Meg Rowley FanGraphs Chat – 2/19/19

2:00
Meg Rowley: Hello, and welcome to the chat.

2:00
Meg Rowley: HAPPY MACHADO DAY

2:00
Mark: Mannnnyyyyy!!!!!!!

2:00
MadKyleDisease: MEG ITS HAPPENING

2:00
CamdenWarehouse: Congrats to Dave Cameron!

2:00
Chris: I heard some guy signed. Your thoughts?

Read the rest of this entry »


Dustin Pedroia Tries to Rebound

It’s a rare day when a player looks back on a championship-winning season with something approaching regret, but then, Dustin Pedroia didn’t get much chance to contribute to the Red Sox during their World Series-winning 2018 campaign. After being limited to 105 games in 2017, largely due to ongoing discomfort in his left knee, Pedroia underwent an experimental cartilage restoration procedure that was expected to cost him the first couple months of last season. He returned in late May, but played just three games before inflammation forced him back to the injured list, and he spent the rest of the season as a bystander as the Sox overcame his absence while romping to their fourth title in the last 15 seasons.

“I don’t regret doing it, but looking back and knowing what I know now, I wouldn’t have done it,” Pedroia told reporters in Fort Myers last week, referring to the surgery, called osteochondral allograft transfer surgery, which involves grafting cartilage from a cadaver. While basketball and soccer players had undergone the procedure prior to Pedroia, teammate Steven Wright was the only baseball player who had done so.

The 35-year-old second baseman, who had previously undergone surgery to repair a torn meniscus in his left knee in October 2016 (among his numerous other ailments), believes both that he pushed himself too hard and that some of the expectations with regards to recovery times were “a little off.” In retrospect, he believes that avoiding the surgery in favor of longer rest and rehab might have been a more productive route. “It’s a complicated surgery,” said Pedroia. “The cartilage in my knee is great now. The graft is the thing. You’re putting somebody else’s bone in your body. To get that to incorporate fully, there are so many things going into it that.”

For what it’s worth, Wright, who was limited to 53.2 innings last year by three separate trips to the injured list for left knee inflammation (as well as a 15-game suspension for violating the league’s domestic violence policy) and missed the entire postseason, is similarly less than enamored with the results of his cartilage restoration surgery, which took place on May 8, 2017, 5 1/2 months prior to Pedroia’s. “It’s been tougher mentally than physically,” he told reporters last week. “It’s a game where it’s tough on your body, but then when you’ve got a flat tire going out there trying to pitch, it makes it a little bit tougher.” Wright later said that his knee currently feels like it’s been from a flat tire to a spare.

In anticipation of Pedroia’s early-2018 absence, the Red Sox retained July 2017 acquisition Eduardo Núñez in free agency, but both he and utilityman Brock Holt struggled in the role, to the point of topping my Replacement Level Killers list in late July. To that point, Sox second sackers had combined for a sad-sack -0.7 WAR. On July 30, they traded for the Tigers’ Ian Kinsler, who was replacement-level as well, though he did represent a defensive upgrade. In all, the eight players Boston used at second base — a cast rounded out by Brandon Phillips, Tzu-Wei Lin, Mookie Betts (!), and Blake Swihart — combined to hit .252/.308/.350 for a 75 wRC+ and -0.3 WAR. Only the Giants and Tigers were worse in the last two categories.

All of the participants save for Phillips and Kinser (who signed with the Padres) remain on the Red Sox’s 40-man roster. President of baseball operations Dave Dombrowski told reporters last week that he’s not expecting Pedroia to play 150 games. “We’re hopeful that he’s a 125-game player at this point,” said Dombrowsk. “We do feel we have some people who are solid and can fill in. To fill in if [Pedroia] plays 120, guys like Holt, a guy like Nunez coming over there. Even some depth with Tzu-Wei Lin in our organization we like a great deal.”

Our current depth charts projections, which feature Pedroia getting 74% of the team’s plate appearances at second base, forecast him for a .272/.344/.390 line with 2.0 WAR, and for the group as a whole to return 2.5 WAR, good for 12th in the majors. While the Red Sox would probably be overjoyed if things unfold that way, history suggests there may be less reason for optimism. Along the lines of what I did for Troy Tulowitzki last August, I asked Dan Szymborski to put together a list of infielders who are over 30 — shortstops and third basemen as well as second basemen, in order to start with a larger pool than the Tulo study — and missed all or nearly all of a season, then returned to the majors. I used 100 plate appearances as the upper limit for the “missed” season (Pedroia had 13), and confirmed with a variety of resources that the players’ absences were due to injuries, not detours to foreign leagues or mere attrition. As before, I considered only players from 1980 onward. The resulting list of 18 players was less than encouraging, to say the least:

Infielders 30 and Over Who Missed Most or All of a Season
Name Year Age Pos PA wRC+ WAR Year PA wRC+ WAR
Troy Glaus 2008 31 3B 637 128 4.8 2010 483 104 0.0
Rick Burleson 1981 30 SS 490 116 4.0 1983 134 95 -0.1
Derek Jeter 2012 38 SS 740 117 3.2 2014 634 75 0.2
Alex Gonzalez 2007 30 SS 430 99 2.2 2009 429 58 0.3
Aaron Boone 2003 30 3B 656 102 2.1 2005 565 80 0.2
Randy Velarde 1996 33 2B 611 106 1.8 1998 224 108 0.5
Jeff Frye 1997 30 2B 442 102 1.7 1999 131 82 -0.5
Herbert Perry 2002 32 3B 496 109 1.6 2004 153 69 -0.3
John Valentin 1999 32 3B 503 78 1.3 2001 70 64 0.0
Art Howe 1982 35 3B 415 80 1.2 1984 161 71 0.0
Jay Bell 2001 35 2B 509 93 0.9 2003 142 49 -0.8
Rafael Furcal 2012 34 SS 531 86 0.7 2014 37 23 -0.2
Carney Lansford 1990 33 3B 564 90 0.6 1992 561 102 1.9
Alex Gonzalez 2011 34 SS 593 75 0.6 2013 118 11 -0.9
Tony Fernandez 1995 33 SS 438 77 0.5 1997 442 93 2.1
Scott Spiezio 2004 31 3B 415 67 -0.1 2006 321 123 1.3
Cesar Izturis 2010 30 SS 513 46 -0.4 2012 173 56 -0.4
Rafael Santana 1988 30 SS 521 66 -0.6 1990 13 87 -0.1
Average 528 92 1.5 266 83 0.2

One can wave off individual results here and there on various grounds. Sports medicine has improved vastly over the past four decades, and in considering Pedroia, it’s debatable how much we can extrapolate from players’ failures to recover from injuries to other body parts, such as Jeter’s ankle, the shoulders of Burleson, Glaus, and Perry, or the elbows of Fernandez, Howe (who also underwent ankle surgery), and a quartet of Tommy John surgery recipients (Furcal, Izturis, Santana, and Velarde). We can also debate the propriety of comparing the fates of players who were 30 or 38 at the start of these sequences to that of a 34-year-old.

Even so, within the timeframe, I couldn’t find any examples of an over-30 infielder who was significantly above replacement level both before missing most or all of a season and then again in his return year. Gonzalez (the “Sea Bass” one) underwent microfracture surgery in his left knee in March 2008 and did post a big 3.0 WAR season in 2010; he’s in this table twice thanks to a 2012 torn ACL. And Velarde, who underwent Tommy John surgery, totaled about 10 WAR from 1999-2001, but both needed at least one more year to recover form.

That said, three players who had dreadful seasons pre-injury did rebound substantially upon returning. Lansford, the regular third baseman for the A’s from 1983-1990 (including their three pennant-winning teams from 1988-1990) was pretty lousy in the last of those seasons, then suffered serious right shoulder and left knee injuries while snowmobiling in Oregon in January 1991. A’s vice president Sandy Alderson said at the time, “Carney’s contract doesn’t say he can snowmobile and it doesn’t say he can’t,” adding that the team declined to pursue terminating his employment. Lansford played just five games in the 1991 season, but returned for a solid 1992 season before retiring.

Fernandez, who racked up 43.5 WAR in a career that spanned from 1983-2001, endured a career-worst season as the Yankees’ starting shortstop in 1995, then fractured his right elbow in March 1996. The Yankees turned to the 22-year-old Jeter, who went on to win AL Rookie of the Year honors while helping the team win its first championship in 18 years. Fernandez missed the entire season, then resurfaced with the Indians in 1997, hitting for a 93 wRC+ with 2.1 WAR; he spent three more years in the majors and accumulated 4.9 WAR.

Spezio, a useful infielder for the Angels (6.6 WAR from 2000-2003), struggled in the first year of a three-year, $9.15 million deal with the Mariners (67 wRC+ and -0.1 WAR in 415 PA) in 2004. Between being relegated to a backup role by the free agent signings of Adrian Beltre and Richie Sexson, missing 10 weeks due to an oblique strain, and then drawing his release in late August, he was limited to 51 PA in 2005. Divorce, depression, and substance abuse — the last two of which would further derail his career years later — were contributing factors to his 2005 struggles. Nonetheless, he played a significant role for the Cardinals’ 2006 championship team, posting a 123 wRC+ and 1.3 WAR in 321 PA.

Even with that trio in my quick-and-dirty study, the group of players I identified averaged a meager 83 wRC+ and 0.2 WAR in their returns. Limiting the player pool to those whose pre-injury seasons were worth at least 1.0 WAR, which clears out some light hitters whose careers were essentially on their last legs anyway, the averages are 81 wRC+ (down from 105 pre-injury) and 0.0 WAR (down from 2.4) — an even steeper drop that probably owed something to more complete players getting longer leashes.

All of which is to say that if history is a guide, the 2019 Red Sox may not get anything close to the Pedroia they’re used to, the one who has never really had a below-average season. Even in his most injury-wracked campaigns, when his bat has been about average (98 wRC+ in 2014, 101 in 2017), he’s played at a three-win pace, solidly above average if not up to the standard that helped him make four All-Star teams and win four Gold Gloves from 2008-14. That said, even a slog of a season is unlikely to mean the end of the line for Pedroia, given that he’s still owed $40 million through 2021 via the eight-year, $110 million extension he signed in July 2013.

If Pedroia can recover some semblance of form, the stakes are high; he still has a shot at a Hall of Fame berth. He’s got the hardware (AL MVP, AL Rookie of the Year, three World Series rings, two of them as starter), but with 1,803 hits, he needs two seasons worth of playing time to reach 2,000, a number that has functioned as a bright-line test for Hall voters when it comes to post-1960 players. Likewise he’s still short in JAWS. He’s 19th among second basemen at 47.3, 9.6 points below the standard, but he’s only 2.0 WAR below the seven-year peak standard (42.4 versus 44.4). Given Chase Utley’s retirement short of 2,000 hits, Kinsler’s fade, and the PED suspension of Robinson Cano, none of this era’s aging second baseman have clear paths to Cooperstown, but a functioning if not fully resurgent Pedrioa would be best positioned to change that.

Of course, talk of any resurgence is premature when discussing a player whose availability can’t yet be taken for granted. If he’s batting leadoff on Opening Day, per manager Alex Cora’s promise for when he’ll return, Pedroia will have hit the first big mark.


Reviewing Last Year’s Top 100 List

Each year, we strive to improve our process for ranking prospects. Part of that is reviewing our past rankings to identify any trends or biases that may have emerged. This post doesn’t represent a comprehensive effort to do so. Rather, think of it more as a first step to finding any low-hanging fruit we may have missed.

The 2018 version of our Picks to Click was less formal than this year’s edition. Last year, we listed 62 players, representing a mix of those in striking distance of the top 100, guys we thought would improve their rankings in 2019, and players we just liked. This year, we narrowed it down further to players who have never been a 50 FV before and who hadn’t appeared on the 2018 Picks to Click list. The aim is to have a leaner list with a higher percentage of players who will become 50 FV prospects for the first time next year.

We identified 15 of the 33 players who were new to the 2019 Top 100 in the 2018 Picks to Click (this excludes Yusei Kikuchi and the players drafted in 2018, as none of them were eligible for last year’s list). A handful of the 18 we didn’t include in our Picks to Click were close to last year’s Top 100 and wouldn’t have been much of a stretch to rank; a few were late cuts from both lists. All told, we picked about half of the new Top 100 talents. The 62 players on last year’s Picks to Click essentially broke down into three equal groups: stock up, steady, and stock down. Our goal is that this year’s leaner and more-focused group of 55 prospects will beat that mark. We also found the Picks to Click group of performers with lesser tools had our worst outcome (the success was Brandon Lowe, who would’ve been shoehorned into another group if this one didn’t exist), so we axed that subset from this year’s incarnation.

On last year’s Top 100, we included honorable mentions for the rest of the 50 FV prospects, which got us to 139 total players. I’ve manually graded whether the stock of those 139 went up, down, or held steady in 2019, and added a “slight” modifier for the in-between cases. Read the rest of this entry »


Prospect Limbo: The Best of the Post-Prospects

Prospects “graduate” from prospect lists when they exceed the playing time/roster days necessary to retain rookie eligibility. But of course, that doesn’t mean they’re all in the big leagues for good. Several are up for a while but end up getting bounced back and forth from Triple-A for an extended period of time. Others get hurt at an inopportune moment and virtually disappear for years.

Nobody really covers these players in a meaningful way; they slip through the cracks, and exist in a limbo between prospectdom and any kind of relevant big-league sample. Adalberto Mondesi, Jurickson Profar, A.J. Reed, and Tyler Glasnow are recent examples of this. To address this blind spot in coverage, I’ve cherry-picked some of the more interesting players who fall under this umbrella who we didn’t see much of last year, but who we may in 2019. Read the rest of this entry »


2019 ZiPS Projections – New York Yankees

After having typically appeared in the hallowed pages of Baseball Think Factory, Dan Szymborski’s ZiPS projections have now been released at FanGraphs for more than half a decade. The exercise continues this offseason. Below are the projections for the New York Yankees.

Batters

After I posted the Yankees’ WARtoon on twitter, lots of people responded by picking the overs, particularly when it came to Luke Voit. Don’t be greedy. This is essentially a mean projection of 96-99 or so wins. Didn’t you learn the meaning of A Christmas Carol? If you hoard all the WAR, you will be visited by George Steinbrenner’s ghost. Wait, that actually sounds pretty cool, unless he brings along a ghastly manifestation of the Ken Phelps trade. (What is a ghost’s favorite player? Jay BOO-hner.)

ZiPS may be low on Voit, but 2.4 WAR per 600 plate appearances is an above-average first baseman, and Voit doesn’t have a long track record of excellence. It was only in 2017 that ZiPS started being interested in him, seeing his combined major league time and minor league translation as a .283/.352/.481 line. In 2018, the combined line was .284/.361/.516, not all that different in the big picture. Voit’s not a young player, and while he has hit very well in the majors, a player’s minor league career doesn’t just evaporate the second they hit the bigs and rock the league in a cup of coffee (see: Chris Singleton or Shane Greene).

The Yankees appear to have an almost Dodgers-like level of flexibility, with a number of infielders who can theoretically play every other position on the diamond. It’s a bit of over-engineering, but ideally, top teams should accumulate depth in this manner. I’d argue that the Phillies ought to have tried to sign Mike Moustakas, though he may not have been all that interested upon realizing that he’d basically be the team’s backup in the event Manny Machado cares to sign.

ZiPS now projects Aaron Hicks to be the fifth best center fielder in baseball. It’s a weird timeline, but we’re in it. Hicks is a borderline star and the fluke talk should be more or less behind us. Read the rest of this entry »


One Final Look at 2019 Hall of Fame Results

Editor’s Note: In the run up to the January 22 Hall of Fame announcement, we were fortunate to feature a few pieces from Anthony Calamis and Adam Dore, members of Ryan Thibodaux’s excellent team that tracks public Hall of Fame ballot. This is the final such piece. Be sure to check out the ballot tracker, which is an indispensable tool for any Hall of Fame enthusiast.

Last month, the National Baseball Hall of Fame and Museum announced their latest group of inductees. Mariano Rivera received a vote on 100% of the ballots cast, while Edgar Martinez, Roy Halladay and Mike Mussina also cleared the 75% minimum.

Of the 35 players on the ballot, 11 got zero votes: Rick Ankiel, Jason Bay, Freddy Garcia, Jon Garland, Travis Hafner, Ted Lilly, Derek Lowe, Darren Oliver, Juan Pierre, Vernon Wells and Kevin Youkilis.

The results for the other 24 players are summarized below:

2019 BBWAA Hall of Fame Results
Player Final % Votes
Mariano Rivera 100.0 425
Edgar Martinez 85.4 363
Roy Halladay 85.4 363
Mike Mussina 76.7 326
Curt Schilling 60.9 259
Roger Clemens 59.5 253
Barry Bonds 59.1 251
Larry Walker 54.6 232
Omar Vizquel 42.8 182
Fred McGriff 39.8 169
Manny Ramirez 22.8 97
Jeff Kent 18.1 77
Scott Rolen 17.2 73
Billy Wagner 16.7 71
Todd Helton 16.5 70
Gary Sheffield 13.6 58
Andy Pettitte 9.9 42
Sammy Sosa 8.5 36
Andruw Jones 7.5 32
Michael Young 2.1 9
Miguel Tejada 1.2 5
Lance Berkman 1.2 5
Roy Oswalt 0.9 4
Placido Polanco 0.5 2
Source: National Baseball Hall of Fame

With 425 ballots cast, the average ballot contained 8.01 names, down from 2018’s 8.46. 42.8% of voters used all 10 available votes, down from 50.0% last year.

Nearly half of the 3,404 total votes cast were awarded to candidates who are no longer on the ballot. 1,671 votes (49.1%) went to inductees Rivera, Martinez, Halladay, and Mussina, final-year candidate McGriff, and the quintet of players who failed to received the minimum 5% to remain on the ballot.

The result of having a four-man induction class – to go along with a swan song candidate who received a vote on nearly two fifths of all ballots – is that an average of 3.93 votes per ballot will be freed up come next year. Given 2019’s 8.01 votes-per-ballot overall average, the 2020 election cycle begins with just 4.08 returning candidates per ballot.

With nearly six open spots on the average ballot heading into next year, the 2020 results are bound to look quite a bit different than those we saw a month ago. For starters, there is a strong possibility of only a single new Hall of Famer earning election via the BBWAA.

Derek Jeter is expected to draw a vote share near 100%, but none of the other first-year eligible players are expected to garner significant support. Bobby Abreu should have a decent chance to clear the 5% minimum to be on the 2021 ballot, but it’s possible none of the rest of Jason Giambi, Cliff Lee, Alfonso Soriano, Paul Konerko, Josh Beckett, Adam Dunn, Rafael Furcal, and Eric Chavez do. That will leave a lot of room for returning candidates to either begin gathering momentum or continue building on it.

Full ballot voters may add multiple new candidates next year, since many who regularly check 10 boxes have indicated they would vote for 11 or more if the bylaws permitted it.

Following the BBWAA’s publishing of voluntary public ballots, we have collected 168 of the overall 182 10-player ballots cast in the Tracker. Looking specifically at the full ballots, the average number of votes for players making their final ballot appearance was 4.46, more than half a vote higher than the overall ballot average of 3.93.

If we assume that Jeter collects 100% of the vote (he will probably receive 99% – 100% of the vote anyway), then voters who submitted a ballot with the full allotment of 10 names have an average of only 6.54 spots filled in 2020, even after including Jeter.

Since the BBWAA returned to annual voting in 1966, the record for the largest year-over-year decrease in votes per ballot is 1.23, from 2007 to 2008; only two other times has votes per ballot decreased by more than 1.0. The 1.23 vote per ballot decrease (from 6.58 to 5.35) came following the elections of Cal Ripken Jr. and Tony Gwynn, both of whom received over 97.5% of the vote. In 2008, Tim Raines (24.3%) was the only first-time eligible candidate to receive more than two votes, and his vote share was only slightly above 15th-year candidate Steve Garvey’s 21.1% showing the year prior.

The 14 players who got between 5% and 75% and will return to the 2020 ballot received an average of 4.08 votes per ballot. If voters tie the record for the largest decrease, there is still more than 2.5 votes per ballot to be spread out among newcomers and returnees next year.

There is a strong possibility that many of the 14 returning candidates receive at least a double-digit percentage increase from last year.

Overall Trends

When we last checked in on public voting data the afternoon of the announcement, there were 227 ballots logged in the Tracker. A few more ballots trickled in over the ensuing hours, increasing the total number of tracked ballots to 232 when Jeff Idelson stepped up the podium to announce the results.

Since the announcement, another 125 ballots have been made public. The 357 known ballots account for about 84% of the ballots cast, a Tracker-era high water mark.

The latest results in the Tracker are summarized in the following table, which shows how each player has done on the total public ballots, ballots released before and after the announcement, and those ballots that have not yet been released.

2019 Hall of Fame Detailed Ballot Tracker Results
Player Final % (of 425) Public % (of 357) Public Pre-Results % (of 232) Public Post-Results % (of 125) Private % (of 68)
Mariano Rivera 100 100 100 100 100
Edgar Martinez 85.4 87.7 89.7 84 73.5
Roy Halladay 85.4 87.4 92.2 78.4 75
Mike Mussina 76.7 79.8 81.5 76.8 60.3
Curt Schilling 60.9 64.7 69.8 55.2 41.2
Roger Clemens 59.5 62.2 70.7 46.4 45.6
Barry Bonds 59.1 62.2 70.7 46.4 42.6
Larry Walker 54.6 59.7 65.9 48 27.9
Omar Vizquel 42.8 43.1 38.4 52 41.2
Fred McGriff 39.8 40.6 39.7 42.4 35.3
Manny Ramirez 22.8 21.3 25.4 13.6 30.9
Jeff Kent 18.1 18.2 17.2 20 17.6
Scott Rolen 17.2 18.8 21.1 14.4 8.8
Billy Wagner 16.7 17.9 17.2 19.2 10.3
Todd Helton 16.5 16.2 18.1 12.8 17.6
Gary Sheffield 13.6 13.2 13.8 12 16.2
Andy Pettitte 9.9 9 6.9 12.8 14.7
Sammy Sosa 8.5 9 11.2 4.8 5.9
Andruw Jones 7.5 8.1 8.2 8 4.4
Michael Young 2.1 2.2 1.3 4 1.5
Miguel Tejada 1.2 1.1 0.9 1.6 1.5
Lance Berkman 1.2 1.4 0.9 2.4 0
Roy Oswalt 0.9 1.1 0.9 1.6 0
Placido Polanco 0.5 0.6 0 1.6 0
Source: HOF Tracker

Among the interesting trends to emerge from the post-results data is Omar Vizquel receiving the sixth-most votes behind only the four inductees and Curt Schilling, Mussina receiving more than 75% of the vote on post-results public ballots, and Andy Pettitte tying Helton and outpolling Sheffield and others.

This marks the second consecutive cycle in which Vizquel finished markedly better in the final results than he was on track to. In 2018, he jumped from 33.5% to 37.0%, and this year he went from 38.4% to 42.8%.

The recent history of players getting 40-45% in their first five years has been a mixed bag, but Vizquel seems better positioned to make a slow climb than some of the others who have been in this range.

Jeff Bagwell began in a similar place to Vizquel but needed until 2017, his seventh year of eligibility, to gain the necessary 75%. It took Mussina a total of six years, with three coming after he entered the 40% range. Schilling and Barry Bonds, on the other hand, are still waiting and conceivably may never get there.

Recent Candidates with 45-50% of Vote, First Five Years
Player Percentage Year on Ballot Year Years to Election
Curt Schilling 45.00% 5th 2017 2 and counting
Barry Bonds 44.30% 4th 2016 3 and counting
Mike Mussina 43.00% 3rd 2016 3
Omar Vizquel 42.80% 2nd 2019 N/A
Jeff Bagwell 41.70% 1st 2011 6
Source: HOF Tracker

Encouragingly, 32 voters who did not vote for Vizquel in 2018 added him this year, the fourth-most among all returning candidates and the most among those with multiple years of eligibility remaining.

Nine voters withdrew their support for his case, but some of that could be temporary. One voter who “dropped” Vizquel cited ballot management, preferring to support Sheffield, while another added back Bonds after a temporary hiatus. Both of those voters chose 10 players. Nonetheless, the nine lost votes were tied with Manny Ramirez for the most in the cycle, and could be a sign of things to come for Vizquel.

Mussina got 76.7% of the votes overall, and was the only interesting bubble candidate heading into the announcement. The other 34 players were essentially guaranteed to either exceed 75% or fall short.

Moose was at 81.5% at the time of the announcement, and saw a drop of 6.5% from his pre-announcement public ballots to final percentage in 2018. That drop off shrank this year, however, leading to his induction. It is interesting to update data originally included in our piece from the day of the announcement.

The year before they were elected, Jeff Bagwell, Mike Piazza, and Tim Raines saw their pre-announcement public percentages fall 6.7%, 6.3%, and 5.6%, respectively. When they cleared 75%, those figures dropped to 1.4%, 3.3%, and 2.8%, respectively. Mussina benefitted from this phenomenon as well; the aforementioned 6.5% turned into a 4.8% decrease this year.

Are Walker and/or Schilling, who each saw their percentage drop by around 10% this year, be next in line? It is entirely possible both spend much of the 2020 cycle above 75% on public ballots.

Besides Mussina and the question of Rivera’s unanimity, the most interesting topic leading into the announcement was probably Pettitte and how the post-results ballots would treat him. After getting under 7% support on pre-announcement public ballots, Pettitte received a vote on about 13% of the post-results public ballots, and is on more than 14% of the private ballots. Helton had a better overall debut, but the two were similarly well-received on these later ballots.

Pettitte could stand to be a huge beneficiary of the ballot logjam easing in 2020 and 2021, as he is on just 16 of the 168 known 10-player ballots.

Inductees

The only drama concerning Rivera was whether or not he’d become the first unanimous Hall of Fame choice by the BBWAA. Now that one player has been elected unanimously, will more follow? Derek Jeter could do it next year, and perhaps Albert Pujols, Miguel Cabrera, Ichiro Suzuki, and others could in the years that follow.

Rivera’s induction breaks one of the more bizarre baseball traditions and permanently puts an end to the notion that no candidate can be a unanimous baseball Hall of Famer since nobody before him was. That a relief pitcher became the first player ever to receive every single vote speaks volumes about Rivera’s stature in the game and quiets complaints of an “anti-closer” bias.

Martinez, as expected, easily cleared the 75% threshold in his final year of eligibility after falling just 20 votes short in 2018.

In so doing, he became only the seventh candidate in the annual voting era to miss induction in each of their first two years and then subsequently be elected with a vote share of greater than 85%, following Raines (86.0% in 2017), Bagwell (86.2% in 2017), Barry Larkin (86.4% in 2012), Rich Gossage (85.8% in 2008), Billy Williams (85.7% in 1987), and Duke Snider (86.5% in 1980).

He just barely missed breaking Raines’ record for highest percentage of votes received in a player’s last year of eligibility, but did break Paul Molitor’s record for the highest percentage for any player who played a plurality of their games at DH has gotten. Molitor got 85.2% in his first year of eligibility in 2004, a hair behind Martinez’ 85.4% share.

Halladay missed out on a top 10 share for a starting pitcher, but still finished with the 16th highest percentage of any starter ever.

The inductions of both Halladay and Mussina could bode well for Schilling and make him a down-to-the-wire case next year along with Walker. Two starting pitching contemporaries making it to Cooperstown may increase consideration Schilling receives among his current holdouts. With Schilling, however, there will always be the matter of his off-field persona to contend with.

Among public 2019 voters, 27 did not vote for Schilling after having done so at least once previously. A handful of voters have been on record stating they will no longer vote for him due to his vitriolic comments, but it is unclear how many of the aforementioned 27 withdrew their support for these reasons.

Considering that Schilling lost just one vote he had received in 2018 – on a ballot that included just three names this past year – it’s fair to speculate that Schilling won’t be getting many of those 27 votes back.

Mussina’s induction continues the recent trend of players receiving under 25% of the vote before subsequently earning induction. He is the fifth player to be elected by the BBWAA after getting under 25% of the vote at some point, following Tim Raines, Bert Blyleven, Bruce Sutter, and Duke Snider.

That Mussina received 24.6% just four years ago and is now in Cooperstown offers hope to a number of candidates who have struggled to earn support in the last number of years. Multiple down-ballot candidates could be primed for a huge breakthrough in 2020 following 11 inductees in the last three elections. Any number of candidates currently in the 10% – 20% range could begin the long climb to 75% à la Martinez or Mussina

Larry Walker

The most intriguing situation on next year’s ballot will be Walker’s push for 75% in his final year of eligibility. If he were to get there, he’d be the third player in the last four years to cross 75% in their last chance.

Walker received 232 votes on the 425 ballots cast this year, 87 votes away from the magic threshold. With 193 “no” votes, he needs a bit less than half of the people who didn’t vote for him to change their minds.

Walker has at least 33 chances to gain a vote on ballots containing 10 names, and at least 42 additional chances to gain a vote on ballots containing eight or nine names with Bonds or Clemens, or seven, eight or nine names without them.

2019 Ballot Size Breakdown
Ballot Size Number of Ballots Number w/ Bonds and/or Clemens Number w/out Bonds and/or Clemens
10 33 29 4
9 16 13 3
8 19 15 4
7 11 4 7
6 16 7 9
5 21 7 14
4 12 3 9
3 6 1 5
2 6 0 6
1 4 0 4
Source: HOF Tracker

Those three groups were all ones with which Mussina excelled this year as he made the climb from below 64% to above 76%, and will be key for Walker as well.

Mussina gaining entrance this year also makes it more likely that some of the 69 ballots not included above could add him as they lose anywhere from 1 to 5 players on their ballots.

Others

The cat is already out of the bag that Walker will be the most fascinating story to follow nine months from now. Schilling has an outside chance at election as well. Beyond those top two returning vote-getters from last year, there is plenty of room for growth for numerous other candidates who will appear on the 2020 ballot.

Bonds and Clemens received the next highest vote shares of any returning candidates after Walker and Schilling, but are once again unlikely to gain much ground in 2020. After Clemens reeled in 54.1% and Bonds 53.8% in 2017, the two have seen only marginal vote increases in the two years since. Clemens increased 3.2% in ‘18 and 2.2% in ‘19, while Bonds gained 2.6% followed by 2.7% in the same timeframe.

Both will surpass 60% next year but probably not by more than a couple percentage points. It is possible that they gain some new support from voters who are typically stingier with awarding votes. Perhaps after seeing the ballot logjam rapidly clearing, voters would prefer to vote for this pair rather than return a ballot with only two or three names checked.

Expanding on the earlier exploration of his candidacy, Vizquel finds himself in a favorable position with a 42.8% share in 2019. Already more than 5% past the halfway point to election, Vizquel has another eight years to pick up an additional 32.2% – which would require right around a 4.0% annual increase. Most candidates in a similar position have historically been elected, often sooner rather than later, as the rate of increase tends to increase rapidly once a candidate holds a majority of the votes.

Overall, there are 168 public 10-player ballots. Of them, eight voters will have at most four holdovers, 71 will have five holdovers, 80 have six holdovers, and nine will have seven or eight holdovers.

Number of Add Opportunities on 10-player Ballots for Candidates Under 25%
Number of Open Spots Holdovers Already on Ballot
Player 6+ 5 4 2/3 BB+RC CS/LW/OV BB/RC, 2 of CS/LW/OV
Manny Ramirez 7 66 43 4 100 28 81
Jeff Kent 6 57 61 6 117 28 96
Scott Rolen 7 51 55 5 106 32 86
Billy Wagner 4 54 65 7 121 34 100
Todd Helton 6 53 66 7 122 37 101
Gary Sheffield 8 59 69 3 117 33 98
Andy Pettitte 8 68 70 6 131 34 108
Sammy Sosa 8 67 65 8 126 36 105
Andruw Jones 6 63 69 9 130 35 108
Notes: BB = Barry Bonds; RC = Roger Clemens; CS = Curt Schilling; LW = Larry Walker; OV = Omar Vizquel
Source: HOF Tracker

Each of these candidates has at least 100 add opportunities on full ballots, and all except Ramirez and Scott Rolen have at least 95 chances to gain a vote on full ballots that already have Bonds, Clemens, and two or more of Schilling, Walker and Vizquel.

From 2018 to 2019, the percentage of voters using all 10 spots decreased from 50% to 42.8%, and a similar decrease this year would still leave a lot of space for these candidates to pick up considerable ground.

In that vein, it is worthwhile to look at how holdovers did in the following year recently.

Ballot Holdover Performance
Year 0 Year 0 Average Holdovers Year 1 Votes for Returning Holdovers Change / “Gained Votes” Year 0 Inductees
2016 5.53 2017 6.36 0.83 2
2017 5.50 2018 5.95 0.45 3
2018 4.77 2019 5.83 1.06 4
2019 4.08 2020 TBD TBD 4
Source: HOF Tracker

The lower total of gained votes per ballot for returning candidates in 2018 can be explained by a very strong showing from first-time candidates that same year. Chipper Jones and Jim Thome both sailed into Cooperstown on their first try, with 97.2% and 89.8% of the vote, respectively. Both of those marks were higher than all three 2017 inductees – Bagwell, Raines, and Ivan Rodriguez.

Vizquel’s healthy 37.0% debut accounted for a higher share than Lee Smith’s final year showing of 34.2% the prior year. Rolen and Jones each received enough support to remain on the ballot.

The average votes gained jumped to more than one full vote per ballot in 2019, despite two first-ballot inductees. The big difference was that this past election followed a four-player induction class, whereas 2018 followed up a three-man class.

It is pretty much a guarantee that the 1.06 mark will improve substantially in 2020 after another four inductees and McGriff are off the ballot, and with Jeter the only newcomer likely to earn much support.

With ballots for 168 of the 182 10-player ballots, and 357 of the 425 total ballots, it is possible to get a good sense for how voters will react to the downturn in first-ballot locks over the next three cycles and better spot trends. We’re excited to pick it up again next year.


Could Players Collude With Each Other?

Over the course of yet another slow offseason, we’ve talked about labor relations and the free agent freezeout. But what we haven’t talked about is the opposite scenario.

So let’s take a look at answering this question: can players (and their agents) legally collude with each other? Teams colluding is somewhat straightforward: clubs make a collective decision to refuse to employ a player, or to offer a player more than a certain amount. We don’t have to go too far back in history to see what that looks like; the NFL, for instance, recently paid almost $80 million to settle claims that they did just that against quarterback Colin Kaepernick. For a baseball example, one need only look to the collusion cases of the 1980s, which ultimately resulted in ownership paying players a $280 million settlement; more recently, Barry Bonds filed (and lost) a grievance for collusion after the 2007 season.

Collusion by players wouldn’t be as simple. Players could, I suppose, all agree to not sign with one or more teams, but that would be inherently self-defeating if it restricted their own markets. More interesting would be if the players decided to coordinate on salary demands.

So let’s say that Manny Machado and Bryce Harper get frustrated at the slow-moving free agent market and tell their agents, Dan Lozano and Scott Boras, to coordinate their negotiations and agree that neither will sign for less than $300 million. Would that be collusion?

The preeminent legal definition of collusion is from Darren Heitner and Jillian Postal, who wrote a particularly excellent note on the subject for Harvard Law School’s Journal of Sports and Entertainment Law.

Collusion at its core is collective action that restricts competition. Under federal law, particularly the Sherman Anti-Trust Act (the “Sherman Act”), collusion is prohibited; however, because of labor exemptions, what constitutes collusive, prohibited behavior in specific sports leagues varies based on the league’s negotiated collective bargaining agreement (“CBA”).

Now, in case you were wondering, the word “collusion” doesn’t appear in the Major League Rules, and it doesn’t appear in the Collective Bargaining Agreement either. However, the Collective Bargaining Agreement does say in Article XX – governing the Reserve System – that rights under the CBA are individual, not collective.

The utilization or non-utilization of rights under Article XIX(A)(2) and Article XX is an individual matter to be determined solely by each Player and each Club for his or its own benefit. Players shall not act in concert with other Players and Clubs shall not act in concert with other Clubs.

That’s the language that bars collusion. As Marc Edelman explained for Forbes:

Although collusion under Baseball’s collective bargaining agreement is not identical to collusion under U.S. antitrust laws, the language and case precedence track similarly. Under antitrust law, mere parallel behavior among competitors is not enough to trigger a violation. But, parallel behavior along with a plus factor is sufficient.

That’s just a fancy way of saying that the mere fact that everyone is acting in the same way isn’t enough on its own to trigger a violation of the CBA’s collusion language. That’s why the current talk of collusion based on teams possessing similar player valuations, like the recent comments from reliever Brad Brach, is probably misguided; unless the valuations were based on a universal metric or algorithm all teams share, it’s probably insufficient to constitute collusive action.

So what does constitute collusion? Unfortunately, the CBA never actually specifies the necessary evidentiary showing. Per Heitner and Postal, “The Basic Agreement does not provide what burden needs to be met in order to prevail in this type of grievance.”

Nevertheless, we know that for players to collude in violation of Article XX(E), they’d have to not only have the same salary demands – which would be parallel behavior – but also coordinate their salary demands with each other. Now, to do that, they’d probably use their agents – and while agents aren’t mentioned in Article XX’s prohibition on collusion, they are, well, agents. Legally, under something called agency law, the authorized actions of an agent are considered, legally speaking, the actions of the principal. So if Manny Machado and Bryce Harper tell Lozano and Boras to coordinate their negotiations, the players aren’t exempt from violating Article XX(E) simply because their agents are the ones doing the coordinating.

Despite that, Major League Baseball can’t actually enforce those collusion rules against Machado and Harper or their agents. That’s because of a small oversight in the CBA. Again, from Heitner and Postal:

Article XX(E) prohibits concerted action from both Clubs and players, but the Basic Agreement fails to specify any redress if players violate the provision. The remaining sections of Article XX(E) outline the damages players can collect if they show a violation of Section E(1). Sections E(2) and E(3) provide that in addition to awarding attorney’s fees and costs, an arbitrator can award an aggrieved player treble damages, calculated from lost baseball income if the injury was the product of two or more clubs.106 Further, if five (5) or more clubs are shown to have violated Section E(1), the MLB Players Association (“MLBPA”) is entitled to reopen the Basic Agreement for renegotiation.

In other words, the CBA says that players can’t collide, but provides no punishment if they do so. That means that even if players did collude, MLB probably couldn’t do anything about it.

So why don’t players and their agents collude all the time? That’s actually a question we’ve answered already, back when we discussed agents and conflicts of interest. Remember, the MLBPA has some pretty strict rules governing agents and conflicts of interest:

§5(B)(12) – Actual or Potential Conflicts of Interest – No Player Agent, Expert Agent Advisor or Applicant shall engage in any conduct which, in the MLBPA’s reasonable judgment, may create an actual or potential conflict of interest with the effective representation of players, or the appearance of such a conflict, provided that the simultaneous representation of two or more players on any one Club shall not, standing alone, constitute a per se violation of this provision.

Lozano and Boras coordinating their negotiations would absolutely be a violation of that provision. That’s because coordination of negotiations would mean that agents are doing something other than trying to extract the best deal possible for their own clients. It might not be actionable collusion, but it might be something worse for the agents: breach of fiduciary duty, resulting in the loss of their agency certifications. And that’s why players and their representatives don’t collude – in addition to potentially getting worse deals, if they tried, their agents would likely lose their jobs.


Dan Szymborski FanGraphs Chat – 2/18/19

12:02
Avatar Dan Szymborski: Powered by bourbon and a few packs of Smarties, it’s the Dan Szymborski Chat!

12:02
Rick C: Can you elaborate further on the projections for Soto vs Acuna?  Of course Soto being above Harper even was a surprise, but he’s more than a full win ahead of Acuna.

12:02
Avatar Dan Szymborski: Acuña projects as more valuable as a centerfielder, he can’t leverage all his talents in a corner!

12:02
CamdenWarehouse: Reminder – Moose is a Hall of Fame pitcher. Mousse just signed a contract with the Brewers

12:03
Avatar Dan Szymborski: If Babe Ruth can share with like a dozen guys, Moose can share.

12:04
Avatar Dan Szymborski: It’s not even Mussina’s to hoard: Moose Haas, Moose Skowron, and Randy Milligan shared it with him with nary a protest!

Read the rest of this entry »


2019 ZiPS Projections – Minnesota Twins

After having typically appeared in the hallowed pages of Baseball Think Factory, Dan Szymborski’s ZiPS projections have now been released at FanGraphs for more than half a decade. The exercise continues this offseason. Below are the projections for the Minnesota Twins.

Batters

In a league that is largely dominated by teams at the extremes of winning and rebuilding, the Minnesota Twins represent an increasingly rare breed: the excruciatingly, unbearably, average team. If you look at the lineup from top to bottom, there just aren’t any horrible weaknesses, with the bottom of the ZiPS ranks (Jorge Polanco, and the catching and first base timeshares) still living in the neighborhood of league-average; no scary negatives or zero-point-somethings lurk in there. But the highs aren’t really that high, either; Nelson Cruz tops the projections at 2.6 WAR, thanks to a .266/.348/.500 line. That’s the lowest top projected offensive WAR for any team that hopes to be a realistic contender in 2019.

This situation is not entirely the team’s fault, of course. ZiPS, like the Twins and most prospect-watchers, thought that Byron Buxton and Miguel Sano would, by this point, be players who formed the core of Minnesota’s lineup. There are a number of valid criticisms of how the Twins have managed Buxton and Sano, especially the former. Buxton’s inconsistent performance has been maddening, but so has the team’s tendency to go back-and-forth on whether he needed to be in the majors or the minors at any given time. His regular injuries add another frustrating complication. ZiPS has generally been optimistic about Buxton’s future, even when he’s struggled in the majors, but at this point, it’s only buying him as a league-average overall performer thanks to his excellent glove. It’s a good thing I don’t believe in curses; several years ago, I noted that ZiPS was rather cruel in assigning Carlos Gomez as Buxton’s top offensive comp, but it’s been more on-target than a computer can understand.

One of the problems with having a team full of average players is that it becomes damned hard to upgrade. There’s nowhere in the lineup where the Twins can be improved by any significant margin by adding a two-win player; really, even a three-win player would be an underwhelming addition at most positions. To upgrade the team’s offense, they need to add a legitimate star. And if that’s less likely to come by way of giant breakouts from Sano or Buxton than it once appeared, money becomes the best option in the short-term. After chasing Yu Darvish last year, I thought the Twins might sneakily be real players in the free agent market this offseason, but they really haven’t been. In a division with three rebuilding teams and a Cleveland squad whose plan in the outfield includes a heavy dose of Jordan Luplow, it feels like Minnesota should be more carpe diem and less dimitte diem.

Pitchers

The theme of being largely average continues with the pitching staff. Only Jose Berrios (at 14-10, 3.93, and 3.2 WAR) really pushes out of that middling range in the rotation. While his 2018 looked vaguely similar to his 2017, Berrios bumped up his strikes by a batter a game, and it still feels like that he has some ceiling left, even if ZiPS sees him continuing to pitch at about the same level. Berrios’s changeup has always looked nastier than it’s actually played on the field. I can’t speak for Twins fans, but to me, it’s looked like a pitch that should have struck out more than a mere 15 batters (against 11 home runs) in the right-hander’s brief career.

ZiPS remains unexcited about Blake Parker — one of the Twin’s “big” offseason moves — getting the highest-leverage innings, and instead sees Taylor Rogers or Trevor May (higher upside) as being better suited for the role. The projections are also bullish on Andrew Vasquez, a big lefty who serves up more sliders than White Castle and who rose from the Florida State League to the American League in ten weeks. But overall, the back of the bullpen looks shallower than other contenders’ and the highs are not quite as high. Of the teams that look to be around .500 or better, ZiPS projects Minnesota’s bullpen to be around the bottom, along with the Washington Nationals.

Bench and Prospects

Nick Gordon‘s offensive development has been a bit spotty, but ZiPS still sees him as a league-average regular in his prime, on the level of a slightly-better Polanco. That’s fine, but Royce Lewis’s projection is more exciting, with ZiPS seeing him peak as a 20-25 home run hitter, with projected lines in the .260/.330/.460 range, which will still work if he ends up playing center field rather than short in the majors. He even projects as useful if he were to play in the bigs this year, which is an impressive feat for a player with two months of Hi-A experience. As for Alex Kirilloff, while ZiPS doesn’t see him ever being a high-OBP player when his batting average inevitably comes down, his prime projections check in with just over a .280 batting average, with slugging percentages peeking just over the .500 mark.

One pedantic note for 2019: for the WAR graphic, I’m using FanGraphs’ depth chart playing time, not the playing time ZiPS spits out, so there will be occasional differences in WAR totals.

Ballpark graphic courtesy Eephus League. Depth charts constructed by way of those listed here at site.

Batters – Counting Stats
Player B Age PO G AB R H 2B 3B HR RBI BB SO SB CS
Nelson Cruz R 38 DH 131 474 65 126 19 1 30 101 50 113 1 0
Max Kepler L 26 RF 147 516 74 127 31 5 20 70 61 107 6 4
Eddie Rosario L 27 LF 148 565 84 156 30 5 23 78 30 117 9 5
Willians Astudillo R 27 C 102 364 40 102 18 1 15 49 9 18 4 4
Jonathan Schoop R 27 2B 150 561 74 146 31 1 25 90 26 140 1 1
Byron Buxton R 25 CF 116 403 54 95 18 5 12 45 28 136 17 2
Miguel Sano R 26 3B 112 411 60 93 19 1 25 70 56 176 1 0
C.J. Cron R 29 1B 135 475 59 123 27 2 24 80 32 119 2 2
Logan Forsythe R 32 2B 121 401 51 98 20 1 8 39 51 102 4 2
Jorge Polanco B 25 SS 118 456 54 120 23 5 10 61 35 89 10 6
Nick Gordon L 23 SS 138 561 61 138 25 6 7 50 33 132 16 6
Jake Cave L 26 CF 132 486 67 120 23 4 17 63 37 160 5 3
Jason Castro L 32 C 89 280 32 58 14 1 7 28 35 99 0 0
Logan Morrison L 31 1B 113 374 50 87 17 1 20 59 47 98 3 1
Taylor Motter R 29 3B 110 384 47 88 21 1 13 48 36 90 13 6
Luis Arraez L 22 2B 119 455 49 122 19 4 4 37 27 60 3 4
Joe Mauer L 36 1B 121 459 56 124 25 2 6 47 52 85 1 1
Tyler Austin R 27 1B 109 385 51 89 21 2 21 64 35 144 3 2
Mitch Garver R 28 C 106 356 43 83 21 2 8 46 37 99 1 1
Lucas Duda L 33 1B 103 338 40 76 18 0 18 57 39 115 1 0
LaMonte Wade L 25 LF 113 424 54 104 14 3 9 41 51 86 8 3
Royce Lewis R 20 SS 118 481 57 112 21 3 12 50 32 109 19 8
Alex Kirilloff L 21 RF 128 511 62 138 30 3 17 68 27 110 3 3
Ehire Adrianza B 29 SS 106 296 36 72 16 1 5 34 23 66 5 2
Wynston Sawyer R 27 C 66 223 27 52 11 0 5 22 23 62 2 2
Dean Anna L 32 2B 115 412 49 100 16 2 2 31 41 65 5 5
Ronald Torreyes R 26 2B 91 273 28 72 13 2 1 21 12 36 1 1
Zach Granite L 26 CF 105 391 45 97 13 3 3 28 29 56 18 8
Brian Schales R 23 3B 129 438 49 98 20 3 9 47 44 128 3 3
Michael Reed R 26 CF 107 357 49 77 16 1 10 37 54 136 10 5
Tomas Telis B 28 C 104 346 40 90 14 2 4 35 20 45 3 2
Brian Navarreto R 24 C 98 348 30 72 15 0 4 25 12 76 0 1
Jermaine Curtis R 31 3B 67 223 27 49 9 0 3 18 27 54 3 1
Jeremy Hazelbaker L 31 CF 102 296 36 61 13 3 10 35 28 117 10 2
Jordan Gore B 24 SS 101 344 36 76 11 2 3 25 29 104 4 2
Brent Rooker R 24 1B 125 489 62 110 24 2 21 67 41 167 4 2
Leonardo Reginatto R 29 3B 93 329 31 76 13 1 3 26 18 76 4 4
Luke Raley L 24 1B 118 475 59 107 17 7 12 50 30 166 4 1
Drew Maggi R 30 2B 84 286 29 63 12 1 2 20 22 77 11 6
Wilin Rosario R 30 1B 114 419 50 104 22 1 16 63 23 104 5 3
Andy Wilkins L 30 1B 80 276 34 56 13 1 13 40 27 96 2 0
Randy Cesar R 24 3B 115 449 46 106 18 1 7 40 27 144 2 2
Jordany Valdespin L 31 2B 68 227 25 55 9 2 3 19 16 43 7 4
Adam Rosales R 36 2B 117 324 36 67 15 1 9 36 24 100 2 3
Mike Olt R 30 3B 84 290 33 56 12 0 10 31 32 117 0 0
Jaylin Davis R 24 RF 118 445 47 93 18 2 12 45 30 169 6 3
Zander Wiel R 26 1B 122 469 52 103 22 3 12 51 38 134 5 2
Edgar Corcino B 27 RF 105 394 41 94 17 3 7 37 26 94 3 2
Jordan Pacheco R 33 C 58 147 12 29 6 0 1 9 10 33 0 0

 

Batters – Rate Stats
Player PA BA OBP SLG OPS+ ISO BABIP RC/27 Def WAR No. 1 Comp
Nelson Cruz 540 .266 .348 .500 127 .234 .290 6.4 0 2.6 Joe Adcock
Max Kepler 586 .246 .328 .442 107 .196 .275 5.2 6 2.2 Robin Jennings
Eddie Rosario 602 .276 .310 .469 108 .193 .313 5.4 7 2.2 Rondell White
Willians Astudillo 385 .280 .307 .459 104 .179 .263 5.2 3 2.0 Bengie Molina
Jonathan Schoop 601 .260 .300 .453 101 .193 .306 4.9 0 2.0 Kevin Kouzmanoff
Byron Buxton 440 .236 .291 .395 84 .159 .325 4.4 11 1.9 Reggie Sanders
Miguel Sano 471 .226 .321 .460 109 .234 .324 5.2 -3 1.7 Mark Reynolds
C.J. Cron 523 .259 .317 .476 111 .217 .298 5.5 0 1.5 Larry Sheets
Logan Forsythe 461 .244 .336 .359 90 .115 .309 4.3 1 1.2 Dick Green
Jorge Polanco 501 .263 .316 .401 93 .138 .308 4.6 -4 1.1 Kurt Stillwell
Nick Gordon 603 .246 .292 .349 74 .103 .310 3.7 6 1.0 Carlos Garcia
Jake Cave 533 .247 .303 .416 93 .169 .333 4.5 -2 1.0 LaVel Freeman
Jason Castro 319 .207 .299 .339 73 .132 .293 3.5 6 1.0 Jerry Goff
Logan Morrison 428 .233 .325 .444 106 .211 .262 5.1 -1 1.0 Carmelo Martinez
Taylor Motter 425 .229 .296 .391 85 .161 .267 4.1 3 0.9 Tom Brookens
Luis Arraez 493 .268 .309 .354 80 .086 .302 3.9 5 0.8 Martin Prado
Joe Mauer 517 .270 .345 .373 96 .102 .321 4.7 3 0.8 Mike Hargrove
Tyler Austin 426 .231 .298 .460 102 .229 .309 4.8 0 0.7 Jason Dubois
Mitch Garver 398 .233 .307 .371 83 .138 .301 4.0 -2 0.7 Chad Moeller
Lucas Duda 387 .225 .315 .438 102 .213 .283 4.8 0 0.7 Graham Koonce
LaMonte Wade 486 .245 .330 .356 87 .111 .289 4.3 2 0.5 Trevor Penn
Royce Lewis 522 .233 .286 .364 75 .131 .278 3.7 0 0.5 Asdrubal Cabrera
Alex Kirilloff 545 .270 .306 .440 100 .170 .315 4.9 -5 0.4 Jose Guillen
Ehire Adrianza 328 .243 .299 .355 77 .111 .298 3.8 -1 0.3 Doug Strange
Wynston Sawyer 253 .233 .316 .350 81 .117 .301 3.8 -3 0.2 Bob Henley
Dean Anna 468 .243 .320 .306 72 .063 .284 3.4 2 0.2 Don Blasingame
Ronald Torreyes 291 .264 .294 .337 71 .073 .301 3.6 3 0.2 Mario Diaz
Zach Granite 428 .248 .302 .320 70 .072 .283 3.5 3 0.1 Leo Garcia
Brian Schales 491 .224 .300 .345 75 .121 .296 3.5 0 0.1 Pedro Castellano
Michael Reed 417 .216 .321 .350 83 .134 .318 3.9 -6 0.0 Todd Self
Tomas Telis 373 .260 .305 .347 77 .087 .290 3.8 -4 0.0 Kirt Manwaring
Brian Navarreto 368 .207 .243 .284 43 .078 .254 2.3 11 0.0 Alex Sutherland
Jermaine Curtis 261 .220 .323 .300 72 .081 .277 3.4 -1 -0.1 Rico Rossy
Jeremy Hazelbaker 328 .206 .278 .372 75 .166 .302 3.7 -2 -0.1 Dewayne Wise
Jordan Gore 380 .221 .281 .291 56 .070 .308 2.8 3 -0.2 Adam Haley
Brent Rooker 537 .225 .291 .411 88 .186 .296 4.2 -4 -0.4 Kevin Eberwein
Leonardo Reginatto 356 .231 .275 .304 58 .073 .292 2.8 4 -0.4 Steve Sisco
Luke Raley 525 .225 .291 .366 77 .141 .320 3.8 1 -0.4 Otis Green
Drew Maggi 316 .220 .284 .290 57 .070 .295 2.8 1 -0.5 Ray Holbert
Wilin Rosario 451 .248 .295 .420 91 .172 .294 4.4 -6 -0.5 Tom Nevers
Andy Wilkins 308 .203 .276 .399 80 .196 .257 3.8 -2 -0.5 Jay Gainer
Randy Cesar 480 .236 .279 .327 64 .091 .332 3.2 1 -0.5 Jack Hannahan
Jordany Valdespin 249 .242 .300 .339 74 .097 .287 3.6 -7 -0.6 Luis Maza
Adam Rosales 357 .207 .265 .343 64 .136 .270 3.0 -1 -0.7 Shane Halter
Mike Olt 327 .193 .276 .338 66 .145 .282 3.1 -4 -0.7 Jose Santos
Jaylin Davis 483 .209 .266 .339 63 .130 .307 3.1 4 -0.9 Daniel Carte
Zander Wiel 516 .220 .283 .356 72 .136 .282 3.5 0 -1.0 Brian Turner
Edgar Corcino 426 .239 .287 .350 72 .112 .297 3.5 -3 -1.0 Ed Yacopino
Jordan Pacheco 161 .197 .255 .259 41 .061 .248 2.2 -6 -1.0 Chad Moeller

 

Pitchers – Counting Stats
Player T Age W L ERA G GS IP H ER HR BB SO
Jose Berrios R 25 14 10 3.93 32 32 183.3 169 80 22 59 181
Kyle Gibson R 31 11 10 4.48 29 29 170.7 178 85 22 65 135
Jake Odorizzi R 29 9 8 4.45 30 30 153.7 148 76 22 59 136
Zack Littell R 23 9 8 4.57 30 22 141.7 152 72 17 53 109
Martin Perez L 28 8 7 4.58 26 22 129.7 144 66 13 45 79
Fernando Romero R 24 8 7 4.64 25 22 132.0 143 68 16 47 91
Ervin Santana R 36 7 7 4.61 21 21 121.0 124 62 19 36 90
Lewis Thorpe L 23 7 7 4.67 24 23 113.7 119 59 17 42 102
Taylor Rogers L 28 3 2 3.22 70 0 67.0 61 24 5 19 63
Kohl Stewart R 24 6 6 4.80 27 22 131.3 142 70 14 58 86
Adalberto Mejia L 26 6 6 4.41 22 20 100.0 106 49 12 35 77
Stephen Gonsalves L 24 9 9 4.84 28 24 124.7 126 67 13 72 104
Michael Pineda R 30 5 4 4.50 15 15 80.0 88 40 12 21 72
Devin Smeltzer L 23 6 6 4.78 31 17 107.3 124 57 17 28 79
Andrew Vasquez L 25 3 2 3.68 46 1 66.0 57 27 6 31 76
D.J. Baxendale R 28 3 3 4.63 32 11 79.7 89 41 10 24 52
Gabriel Moya L 24 3 3 4.23 64 8 76.7 74 36 10 27 71
Sean Poppen R 25 7 7 4.95 25 21 116.3 130 64 16 42 80
Trevor Hildenberger R 28 5 4 4.00 65 0 69.7 69 31 9 19 64
Cody Stashak R 25 3 3 4.76 30 9 73.7 78 39 11 25 60
Blake Parker R 34 2 1 3.88 61 0 58.0 53 25 8 20 62
Addison Reed R 30 4 3 3.94 63 0 61.7 64 27 7 16 50
Trevor May R 29 3 2 3.86 49 0 44.3 41 19 5 19 48
Tyler Duffey R 28 5 5 4.31 57 1 79.3 82 38 10 23 68
Ryne Harper R 30 3 3 3.95 37 0 57.0 56 25 7 17 55
Randy LeBlanc R 27 6 6 5.18 19 14 83.3 95 48 10 31 47
Tyler Wells R 24 7 8 5.29 22 21 102.0 110 60 18 39 83
Mike Morin R 28 3 3 4.37 48 2 57.7 62 28 7 15 45
Justin Nicolino L 27 6 8 5.26 27 24 131.7 164 77 22 39 71
Adam Bray R 26 3 3 5.03 24 9 77.0 93 43 15 18 55
Kevin Comer R 26 3 3 4.58 47 1 57.0 59 29 7 27 50
Matt Belisle R 39 1 1 4.40 43 0 45.0 47 22 6 12 34
Alan Busenitz R 28 4 4 4.79 49 2 67.7 73 36 10 24 56
Jake Reed R 26 2 2 4.74 36 1 49.3 49 26 6 24 41
Preston Guilmet R 31 1 1 4.66 36 1 46.3 48 24 8 13 43
Ryan Eades R 27 4 4 5.38 31 10 80.3 88 48 12 34 59
Dario Alvarez L 30 2 2 4.58 38 0 37.3 36 19 5 21 39
Austin D. Adams R 32 2 2 4.91 30 1 33.0 35 18 4 17 27
Dan Camarena L 26 6 8 5.62 24 23 117.0 140 73 20 46 74
Luke Bard R 28 3 3 4.73 40 0 59.0 60 31 8 27 54
Jorge Alcala R 23 6 8 5.62 24 17 91.3 99 57 14 59 71
Chris Gimenez R 36 0 0 9.00 4 0 4.0 6 4 2 0 1
Pat Dean L 30 5 7 5.76 18 15 89.0 115 57 15 25 41
Dusten Knight R 28 3 3 5.02 35 1 57.3 62 32 10 24 49
Matt Magill R 29 3 3 4.94 45 0 58.3 59 32 10 28 56
Tim Collins L 29 3 3 5.24 59 0 44.7 45 26 6 29 42
Chase De Jong R 25 7 9 5.76 29 27 148.3 178 95 29 53 89
Tyler Jay L 25 5 6 5.66 34 8 76.3 90 48 13 31 46
Zack Weiss R 27 3 4 5.54 33 1 37.3 39 23 7 22 35
Jeff Ames R 28 2 3 6.17 38 1 46.7 48 32 9 36 47

 

Pitchers – Rate Stats
Player TBF K/9 BB/9 HR/9 BABIP ERA+ ERA- FIP WAR No. 1 Comp
Jose Berrios 778 8.89 2.90 1.08 .292 111 90 3.91 3.2 Jack Morris
Kyle Gibson 747 7.12 3.43 1.16 .300 98 103 4.47 2.0 Omar Olivares
Jake Odorizzi 661 7.97 3.46 1.29 .286 98 102 4.47 1.9 Roger Bailey
Zack Littell 628 6.92 3.37 1.08 .307 96 105 4.48 1.5 Aaron Cook
Martin Perez 570 5.48 3.12 0.90 .305 95 105 4.35 1.4 Jim O’Toole
Fernando Romero 586 6.20 3.20 1.09 .301 94 106 4.64 1.3 Cha-Seung Baek
Ervin Santana 519 6.69 2.68 1.41 .285 95 105 4.72 1.3 Bob Forsch
Lewis Thorpe 500 8.08 3.33 1.35 .306 94 107 4.57 1.1 Danny Borrell
Taylor Rogers 279 8.46 2.55 0.67 .296 136 74 3.22 1.1 Sparky Lyle
Kohl Stewart 592 5.89 3.97 0.96 .300 91 110 4.73 1.1 Rick Berg
Adalberto Mejia 438 6.93 3.15 1.08 .304 96 104 4.37 1.1 Scott Sauerbeck
Stephen Gonsalves 569 7.51 5.20 0.94 .302 90 111 4.71 1.0 Jimmy Anderson
Michael Pineda 345 8.10 2.36 1.35 .319 97 103 4.16 1.0 Brian Tollberg
Devin Smeltzer 472 6.62 2.35 1.43 .313 91 109 4.69 0.8 Kevin Pickford
Andrew Vasquez 287 10.36 4.23 0.82 .302 119 84 3.67 0.8 Buzz Oliver
D.J. Baxendale 350 5.87 2.71 1.13 .304 94 106 4.53 0.6 Bill Fischer
Gabriel Moya 329 8.33 3.17 1.17 .294 100 100 4.17 0.6 Pat Clements
Sean Poppen 519 6.19 3.25 1.24 .305 86 117 4.83 0.6 Michael Macdonald
Trevor Hildenberger 296 8.27 2.45 1.16 .300 109 92 3.98 0.5 Jeff Tam
Cody Stashak 323 7.33 3.05 1.34 .300 92 109 4.64 0.5 Steve Parris
Blake Parker 246 9.62 3.10 1.24 .294 109 92 3.99 0.4 Steve Reed
Addison Reed 261 7.30 2.34 1.02 .305 107 93 3.83 0.4 Kent Tekulve
Trevor May 192 9.74 3.86 1.02 .305 113 88 3.87 0.4 Jason Bulger
Tyler Duffey 340 7.71 2.61 1.13 .305 101 99 4.06 0.4 Jose Santiago
Ryne Harper 243 8.68 2.68 1.11 .304 107 93 3.87 0.3 Terry Leach
Randy LeBlanc 374 5.08 3.35 1.08 .302 84 119 4.88 0.3 Brian Allard
Tyler Wells 453 7.32 3.44 1.59 .300 83 121 5.14 0.3 Carlos Crawford
Mike Morin 249 7.02 2.34 1.09 .307 100 100 4.10 0.3 Bill Fischer
Justin Nicolino 593 4.85 2.67 1.50 .312 80 124 5.27 0.2 Wade Blasingame
Adam Bray 341 6.43 2.10 1.75 .315 84 119 5.15 0.2 Dick Marlowe
Kevin Comer 256 7.89 4.26 1.11 .308 95 105 4.57 0.1 Mike Gardner
Matt Belisle 193 6.80 2.40 1.20 .295 96 104 4.31 0.0 Boom-Boom Beck
Alan Busenitz 298 7.45 3.19 1.33 .307 91 110 4.61 0.0 Rob Marquez
Jake Reed 219 7.48 4.38 1.09 .295 92 108 4.65 0.0 Ken Wright
Preston Guilmet 199 8.35 2.53 1.55 .301 91 110 4.51 0.0 Dan Giese
Ryan Eades 362 6.61 3.81 1.34 .302 81 123 5.08 0.0 Preston Larrison
Dario Alvarez 169 9.40 5.06 1.21 .304 92 108 4.65 0.0 Arnold Earley
Austin D. Adams 150 7.36 4.64 1.09 .307 89 112 4.73 0.0 Jerry Johnson
Dan Camarena 534 5.69 3.54 1.54 .309 78 128 5.44 0.0 Rich Rundles
Luke Bard 264 8.24 4.12 1.22 .304 92 108 4.66 -0.1 Sean Green
Jorge Alcala 430 7.00 5.81 1.38 .302 78 128 5.69 -0.1 Edwin Morel
Chris Gimenez 18 2.25 0.00 4.50 .267 49 206 9.15 -0.2 John Gardner
Pat Dean 402 4.15 2.53 1.52 .314 76 132 5.36 -0.2 Dave Gassner
Dusten Knight 257 7.69 3.77 1.57 .304 84 119 5.12 -0.2 John Koronka
Matt Magill 261 8.64 4.32 1.54 .299 86 117 5.05 -0.3 Kevin Gryboski
Tim Collins 207 8.46 5.84 1.21 .305 83 120 5.10 -0.3 Arnold Earley
Chase De Jong 671 5.40 3.22 1.76 .302 76 132 5.71 -0.3 Mark Ratekin
Tyler Jay 350 5.42 3.66 1.53 .303 77 129 5.61 -0.3 Wade Blasingame
Zack Weiss 172 8.44 5.30 1.69 .302 76 131 5.64 -0.4 Ryan Baker
Jeff Ames 224 9.06 6.94 1.74 .302 71 141 6.15 -0.7 Bart Evans

 

Disclaimer: ZiPS projections are computer-based projections of performance. Performances have not been allocated to predicted playing time in the majors — many of the players listed above are unlikely to play in the majors at all in 2019. ZiPS is projecting equivalent production — a .240 ZiPS projection may end up being .280 in AAA or .300 in AA, for example. Whether or not a player will play is one of many non-statistical factors one has to take into account when predicting the future.

Players are listed with their most recent teams, unless I have made a mistake. This is very possible, as a lot of minor-league signings go generally unreported in the offseason.

ZiPS’ projections are based on the American League having a 4.29 ERA and the National League having a 4.15 ERA.

Players who are expected to be out due to injury are still projected. More information is always better than less information, and a computer isn’t the tool that should project the injury status of, for example, a pitcher who has had Tommy John surgery.

Both hitters and pitchers are ranked by projected zWAR — which is to say, WAR values as calculated by me, Dan Szymborski, whose surname is spelled with a z. WAR values might differ slightly from those which appear in full release of ZiPS. Finally, I will advise anyone against — and might karate chop anyone guilty of — merely adding up WAR totals on a depth chart to produce projected team WAR.


Milwaukee Brings Back the Moose

Free agency was supposed to be different for Mike Moustakas this time around. Last winter, coming off his second All-Star appearance and a career-high 38 home runs, the longtime Royals third baseman turned down a $17.4 million qualifying offer in anticipation of a multiyear contract, only to receive a frosty reception on the open market. Ultimately, he made a belated return to Kansas City on a one-year deal, was traded to the contending Brewers in late July, and hit free agency again this fall — this time without a qualifying offer and associated draft pick compensation. Yet once again, he only landed a considerably discounted one-year contract. He’ll return to the Brewers on a $10 million deal that includes a mutual option for 2020.

Moustakas, who turned 30 on September 11, hit a combined .251/.315/.459 with 28 homers, a 105 wRC+, and 2.4 WAR in 2018. His offense wasn’t quite what it was in 2017 (.272/.314/.521, 114 wRC+) but his defense improved significantly in terms of both DRS (from -8 in 2017 to 2 in 2018) and UZR (from -4.5 to 1.0). Given that he was finally more than a year removed from the right ACL tear that limited him to 27 games in 2016, that shouldn’t be tremendously surprising; according to Statcast, his average sprint speed also increased substantially, from 24.0 feet per second to 25.7, though even that puts him somewhere around the 15th percentile of major league regulars.

Moustakas’ defensive rebound helped offset his slight offensive downturn; his overall WAR was a bit ahead of his 2.1 from 2017, if still shy of his career-best 3.8 in 2015. He’s not what you’d call the most disciplined hitter; his 37.0% rate of swinging at pitches outside the zone places him in the 15th percentile among qualifiers, while his 7.7% walk rate puts him in the 35th percentile. He doesn’t strike out much (16.2%, 72nd percentile), but even so, 2018 saw his highest K rate since 2012, his first full major league season. A pull-happy hitter, he had 372 plate appearances against a traditional shift, the majors’ third-highest total. He hit for just a .243 average with a .311 slugging percentage and a 43 wRC+ in those plate appearances, which is 14th percentile stuff. Combine that with his non-blazing speed and you get a .259 BABIP, the majors’ 15th lowest among qualified hitters.

Read the rest of this entry »