I decided while working on the Top 50 Free Agents post that it would make sense to also write up the top trade target on the market. Since new Mets GM Brodie Van Wagenen said the team plans to compete in 2019, it seems like Jacob deGrom and Noah Syndergaard are unlikely to be dealt — or, at least not during the offseason. That points to J.T. Realmuto as the clear top trade target in the league (and No. 24 in July’s Trade Value Rankings) — and that’s before nearly half the questions in my chat on Wednesday were asking me how much it would cost for various teams to trade for Realmuto.

I could approach this from an insider-y perspective and tell you what teams are telling me the price probably is, but that approach is limited in a few ways. First off, I’m not sure anyone really knows what the price is: the Marlins have turned down strong offers for a year now and still seem inclined to try to extend Realmuto, even thoughhis agent said he’s not having it. Since Miami has this one major asset left to move in its rebuild, they may act irrationally, but the market pieces may be falling into place for someone to pay a price that justified this delay.

If forced to succinctly describe the current state of catching in the major leagues, I would say it sucks. I’ll let Mike Petriello to provide some details and point you to the positional leaderboard, but if you just tried to predict which catchers would be worth two-plus wins and remain at catcher primarily for the next five seasons, how many would you have? Realmuto is one, and if you think Willson Contreras and Gary Sanchez may play a lot more first base or get hurt or be inconsistent in this span, it’s possible that there isn’t another one. Being charitable, there’s just a handful, and they all cost a lot or aren’t available.

Putting all of this together, Realmuto offers the age-28 and age-29 seasons of the best long- and short-term catcher in the game, and he’ll cost between $15 million and $20 million for those seasons, depending on how his arbitration salaries work out. You have him long enough to make two runs at a title and get a comp pick at the end, an exclusive negotiating window for an extension, a non-risky length of a deal, and cheap enough salaries that any team can afford it.

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On a recent podcast episode, Eric Longenhangen and I discussed the premise for this article, which is another way of asking which organizations are healthiest in the short-to-medium term. The factor that goes furthest towards answering that question is present on-field talent, although salary, controlled years, the presence of impact minor leaguers on the horizon, and front-office quality are all relevant — as is payroll ceiling, which serves as a proxy for margin for error. With the World Series starting tonight, it seemed like the right time to look ahead at the favorites for the five World Series beyond this one.

I’ve experimented with some objective ways of measuring organizational health. I think it’s ultimately possible to produce an algorithm that would do a solid job, ranking teams objectively in a number of key categories. It would also require considerable time. Eager to arrive at some kind of answer, I’ve settled for subjective assessment for this version of the post, but I intend to work on something more systematic in the winter.

Here are the criteria I’ve considered to produce these rankings: short-term MLB talent, long-term MLB talent/upper-minors prospects, lower-minors prospects/trade capital, payroll ceiling, MLB coaching/front office, and amateur signings (draft and international). You could quibble and combine or separate a few of those groupings, or argue some of these can’t be quantified properly. You may be right, but we’ll keep tweaking things until they are.

I had originally intended to limit this list to five teams for purposes of symmetry, but the top tier looked like seven teams to me, and the sources by whom I ran this list agreed. In the same way that the I approached the Trade Value Rankings from the point of view of a medium-payroll, medium-term-focused team, I’ve undertook this exercise by asking which team would be most attractive to a prospect GM if his or her only interest is to win the most World Series possible (and not have low state income tax, run a childhood team, or live in a cool city) over the next five seasons.

Without further explanation, here are the organizations most likely to win the 2019-23 World Series.

1. Los Angeles Dodgers

The top-three teams on this list all have some reasonable claim to the top spot, but I ultimately went with the Dodgers, as they have a little more certainty in terms of on-field personnel than the Yankees possess, while both clubs feature similar built-in financial advantages. (Houston lags behind on the second count.)

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Art imitates life, and vice versa. I wouldn’t presume to call the words I scribble on these electronic pages “art” — and yet they, too, seem to imitate life. You see, way back in February, back before 26 of baseball’s 30 teams had been eliminated and hope still sprang eternal, I wrote about former Mets and Phillies outfielder Lenny Dykstra and his fantastic claims of extorting umpires. Dykstra, it should be noted, took a surprising amount of pleasure in what was, if true, undoubtedly an illegal exercise.

Now, on the topic of the former illegal exercise, one finds the following recent reprot:

Former #MLB star Lenny Dykstra facing 10 years in prison after being indicted on cocaine, meth and terroristic threat charges https://t.co/ZMTllITryJ via @usatoday

— Bob Nightengale (@BNightengale) October 11, 2018

To be fair, this isn’t Dykstra’s first run-in with the criminal justice system.

Since retiring from baseball, Dykstra has served prison time for bankruptcy fraud, grand theft auto and money laundering, and he declared bankruptcy in 2009, claiming he owed more than $31 million and had only $50,000 in assets.

Cocaine and methamphetamine charges don’t represent new territory for an ex-ballplayer: Esteban Loaiza pled guilty to the same this past August. A so-called “terroristic threat” would appear to be something altogether different, though.

Under Section 2706(a) of Title 18 of the Pennsylvania State Code, the crime of “terroristic threats” is defined thusly:

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“I love September, especially when we’re in it.”

– Willie Stargell

“Autumn is a second spring when every leaf is a flower.”

– Albert Camus

“@*%(#*&%.”

— Phillies fans, 9/18

The Setup

What precisely makes a dynasty is a point of some contention. Many believe that, however strong a run a team produces, if that run ends in something less than multiples titles, then the result can’t possibly be considered dynastic. I’m a little more liberal with the term than most, however, and I think the late-00s and early-10s version of the Phillies can rightly be regarded as a dynasty, simply for the length of time for which they remained one of the best clubs in the league. As for championships, they claimed just the one, but it’s also a lot easier to win the World Series when only two teams qualify for the playoffs, as was the case in baseball for a long time.

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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.

Officially, the Braves have sewn up the NL East, after having completed a four-game weekend sweep of the Phillies. The division was already more or less decided, but an unlikely Phillies sweep could’ve at least brought it down to the wire. Instead, the Phillies will play out the string, while the Braves get themselves set for the playoffs. On the one hand, the Phillies can’t be too disappointed — they would’ve been arriving a year or so ahead of time. On the other hand, the Braves arrived a year or so ahead of time. And this is a plot of the 2018 Phillies’ playoff odds:

As recently as August 7, the Phillies were in first place and 15 games over .500. Since then, they’ve gone an NL-worst 14-28, while the Braves have gone 27-19. Very obviously, when a team collapses, several components have to be involved. One thing I’ll highlight, though: dating back to August 8, according to Baseball Savant, Phillies pitchers have ranked seventh in baseball in expected wOBA allowed, while Braves pitchers have ranked 16th. And yet, Phillies pitchers have ranked 26th in baseball in actual wOBA allowed, while Braves pitchers have ranked third. Call it noise if you want. I’m certain that’s a part of it. The other part is defense. The Phillies’ team defense has let them down, and as the headline suggests, they’re on the verge of establishing a new record.

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This year’s National League Cy Young race invites multiple interesting questions about how best to evaluate pitching performance. Jacob deGrom, for example, is the league’s leader in ERA by a healthy amount; however, he’s also recorded only as many wins as reliever Jeremy Jeffress. Max Scherzer is having another great season, but his .255 BABIP compels one to consider whether his 2.31 ERA is the product of luck or defense (although the Nationals have recorded below-average defensive numbers both by UZR and DRS). Aaron Nola, meanwhile, has recorded a similarly low BABIP even as Philadelphia has produced NL-worst figures both by UZR and DRS. Finally, while the race has been viewed as a three-person contest for some time, it’s also possible Patrick Corbin has inserted himself into the conversation with a fantastic second half.

Sorting through the candidates is difficult. Ultimately, one’s choice for Cy Young will depend on how one weighs what a pitcher can and cannot control — and how best to quantify those effects. To start, here are some general metrics that should be familiar to FanGraphs readers.

Based on these numbers, Jacob deGrom is the pretty clear favorite for Cy honors, with Max Scherzer an equally clear runner-up. What’s less clear, however, is that the results of a vote would produce a similar outcome, as both pitcher wins and other versions of WAR are likely to influence writers — and arrive at different conclusions than the figures here. Below, I’ve included some different versions of WAR, each of which paint the field in a different light.

Here we see a version of reality that suggests greater parity in the race. Averaging the numbers above, we’d still put deGrom first, Scherzer second, and Nola third, but Scherzer actually places ahead of deGrom in two of the four metrics, while Nola and Scherzer are more closely situated. Examining how each of WAR metrics arrives at its destination can help inform how to use them. Last week, Eno Sarris took a look at some of these same issues in a discussion of how large a role luck ought to play in Cy Young voting. There is also the question of what defines “luck” in the context of pitching, what sort of control a pitcher exerts over certain outcomes, and what role a a pitcher’s park ought to play in our evaluations of him.

The metrics above all feature different inputs which, naturally, lead to different results. In the version of WAR used at FanGraphs, those inputs are innings, strikeouts, infield flies, walks, and home runs — along with factors for league and park. DeGrom leads by this particular measure because his strikeout, walk, and homer numbers are all great. Scherzer has good walk and strikeout numbers but a closer-to-average home-run rate. Nola features slightly inferior (although still excellent) strikeout and walk numbers — plus a good home-run rate — but he falls behind Corbin, who has good numbers in all three.

The next metric, RA9, is another version of WAR carried at FanGraphs — one which, in this case, simply considers the number of runs a pitcher allows while also factoring for league and park. That’s how Nola, with the very good ERA, jumps up near Scherzer, though still short of deGrom. RA9 includes runs that were scored or not scored due to defense and sequencing, but does not try to make any adjustments for those factors.

Baseball-Reference begins with something like FanGraphs’ RA9 calculation but makes further adjustments for opponent and team defense, which is a significant factor in this year’s race. Nola tops the Baseball-Reference WAR leaderboard because of how well he’s prevented runs despite Philadelphia’s poor defense. Generally the effects of these defensive adjustments are muted, but because Nola appears to be headed for one of the 10 best bWAR seasons of the last 50 years, this case invites some scrutiny. Patrick Corbin suffers from the opposite scenario: Arizona has recorded strong defensive numbers, meaning he receives a “penalty” of sorts for his contribution to run-prevention.

Here are the overall team defense numbers by DRS, which Baseball-Reference uses, and UZR, which is included in WAR for position players but not pitchers here at FanGraphs.

There is obviously a much larger spread with the DRS figures, as defensive adjustments alone mean a difference of 24 runs between Nola and Corbin, which is about four times as much as the difference by UZR.

Over at Baseball Prospectus, their Deserved Run Average (DRA) metric accounts for as many aspects of a pitcher’s game as possible and attempts to factor for everything including park, opponent, catcher, umpire, and pitch effectiveness to determine how many runs a pitcher should have allowed with all those variables rendered neutral. By their methods, Scherzer leads over deGrom, with Nola and Corbin a ways behind.

There’s certainly an argument to be made for considering the strength of a defense behind a pitcher, and reason dictates that a defense can help or hurt a pitcher’s run-prevention numbers. Defense alone, however, isn’t going to fully explain the difference between a pitcher’s FIP and ERA. Luck is involved, as well. We can use Statcast information to determine just how much defense and luck might be involved, though it won’t do a good job separating those two factors. For starters, here are the xwOBA and wOBA figures for each of the pitchers above.

In terms of what a pitcher has deserved to concede based on quality of contact, strikeouts, and walks, Scherzer has gotten just about what we might expect, while deGrom and Nola aren’t far off expectations. Corbin is the outlier here, and there is a case to be made that Arizona’s defense is partially responsible for his good fortune. What’s interesting, though, is that Corbin’s ERA is actually much higher than his FIP. This could mean that Corbin has been rather fortunate this year on home runs or that the contact he’s conceded on balls in play has been of higher quality than the sort conceded by other pitchers.

We can remove the most skill-based aspects from above by taking out strikeouts and walks and looking at xwOBA on just batted balls.

Here we see almost no effect on Scherzer’s outcomes, with a slight benefit for deGrom and Nola, and then a big help for Corbin. You’ll note that the league-wide numbers are off by 15 points from each other, likely due to a potentially dead baseball, as the estimates on launch angle and exit velocity are based on previous seasons, when the ball was perhaps a bit more lively. As we are looking at numbers between pitchers in this season alone, the comparisons still provide value. What happens when we remove home runs and look solely at batted balls? See below.

In theory, these numbers factor in both defense and luck on batted balls this season. As we can see, it appears that, whatever poor defense has victimized Nola has likely been evened out by good fortune. The same is true for deGrom. Scherzer, meanwhile, appears to have received a slight benefit, with Corbin being the recipient of some good defense in Arizona. This probably doesn’t leave the reader with any definite conclusions. We have a better idea about the quality of contact and how defense might have affected run totals — which is to say not much — but the extent to which a pitcher exerts control over that contact is also a matter of debate.

If you believe that a pitcher controls very little of opponent contact — or, alternatively, are unsure of the level of control — the version of WAR hosted here at FanGraphs is your main resource. If you believe that a pitcher is wholly responsible for the quality of contact he concedes and also that defensive quality doesn’t move the needle much in one direction or another, RA9/WAR makes some sense for you. If you believe further adjustment needs to be made for defense, bWAR can provide some help. If you want a more granular look at individual pitches, DRA provides guidance. If you just want something based entirely on xwOBA, a crude attempt is made below.

While the question of value is somewhat objective, there is some subjectivity involved, but if making a decision on the Cy Young, it’s important to have as much information as possible to determine why one pitcher might be better than the other. It isn’t enough to simply prefer one stat over another and blindly rely on it because you generally agree with the methodology. Look at how the results are reached to make the best possible decision.

*****

As promised in the final paragraph above, here’s a rough approximation of WAR based on xwOBA:

A while back, I wrote about Angel Hernandez and his lawsuit against Major League Baseball. In said piece, I noted that “[p]layers in both the American and National League voted Hernandez one of the game’s three worst umpires. (In case you’re wondering, Joe West was worse in both leagues.)”

It’s time to talk about Country Joe West. West hasn’t sued anybody lately, but he did manage to get himself in a kerfuffle involving the Phillies, Austin Davis, and a piece of paper.

So as to prolong the suspense, it’s worth noting why West is considered a bad umpire. Unlike Angel Hernandez, his reputation isn’t necessarily for creative calls. In fact, back in 2007, The Hardball Times named him baseball’s most consistent umpire (though he called this balk on Tony Cingrani).

No, West is more known for his colorful personality. He was suspended for calling Adrian Beltre the “biggest complainer” in baseball. And he also likes staring matches. Like this staring match with Madison Bumgarner.

And this staring match with Jimmy Rollins.

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Notes on prospects from lead prospect analyst Eric Longenhagen. Read previous installments here.

Note from Eric: Hey you, this is the last one of these for the year, as the minor-league regular season comes to a close. Thanks for reading. I’ll be taking some time off next week, charging the batteries for the offseason duties that lie ahead for Kiley and me.

D.J. Peters, CF, Los Angeles Dodgers
Level: Double-A   Age: 22   Org Rank: 7   FV: 45+
Line: 4-for-7, 2 HR, 2B (double header)

Notes
A comparison of DJ Peters‘ 2017 season in the Cal League and his 2018 season at Double-A gives us a good idea of what happens to on-paper production when a hitter is facing better pitching and defenses in a more stable offensive environment.

Reports of Peters’ physical abilities haven’t changed, nor is his batted-ball profile different in such a way that one would expect a downtick in production. The 2018 line is, I think, a more accurate distillation of Peters’ abilities. He belongs in a talent bucket with swing-and-miss outfielders like Franchy Cordero, Randal Grichuk, Michael A. Taylor, Bradley Zimmer, etc. These are slugging center fielders whose contact skills aren’t particularly great. Players like this are historically volatile from one season to the next but dominant if/when things click. They’re often ~1.5 WAR players who have some years in the three-win range. Sometimes they also turn into George Springer.

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A little less than four weeks ago, I wrote about Phillies rookie Victor Arano. Originally expected to play only a minimal role (if any role at all) with the club this season, Arano has paired with Seranthony Dominguez to lead a Philadelphia bullpen that has aided the club’s surprising pursuit of a division title. Arano’s opportunity to provide meaningful innings would not have been possible had certain other relievers for the Phillies not fallen by the wayside. Tommy Hunter (0.5 WAR) and Pat Neshek (0.6 WAR) have certainly been serviceable, but they’ve fallen a little short of expectations. As for projected closer Hector Neris, he’s fallen well short of them, putting up a 6.90 ERA, 6.39 FIP, and -0.7 WAR through the end of June before earning a demotion to Triple-A.

Neris was recalled to Philadelphia on August 14th and has looked like an entirely different pitcher since his return. In the smallest of samples, Neris has struck out 16 batters, walked one, and allowed three hits in 26 batters faced. This performance — one of the best two-week stretches by a reliever this season — would have been entirely unexpected given his first half. His return comes at a time when the rest of the Phillies’ bullpen performance has been flagging, and his continued excellence will be a necessity if the team wants to emerge from a crowded Wild Card field.

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