The Superlative Kyle Hendricks
You know it’s almost time for baseball season when all of the major projection systems forecast Kyle Hendricks‘ ERA one run per nine innings too high.
As much as this sounds like a knock on those who develop projections, it’s not. What Jared Cross (Steamer), Dan Szymborski (ZiPS), Derek Carty (THE BAT), and the folks at Baseball Prospectus (PECOTA) do is no small feat. If I weren’t too cowardly to even try to create my own projection system, I would be too stupid to design one that is half as effective as theirs. Glass houses and all that.
That said, I am just smart enough to know that projected ERAs ranging from 3.84 to 4.42 for Hendricks, who boasts a career ERA of 3.12 and has never finished a season with an ERA above 3.46 (except that dastardly 3.95 ERA in 2015), are too high. It’s easy to poke holes in the obvious outliers, but projections succeed by describing and then predicting the talents of most pitchers, not the ones whose talents deviate dramatically from expectation. Hendricks is every projection system’s known blind spot.
It’s not just projections that struggle with Hendricks, either. We, the sabermetric community, frequently use ERA estimators as shorthand to characterize a pitcher’s talent level. If you frequent FanGraphs, you’re familiar with Fielding Independent Pitching (FIP), expected FIP (xFIP), and Skill-Interactive ERA (SIERA). By virtue of how they’re constructed, each metric makes assumptions about the skills a pitcher theoretically “owns”:
- FIP: strikeouts, walks, and home runs allowed
- xFIP: strikeouts, walks, and fly balls induced
- SIERA: a complicated combination of strikeouts, walks, net groundballs (groundballs minus fly balls), and their squared terms and interactions with one another
While each estimator features a batted ball component, they focus on trajectory (launch angle), not on authority (exit velocity). This is a fair assumption, frankly. I have illustrated how a pitcher can influence hitter launch angle, operating under the assumption they bear little to no influence over hitter exit velocity. It’s not quite that bleak; certified baseball genius Rob Arthur found that the average pitcher’s effect on a baseball’s exit velocity: roughly five parts hitter, one part pitcher.
Still, that’s not much influence. For many pitchers, over the span of their careers and especially within a single season, that influence appears indistinguishable from random variance or “luck” such that it’s justified for ERA estimators to lack an exit velocity component. Again, generally this is fine — but it’s specifically not for Hendricks who, since he debuted, possesses the ERA with the largest discrepancy between its xFIP and SIERA, and the second-largest discrepancy with its FIP, all among pitchers who have compiled at least 1,000 innings since the start of 2014.
In 2017, Baseball Prospectus‘ Jeff Long, Jonathan Judge, and Harry Pavlidis employed modeling techniques way above my pay grade to investigate Hendricks’ propensity to induce called strikes, swinging strikes, and weak contact. Do all pitchers rely on those things to succeed? Yeah, they do. But do all pitchers rely on those things in precisely the way Hendricks does? No! They absolutely do not.
Weak Contact
In his piece, Arthur states:
[…] the pitcher’s effect is not negligible. While the best batters increase batted ball velocity by as much as 7-8 mph, the best pitchers suppress it by 1.5 mph compared with the average pitcher.
That’s a relief, because using altogether less-rigorous mathematics I came to similar conclusions that conveniently advance my pro-Hendricks agenda. Using Statcast data for the 2017 through 2020 seasons, I calculated the average exit velocity (EV) for every hitter each season. Then, I calculated the average EV for every pitcher-versus-hitter matchup. Afterward, I “backed out” the pitcher impact by calculating each hitter’s average EV absent the EV allowed by that pitcher. For example, 2020 Mike Trout would now sport a different average EV against 2020 Shane Bieber than he would against 2020 Aaron Civale. Let’s call this the “pitcher-neutral average EV.” Lastly, I took an average of the difference between the measured EV of every batted ball event (BBE) and the hitter-specific pitcher-neutral average EV. (Woof, that’s a mouthful.)
Ultimately, this approach makes some attempt of (1) identifying the “true” EV of every opposing hitter a pitcher faces and then (2) determining how much the pitcher makes the opposing hitter deviate from his “true” EV on average. It’s my way of crudely bypassing a complicated model I can’t assemble, let alone interpret, that would require some manner of random and/or fixed effects to control for things that need controlling.
It’s worth acknowledging that this approach imperfectly parses pitcher talent from other effects (hitter skill, luck/variance, etc.). The approach doesn’t explain how it happened — just that it happened, although these results align with findings by Arthur and with my other work, as I’ll discuss in a bit. Having admitted this, know that I’ve approached this analysis with the long-term in mind. Nearly anything can happen to nearly anyone in a single season. Only over time do we see distinct skills-based trends start to emerge, signals emerging from the noise.
It helps that my results pass the smell test. Among active starting pitchers who incurred at least 1,000 BBE since the start of 2017, here are the top 15 in what I’ll call “pitcher influence on EV” and how their ERAs differ from their FIPs, xFIPs, and SIERAs during that span:
| Name | EV Influence | ERA-FIP | ERA-xFIP | ERA-SIERA |
|---|---|---|---|---|
| Noah Syndergaard | -1.9 mph | 0.57 | 0.16 | -0.06 |
| Kyle Hendricks | -1.8 mph | -0.45 | -0.68 | -0.88 |
| Eduardo Rodriguez | -1.7 mph | 0.08 | -0.17 | -0.17 |
| Zack Wheeler | -1.6 mph | 0.18 | -0.18 | -0.37 |
| Charlie Morton | -1.6 mph | 0.07 | -0.12 | -0.27 |
| Aníbal Sánchez | -1.6 mph | -0.07 | -0.13 | -0.05 |
| Jack Flaherty | -1.6 mph | -0.40 | -0.27 | -0.34 |
| Jacob deGrom | -1.5 mph | -0.14 | -0.40 | -0.60 |
| José Berríos | -1.4 mph | -0.07 | -0.40 | -0.32 |
| Mike Minor | -1.3 mph | -0.25 | -0.57 | -0.34 |
| Kenta Maeda | -1.3 mph | 0.18 | 0.21 | 0.18 |
| Hyun Jin Ryu | -1.3 mph | -0.81 | -0.80 | -1.11 |
| Dallas Keuchel | -1.2 mph | -0.56 | -0.46 | -0.81 |
| Corey Kluber | -1.2 mph | -0.09 | -0.15 | -0.28 |
| Mike Clevinger | -1.2 mph | -0.43 | -0.77 | -0.88 |
All things considered, this is a who’s who of high-achieving pitchers. Even the surprising names here hold their own: Sánchez compiled a 3.39 ERA in roughly 300 innings during the 2018 and ’19 seasons, and Minor owns an impressive 3.84 ERA since the start of ’17 despite last year’s sprint-season dud. Maeda, long a pitcher whose parts exceeded their whole, was always good enough but pulled it together last year with a change of scenery. Only Syndergaard defies the trend; his oddly imbalanced ratios (high BABIP, low home run-to-fly ball ratio) probably merit their own investigation.
For funsies, here’s the bottom 15:
| Name | EV Influence | ERA-FIP | ERA-xFIP | ERA-SIERA |
|---|---|---|---|---|
| Robbie Ray | +1.8 mph | -0.33 | 0.12 | 0.03 |
| Shane Bieber | +1.6 mph | 0.26 | 0.30 | 0.11 |
| Sean Manaea | +1.5 mph | -0.22 | -0.46 | -0.54 |
| Germán Márquez | +1.5 mph | 0.37 | 0.60 | 0.37 |
| Chris Archer | +1.3 mph | 0.51 | 0.74 | 0.65 |
| Iván Nova | +1.2 mph | -0.23 | -0.01 | -0.24 |
| Jordan Zimmermann | +1.2 mph | 0.89 | 0.94 | 1.04 |
| Zack Godley | +1.2 mph | 0.57 | 0.60 | 0.44 |
| Homer Bailey | +1.1 mph | 0.71 | 0.81 | 0.63 |
| Patrick Corbin | +1.0 mph | 0.17 | 0.16 | -0.12 |
| Madison Bumgarner | +1.0 mph | -0.40 | -0.57 | -0.45 |
| Derek Holland | +1.0 mph | -0.13 | 0.32 | 0.42 |
| Nick Pivetta | +0.9 mph | 0.79 | 1.37 | 1.30 |
| Alex Cobb | +0.9 mph | -0.29 | 0.11 | -0.13 |
| Jose Quintana | +0.9 mph | 0.33 | 0.27 | 0.08 |
Active pitchers only (must have played in 2020)
Perennial under-performers Ray, Márquez, Archer, and Pivetta join half a dozen other pitchers with one foot out the majors’ door, several of whom I omitted because they did not pitch in 2020 but were signed to minor league contracts or something like that. Bumgarner continues to defy expectation, but his peripherals have backslid tremendously since his dirt bike accident. The reigning American League Cy Young winner might also seem like an odd inclusion, but Bieber’s approach prior to 2020 left him more vulnerable to hard contact than 2019’s 3.28 ERA let on (Statcast suggests he outperformed his ERA by 59 points).
I’m getting distracted, though. The beneficial (albeit daunting) part of working with Statcast data is that we can conduct this same analysis at the pitch-specific level. Hendricks grades out handsomely in aggregate, but how does this analysis look for individual pitches? Which pitchers’ pitches exert the most influence over hitter EV?
I fully expected Hendricks to show up on this table, but I did not expect him to utterly dominate like so:
| Name | Pitch Type | BBE | EV Influence |
|---|---|---|---|
| Kyle Hendricks | CH | 680 | -5.2 mph |
| Jacob deGrom | SL | 512 | -3.6 mph |
| Jhoulys Chacín | SL | 520 | -3.4 mph |
| Masahiro Tanaka | SL | 508 | -1.9 mph |
| Jon Lester | FC | 595 | -1.7 mph |
| José Berríos | SI | 567 | -1.6 mph |
| Kyle Freeland | FF | 556 | -1.0 mph |
| Lance Lynn | SI | 661 | -0.8 mph |
| Chris Archer | SL | 588 | -0.8 mph |
| Martin Perez | SI | 573 | -0.7 mph |
| Zack Wheeler | FF | 506 | -0.6 mph |
| Charlie Morton | SI | 517 | -0.6 mph |
| Clayton Kershaw | SL | 599 | -0.6 mph |
| Masahiro Tanaka | FS | 546 | -0.4 mph |
| Kyle Hendricks | SI | 771 | -0.3 mph |
| Jacob deGrom | FF | 568 | -0.2 mph |
| Clayton Kershaw | FF | 659 | -0.1 mph |
| Trevor Williams | FF | 733 | -0.1 mph |
Per my crude research, this amounts to a comprehensive list of pitches (1) thrown by starting pitchers; (2) that have incurred at least 500 BBE since the start of 2017; and (3) that exhibit negative influence upon a hitter’s EV. Keep in mind this table is biased in favor of both durable pitchers and oft-used pitches. Fragile arms and overstocked arsenals might be unfairly excluded. But there’s Hendricks’ changeup, standing head-and-shoulders above the field.
In another brilliant article (although I may be biased by its subject and content) aptly titled “Location, location, location: Kyle Hendricks is winning with control,” Arthur further elucidates how Hendricks suppresses hitter contact quality: with pinpoint command — and also below-average velocity. Blissfully unaware of Arthur’s work prior to conducting my own, I came to similar conclusions (not coincidentally using Hendricks as my inspiration), finding that pitch location (specifically) and lower velocity (generally) explains a significant chunk of the variance in weighted on-base average on contact (wOBAcon). Hendricks grades out exceptionally well there, and better yet with controls for pitch velocity.
It’s fitting, then, that not only does this short list feature two of Hendricks’ pitches, with one of them leading the pack outright, but also that an expanded view of this table, with the qualification threshold relaxed from 500 BBE to 250 BBE, features off-speed pitches almost exclusively:
| Name | Pitch Type | BBE | EV Influence |
|---|---|---|---|
| Dallas Keuchel | CH | 270 | -6.0 mph |
| Mike Clevinger | SL | 260 | -6.0 mph |
| Eduardo Rodriguez | CH | 365 | -5.5 mph |
| Jack Flaherty | SL | 266 | -5.4 mph |
| Charlie Morton | CU | 388 | -5.2 mph |
| Kyle Hendricks | CH | 680 | -5.2 mph |
| Corey Kluber | CU | 252 | -5.2 mph |
| Luis Castillo | CH | 383 | -5.2 mph |
| Chase Anderson | CH | 287 | -5.1 mph |
Moreover, the bottom of the list, which I originally truncated to save space, is populated exclusively with fastballs:
| Name | Pitch Type | BBE | EV Influence |
|---|---|---|---|
| Iván Nova | FF | 397 | +3.7 mph |
| Cole Hamels | FF | 383 | +3.8 mph |
| Daniel Norris | FF | 424 | +3.8 mph |
| Carlos Carrasco | FF | 490 | +3.8 mph |
| Jon Lester | FF | 615 | +3.9 mph |
| Aníbal Sánchez | FF | 320 | +4.1 mph |
| Masahiro Tanaka | FF | 297 | +4.2 mph |
| Matt Moore | FF | 393 | +4.2 mph |
| Chris Archer | FF | 446 | +5.1 mph |
Chris Archer? You mean the Chris Archer who once looked like an ace but broke in 2016, suddenly allowing uncommonly high BABIPs and ratios of home runs to fly balls? The one who sits at the wrong end of the ERA-minus-FIP leaderboard that Hendricks leads? That Chris Archer?
It’s one thing to suppress exit velocity and to do so skillfully, reliably. It’s another thing to do it routinely, deliberately. Hendricks not only silences opposing hitters (to the furthest possible extent that a hitter can be silenced) with his changeup. Per the “Pitch Type EV Influence Leaders (2017-20)” table above, he also induces contact via his changeups more often than any other above-average EV-influence pitch except for Trevor Williams’ four-seamer (which is nearly average in its influence) and Hendricks’ own sinker/two-seamer.
In other, less-verbose words, Hendricks zigs while everyone else zags: whereas most pitchers seek to avoid contact all together (adhering to the fielding-independent theories that underpin the Big Three ERA estimators), Hendricks practically welcomes it.
You can’t force a hitter to swing, though, so it makes one wonder exactly how, among 209 individual pitches thrown at least 2,000 times since the start of 2017, Hendricks’ changeup leads all pitches in swing rate (Swing%). Fortunately, hitter swing patterns are fairly predictable by ball-strike count on average (I realize hitters exhibit varying degrees of aggression/passivity overall), especially in those where the pitcher is ahead — a situation that, as Arthur notes and Statcast confirms, Hendricks finds himself frequently. (Per my numbers, Hendricks ranks in the 93rd percentile of “true” first-strike rate, which ignores balls in play, focusing only on pitches that get to 1-0 and 0-1 counts.)
What’s more, among that same sample of pitches, only three are thrown in the “heart” of the strike zone (defined by Tom Tango and his team in their swing/take work) less often than Hendricks’ changeup. Put two and two together, and Hendricks gets into counts where hitters are more likely to swing and induces weak contact by commanding his low-velocity changeup everywhere but the heart where hitters thrive, thereby suppressing hitters’ EVs by not only an elite magnitude but also at an elite frequency.
Called Strikes
Incidentally, coercing an inordinate number of swings comes with the territory — namely, not stealing many called strikes. Hendricks’ changeup doesn’t! In fact, it features the second-lowest called strike rate since the start of 2017, behind only Masahiro Tanaka’s splitter.
What’s odd in this context (albeit not generally, given what we know about Hendricks and how he thrives) is that Hendricks is the king of called strikes. Among 98 pitchers who have thrown at least 6,000 pitches since the start of 2017, no one boasts a higher called strike rate (20.3%). Clearly, those called strikes don’t come from his changeup, so they must come from somewhere else.
Enter Hendricks’ two fastballs. Unlike his changeup, he weaponizes them in counts with low swing probabilities, resulting in absurdly low swing rates (fifth percentile for his four-seamer; for his sinker, 10th percentile) that, of course, produce elite called strike rates (95th and 99th percentile, respectively). It’s not just hitters’ tendencies, though. Hendricks commands each with painstaking precision. Both fastballs rank in the 98th percentile with regard to how often each finds the Statcast-defined “shadow” of the zone (aka the space surrounding the heart and encompassing the areas just inside and outside the edges of the zone). No one lives in the shadows more than Hendricks (45.6%), which, if nothing else, sounds cool as hell:
Which is all a long way of saying: Yes, Hendricks is a called-strike machine. Yes, he’s a master of inducing weak contact. Yes, his command is virtually unparalleled among his contemporaries. But it’s the diametrically opposed use of (and uses for) his pitches — a changeup that is built exclusively for swings and suppresses hard contact; two fastballs that move in dramatically different ways that steal strikes and yield advantageous counts — that get me. Every single feature of his arsenal is the best, or close to it, at what it is supposed to accomplish.
The way Hendricks dispatches his pitches, one might go so far as to call it predictable. Given how extreme everything Hendricks does is, I think it’s a fair characterization! Yet his location-based aptitude (an under-appreciated skill) combined with below average velocity (a characteristic too often perceived as a flaw) makes it such that a hitter who rightly anticipating a fastball in an early count or a changeup in a late count is tasked with squaring up a tough pitch regardless and remains off-balance.
Per Long et al. (it was Long who forwarded me this article after I wrote about vertical approach angle and pitch location recently), Hendricks also tunnels his pitches like a son-of-a-gun. And we’re learning more and more about pitch movement, spin mirroring, and how everything interacts via Statcast’s new spin direction leaderboard alongside more complicated, physics-related topics like Magnus force and seam-shifted wake. I’m eager to learn more about how the unconventional Hendricks defies every conventional expectation designed for the conventional pitcher, which he surely is not.
In the meantime, I can revel in Hendricks’ superlatives — how he not only is the best at earning called strikes or finding the shadows of the strike zone (while, at the same time, avoiding the heart of the zone) or suppressing hitter contact quality but also achieves those superlative outcomes with superlative pitches that, individually, are the best at what they do. Long et al. invoke Greg Maddux’s name, although they note Hendricks is reluctant to accept such praise. I am but one man/idiot, but I think he should at least consider it!
Unfortunately, while I celebrate Hendricks and his status as baseball’s contact management unicorn, I also lament how his value is defined and perceived. I’m a company man, but FanGraphs’ wins above replacement (WAR), just like FIP which underpins it, inadequately captures Hendricks’ value.
Compiling 20.8 WAR in 174 starts (roughly 3.6 WAR per 30 starts) is nothing to sneeze at — this may surprise you, but Hendricks ranks 15th in WAR since his debut. Yet a version of WAR that accepts his uncommonly good ERA as skills-based, rather than dismissing it through FIP as primarily luck-based, might net Hendricks another five or six wins, based on my back-of-the-napkin math. Being revisionist history’s ninth-best pitcher of his era won’t earn Hendricks a trip to the Hall of Fame, but having skills that could age very, very well over the next decade (exceptional command aided by already-below-average velocity) might very well bring him into the conversation.
To wit: Maddux sported an indexed ERA, or ERA- (which adjusts ERA annually for run-scoring context, where lower is better), of 86 through his first seven major league seasons and finished his career with a 76 ERA-. Hendricks currently sports a 76 ERA-. Hey, pal, it’s just what the numbers say.
This is not uncharted territory; much smarter people than me have explored the concept of contact management generally and as it pertains to Hendricks specifically. Let this serve as testament to Hendricks’ stature as one of the game’s best pitchers. He doesn’t pile up strikeouts. He doesn’t flash game-changing velocity or wipeout stuff. He’s never going to be GIF’ed by Rob Friedman.1 But he succeeds despite it all using an approach that weaponizes certain pitches in very specific ways to produce elite, practically exaggerated outcomes — an approach that, very probably, only he (and another very famous pitcher, his name escapes me) can capably pull off.
Footnotes
1 I know Friedman has GIF’ed Hendricks before. To bring everything full circle, here’s a delicious GIF of that shadowy changeup:
Kyle Hendricks, Wicked Changeup…and is impressed with his own filth. pic.twitter.com/sXuMe126Dj
— Rob Friedman (@PitchingNinja) August 12, 2020
This piece originally said Hendricks’ highest single-season ERA was 3.46 in 2019. It was actually 3.95 in 2015.

Good stuff. Have you ever checked out the pCRA ERA estimator? It uses Barrel rate and has a higher year-to-year correlation (min 100 IP) than SIERA or any of the others.
https://sixmanrotation.com/pcra/cra-update-pcra-the-best-era-estimator-of-the-statcast-era
Connor is extremely talented and I admire him very much! He had a 3.40 CRA and 3.66 pCRA last year — closer, but still not quite. I think that discrepancy relates strongly to how not all barrels are created equal and how Hendricks limits the most-productive of barrels, which I call blasts in my post on the subject here here: https://www.fangraphs.com/fantasy/blasts-a-subset-of-barrels/
This is fantastic stuff.
I have never, ever wanted to click on an article more than one titled: “The Superlative Kyle Hendricks: So how does he do it?” This question has been burning in my mind for about two years now.
So, I guess the general answer is that Kyle Hendricks is about as optimized as a pitcher can be. What a master. I want to see if I can catch some more Cubs games this year to see for myself.
Hendricks is great. Ya, he symbolizes a true pitcher, not that the flamethrowers aren’t fun.
One of the greatest pure pitchers of all time.
I always love reading about the one and only Kyle Hendricks!
Shot in the dark here to fellow readers of articles about Kyle Hendricks, but I’m in a deep (20-team) auction keeper league that is looking for an owner to take over a team. It’s a long established, active, and competitive league. And one in which Kyle Hendricks is up for bidding this offseason, so he could be yours! If you’re interested, send an email to bpqaac at gmail
Great article. Gets off to a rough start though – if the projection systems were off on his ERA by a run per inning they’d really have a problem…
Ah, thanks for catching that!
Man, some days I just love Fangraphs. Great article, thanks.
Only some days? : -)
“Only Syndergaard defies the trend;”
One thing to consider about him (and Ryu): in his career, Syndergaard has allowed 139 stolen bases in 716 IP (1 SB allowed per 5 innings) whereas Ryu has allowed all of 7 in 807.1 IP (1 SB allowed per 115 innings, the lowest rate among pitchers to debut in last 50 yrs).
Interesting point!
It’s kind of amazing to me how low Syndergaard’s career ERA is despite the horrible Mets defense that’s always played behind him how many stolen bases he allows
Psst, FanGraphs has RA9-WAR in the Value table. It’s 26.7 for Hendricks.
today i learned what RA9-WAR was. why do they even let me write here
but yes this is basically exactly what i intended to quote, thank you brad!!
I’d be embarrassed to admit that if I were you haha. Interesting article though! The projection systems may also be more bearish on him because his margin of error is much smaller than for a pitcher that throws harder. Take Jered Weaver, for example. Similar statline to Hendricks for several years but when the magic was gone, he was done. You go from wizardry to batting practice very quickly. Projection systems account for this kind of thing.
Not embarrassed! And agreed but also disagreed on Weaver; he was a “fly ball” pitcher, aka thrived on pop-ups suppressing his BABIP, among other quirks. That’s not really how Hendricks succeeds from a contact management standpoint. Would’ve loved to see Statcast-caliber data on Weaver during his prime, though.
That’s true! I was mainly comparing them as low-velo but very good results pitchers.
Seems like those can be some of the guys who persist the longest, like Bartolo or Jamie Moyer.
Bartolo was a high-velo pitcher who learned how to be a below-average velo pitcher. Moyer is a good one but maybe survivorship bias also.
I don’t understand why that would make Bartolo a bad example- you said he learned how to be a below-average velo pitcher; clearly, knowing how to do that is a skill, and Hendricks has that skill. It doesn’t matter that he’s always had it, whereas Bartolo figured it out after he lost velo. Having the skill enabled Bartolo and Moyer to pitch a long time, and could do the same for Hendricks.
When Bart began his second baseball life after his arm was regenerated with stem cell therapy, the fat old man threw 95 but had the mind of an old veteran. I saw the game he pitched in terrible weather conditions against the Sox in Fenway when he threw scoreless baseball with 100% fastballs two and four seam, every corner of the plate, all strikes.
I try to never miss a Hendricks game. He’s a wizard. Awesome article.
“never finished a season with an ERA above 3.46”
His second season he had an ERA of 3.95… the one year he outperformed FIP hahaha.
honestly i’ve looked at hendricks’ page so many times i think my mind now rewrites that 3 as a 2. DANG IT
Well no wonder those ERAs look so sterling!! 😀
This is great! What role do you think the Cubs’ infield plays in this? You could make an argument they’ve had the best infield defense over the last several years, and other ERA-FIP overperformers (Ryu, Clevinger, Flaherty) also have good-to-great infields behind them.
I imagine infield defense is quite helpful, but I also am reluctant to dismiss batted ball data that is demonstrably better for these pitchers (Hendricks and those three are all top EV influencers). What’s getting my brain churning a little now (and maybe this is a stupid question because I pay barely any attention to defensive metrics) is if Hendricks et al. and their EV influence actually helps their infielders grade out slightly better by those metrics, at least in the 30-or-whatever games that they pitch.
I think that the defensive metrics on Savant account for that. They look at EV, etc to estimate how difficult a ball is to field.
Man, maybe the next one should be “How does Hyun Jin Ryu” do it? His splits (ERA – FIP), (ERA – xFIP), and (ERA – SIERA) are even wider than Hendricks’ are, on all three metrics!
He also does a superb job of suppressing contact quality, but, right, I’d love to dig in a little more on exactly how it manifests à la this post.
Appreciate that you read and reply to the comments! My next insightful comment will be my first.
(I’ve been carefully formulating it for 40+ years now.)
(It will probably be in regards to Russ Branyan and Richie Sexson, and how my theory is that they’re really the same guy.)
(Or three dogs in an overcoat.)
Wait, you think that Russ Branyan and Richie Sexson are the same guy, too? I thought it was just me!
Make that three of us. They both came up with Cleveland, and back when I played in a fantasy league, I became famous for drafting “Richie Branyan” as one of my minor leaguers.
They sure did both fit that “12 feet tall, can hit a ball three miles, and will strike out 40% of the time” archetype.
Fantastic article. It explains why Hendricks is a true artist out on the field . . . his ability to get ahead, keep hitters guessing with off-speed, and avoid the heart-of-the-plate are time-tested pitching principles, but his use of tunneling seems like another key ingredient to his success. I believe Maddux had much greater velo than Hendricks in the first half of his career . . .
I’ve long been fascinated by FIP/ERA differences that are sustained over a whole career. Julio Teheran is another recent enigma. But the 50bps difference between Hendrick’s FIP and ERA would put him up there with Glavine and Buehrle for criminally underrated by Fangraphs WAR.
Glavine and Buehrle definitely helped themselves with their ability to handle the running game. That doesn’t make up all of the difference in their ERA and FIP but it definitely played a big role. I think that helped Teheran also. Always among the leaders in pickoffs. Incredible move for a right-hander.
Teheran saved about 8 runs on stolen bases in his career, but more importantly saved about 20 runs by his defense on balls in play (per DRS). These factors alone drop his ERA by 0.20 vs an average pitcher.
Right. For some of them, it’s because they induce a lot of ground balls (Dallas Keuchel is the poster child for this). For others, I suspect it’s because they had Andruw Jones catching fly balls behind them. Glavine was a little bit of both (seriously, take a look at what Glavine did between 1997 and 2002; he beat his FIP by a little bit before and after but what he did in that stretch is unbelievable).
For a long time, I suspected that the Cubs’ pitchers were beating their FIPs regularly by rolling out Addison Russell and Javier Baez in the same infield, but Hendricks has been a cut above everyone else, beyond just the inducing ground balls aspect.
Um, I think if the projection system forecast his ERA forecast Kyle Hendricks‘ ERA one run *per inning* too high, you might say it’s useless!
Ha, yes, per inning. The ol’ one-run-too-many-over-the-course-of-200-innings complaint… I’d really be picking nits!
Re-read this now and misinterpreted your comment, not realizing that I made that mistake in-text… so please ignore my previous comment, which makes absolutely zero sense, and thanks for catching that error!
Just came back to this article to see who wrote it. I then clicked Alex’s name and get taken to a page that lists all of his articles. Would be nice to see a page with bio’s and credentials or job history or whatever of all of the FanGraph authors somewhere.
hopefully the signature/author bio box at the bottom of each article helps address at least some of that!
I did see that after the fact. It kind of gets lost down there.
Alex is a beast, and his articles are true masterclasses in curiosity and applied thoughtfulness. Every time I read one I feel like not only do I learn something interesting and novel about baseball, but in his approach and method I get a renewed faith in the future of the human race. Like the NASA scientists pushing the space program forward over the past 60 years, but for fantasy baseball. That may read like hyperbole, but I really do mean it. Keep up the great work!
Good lord. This was amazing.
Great article. Hendricks seems unique among right-handers, certainly, but he seems to have southpaw compatriots, Ryu and Keuchel specifically. Do they operate & succeed the same way he does?
I’d say Ryu is more similar to Hendricks than Keuchel. Keuchel is similar, but he relies so heavily on just living down, down, down in the zone that most of his contact management comes in the form of inflicting shallower launch angles rather than suppressing EV (although, again, he does that, too).
Since Kyle Hendricks is my favorite pitcher this article is a home run, pun intended. It is such a pleasure to watch him carve up major league lineups with stuff that is constantly and consistently pooh-poohed by the metric-biased community. The highlight of last year’s awful season occurred on day 1 when Hendricks tossed a beautiful 3-hit, 0 BB, CG against the Brewers. When Ross came out in the 9th I was screaming at the TV not to take him out and Ross used his brain and let this master complete a masterpiece on a few very weak grounders.
was a hell of a lot better decision than Game 7.
This fantastic article about my favorite pitcher convinced me to buy a subscription. Great stuff!
This article recognizes and supports one of my pet peeves. I want to focus on the paragraph about WAR. The article defines my argument perfectly. “A version of WAR that accepts his uncommonly good ERA as skills-based, rather than dismissing it through FIP as primarily luck-based might net Hendricks another five or six wins”. To me it is height of absurdity that a pitcher, whose performance has been as good as Hendricks from the first time he climbed the bump in the major leagues, is penalized because he uses a different set of tools to do his job. That is more than enough reason to doubt the system that is doing the evaluating. I have said many times on this site that performance is ignored if the player who is excelling doesn’t fit the template. Nobody exemplifies that any more than Kyle Hendricks.
That’s always been something that didn’t sit right with me about FIP based WAR. I understand the concept of FIP and why it’s useful but at the end of the day preventing runs is what matters. Both (RA-9 WAR and FIP WAR) have their place but they don’t always tell the exact same story.
I agree with this, but would add I don’t think they’re supposed to tell the same story. One actually tells the value the player had, just like every other stat. The other is no more than a projection tool.
We don’t use xBABIP to assign a value to batting average. We don’t use xAVG in hitter WAR calculations. We don’t take away hits that were high probability outs but fell in against low range defenders. We just use the recorded average. Same with xSLG or any other x offensive stat.
If hitters get credit for what actually happened instead of what probably would’ve happened in a neutral environment, pitchers absolutely need to as well.
There really is no argument for using fWAR for historical pitcher valuation I’ve heard that even has a leg to stand on. FG needs to stop using it, it’s one area where they’re trying to be too clever for their own good and it’s resulting in something inaccurate.
I think of him as almost the exception that proves the rule. If it accounts for 98% of the sample population, that’s pretty damn good. The remaining 2% provide fuel for refinement of the system and fun articles to read.
Yet another thing Hendricks is awesome at thanks to his unique combination of traits: efficiency. He’s averaged 3.78 pitches per batter faced so far throughout his awesome career. If injuries leave him alone he’s in a good position to remain one of the rare starters who pitches 200ish innings year in, year out for a while. Hopefully baseball never loses that kind of pitcher.
This kind of article, this level and quality of analysis, is why I love FanGraphs so damn much. Thank you for expanding my mind today, Alex! I have always been heartily entertained by Kyle Hendricks, because I view him as kind of the golden median of pitching in today’s game. He does all of the things baseball pitching “traditionalists” love to harp on, like relying on command over stuff, changing speeds and eye levels, being aggressive in the strike zone, etc. Yet his pitch mix and approach are also underpinned by solid analytical concepts like pitch tunneling, prioritizing vertical movement, and now I can add everything you’ve discussed here to that list. He really is everyone’s platonic ideal of a pitcher in one way or another, and now it’ll be even more of a joy to watch him pitch with this new understanding of how exactly he does it.
12/10 would read again
To me it seems plenty reasonable that a pitcher from Dartmouth is smart enough to figure out a way to consistently beat ERA estimators. As a matter of fact, it almost seems likely. Another interesting Ivy League pitcher in his own way Brent Suter, also seems to be very good at getting buy with well below average stuff. He actually shows up on sw strk leaderboards basically out of the blue last season as well. I’d imagine someone who is smarter is also going to be better at implementing things that coaches say as well, for obvious reasons.
Great read. So good, in fact, I’m going to go read it again!
As much as I always look at FIP and similar stats, I’d love for a next generation stat that properly gives credit to the FIP busters, those who do it consistently. It’s a skill. not a fluke.
This is probably my favorite fangraphs article in a long time.
Here is a very big reason why Maeda, despite being an elite contact manager, hasn’t overperformed his ERA estimators.
*No runners: .261 wOBA allowed (5th among 139 starters with at least 1000 PA against, 2017-20)
*Runner on base: .323 wOBA allowed (71st among the same population)
thank you alex, great article! my favorite pitchers are command-types too :^)
I’ve watched almost every start Hendricks has made. That gif is one if the few I’ve seen him smile….
The way he stalks off the mound always reminds me of Jake Gyllanhall in Nightcrawler. Living in the shadows.
Great stuff, Alex! Hendricks is one of my absolute favorite pitchers to watch. Would love to see you look at Ryu or Maeda in this way as well.
(Lady Gaga voice) “In the shadow, the sha-do-o-oooow”
Holy cow this was a great article!