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The Cubs’ Big Three Is Back

The 2020 Cubs won the NL Central, but they did it in a fairly unusual way, getting minimal contributions from Anthony Rizzo, Kris Bryant, and Javier Báez. In 151 combined games, their trio of stars combined for a mere 1.6 WAR, mostly coming from Rizzo (1.0); back when the Cubs won the World Series in 2016, Bryant alone racked up nearly eight wins. Last season, players like Ian Happ and Willson Contreras were the ones who propelled the team to October baseball, not the old core.

With Báez, Bryant, and Rizzo all set to enter free agency this offseason, the Cubs, as in many a heist movie, hoped to bring back the old crew for one last big score in 2021. But unlike many good yarns about high-stakes thievery, the Cubs largely ignored the supporting cast. The studio had cut the budget, an obvious necessity what with the Cubs playing in a tiny, small-market city, boasting merely the fourth-best attendance in baseball in 2019, and the reality that no owner in baseball history has ever made money. Yu Darvish was off to film a high-budget action movie in San Diego; the only primary member of the 2019 rotation still on the roster in ’21 is Kyle Hendricks.

Without much in the way of new blood, they needed their old core to shine one last time. And luckily for the Cubs, this is largely what has happened. In a similar number of games as the 2020 season, our troika of protagonists has combined for 4.8 WAR, tripling their contribution from the prior season. With the addition of Nolan Arenado, the Cardinals got most of the preseason NL Central ink but the Cubs have been more impressive at the box office. Read the rest of this entry »


Dan Szymborski Fangraphs Chat – 6/10/21

11:59
Avatar Dan Szymborski: dangit

12:00
Avatar Dan Szymborski:

12:00
Avatar Dan Szymborski: There we go, third time’s the charm!

12:00
Jon G: Has Kris Bryant played himself back into $200M+ on the open market?

12:00
Avatar Dan Szymborski: Doing a piece on the Cubs Big Three FA for tomorrow!

12:01
Max: How are you (and zips) feeling about Jared Walsh? Is the sample size and eye test large enough to say “all-star first basemen for many years for the angels?”

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Kevin Gausman Is Giving Batters Splitting Headaches

There are myriad reasons why the San Francisco Giants have been causing trouble in the NL West this season, crashing what was expected to be an exclusive party for the Padres and Dodgers. One of them is the starting rotation, which generally ranks in the top five in baseball whether you go by simple stats like ERA (third) and ERA- (fourth) or peripheral ones like FIP (second). Of the starting pitchers, none stands taller than Kevin Gausman, once a highly a touted Orioles prospect who has spent most of the last decade as a breakout candidate but hadn’t had that one big season. Wel, it appears he’s having it now.

At the top of the major-league leaderboards, there’s a lot of Gausman. Only Jacob deGrom has a better ERA among qualifiers, and that pitcher is having what could be a year for the ages. Gausman’s sixth in WAR, fifth in FIP, seventh in swinging strikes, and 10th in contact rate. And while he’s not likely to finish the year with an ERA anywhere near his current microscopic 1.27, his 2.20 FIP is an easy career-best so far and not explained entirely by the drop in league-wide offense.

So, what has changed for Gausman? The most obvious difference in the stats is the drop in home run total, a particular bugaboo for him at various points in his career. Playing in San Francisco instead of Baltimore has undoubtedly helped alleviate that concern, as has the decline in home runs in 2021, but just as with his overall FIP, it’s not just the environment. ZiPS’ peripheral home run estimator, zHR, sees his “true” home run rate as 2.1% of plate appearances, compared to his actual 1.7%. There’s been an interesting shift here; prior to 2020, ZiPS saw Gausman as the sixth-largest underperformer in terms of home runs allowed, allowing 130 homers where zHR expected to see only 108. Since joining the Giants, they’ve been a perfect match (13 homers vs. 13 zHR). Read the rest of this entry »


The Twins Are Running Out of Time

It wouldn’t be a stretch to say that 2021 hasn’t gone exactly according to the plans of the Minnesota Twins. In the American League Central standings, the club currently ranks dead last, looking up at the hindquarters of even the Detroit Tigers. Only the Orioles and Rangers have worse records in the AL this season, and neither of those teams was expected to be even remotely relevant come October. This isn’t a case of a team starting off 0-3 and the standings looking funny; clubs are passing the one-third mark of the season this week. Like most good teams that are struggling, the problem is a multifaceted one and not easily repaired. But at 12 games behind the White Sox in a weak division, urgent measures are required if the Twins aren’t ready to go 2022 calendar shopping.

Twins diehards would tell you that injuries share a lot of the blame, and they definitely have a point here. If you take a peek at our Injury Report, you’ll find 10 players currently on the Injured List; the team has had 22 total IL stints this season. By contrast, the Royals have had only 10 players on the IL at any point this season, with the Tigers at 12, the White Sox at 13, and Cleveland at a minuscule five. At some point or another this season, the majority of the team’s desired starting lineup has been on the shelf with an injury. Opening Day was the only game where Twins managed to have a starting lineup consisting entirely of the players initially expected to get the majority of the playing time at each position. The Twins have been decimated by injuries, and that is naturally going to have a significant effect on the bottom line.

Case solved, case closed? Hold on there, take those books out of your backpack; we’re not done here. The injuries have affected the team, but they only explain part of the win shortfall. To get a rough idea of this, I went back to what the ZiPS-projected record for each team at this point would be after the games of June 3, then re-did the projection with the preseason projections for players while reflecting the actual distribution of playing time.

AL Central Roster Shortfalls vs. Projected Roster
Team Projected Wins At This Time Projected Wins with Actual Rosters Difference
Chicago White Sox 30.7 29.6 -1.1
Minnesota Twins 31.5 28.1 -3.4
Cleveland 26.3 27.3 1.0
Kansas City Royals 26.7 26.2 -0.5
Detroit Tigers 24.2 25.1 0.9

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Dan Szymborski FanGraphs Chat – 6/3/21

12:04
Avatar Dan Szymborski: OMG ITS CHAT TIME

12:04
Tim Tebow’s Thunder Thighs: In your recent article re: deGrom you stated that, “Shane Bieber‘s 1.63 was the second-best ERA for a qualifying pitcher since Gibson’s in 1968, behind only Dwight Gooden’s 1.53 in 1985.” Why don’t Greg Maddux’s 1.56 in 202IP in 1994 and 1.63 in 209.2IP qualify? Dudeman’s ERA was 1.5959 across 411.2IP in 53 games in those strike-shortened seasons!

12:06
Avatar Dan Szymborski: That was my screwup (which I’ve fixed). My brain was a little fried and I as trying to compare the excellence to full season ERAs to show how high they ranked, but I messed up the talking point and ranked it *with* the full seasons instead of contrasting

12:06
Avatar Dan Szymborski: And didn’t bring 1981, 1994, 1995 back in

12:06
Avatar Dan Szymborski: Everything else should be solid though

12:06
Jefferson: Ke’bryan Hayes is back today! How scared is Zips from a two month long wrist injury?

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Will the New “Year of the Pitcher” Crown a New ERA Champion?

Jacob deGrom‘s already microscopic ERA needs even a stronger microscope to spy it after his outing Monday, a six-inning shutout against the Arizona Diamondbacks that lowered his ERA to 0.71. We’re no longer in April, and we’re not even in May, so this new level of dominance can’t be easily ignored as the product of a small sample. Once performance of this magnitude reaches June intact — and 0.71 is deGrom’s second-highest seasonal ERA after the end of an outing — you have to seriously give at least a thought to the prospect of a pitcher making a run at Bob Gibson’s live-ball ERA record.

We had a chance at this happening last year, thanks to the asteriskesque 2020 season and its 60-game slate, shortened as a consequence of COVID-19. I talked about the possibility going into last season, with ZiPS projecting a one-in-four shot of someone catching Gibson’s 1.12. Nobody did it in the end, but Shane Bieber’s 1.63 was the one of the best ERAs for a qualifying pitcher since Gibson’s in 1968. Bieber and Trevor Bauer, the two pitchers who came closest, fell well short of Gibson but given the relatively high levels of league offense, their efforts were enough to get them the third and fourth spots on the all-time single-season ERA+ ranks.

Catching Gibson in a 60-game season would have been an accomplishment, but not really a full one. Records are naturally set in conditions that benefit players, and Gibson was no exception: 1968 was dubbed the Year of the Pitcher thanks to a league ERA of 2.98, nearly a half-run lower than any season since the spitball was banned. Gibson’s 258 ERA+, which takes into account league offense, still sits atop the leaderboard, but at least it doesn’t utterly wreck the recent field, which consists of Pedro Martinez (243, 1999), Roger Clemens (227, 1997), and Zack Greinke (227, 2015) among others.

But since 2021 is a full 162-game season, catching a 1.12 ERA would feel a lot less like sneaking in through a loophole. A significant drop-off in league offense (to a 4.02 ERA) could be credited for an assist, but it’s not a number that is unfair relative to baseball history. So, can he do it?

deGrom has missed a few starts so far in 2021, with no apparent ill results to his performance, and the Mets have been cautious with his pitch totals; he’s averaged fewer than 70 pitches in his last three starts. That’s beneficial to his chances, as no star pitcher has a long-term ability to keep their ERA that low, even Gibson; just clearing the one-inning-per-team-game requirement optimizes things. deGrom will likely end up with around 30 games started this season, so a good place to begin in gauging his odds is to see if anyone’s come close to 1.12 in a span of 30 games starts, crossing over seasons, since 1920. I’m only listing unique 30-game runs since there is naturally quite a bit of overlap in runs:

Best ERA for Qualifying Pitchers in 30-Game Spans (Since 1920)
Pitcher Year(s) W L ERA IP
Bob Gibson 1967-1968 20 6 0.94 267.0
Jake Arrieta 2015-2016 25 1 1.13 215.0
Roger Clemens 1990-1991 22 4 1.30 228.3
Carl Hubbell 1933-1934 17 8 1.30 215.3
Clayton Kershaw 2015-2016 19 3 1.32 225.3
Dwight Gooden 1985 22 1 1.33 243.3
Pedro Martinez 1999-2000 20 4 1.34 221.0
Luis Tiant 1967-1968 20 6 1.34 228.7
Vida Blue 1970-1971 21 3 1.36 244.7
Jacob deGrom 2018-2019 10 9 1.40 205.0
Dean Chance 1964 17 6 1.40 225.7
John Tudor 1985-1986 23 1 1.41 242.0
J.R. Richard 1979-1980 19 6 1.44 225.7
Bobby Shantz 1951-1952 26 4 1.44 262.3
Max Lanier 1943-1944 17 5 1.47 202.7
SOURCE: Baseball-Reference

Gibson’s best 30-game span was even better than his 1.12 ERA, dipping under one. J.R. Richard’s presence on this list is especially cruel, as his 30-game span ended with the final game of his major league career. Before Richard’s next start, he suffered a stroke caused by a blood clot, and while he attempted a comeback a few years later in the minors, he was no longer the same pitcher.

Nobody catches 1.12 on this list, but many come close enough that the result is at least plausible. Jake Arrieta was only a run from accomplishing the feat. deGrom himself appears on this list, his 30-game span running from April 21, 2018, through April 3, 2019. His 1.40 ERA over 30 starts comes out to an ERA+ of 266 in a higher run environment (by about a tenth of a run) than 2021 so far. A tenth of a run isn’t a lot, but to break a record like this, every advantage helps. Yes, Mets fans, I see that 10-9 record for deGrom over that stretch.

To get an idea of deGrom’s probability of finishing with an ERA of 1.12 or better, I worked with a technique I’ve used in the past, which “simulates” a season using Monte Carlo algorithms and a smoothed model of a pitcher’s starts based on their projections and historical usage. At 189.2 innings (what he has in the bag, plus the 22 starts of 6.3 innings per start in his depth chart projections), he needs to allow 23 or fewer runs or a 1.23 ERA for the rest of the season. At 162 total innings, he’d have to maintain a 1.30 ERA the rest of the way.

deGrom’s no slam-dunk to catch Gibson, but he’s got a fighting chance, with my model estimating a 3.1% chance to beat a 1.12 ERA, or more precisely, Gibson’s 1.122538 (no cheating with rounding here!). That’s about 31-to-1, a little better than getting the exact number in roulette and roughly the probability of a 20-homer hitter getting a round-tripper in any given at-bat. In other words, it’s more likely than not that he falls short of the feat, but it’s definitely possible and firmly in the realm of plausibility.

Jacob deGrom is having the best run of his career and quickly developing a Hall of Fame case based on Koufax-levels of peak performance. Catching Bob Gibson would be a fantastic sentence on a plaque in Cooperstown. Hopefully, the Mets’ offense has the decency to give him more than 10 wins if it should come to pass!


Marcell Ozuna Slides Onto the Injured List

The Braves are short one outfielder for at least six weeks, with Marcell Ozuna placed on the IL after injuring two fingers on his left hand while sliding into third against the Red Sox on Tuesday night. It wasn’t immediately obvious whether Ozuna would miss significant time, with manager Brian Snitker telling the press that the two-time All-Star was going back to Atlanta for tests, but with Wednesday came the news that his stay on the shelf would be a long one.

Ozuna has gotten off to a poor start in 2021, hitting .213/.288/.356 in just over 200 plate appearances, for a 79 wRC+ and -0.1 WAR — a major disappointment for a player coming off an OPS of 1.067 last season. It wouldn’t be the first time he had a bit of a letdown year after what seemed to be a breakout campaign, as was the case with his two seasons in St. Louis, but at least he hit for enough batting average then to be a league-average player in a corner outfield position.

Atlanta hasn’t received much production from Ozuna, but there were several reasons to think that his overall lines would recover. His power numbers are down from past seasons, but he’s partially compensated for that with some of the best plate discipline of his career. ZiPS thought his BABIP of .244 should have actually been more like .298 from his contact data, and Statcast saw similar underperformance, with an xBA of .268 and an xSLG of .471, both numbers more in line with his typical showing. A repeat of 2020’s 179 wRC+ was always unreasonable, but even with this early slump, his Depth Chart-projected wRC+ was still at the 123 it was back in March.

Ozuna suffered a similar injury in 2019, breaking the middle and ring fingers on his right hand while sliding during a pickoff attempt. It probably won’t assuage the worries of Braves fans that he went from an .847 OPS before that injury to a .729 OPS after returning, but I wouldn’t worry much about this limited precedent. I haven’t found much underperformance in hitters returning from broken fingers, and month-to-month play is quite volatile without any injury-based explanations involved. Short of significantly worse news, I wouldn’t be especially concerned about Ozuna after he returns, probably at or near the All-Star break. At least he can take it as consolation that he broke his fingers doing actual baseball things, unlike Zach Plesac, who suffered a broken thumb taking off his shirt.

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Dan Szymborski FanGraphs Chat – 5/27/21

12:03
Avatar Dan Szymborski: IT IS CHAT TIME

12:03
J: More likely to be moved by the deadline: Haniger or Seager?

12:03
Avatar Dan Szymborski: Haniger

12:03
CeddyBReady: So, all it took was giving up on hitting righty to get my stuff together.  Can you comment on how a change in handedness will impact the projection for Ceddy Mullins going forward?  Viva la Switchies!

12:03
Avatar Dan Szymborski: It should have some impact in season-to-season. less so in-season since it’s a simpler model

12:06
Avatar Dan Szymborski: You see switch-hitters with platoon splits give it up from time to time

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Pitcher zStats at the Quarter-Mark

Not everyone is interested in projecting the future, but one common thread in much of modern analytics in this regard is the attempt to describe a volatile thing, such as a play in baseball, using something less volatile, such as an underlying ability. This era arguably began with Voros McCracken’s DIPS research that he released 20 years ago to a wider audience than just us usenet dorks. Voros’ thesis has been modified with new information, and people tend to say (mistakenly) that he was arguing that pitchers had no control over balls in play, but DIPS and BABIP changed how we looked at pitcher/defense interaction more than any peripheral-type of number preceding it.

One of the things I want to try to project is what types of performance lead to the so-called Three True Outcomes (home run, walk, strikeout) rather than just tallying those outcomes. For example, what type of performances lead to strikeouts? I’m not just talking about velocity and stuff, but the batter-pitcher interactions at the plate — things like a pitcher’s contact percentage, which for pitchers with 100 batters faced in consecutive years from 2002 has a similar or greater r^2 to itself (0.53) than either walk rate (0.26) or strikeout rate (0.51) does. Contact rate alone has an r^2 of 0.37 when comparing it to the future strikeout rate.

As it turns out, you can explain actual strikeout rate from this synthetic estimate quite accurately, with an r^2 in the low 0.8 range.

Statcast era data works slightly better; the version of zSO which has that data is at 0.84, and the one that predates Statcast data is at 0.80. Cross-validating using repeated random subsampling (our data is limited, as there’s no “other” MLB to compare it to) yields the same results.

Like the various x measures in Statcast, these numbers shouldn’t be taken as projections in themselves. While zSO projects future strikeout rate slightly more accurately than the actual rate itself does, a mixture of both gets a better r^2 (0.59 for the sample outlined above) than either does on its own. Looking at zSO alone as a useful leading indicator, however, gives us an idea of which players may be outperforming or underperforming their strikeout rates so far this season. All numbers are through Wednesday night.

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The Angels Reinforce Their Bullpen with Hunter Strickland

The Angels made a minor move to bolster their relief corps over the weekend, acquiring veteran reliever Hunter Strickland from the Rays. Strickland has been effective over the first six weeks of the season, with a 1.62 ERA and a 2.83 FIP in 16 innings for Tampa Bay. In return for his services, Los Angeles will give up either cash considerations or a player to be named later.

The Rays love reclamation projects, and Strickland was one of their latest, signing a minor-league deal with the team just before the start of spring training. It wasn’t Strickland’s first time. Once a rotation prospect with the Pirates — he was a Red Sox draftee picked up in the Adam LaRoche trade — he missed the 2011 season due to rotator cuff surgery and was waived by Pittsburgh after a disappointing 2012 season. The Giants moved him to the bullpen, and the big righty with big fastball looked like a future closer candidate. He also came equipped with a big temper, resulting in such incidents and playing the cavalry general for a bullpen charge into the Yasiel PuigMadison Bumgarner incident, yelling at Salvador Perez after an Omar Infante homer in the 2014 World Series, and intentionally hitting Bryce Harper in 2017.

That hot-headedness led to a broken hand that caused him to miss two months in 2018, the unsurprising result of punching a door after blowing a save, and the Giants non-tendered Strickland after that season.

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