Job Posting: Phillies Baseball Research and Development

by
October 3, 2018

Please note, this posting contains multiple positions.

Position: Quantitative Analyst (full-time and summer), Baseball Research & Development

Description:
As a Quantitative Analyst (QA) or QA intern, you help shape the Phillies Baseball Operations strategies by processing, analyzing, and interpreting large and complex data. You do more than just crunch the numbers; you carefully plan the design of your own studies by asking and answering the right questions, while also working collaboratively with other analysts and software engineers on larger projects.

Using analytical rigor, you work with your team as you mine through data and see opportunities for the Phillies to improve. After communicating the results of your studies and experiments to the GM and executive staff, you collaborate with front office executives, scouts, coaches, and trainers to incorporate your findings into Phillies practices. Identifying the challenge is only half the job; you also work to figure out and implement the solution.

Responsibilities:

  • Conduct statistical research projects and manage the integration of their outputs into our proprietary tools and applications (e.g., performance projections, player valuations, draft assessments, injury analyses, etc.)
  • Communicate with front office executives, scouts, coaches, and medical staff to design and interpret statistical studies
  • Assist the rest of the QA team with their projects by providing guidance and feedback on your areas of expertise within baseball, statistics, data visualization, and programming
  • Continually enhance your knowledge of baseball and data science through reading, research, and discussion with your teammates and the rest of the front office
  • Provide input in architecting the storage of baseball data

Required Qualifications:

  • Deep understanding of statistics, including supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc.
  • Meaningful work experience with statistical software (R, S-Plus, SAS, or similar), databases, and scripting languages such as Python
  • Proven willingness to both teach others and learn new techniques
  • Willingness to work as part of a team on complex projects
  • Proven leadership and self-direction

Preferred Qualifications:

  • BS, MS or PhD in Statistics or related (e.g., mathematics, physics, or ops research) or equivalent practical experience
  • 0-5+ years of relevant work experience
  • Experience drawing conclusions from data, communicating those conclusions to decision makers, and recommending actions

Position: Software Engineer (full-time and summer), Baseball Research & Development

The work of a Software Engineer (SWE) or SWE intern at the Phillies extends well beyond merely coding. As a SWE you contribute fresh ideas in a variety of areas, including information retrieval, networking and data storage, security, machine learning, natural language processing, UI design and mobile to shape the evolution of the Phillies baseball analytics systems.

Our ideal engineers will have a versatile skill set, be enthusiastic to handle new challenges and demonstrate leadership qualities. You will work closely with end-users across Scouting, Player Development and the Major League Coaching Staff while building software tools from the ground up. By identifying appropriate design specifications through collaboration with those end-users, you will build applications that conform to user needs.

Specific areas of focus may include, but are not limited to, the draft, free-agency, player valuation, player development, in-game strategy, and injury prevention. As a SWE you will have the opportunity to use your technical expertise to create software solutions that impact decision-making at the Phillies.

Responsibilities:

  • Improve existing platforms and design new proprietary applications to be used directly by the GM and executive staff
  • Collaborate with front office executives, scouts, coaches, and medical staff regarding the design and technical specifications of software solutions for Baseball Operations
  • Work together with Baseball R&D department to help optimize the Phillies baseball analytics systems, including crafting solutions to efficiently and effectively synthesize, organize and present data from multiple third-party sources
  • Help to augment the technical knowledge of the entire Baseball Operations department by providing training, mentorship and support on the use of all applications and tools built by the team

Required Qualifications:

  • BS degree in Computer Science, similar technical field of study or equivalent practical experience
  • Software development experience in one or more general purpose programming languages (including but not limited to: Java, C/C++, C#, Go, Objective C, Python or JavaScript)
  • Interest and ability to learn new technologies as needed
  • Experience working with two or more from the following: web application development, Unix/Linux environments, mobile application development, design thinking, machine learning, natural language processing, and data architecture
  • Proven willingness to both teach others and learn new techniques
  • Proven leadership and self-direction

Preferred Qualifications:

  • Master’s, PhD degree, further education or 4+ years experience in engineering, computer science or other technical related field
  • Prior experience managing/leading a technical team

To Apply:

Interested applicants for either position should submit both their resume and an answer to the following question:

How would you decide whether a minor league position player prospect is ready to be promoted to the major leagues? (250 word limit)

Tip: There’s no defined right or wrong answer. Responses are used to get some insight into how you approach problem solving and baseball in general.

Please note, the summer intern positions are paid.

Please submit your resume and question response to analytics@phillies.com no later than Wednesday, October 31, 2018. Applications not sent to analytics@phillies.com will not be considered.


NL Wild Card Live Chat

by
October 2, 2018
7:49
Carson Cistulli: Hello. The chat will begin in earnest momentarily. Dan Szymborski will be here. Maybe Craig Edwards. Possibly other writers. Also possibly not them.
7:49
Carson Cistulli: In the meantime, please consider responding to a poll.
7:50
Carson Cistulli:

Are you “stoked” about tonight’s Wild Card Game?
Yes, obviously. (34.7% | 59 votes)
 
No, I am dead inside. (11.7% | 20 votes)
 
I’m dead inside, but I’m still stoked. (53.5% | 91 votes)
 
Total Votes: 170
7:57
Ozzie Ozzie Albies Free: What are the drinking game rules for today?
7:58
Carson Cistulli: Drink anytime you want but also employ reason while doing so.
7:58
bosoxforlife: Couldn’t care less who wins but can’t wait for the game to start.

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Rating All the Playoff Teams

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October 2, 2018

In a very short amount of time, the 2018 MLB playoffs will commence. Some number of hours after that, we will have already observed our first advance and our first elimination. The Cubs and Rockies played for half of their lives on Monday; tonight, one will be spared, and one will be finished off. Even though it was weird to have a couple of tiebreakers, they functioned as an effective warm-up for the postseason. Yesterday, the stakes were moderate. Beginning today, the stakes are high.

So, with the playoff field set: Who looks like the best playoff team in the bunch? Who looks like the biggest underdog? This is a post I try to get up each year. Here’s last year’s edition. I thought it would be weird to publish this after someone had already been knocked out, so I’m coming in today just under the wire. It’s time to look at what the numbers can tell us.

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We Were Bad at Predicting (Some) Things

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October 2, 2018

Before Opening Day, 40 staff writers and contributors from across our family of blogs made predictions about which teams would make the 2018 playoffs. I compiled the results, which can be found here. Some predictions were bold; others were fantastical. Many exhibited a perhaps unsurprising deference to our preseason projections. Affecting an air of clairvoyance is a rite of spring; realizing we’re a bunch of goofs is fall business. So before the playoffs begin this evening, let’s spend a moment reckoning with the fact that we’re bad at predicting things.

First, though, we should acknowledge the winners. I will not name the loser here; the world has enough cruelty in it. No one got every playoff team right — nor did anyone’s ballot perfectly mirror the order in which the field was eventually seeded — but David Laurila and Neil Weinberg each correctly predicted eight of the 10 playoff teams. David had the Twins in Oakland’s place, while Neil thought Boston would be traveling to Los Angeles for the American League Wild Card, but the rest of their AL ballots were correct. They also predicted four of the five National League teams. They both thought the Nationals would win the NL East, and they weren’t alone: 39 of 40 ballots agreed, with the final vote going to the Mets. We messed that one up, though not as badly as the Nationals did. Our full results are below.

Number of Correctly Predicted Playoff Teams
Correctly Predicted Playoff Teams Number of Writers
8 2
7 11
6 19
5 7
4 1

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What Jon Lester Has Left

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October 2, 2018

Jon Lester’s experience in the postseason has been marked mostly by success. He’s made 21 career playoff starts and recorded a few important relief outings, too. In those games, he’s produced a 2.55 ERA and 3.62 FIP. In five World Series starts (plus one relief outing), Lester has pitched 35.2 innings, struck out 34, walked just eight, and conceded only eight runs (seven earned). He’s what one might characterize as a “big-game pitcher.”

The thing about so-called big-game pitchers, however, isn’t so much that they rise to important occasions, but rather that they simply replicate the performances that have brought them to the big stage in the first place. For over a decade, Lester has done just that. Tonight, however, the Cubs might require a little bit more of Lester.

In 2,366 regular-season innings over more than a decade, Lester has produced a 3.61 FIP. In 148 postseason innings, the 34-year-old lefty has a 3.62 FIP. Look at some of his other stats from the regular season and playoffs over the course of his career.

Jon Lester, Regular Season vs. Playoffs
Period IP K% BB% GB% IFFB% HR/FB HR/9 ERA ERA- FIP FIP-
Reg Season 2366 22.3 % 7.8 % 46.2 % 11.1 % 10.4 % 0.88 3.50 82 3.61 88
Postseason 148 21.1 % 6.6 % 44.1 % 11.7 % 10.3 % 0.91 2.55 61 3.62 89

The numbers for Lester are pretty much the same across the board in the regular season and playoffs. His postseason ERA is lower than his regular-season mark due mostly to the .241 BABIP he’s recorded in the former. His slightly lower strikeout and walk numbers indicate that hitters have made more contact against Lester in the postseason, although it’s quite possible that some of that contact has been of the weaker variety if batters have traded in strikeout avoidance for power.

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Lift-Off for Christian Yelich

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October 2, 2018

Monday, I wrote about why, if I had a vote, I’d select Jacob deGrom for National League MVP. I do not have a vote, though, and I doubt that my argument is sufficiently convincing. The NL MVP is almost certainly going to end up being Christian Yelich. There was a somewhat crowded field for a little while, but Yelich pulled away from his fellow position players with an impossible final month. From the start of September, Yelich batted .370, with 16 strikeouts and 18 extra-base hits. Yelich was the best overall player from start to finish on a Brewers team that won the division literally yesterday. For what the MVP has turned into, Yelich is the obvious choice. Tremendous player on a team that wouldn’t have gotten to where it did without him.

Truth be told, it also wasn’t just the last month. Yelich was baseball’s best hitter in the second half, and it wasn’t even close. After the All-Star break, he registered a wRC+ of 220. Baseball Reference doesn’t keep track of wRC+, but it does keep track of OPS+ and its splits do go back further than ours, and according to the numbers at Baseball Reference, Yelich had one of the ten or so best second halves in the last 50 years. The only players with better second-half rate stats over enough of a sample: Barry Bonds, Mike Schmidt, Hank Aaron, and Jim Thome. Bonds actually has the four best second halves, and they all happened in a row between 2001-2004, but this isn’t a Barry Bonds fun-fact article. This is a Christian Yelich fun-fact article. He did his best to carry the Brewers into the NLDS.

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The Manager’s Perspective: Josh Bard on Process and the Distillation of Data

by
October 2, 2018
The Manager's Perspective

To date, Josh Bard’s managerial experience consists of a single game. In early September, he assumed that role while Aaron Boone was serving a one-game suspension. Don’t expect it to represent the end of his time in that capacity for a big-league team.

Currently in his first season as Boone’s bench coach with the New York Yankees, Bard is viewed by many as a future MLB manager. And for good reason. The 40-year-old former journeyman catcher has long been lauded for his interpersonal skills, and he’s been honing his analytics chops for years. Prior to joining the Yankees, the Texas Tech product spent five seasons in the Los Angeles Dodgers organization, initially as a special assistant to the general manager. More recently, he served as the forward-thinking NL West club’s bullpen coach in 2016 and 2017.

Where will Bard be employed in the years to come and in what capacity? Multiple teams will be interviewing managerial candidates this offseason, and Bard’s name is certainly being bandied about in front offices. While he’s happy in New York, other opportunities surely await.

———

Josh Bard: “My biggest role as bench coach is being a translator from the analytics group down to the dugout. I’m making sure that all the information we have is distilled down to the simplest way to understand it, not only for the staff, but also the players. My role is more pregame. It’s postgame review. What can we do better?

“Zac Fieroh is one of our analytics guys, and he’s with us every day. I give Brian Cashman and Michael Fishman, and that whole group, a lot of credit. They really pushed for him to be in there, and he’s done an awesome, awesome job.

“It’s funny. When you look at Oakland, or at L.A., or at Tampa, you think they’re these analytics juggernauts. That’s the perception. They are very good at it — don’t get me wrong — but when you look at us, that’s not really the perception. Well, when I came here from L.A., the information here is as good, if not better, than anywhere I’ve been.

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Elegy for ’18 – Minnesota Twins

by
October 2, 2018
Elegy for '18 Series

It was a rough season for the former No. 1 pick, but the talent remains clear.
(Photo: Andy Witchger)

With nothing expected of the majority of the AL Central teams in 2018, the Twins were the main hope for making Cleveland’s season inconvenient. Like a Star Wars prequel, this new hope failed to materialize in a satisfying way.

The Setup

The Twins were one of the more successful regular-season teams in baseball during the aughts, making the playoffs in six of nine seasons, but also going 6-21 in the actual postseason. With the core of the team fading quickly after 2010, Minnesota spent several years wandering around as one of baseball’s few remaining (relatively) “pure” old-school franchises.

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Effectively Wild Episode 1277: The Best Baseball is Back

by
October 2, 2018

EWFI
Ben Lindbergh and Jeff Sullivan banter about a wild end to the regular season, including the season’s final Willians Astudillo update (maybe), endings for Joe Mauer, David Wright, and Mike Scioscia, Khris Davis batting .247 again, the Orioles’ final ignominy, surgery for Shohei Ohtani, final regular-season stats about strikeouts, hits, homers, and fastball velocity, Jeff Wilpon’s incredible comments, an unprecedented two-tiebreaker day, the upcoming wild card games, and more. Then they bring on White Sox and ESPN broadcaster Jason Benetti to discuss ESPN 2’s alternative, stat-slanted broadcast of the NL wild card game, the future of sabermetric broadcasts, and playoff storylines and commentating cliches, and Ben talks to baseball-book author and math and statistics professor Jim Albert about the odds of Davis finishing with the same batting average in an unprecedented four consecutive seasons.

Audio intro: The Replacements, "When it Began"
Audio interstitial 1: T. Rex, "Jason B. Sad"
Audio interstitial 2: The Neighborhood, "24/7"
Audio outro: The Postal Service, "Against All Odds (Take a Look at Me Now)"

Link to Mauer catching video
Link to Wilpon comments
Link to Jim Albert’s homepage
Link to new edition of Analyzing Baseball Data with R

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Max Muncy Did Something He Had Never Did Before

by
October 1, 2018

Max Muncy hit a lot of home runs this year. Including his opposite-field effort on Monday against Colorado, he hit 35 of them overall. Not only will that total rank him 14th forever among major leaguers from the 2018 campaign, it will also represent the greatest improvement for a batter between last season and this one. This year, Muncy hit 35 home runs. Last year, he hit zero of them. Arithmetic suggests that he produced a net total of +35 by this very specific measure. A perusal of the leaderboards reveals that no batter rivals him in this regard. Among the many ways in which Muncy’s 2018 season was exceptional, that’s one of them.

The purpose of this post, however, is not to catalog all the unlikely exploits of Muncy’s 2018 campaign, but rather to examine one specific way in which Muncy’s home run on Monday was different than all the others he’s ever hit. To understand the significance of that homer, though, it’s necessary first to contemplate another, different homer.

That’s footage of Muncy, tying the score against the Mariners’ Edwin Diaz in the ninth inning of an August 18th game this season. Edwin Diaz was one of the best relievers in baseball this year. Part of what makes Diaz so effective is his arm speed. Diaz threw this fastball to Muncy at 98 mph, as the hastily edited screencap below indicates.

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