The Oakland Bullpen Has Been a Borderline Miracle

Over the weekend, the A’s swept the Rangers. On its own, that’s hardly remarkable. The A’s are a good team, and they’re playing for something. The Rangers are a worse team, and they’re playing to stop playing. Given the extra distance the A’s put between themselves and the Mariners, this might’ve been the weekend the AL playoff picture was basically decided. Where it gets interesting is when you see how the A’s won the three games. Besides scoring 23 runs, I mean.

On Friday, the A’s resorted to using an opener, in the person of Liam Hendriks. He threw a scoreless inning. On Saturday, Edwin Jackson started, and he allowed four runs in three innings. On Sunday, Trevor Cahill started, and he allowed three runs in 2.2 innings. The A’s starters combined for 6.2 frames, with a 9.45 ERA. Many have been skeptical of the A’s for a while, and they’ve pointed to the starters as the reason. The starters, you see, are not great.

But all the innings not thrown by starters were thrown by relievers. Over the weekend, no team’s bullpen threw more innings than Oakland’s 20.1. It allowed a wOBA of .250, with a 2.66 ERA. The A’s swept the series, even though the starters weren’t helpful at all. Part of the reason is because they hit. And part of the reason is because of the relief. Relieving has really been the main story here. Even I can’t believe the statistics.

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Cast Ballots for the 2018 Fans’ Scouting Report

Since either the dawn of time or the year 2002, analyst Tom Tango — who currently serves as senior database architect on MLB’s Statcast team — has facilitated the Fans’ Scouting Report, either at his site or (beginning last year) right here at FanGraphs. The project represents an attempt to harness the wisdom of the crowds with a view to better understanding player defensive skill — and not just that, but to translate that skill into something like a “runs saved” metric. The results from previous years are available both on individual player pages and in the form of a leaderboard.

The purpose of this post is to announce that ballots are now open for the 2018 edition of the Fans’ Scouting Report. When completing your ballot, a few things to remember:

  1. Don’t adjust ratings by position!
  2. Don’t adjust ratings by position!
  3. Rely on your eyes. Don’t look at fielding percentage, UZR, DRS, etc.
  4. Only submit ratings for players on whom you have an actual opinion.
  5. Don’t adjust ratings by position!

Ballots will be open for a few weeks. Once the voting is complete, we will compile the ratings and release the results of the 2018 Fans’ Scouting Report. In the meantime, click here to cast your ballot. Or click here to cast your ballot. Or click here to cast your ballot.


Ryan Pressly and the Houston Spin Machine

There is a moment during Ryan Pressly’s delivery at which it appears — from certain camera angles and for the briefest of flickering moments — as if he might fall down. He begins his motion by raising himself quickly and powerfully onto his back leg, back slightly hunched and ball only just beginning to separate from glove. As his front leg begins to drop, Pressly moves his center of gravity — and full weight — onto that strong back leg, pitching arm pointing very nearly towards first base and glove out in front on his left hand like a talisman, as if to ward off the batter.

This is the point, in freeze frame, at which it appears ever-so-slightly possible that he might lose his balance and tumble, ass-backwards, off the mound. But then, a split second before the point of no return, the hips fire from their hyper-rotated position, the arm whips toward the batter at 45 degrees, and in the matter of an instant it is Pressly’s chosen victim, rather than the pitcher himself, who begins to look rather foolish.

That strikeout of Jonathan Lucroy, which came in the seventh inning of the Astros’ August 17th encounter with the surging A’s, was Pressly’s 10th for Houston since arriving via trade on July 27th. He has since added eleven more Ks against just one walk, which brings his totals in 16.2 innings pitched in the orange and navy to 23 strikeouts and just one walk. No other reliever has anything approaching that K/BB ratio over that period since Pressly arrived in Houston. Heck, Pressly himself has never really had such a dominant stretch of success. In the 47.2 innings he threw for the Twins before being traded, he struck out 69 and walked 19 — perfectly nice numbers, but nothing close to what he’s done in Texas.

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A Conversation with Oakland Assistant GM Dan Kantrovitz

The small-market Oakland A’s are outperforming expectations — they have a habit of doing this — and, as always, their front office deserves plaudits. Billy Beane famously fronts the group, with David Forst acting as his right-hand man in the general manager’s chair. And then there’s Dan Kantrovitz, whose primary duties are encapsulated with this line in the team’s media guide:

[Kantrovitz] is involved in all aspects of the A’s baseball operations department with a primary focus on overseeing statistical analysis for evaluating and targeting players in the amateur draft, free agent and trade markets.

Currently in his fourth season as Oakland’s assistant GM, Kantrovitz has both the background and the expertise to thrive in his role. The possessor of a master’s degree in statistics from Harvard, he’s served in multiple capacities within professional baseball, including a three-year stint as the director of scouting for the St. Louis Cardinals. This is Kantrovitz’s second go-round with his current club, as he previously worked in the Oakland front office from 2009 to -11.

———

Kantrovitz on the A’s outperforming expectations this season: “With three weeks left, a lot can happen. I wish I had a good answer to explain the team’s performance so far, but I think you’ve got to start with the guys on the field. So many of our players are having great years — and, in some cases, career years. Then you can factor in that David [Forst] and Billy [Beane] and the coaching staff have made some good decisions along the way. Maybe we have had some good fortune on top of it?  Also — and this is maybe hard to quantify — I think the effect of a guy like Jonathan Lucroy on our pitching has been significant.”

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Defense, Contact Quality, and the NL Cy Young

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.

National League Cy Young Contenders
Metric Max Scherzer Jacob deGrom Aaron Nola Patrick Corbin
IP 202.2 188 188.2 179.2
K% 34.4% 31.3% 26.6% 31.3%
BB% 5.8% 5.7% 6.8% 5.9%
HR/9 0.93 0.43 0.62 0.65
BABIP .255 .290 .251 .293
ERA 2.31 1.68 2.29 3.01
FIP 2.66 2.08 2.86 2.38
WAR 6.7 7.3 5.4 6.0
Blue=Leader
Orange=2nd Place

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.

National League Cy Young Race and WAR
Metric Max Scherzer Jacob deGrom Aaron Nola Patrick Corbin
WAR 6.7 7.3 5.4 6.0
RA9/WAR 7.6 7.9 7.3 5.7
BRef 8.7 8.1 9.4 4.4
BPro 7.2 6.6 6.1 5.5
Blue=Leader
Orange=2nd Place

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.

NL Cy Young Race and Team Defense
Metric Max Scherzer Jacob deGrom Aaron Nola Patrick Corbin
UZR -13.2 -27.1 -38.2 14.8
DRS -50 -79 -113 105

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.

NL Cy Young Race, Defense, and Luck
Name wOBA xWOBA Difference
Max Scherzer .245 .256 -.011
Jacob deGrom .240 .257 -.017
Aaron Nola .247 .266 -.019
Patrick Corbin .256 .289 -.033
League .312 .322 -.010

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.

NL Cy Young and xwOBA on Contact
Name wOBA on Contact xwOBA on Contact Difference
Max Scherzer .340 .357 -.017
Jacob deGrom .317 .345 -.028
Aaron Nola .296 .325 -.029
Patrick Corbin .343 .397 -.054
League .364 .379 -.015
SOURCE: Baseball Savant

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.

NL Cy Young and xwOBA on Balls in Play
Name wOBA on BIP xwOBA on BIP Difference
Max Scherzer .256 .310 -.054
Jacob deGrom .287 .325 -.038
Aaron Nola .251 .296 -.045
Patrick Corbin .292 .361 -.069
League .293 .334 -.041
SOURCE: Baseball Savant

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:

NL WAR Based on xwOBA
Name IP xwoba xWAR
Max Scherzer 202.2 .256 7.1
Jacob deGrom 188.0 .257 6.5
Aaron Nola 188.2 .266 6.0
Patrick Corbin 179.2 .289 4.4
Zack Wheeler 167.1 .293 3.9
Clayton Kershaw 137.1 .277 3.9
German Marquez 164.1 .294 3.8
Noah Syndergaard 128.1 .277 3.8
Mike Foltynewicz 157.0 .291 3.8
Ross Stripling 110.1 .262 3.7
Jack Flaherty 132.1 .280 3.7
Jameson Taillon 164.0 .299 3.5
Miles Mikolas 173.2 .304 3.4
Tyler Anderson 153.2 .302 3.2
Alex Wood 144.1 .299 3.1
Walker Buehler 110.2 .279 3.1
Kyle Freeland 176.1 .312 3.0
Nick Pivetta 145.0 .304 2.9
Jon Gray 157.1 .309 2.9
Anibal Sanchez 113.2 .288 2.8
Kyle Hendricks 169.2 .313 2.8
Vince Velasquez 134.0 .302 2.8
Sean Newcomb 149.1 .314 2.4
Wei-Yin Chen 118.1 .305 2.3
Zack Greinke 181.1 .324 2.3
Kenta Maeda 117.0 .306 2.3
Zach Eflin 114.0 .306 2.2
Steven Matz 133.2 .314 2.2
Joe Musgrove 103.1 .301 2.2
Jake Arrieta 154.2 .322 2.1
Jhoulys Chacin 168.0 .327 2.0
Carlos Martinez 108.2 .310 2.0
Jose Urena 151.0 .325 1.9
Tanner Roark 170.1 .329 1.9
Trevor Williams 148.2 .330 1.6
John Gant 96.0 .314 1.6
Derek Holland 152.2 .331 1.6
Stephen Strasburg 107.0 .320 1.5
Robbie Ray 97.1 .317 1.5
Madison Bumgarner 105.2 .326 1.3
Julio Teheran 159.1 .338 1.3
Junior Guerra 135.0 .334 1.2
Gio Gonzalez 151.1 .337 1.2
Joey Lucchesi 110.1 .330 1.2
Luis Castillo 148.1 .338 1.2
Brent Suter 101.1 .329 1.1
Jose Quintana 147.2 .339 1.1
Rich Hill 108.2 .332 1.1
Tyson Ross 143.2 .339 1.1
Luke Weaver 133.1 .338 1.0
Andrew Suarez 139.1 .341 1.0
Zack Godley 159.2 .343 0.9
Mike Montgomery 107.2 .336 0.9
Matt Harvey 138.2 .343 0.8
Chase Anderson 150.1 .346 0.8
Ty Blach 110.0 .345 0.6
Trevor Richards 102.2 .345 0.5
Ivan Nova 146.2 .351 0.5
Eric Lauer 95.2 .346 0.4
Chad Bettis 112.0 .349 0.4
Tyler Mahle 109.0 .348 0.4
Sal Romano 134.2 .354 0.2
Jon Lester 158.0 .360 0.0
Clayton Richard 158.2 .362 -0.2
Dan Straily 122.1 .369 -0.4
Chris Stratton 126.1 .374 -0.7
Tyler Chatwood 103.2 .378 -0.9
Homer Bailey 106.1 .382 -1.0
SOURCE: Baseball Savant
Min. 400 batters faced. Numbers through Saturday.

Dan Szymborski Fangraphs Chat – 9/10/18

12:02
Dan Szymborski: It’s party time!*

12:02
Dan Szymborski: * Does not indicate actual party

12:02
Matt: Wow, Dan. Way to give us a good…5 minutes of queue time.

12:03
Dan Szymborski: I was on the piano and got distracted for time!

12:03
Dan Szymborski: Then I was like HOLY CRAP IT’S GOTTA BE NEAR NOON

12:03
Tony: What do you think about the MLB’s decision to move Cubs/Nationals to Thursday in DC?  Cubs will have scheduled game 30 days in a row and there might be a hurricane affecting the region.  Why not play the game on Oct 1?

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Michael Kopech and the Cold Comfort of Tommy John Trends

Just 14.1 innings: that’s all we’ll get from Michael Kopech at the big-league level until 2020. On Friday afternoon, the White Sox announced that the 22-year-old fireballer has a significant tear in his ulnar collateral ligament and will require Tommy John surgery. Unlike the previous gut punch that baseball fans were dealt just two days earlier — that Shohei Ohtani needs the surgery, as well — there was no dramatic buildup, no injection of platelet-rich plasma after the first report of a UCL sprain, followed by rest and hope backed with worry that it wouldn’t be enough to stave off surgery. On Wednesday, Kopech was pitching. On Friday, he was cooked, though he’ll go about getting a second opinion before the fork, and ultimately the knife, are stuck in him.

Granted, there were signs on Wednesday: Kopech exhibited diminished velocity even before sitting through a 28-minute rain delay. When play resumed, he surrendered three homers and six runs to the Tigers while retiring just one hitter in the fourth inning. The guy who, two years ago while still in the Red Sox organization, was reportedly clocked at 105 mph threw just one first-inning fastball that topped 95, according to the data at Brooks Baseball. His average four-seam fastball velocity for the first inning declined for the third time in a row — in a major-league career that’s four outings long:

Kopech’s Declining Fastball Velocity
Date Opponent 1st Inning Overall
August 21 Twins 97.1 97.1
August 26 Tigers 96.3 95.7
August 31 Red Sox 95.3 95.8
September 5 Tigers 94.0 94.2
SOURCE: Brooks Baseball

Oddly enough, rain affected Kopech’s first and third starts, as well, also in Chicago. His debut ended after two rain-shortened innings and his August 31 start ended after three. He didn’t allow a run in either outing and conceded just one in six innings in his lone road start, in Detroit, on August 26. His tally entering the fateful start was thus one run allowed in 11 innings, with 11 hits, nine strikeouts and one walk, an extension of the second-half strike zone-pounding roll that carried him to the majors in the first place. Because he has learned to dial back his velocity in order to improve his control, he didn’t crack 99 mph on any pitch, let alone 100.

Kopech didn’t sound any alarms about his elbow in Wednesday’s postgame interview, telling reporters, “I missed a lot of spots and got taken advantage of, which is going to happen when I’m not throwing the way I need to. I was pitching like I was throwing 100 [mph], and I was throwing 93-94.”

After the news of his diagnosis, however, Kopech was reported to have experienced trouble getting loose during warmups, believing that he was simply dealing with stiffness:

“If you’re looking for a specific pitch or date, I couldn’t tell you,” Kopech said. “It’s been gradual.”

“I thought it was just a little discomfort. I thought it was something I could throw through,” he said… “[I wanted] to see if there was something I could fix. This isn’t the answer I expected.”

“There were no inklings whatsoever,” said general manager Rick Hahn while delivering the bad news. “Nothing that he reported, nothing in the injury reports, nothing with his delivery, nothing with any of the analytics of his mechanics, nothing until yesterday, when he rightfully shared with us that he didn’t feel quite right getting loose during that start against Detroit.”

It’s been a particularly rough year for the UCLs of top prospects. Going back to the FanGraphs’ top-100 list from February, we’ve lost not only Kopech (No. 20 on that list) and Ohtani (No. 1) but also the Rays’ Brent Honeywell (No. 15), the A’s A.J. Puk (No. 30), and the Reds’ Hunter Greene (No. 42). Per Baseball America’s list, those five were all in the top 30. Depending upon which of those lists you’re consulting, that’s five of the top-18 (FG) or -14 (BA) pitching prospects felled, counting the two-way players (Ohtani, Greene, and the Rays’ as-yet-unharmed Brendan McKay) as pitchers because that’s where the risk is. Whether their UCLs are actually more vulnerable due to double duty is a question for another day.

The more important question from an industry-wide perspective is the extent to which the UCL tears of this cohort of blue-chippers and so many others are connected to the game’s trend towards increasing velocity. (According to Pitch Info’s data, this year’s average four-seam fastball speed of 93.3 mph is down 0.3 mph from the previous year but still 1.1 mph higher than in 2009.) In a 2015 study by Julien Assouline published on the FanGraphs Community blog, Assouline used PITCHf/x data dating back to 2007 and Baseball Info Solutions data dating back to 2002. He found higher rates of Tommy John surgery among major-league pitchers in the 92-95 mph bucket (~27% for both sources) than the 89-92 bucket (20-21%) — and higher still in the 95-plus bucket (31-35%). The trend was generally applicable both to relievers and starters, though regarding the latter group, he found some ambiguities when using BIS data, which had a larger sample size.

Meanwhile, a study conducted by the Department of Orthopaedic Surgery at Henry Ford Hospital, published in the April 2016 Journal of Shoulder and Elbow Surgery (abstract here via PDF), found a connection between higher fastball rates but not necessarily higher velocity. The study, which covered 83 pitchers who had endured the surgery over an eight-year period (a smaller sample than Assouline’s study) and compared them to a control group matched for age, position (starter/reliever), size, innings pitched, and experience, found no differences in pre-surgery pitch velocities for fastballs, curveballs, sliders, or changeups. However, research also revealed that the pitchers who received Tommy John surgery threw significantly more fastballs than the control group, with a 2% increase in risk for UCL injury for every 1% increase in fastballs thrown, and that fastball usage above 48% was “a significant predictor of UCL injury.”

For what it’s worth, the small sample of Kopech’s Pitch Info data for his four starts shows him throwing four-seam fastballs 62.5% of the time. For Ohtani’s 10 starts, he threw four-seam fastballs 46.3% of the time and split-fingered fastballs — which went unmentioned in the study, as did cut fastballs and any distinction between two- and four-seamers — 22.4% of the time (sinkers just 0.1%). For what scant data we have from Honeywell (the 2016 Arizona Fall League and the 2017 Futures Game) and Puk (that Futures Game and one 2017 spring-training outing) via Brooks Baseball, the aggregated rates of fastball usage are well above 50%, but the sample sizes and relief-length outings make it unwise to draw conclusions.

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Elegy for ’18 – Chicago White Sox

Re-signed by the White Sox to eat innings, Miguel Gonzalez pitched only 12 of them in 2018.
(Photo: Keith Allison)

Perhaps the biggest surprise for the White Sox in 2018 was just how long they clung to their mathematical chances of reaching the postseason, surviving weeks longer than either the Royals or Orioles. But as goes the way of all flesh, the Pale Hose became pale dust — along with five other teams in the last week, meaning Dan is going to be busy over the next five days.

The Setup

Unlike with the Orioles, who still had at least a plausible argument coming into the season about playoff volatility, and the Royals, who pretended to have one, nobody was ever under the illusion that the White Sox would play October baseball.

Which is perfectly fine, of course, given that the team only threw in the towel late in 2016. Unfortunately, that was well after acquiring James Shields from the Padres (though this trade has turned out way worse than could be expected on average).

Chicago wasn’t among those clubs, like the Braves and Phillies, poised to return from the depths of their rebuild and compete for a place in the postseason. They’re still very early in that period of sorting out which of their prospects and low-risk pickups will help them in that capacity.

The White Sox entered the 2018 campaign clearly intent on avoiding expensive moves — costly in terms of dollars or prospects — that were unlikely to help make the team better in the future. Giving Miguel Gonzalez a one-year, $4.75 million deal isn’t crazy for a team that’s just trying to cover 162 starts a year. The team believed Welington Castillo was enough of a bargain at two years and $15 million that, even if the team failed to compete in the second year of the deal, they could always flip him for something useful.

Outside of a clever little trade of Jake Peter, a low-ceiling now-or-never utility-type for trade bait in Luis Avilan and Joakim Soria, it was a quiet offseason.

The Projection

ZiPS projected the White Sox to go 68-94, tying with the Tigers and a game behind the Royals. Who says I’m not optimistic about the Royals?

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Sunday Notes: Mike Clevinger is Channeling Trevor Bauer

Mike Clevinger has been channeling Trevor Bauer. Not just in terms of effectiveness — the long-maned righty has a 3.11 ERA and a 9.3 strikeout rate — but also with competitiveness and ingenuity. While the Cleveland Indians teammates aren’t exactly two peas in a pod, Clevinger is certainly being influenced by his mad scientist of a rotation mate.

“He’s a wealth of knowledge, and a really good resource, especially with our new cameras and stuff like that,” Clevinger said of Bauer, who uses 2,000-frames-per-second video to parse the movement and spin of pitches. “We have the same mindsets and goals on the mound. It’s never going to be a completed process. For us, it’s always going to be ‘What’s the next step? What’s the next move to get better? What’s the next level to take it to?’ Throw harder. Make it nastier.”

An 80-MPH slider is one of Clevinger’s nastiest pitches, and while Bauer didn’t play a role in its development, he has broken down its nuts and bolts. Read the rest of this entry »


Chris Sale’s Abridged Cy Young Case

When Chris Sale started for the American League in the 2018 All-Star Game, he was in the midst not only of a fabulous season that was worthy of the honor, but quite probably the best stretch produced by any starter this year. A year after he became the first AL pitcher to notch 300 strikeouts in a season since the turn of the millennium, it appeared that the 29-year-old lefty, an All-Star and Cy Young vote recipient every year since 2012, might finally take home the hardware that had eluded him in the previous six seasons. Alas, shoulder inflammation sent Sale to the disabled list on July 31 and has limited him to just one start since. While he still leads the league in a host of key categories, it seems entirely possible that his missed time could cost him the award he deserves.

Sale missed two starts in his first stint on the DL. Upon returning, he threw five innings of one-hit shutout ball against the Orioles, striking out 12 — his 11th double-digit game of the year — despite throwing just 68 pitches, 19 fewer than any of his other outings this season. Though he has since said that his shoulder feels “like Paul Bunyan’s ox” and recently declared, “There was never any major issue with my shoulder… This wasn’t something that happened on a single pitch or a mechanical issue or anything,” he returned to the DL after that start. He has been throwing bullpen sessions lately, and while the Red Sox have not announced when he will make his next start, manager Alex Cora said this past weekend that “he might become an ‘opener’ for one or two starts” during the team’s September 7-16 homestand. “We’re not worried, he’s in good spirits, he should be fine,” added Cora.

Sale has been more than fine this year, he has been flat out, ass-kicking dominant. In 23 starts totaling 146 innings, he owns the league’s lowest ERA (1.97) and FIP (1.95) among qualifiers, and his numbers look even better when you consider that he calls Fenway Park home. Though he’s made just nine of his 23 starts there this year, his 0.05 edge in ERA over second-ranked Blake Snell becomes a five-point edge via ERA- (44 to 49); meanwhile, his 0.42 edge in FIP over second-ranked Trevor Bauer is a nine-point edge via FIP- (47 to 56). Sale additionally owns the league’s highest pitching WAR, “whether you prefer the FIP-driven variety (6.1), our version based on runs allowed (6.7), or Baseball-Reference’s own metric (6.5). He has the majors’ highest strikeout rate (38.7%) and K-BB% (32.9 points) among starters despite toiling in the DH league.

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