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.

Read the rest of this entry »


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.

Read the rest of this entry »


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.

FanGraphs Audio: Dave Cameron on the Perplexing West

Episode 629
Dave Cameron is both (a) the managing editor of FanGraphs and (b) the guest on this particular edition of FanGraphs Audio, during which edition he examines a pair of befuddling trades, each involving a club from the National League West.

This edition of the program is sponsored by Draft, the first truly mobile fantasy sports app. Compete directly against idiot host Carson Cistulli by clicking here.

Don’t hesitate to direct pod-related correspondence to @cistulli on Twitter.

You can subscribe to the podcast via iTunes or other feeder things.

Audio after the jump. (Approximately 45 min play time.)

Read the rest of this entry »


The Brewers’ Quiet Upside Play

There’s a lot to talk about with any five-player trade. And with the trade that sent Jean Segura from the Brewers to the Diamondbacks, there are plenty of noteworthy angles. There’s the matter of Segura’s offensive upside vs. Segura’s offensive reality. There’s the matter of the Diamondbacks clutching onto their highest remaining draft pick, and there’s the matter of the successful if partial Aaron Hill salary dump, and there’s the matter of Isan Diaz being an awful interesting prospect. There’s something else the Brewers received, though, and while Chase Anderson doesn’t have Diaz’s breakout potential, you can think of him as the quieter upside play. Anderson is going into the rotation, and he could remain there for years.

Anderson’s whole presence to this point has been quiet. He’s been an unremarkable pitcher on an unremarkable team, and though he’s made just 48 big-league starts, he’s already 28 years old. He doesn’t have a top-prospect background, nor does he have a top prospect’s velocity — Anderson’s specialty has been an outstanding changeup. The numbers last year backslid, and Anderson wound up on the outside of the picture, looking in. Yet the Brewers still saw something they liked.

Read the rest of this entry »


Identifying 2015’s Pop-Up Champion

I’ll tell you what this was supposed to be about. Over the weekend, Howie Kendrick was in the news, since he re-signed with the Dodgers. I was going to take the opportunity to write about how Kendrick just about never hits a pop-up. It’s one of those things that helps explain why he’s been able to run high batting averages, and even though I know I wrote about this very thing like a year ago for Fox Sports, Kendrick didn’t hit a single pop-up in the most recent season. Nor did he hit a single pop-up in the previous season. So, by our numbers, Kendrick has gone more than two regular seasons without a pop-up, which is insane and well worth re-visiting. Who doesn’t like to read about the weirdos?

But, you know, ideas evolve, especially when you give them a few days to simmer. Kendrick, pretty clearly, is exceptional in this regard. However, he’s not unique. You might be thinking right now about Joey Votto, and Votto is also pop-up averse, but this past year there were just two regular players who successfully avoided pop-ups: Kendrick and Christian Yelich. This is fitting, because over the past five years, if you set a 1,000 plate-appearance minimum, Yelich and Kendrick own the lowest pop-up rates in baseball. They both feature phenomenal bat-to-ball skills, reflected by these numbers, and they’re valuable because of the extra singles they can scratch out.

So, Kendrick doesn’t hit pop-ups. Yelich doesn’t hit pop-ups. By at least one source, neither hit a pop-up in 2015. Might it be possible to crown either the 2015 pop-up champion?

Read the rest of this entry »


Effectively Wild Episode 808: The BP Annual Guessing Game

Ben and Sam banter about Billions, the amazing Willie Davis, and a strange Fox Sports article, then conduct a quiz show.


The Anomalous Defensive Outcomes of the 2015 Season

On Wednesday, we took a look at the anomalous offensive outcomes of 2015: we had oppo homers from batters who have never hit them before, some of the slowest men in baseball hitting triples, and a guy with below average ISO marks hitting an almost 500-foot home run. It was a great reminder that baseball is really, really weird, and every season there’s at least few events that you will rarely — if ever — see again.

Today, we’re going to revisit that same idea except with defense. We can always watch highlight reels of the best defensive plays of the year, because watching Mike Trout perch on top of the wall in center field to rob a home run is a singular pleasure. It’s simple human nature to enjoy that. What highlight reels lack, however, is the context of the players making the plays: we expect Andrelton Simmons to go in the hole at shortstop to pick a ground ball, leap in the air, and fire a bullet across the diamond to get the runner at first. We do not expect Jhonny Peralta to do the same. That’s why if Peralta made that exact same play (he didn’t, but just suspend your belief for a moment), it wouldn’t necessarily be more impressive on an overall level, but it certainly would be on a personal one. For Simmons, that’s business as usual. For Peralta, it’s a once or twice in a career event. That deserves recognition — and celebration.

The usual caveats apply, given that we’re looking at only one-year samples of defensive data. There’s a lot of noise here — we know that. The aim of this post is to find the joy in that great mixture of noise and talent. There are a spectrum of posts on this illustrious website: toward one end we find incredible batted-ball breakdowns of pitchers and hitters that stretch our understanding of baseball; toward the other, we find the carnivalesque atmosphere of a GIF-addled home run post. This piece will stumble gleefully, Mardi Gras crown askew, in the direction of only one end of that spectrum.

On the technical side, we’re employing a few types of data for this pursuit: UZR/150, DRS, and Inside Edge fielding data, the latter of which ranks each defensive play made on a six-step scale of how often an average fielder at the position would make the play in question — from the categories of “Impossible” to “Almost Certain.” I’ve also used Baseball Reference’s always useful play index, as well as some Baseball Savant. Now onto the findings!
Read the rest of this entry »


ERA/FIP Visualization Tool

I’ve made an interactive visualization tool for earned run average (ERA) and fielding independent pitching (FIP) across Major League Baseball. You’ve seen this visualization before in many of Owen Watson’s articles throughout last season. Owen used this to suggest which pitching staffs might have overachieved their peripheral stats. This visualization lets us see the discrepancies between ERA and FIP among all of the MLB teams or even among different players.

Below is an example of a graph are you able to create with the tool:

You can toggle between teams and players. Players are organized by team and you are able to set the minimum number of innings pitched for the player to be on the graph. There are two places you’ll see these graphs. The primary location will be the tool’s page on FanGraphs; this is where the full tool is available. Then the graph itself can be embedded into our blog (plus Community Research) or anyone else’s blog using an iframe element.

Read the rest of this entry »


Howie Kendrick, Jean Segura, and Arizona’s Latest Mistake

Over the weekend, the Dodgers and Diamondbacks made a pair of related transactions. On Friday night, after failing to find a suitor due to the specter of a potential lost draft choice, Howie Kendrick re-signed with the Dodgers for a relative pittance; $20 million over the next two years. Given that Kendrick turned down the qualifying offer, which would have guaranteed him $15.8 million for just the 2016 season alone, Kendrick had to settle for far less than he thought he would get this off-season, and at that price, the Dodgers decided the value was too good to pass up, even though they didn’t really need another infielder.

Kendrick is better than Chase Utley and he should make the team better in both 2016 and 2017; however, they did surrender the possibility of obtaining a compensation pick if another team had eventually decided he was too good to pass up at that price as well.

For a good chunk of the winter, the assumption was that a team would make that choice, and for the last few months, the Dimaondbacks looked liked the obvious fit. General manager Dave Stewart publicly talked about his desire to add some offense at the top of the order to replace Ender Inciarte, and some combination of Chris Owings and Aaron Hill didn’t inspire a lot of confidence that second base was going to be well-handled in 2016. The D-Backs had talks with Kendrick, and had tried to trade for Brandon Phillips, so it was clear that they wanted to make a move for a more established second baseman, pushing Owings into the utility role that he’s probably better suited for.

But, after having surrendered the 13th pick to sign Zack Greinke, the Diamondbacks became fiercely protective of the 39th overall pick, a competitive-balance selection they were awarded that they would have to surrender if they signed Kendrick (or Ian Desmond, another free agent would could have helped them). Stewart even stated outright that they weren’t going to give up that pick:

“We’re not going to give up the pick,” Stewart said of the D-backs, who have the 39th selection (Competitive Balance Round A). “It’s just tough after we’ve already given up our first pick. To give up our top two picks, that would be difficult for us to do.”

Read the rest of this entry »