs: They have an enormous amount of new data, but they’re still learning to turn it into usable information. Even the more data-driven organizations are still just scratching the surface of separating signal from noise and understanding what has predictive value.

Back in September, I gathered a bunch of exit velocity data on major league pitchers, and attempted to make some sense of it. There seemed to be some evidence to suggest that if a low exit velocity was a repeatable skill, then it might be helpful in limiting home runs. Not exactly groundbreaking, but at least from my perspective, interesting. Others have studied the data and found that exit velocity was five parts the responsibility of the hitter and just one part the responsibility of the pitcher, so perhaps in retrospect, I should have focused on hitters. Below represents my current attempt.

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Job Posting: Toronto Blue Jays Manager of Baseball Analytics

Position: Toronto Blue Jays Manager of Baseball Analytics

Location: Toronto

Description:

The primary focus of this position will be to learn how decisions are made in all areas of Baseball Operations, develop a familiarity with those processes and then develop tools and conduct research to incorporate data into the decision making process.

Responsibilities:

  • Conduct empirical research related to baseball strategy and player evaluation, with an understanding and context of how findings would apply to more effective decision making and increased operational effectiveness.
  • Communicate departmental findings to key decision-makers within all departments of Baseball Operations.
  • Collaborate with the front office, coaches and scouts to develop best practices for analyzing and displaying baseball data, including the creation of reports, charts, graphics, and other tools to deliver information to end users. Results of this work should help those within the organization to better understand, consider and apply the use of information and data to their decisions and operation on a daily basis.
  • Design, test, implement and maintain advanced baseball metrics and predictive models using statistical tools and analysis in order to contribute to planning, strategy and personnel decisions.
  • Work to integrate new information into existing Baseball Operations processes and develop and maintain data quality assurance processes to ensure database integrity.
  • Ensure that Baseball Operations staff is fully informed of current baseball research and analysis including statistical techniques that are best-suited for particular baseball problems.
  • Complete ad-hoc database queries and analysis as dictated by circumstances.
  • Recommend new data sources for purchase and/or new techniques to gather proprietary data.
  • Assist with hiring and managing in the Baseball Analytics Department.

Qualifications:

  • Strong interpersonal skills to communicate effectively with a wide range of individuals including members of the front office, scouts, and field staff.
  • Passion for baseball and excellent reasoning, problem-solving, creative thinking, and communication skills.
  • Demonstrated ability to successfully design and execute baseball research projects.
  • Proficiency with SQL and relational databases is required.
  • Experience with at least one of R, Python, Perl, Ruby, C++ and/or other programming or mathematical languages is required.
  • Strong knowledge of Microsoft Office is required.
  • Strong understanding of current baseball research.
  • Baseball playing background is preferred, although not required.
  • Bachelor’s degree in mathematics, statistics, economics, engineering, operations research, or related quantitative field from a top university preferred.
  • 3-5 years of related work experience or advanced degree is preferred.
  • Ability to read, speak and comprehend English effectively.
  • Basic understanding of organizational structure, goals, and mission.
  • Represent the Blue Jays in a positive fashion to all business partners and the general public.
  • The ability to work with multicultural populations and a commitment to fairness and equality.
  • Ability to work evening, weekend and holiday hours.
  • Willing and able to relocate to Toronto.

To Apply:
Interested applicants must do the following:

  1. Why do you want to work in baseball?
  2. Describe a time when you used your analytic and research skills to solve a problem, either in baseball or in business.