Automatic Outs
Remember Eno Sarris? Yeah, me neither. But I used to co-host the podcast with a guy who liked to talk about infield flyballs or pop-ups and their value for a pitcher. In essence, they are automatic outs. They almost never turn into hits and the rare times they yield a base runner is usually because of an error. Pop-ups are gold for pitchers. After years of thinking that pitchers had zero control once the ball left their hands, we now acknowledge the value of contact management for pitchers. Their arsenal and approach can improve their ability to induce poor, playable contact either on the ground or in the air.
Since co-hosting with that one guy who loved pop-ups, I’ve had a leaderboard saved for Automatic Outs which has a pitcher’s infield flyballs, strikeouts, and total batters faced. I export it to Excel and calculate their AO%: the number of plate appearances ending in an Automatic Out (I know there can be dropped third strikes, guy who is getting ready to comment down below… relax!). I used a sample of 151 pitchers with at least 40 innings, which eliminated all full-time relievers, but a few swingmen snuck in. The average of the group was 25%. Here’s a look at the Top 40, which happened to perfectly include everyone at 28% or higher:
| Name | IFFB% | K% | AO% | |
|---|---|---|---|---|
| 1 | Max Scherzer | 17% | 39% | 43% |
| 2 | Gerrit Cole | 15% | 37% | 41% |
| 3 | Chris Sale | 16% | 34% | 37% |
| 4 | Jacob deGrom | 22% | 33% | 37% |
| 5 | Justin Verlander | 14% | 32% | 36% |
| 6 | James Paxton | 12% | 31% | 34% |
| 7 | Ross Stripling | 19% | 30% | 34% |
| 8 | Caleb Smith | 20% | 28% | 34% |
| 9 | Trevor Bauer | 11% | 31% | 33% |
| 10 | Shohei Ohtani | 11% | 31% | 33% |
| 11 | Patrick Corbin | 9% | 31% | 33% |
| 12 | Charlie Morton | 12% | 31% | 33% |
| 13 | Luis Severino | 8% | 31% | 32% |
| 14 | Mike Foltynewicz | 15% | 29% | 32% |
| 15 | J.A. Happ | 16% | 28% | 32% |
| 16 | Vince Velasquez | 10% | 28% | 31% |
| 17 | Noe Ramirez | 13% | 28% | 31% |
| 18 | Dylan Bundy | 10% | 27% | 30% |
| 19 | Blake Snell | 10% | 28% | 30% |
| 20 | Yu Darvish | 13% | 27% | 30% |
| 21 | Stephen Strasburg | 5% | 29% | 30% |
| 22 | Domingo German | 9% | 28% | 30% |
| 23 | Noah Syndergaard | 8% | 28% | 30% |
| 24 | Garrett Richards | 14% | 27% | 30% |
| 25 | Zack Greinke | 13% | 26% | 29% |
| 26 | Jack Flaherty | 13% | 26% | 29% |
| 27 | Nick Pivetta | 10% | 27% | 29% |
| 28 | Corey Kluber | 11% | 27% | 29% |
| 29 | Jon Gray | 13% | 27% | 29% |
| 30 | Jose Berrios | 12% | 26% | 29% |
| 31 | Kenta Maeda | 4% | 28% | 29% |
| 32 | Seth Lugo | 7% | 27% | 29% |
| 33 | David Price | 18% | 24% | 29% |
| 34 | Clayton Kershaw | 10% | 27% | 29% |
| 35 | Masahiro Tanaka | 14% | 25% | 28% |
| 36 | Walker Buehler | 8% | 27% | 28% |
| 37 | Aaron Nola | 11% | 26% | 28% |
| 38 | Tyler Skaggs | 8% | 26% | 28% |
| 39 | Jake Odorizzi | 14% | 23% | 28% |
| 40 | Eduardo Rodriguez | 4% | 27% | 28% |
There are no real surprises at the top, which makes sense since strikeout rate is doing most of the heavy lifting here, but we do see some of the early standouts adding Automatic Outs via the pop-up with Ross Stripling, Caleb Smith, Mike Foltynewicz and J.A. Happ all in the top 15. In fact, Smith (20%), Stripling (19%), and Happ (16%) are all among the 15 in pop-ups. Folty is 22nd at 15%. They didn’t make the top 40 cut, but Junior Guerra (17%) and Kyle Gibson (18%) are leveraging pop-ups to supplement their decent strikeout rates.
Here’s a look at the top 25 in infield flyball rate:
| Name | IFFB% | |
|---|---|---|
| 1 | Jacob deGrom | 22% |
| 2 | Jeremy Hellickson | 21% |
| 3 | Miguel Castro | 21% |
| 4 | Caleb Smith | 20% |
| 5 | Zack Godley | 19% |
| 6 | Ross Stripling | 19% |
| 7 | David Price | 18% |
| 8 | Kyle Gibson | 18% |
| 9 | Max Scherzer | 17% |
| 10 | Junior Guerra | 17% |
| 11 | Andrew Heaney | 16% |
| 12 | Chris Sale | 16% |
| 13 | J.A. Happ | 16% |
| 14 | Luke Weaver | 16% |
| 15 | Ryan Yarbrough | 16% |
| 16 | Brent Suter | 16% |
| 17 | Jaime Barria | 16% |
| 18 | Gerrit Cole | 15% |
| 19 | Carlos Martinez | 15% |
| 20 | Reynaldo Lopez | 15% |
| 21 | Marco Estrada | 15% |
| 22 | Mike Foltynewicz | 15% |
| 23 | Derek Holland | 14% |
| 24 | Garrett Richards | 14% |
| 25 | Jake Odorizzi | 14% |
Frankly, I’m surprised the Mets infielders even catch the pop-ups that deGrom induces given how often they waste his greatness. Jake Odorizzi charting well on infield flyballs with an improved strikeout rate (+2 pts to 23%) would intrigue more if he didn’t also allow a ton of home runs (1.6 the last 3 yrs). I guess the same goes for Masahiro Tanaka, but he’s on the shelf until his hamstring transplant is done so we’ll worry about that later. Maybe infield flyballs are the key to sporadic success of Reynaldo Lopez. By raw count, only Marco Estrada (19) has more infield flyballs than Lopez (18). Smith and Justin Verlander are tied with 18, as well.
There are 15 guys from the top 40 in AO% who have a 10% or lower infield flyball rate:
| Name | IFFB% | |
|---|---|---|
| 1 | Kenta Maeda | 4% |
| 2 | Eduardo Rodriguez | 4% |
| 3 | Stephen Strasburg | 5% |
| 4 | Seth Lugo | 7% |
| 5 | Luis Severino | 8% |
| 6 | Walker Buehler | 8% |
| 7 | Tyler Skaggs | 8% |
| 8 | Noah Syndergaard | 8% |
| 9 | Patrick Corbin | 9% |
| 10 | Domingo German | 9% |
| 11 | Dylan Bundy | 10% |
| 12 | Blake Snell | 10% |
| 13 | Nick Pivetta | 10% |
| 14 | Vince Velasquez | 10% |
| 15 | Clayton Kershaw | 10% |
As you can see from this list, infield flyballs are not a prerequisite for success. It’s just an added bonus for those who can induce that kind of contact regularly. Given the small samples involved, the guys at the bottom of this list could flip their rate with a couple of good games.
So that’s a quick look Automatic Outs. It’s not some holy grail to uncovering gems, but I like to keep an eye on it throughout the season. When that guy who used to co-host the pod wasn’t talking about sandwiches, he was talkin’ pop-ups and now I notice them whenever I’m watching a start. It’s not a super common event, but they are helpful. Strikeouts are the fantasy lifeblood, but pop-ups are automatics and getting a couple every three starts can enhance a guy’s bottom line, especially the ones that come with runners on and help a pitcher out of a jam.
With the change of pitching locations over the last few years (going from pitching low in the zone to now pitching up), I wonder if the better pitchers just happen to hit their preferred spots better.
Looking at this from 5 or 6 years back would be fascinating.
What’s the actual formula for AO%? Would simply summing IFFB% + K% be more predictive, or less? I dig the general concept but I feel like I’m missing something in the math.
pop-ups + Ks / batters faced… I don’t think adding the percentages would work, but I’m also not a huge math guy so I’m open to being educated. I just went with a basic as heck formula.
That’s the easiest correct way to do it.
Would be nice to get a column with the difference.
IFFB% is a percentage of fly balls. So Popup% is IFFB%*FB%, but even then the denominator is # of batted balls, not batters faced. So you can’t really directly add either of them to K% in any simple way.
Did I flub in just taking the raw number of infield flies + Ks divided by batters faced? About to have a call w/Nick about this, too
I think the way you did it should work, because you used the raw #’s… depending on where you got the raw #’s from?
Thanks for this, always like seeing these numbers but I rarely take the time to run the leaderboards for it. Really digging Caleb Smith showing up here.
BTW I would have guessed that the high popup guys tend to get burned by the longball more but it looks like that doesn’t really bear out here? Looking at the AO% list, all the guys at the top have done a nice job with limiting HR. The notable HR issue guys from that list might be Bundy, Darvish, German, Greinke, Tanaka, Odorizzi, and they all seem to live in that middling 9-14% range. I wonder if there’s something to be said for guys that have ‘neutral’ contact profiles like that – if you aren’t forcing grounders or forcing popups, you’re giving up more homers?
I think what would be interesting is taking 3 metrics: “Automatic Out%” as you put forth here, LOB%, and BABIP and track how that makes pitchers under-or-over perform their xFIP/SIERA compared to ERA.
I just can’t agree that most of that stuff is a “skill” to induce pop-ups (for example) or being “tough with men on base” — I think it’s an avenue of luck and variance and I bet if you looked at pitchers who had high LOB% and high% of automatic outs they would be outperforming their xFIPs and expect regression to the mean.
Any way to layer on outcomes based on catch probability? If a pitcher has Ks + balls with really high catch probability would that add even more to the analysis that a pitcher is generating “weak contact” and luck?
How about comparing this to prior year to see spreads. Is the IFF a repeatable skill or year to year variable.
Nice intro lol. Poor Eno
Would love to see how sticky pop ups are too? I believe K% has roughly a 0.75 r-squared w/ future K% (maybe higher). Anyone seen something similar for pop ups? IFFB% doesn’t seem like the best metric there given the denominator