Jose Quintana’s Lost Home-Run Suppression

After the White Sox traded Chris Sale, rumors flew that Jose Quintana would be on the move soon, as well. Quintana has been quite good for Chicago, but the club had no designs on contending in 2017. With four more years of control at under $40 million, Quintana was a valuable trade chip. The White Sox were right to expect a return for Quintana that rivaled their hauls for Chris Sale and Adam Eaton. Those demands weren’t met, however, and the White Sox entered the season with Quintana as their ace.

Looking at Quintana’s line so far this season — he has a 5.60 ERA and 4.28 FIP — it’s hard to imagine that his current trade value remains as high as it was this offseason. The main problem has been home runs. Let’s take a closer look.

First, some good news: Quintana has actually increased his strikeout rate relative to previous seasons. That mark stands at to 23.0% currently, higher than his career average of 20.1% and last year’s 21.6%. His walks have gone up, too, though: up to 8.6% from his career average and last year’s average around 6%. A 40% increase in walks is definitely something to note, but more alarming is Quintana’s home-run rate. Here are Quintana’s relevant home-run statistics during his career:

Jose Quintana and Home Runs
Year HR/9 HR/FB
2012 0.92 10.5%
2013 1.04 10.2%
2014 0.45 5.1%
2015 0.70 8.6%
2016 0.95 9.5%
2017 1.40 13.0%
Career 0.84 9.1%

Quintana has been pitching in a tough pitcher’s park for the duration of his career, so the regularity with which he’s suppressed home runs would appear to be a bit of a skill at this point. That said, there’s definitely been a departure this season from his established levels. His walks seem to indicate he’s not quite the pitcher he has been, but a lot of other indicators check out. His velocity seems decent enough. He’s getting first-pitch strikes. He’s pitching in the zone roughly the same amount and swings in and out of the zone don’t seem overly alarming. The home runs are only a big deal to the extent they have a tangible effect on Quintana’s stat line.

If Quintana was repeating last year’s 0.95 HR/9 and the 9.5% HR/FB rate, he would have given up seven homers instead of 10 this season. Quintana’s FIP on the season is 4.28. If we take away three homers, that FIP moves down 3.68. Moreover, Quintana’s ERA and FIP have been pretty close to each other over the course of his career. Quintana’s FIP is much lower than his ERA this season, but a lot of that is a function of a 65% left-on-base rate. For Quintana’s career, his 74% left-on-base rate is more in the vicinity of league average (73%). A league-average LOB% would result in his FIP lining up with this ERA. So if we take the three homers away and give Quintana an ERA right around his FIP, that would render him basically the same pitcher he’s been in previous seasons. Should we take those homers away, though?

We’re looking at two months of the season, and total of 10 home runs allowed instead of seven seems pretty inconsequential — especially when attempting to evaluate a pitcher with a long track record of success. Let’s take a closer look at those home runs through the lens of Statcast. Baseball Savant offers a tool with which it’s possible, by looking at a combination of exit velocity and launch angle, to determine the expected outcomes for batted balls. The table below features all 10 homers Quintana has given up this season and how often those balls become homers or outs.

You Aren't a FanGraphs Member
It looks like you aren't yet a FanGraphs Member (or aren't logged in). We aren't mad, just disappointed.
We get it. You want to read this article. But before we let you get back to it, we'd like to point out a few of the good reasons why you should become a Member.
1. Ad Free viewing! We won't bug you with this ad, or any other.
2. Unlimited articles! Non-Members only get to read 10 free articles a month. Members never get cut off.
3. Dark mode and Classic mode!
4. Custom player page dashboards! Choose the player cards you want, in the order you want them.
5. One-click data exports! Export our projections and leaderboards for your personal projects.
6. Remove the photos on the home page! (Honestly, this doesn't sound so great to us, but some people wanted it, and we like to give our Members what they want.)
7. Even more Steamer projections! We have handedness, percentile, and context neutral projections available for Members only.
8. Get FanGraphs Walk-Off, a customized year end review! Find out exactly how you used FanGraphs this year, and how that compares to other Members. Don't be a victim of FOMO.
9. A weekly mailbag column, exclusively for Members.
10. Help support FanGraphs and our entire staff! Our Members provide us with critical resources to improve the site and deliver new features!
We hope you'll consider a Membership today, for yourself or as a gift! And we realize this has been an awfully long sales pitch, so we've also removed all the other ads in this article. We didn't want to overdo it.
Jose Quintana, Home Runs, and Statcast
Batter Date Exit Velocity (mph) Launch Angle HR% Out%
Jorge Polanco 4/9 103 26 75 11
Nick Castellanos 4/4 108 22 75 3
Mookie Betts 5/30 108 21 59 8
Deven Marrero 5/30 103 23 49 12
Jake Lamb 5/24 99 27 44 39
Brandon Guyer 4/21 101 24 42 17
Hunter Renfroe 5/14 101 30 35 51
JaCoby Jones 4/4 98 32 29 62
Ian Kinsler 4/4 99 36 26 73
Deven Marrero 5/30 96 28 17 73

Looking over these homers, we find that he’s given up some that weren’t of the cheap variety. At the bottom of the list we see a few that were unlikely homers. Based on the above, we might be inclined to believe there was just some bad luck, that maybe Quintana’s skill in preventing homers isn’t quite gone.

Absent from the above list, however, is those batted that maybe “should have” been homers but weren’t. In an attempt to capture these plays, I did a search on Baseball Savant for batted balls that Quintana has allowed on which the expected ISO was greater than .750. I chose .750 because that’s the point where half of the batted balls are home runs. This search should pick up on any batted balls that should have been home runs but didn’t end up leaving the park. Here’s that table:

Jose Quintana and Statcast
Batter Date Exit Velocity (mph) Launch Angle HR% Out% Result
Paul Goldschmidt 5/24 107 20 49 8 2B
Alcides Escobar 5/2 99 30 41 49 FO
Joe Mauer 4/15 101 22 20 35 LO
Chris Gimenez 4/15 100 23 19 29 2B
Nick Castellanos 4/4 108 18 17 25 LO
Austin Jackson 4/21 105 18 4 33 2B
Max Kepler 4/15 105 18 4 33 2B
Non homers where expected ISO was at least .750 based on launch angle and exit velocity

It looks like he almost gave up a homer to Paul Goldschmidt, which is understandable, and that he almost gave up a homer to Alcides Escbar, which is less so. For the most part, it doesn’t seem like we have any particularly unusual results. It’s possible that Quintana has gotten a bit unlucky on homers. When we look at xwOBA compared to wOBA, it appears that Quintana has had some bad luck: his .314 xwOBA is much lower than his wOBA against of .345 this season. In both 2015 and 2016, the difference was just eight points, which is in line with pitching in a hitter’s park on the South Side of Chicago.

If we take a closer look at the dates on those home runs, we should note that six occurred in his first and last start, combined. In the nine starts in between, Quintana put up a strikeout rate of 25%, a walk rate of 9%, a HR/9 of 0.64, a HR/FB of 6.3%, a FIP of 3.07 and an ERA of 4.31 due to at 67% LOB rate. That’s pretty good.

When we note the potentially declining trade value of Jose Quintana, are we making too much of three extra home runs? Maybe. We shouldn’t ignore those two poor starts, and we should take notice of those extra home runs and those extra walks. As for trade value, it probably has declined — Quintana hasn’t pitched all that well this season — but it wouldn’t be too big of a surprise if he pitched as expected the rest of the way, helping the White Sox acquire more in a trade and another team contend for a playoff spot.





Craig Edwards can be found on twitter @craigjedwards.

12 Comments
Oldest
Newest Most Voted
Joe WilkeyMember since 2025
9 years ago

Based on the 17 batted balls provided, the expected number of HR based on the HR% for each is 6.05, which is actually less than the 7 you get using his career HR/FB%. The odds of him giving up 10 or more are 2.69% based on the same calculation.

Now, obviously there’s more to factor in here (stadium, weather, etc.), but based on those numbers, his skill at preventing the HR is as good or better than it’s always been.

Choos on first
9 years ago
Reply to  Joe Wilkey

But what happens when the weather gets warmer and the ball travels farther?

formerly matt wMember since 2025
9 years ago
Reply to  Joe Wilkey

One thing about this is that the numbers for those 17 batted balls don’t comprise all the batted balls off him that might have been home runs. For instance, on April 21 Jose Ramirez hit one that was within .2 MPH and .2 degrees of Kinsler’s, so like Kinsler’s it had a 26% chance of being a home run and a 73% chance of being an out. Which means it doesn’t show up on Craig’s query, since the xISO is… well, hmm, the xISO should be a bit above .750, but it doesn’t show up.*

Anyway, if you’re going to add up the HR% to get an expected number of HRs allowed, you should include balls like this, which are usually outs but if they aren’t outs are HRs. ‘Cause if you give up four balls like this, you’ll give up 1 HR on average, but it’ll look like you gave up one unlucky one and got three outs that should’ve been outs. The balls in Craig’s second table with a low HR% are screaming line drives that usually hit the wall.

That said it doesn’t look like Q has given up a lot of these usually-outs-but-sometimes-HR hits; it looks like most of the fly balls between 30 and 50 degree launch angle aren’t hit that hard.

*OK, I’m confused by Craig’s statement that a ball with an expected ISO of .750 is one where half the batted balls are home runs. The ISO of a home run is 3.000, so if the ball has a half chance of being a home run, the xISO should be at least 1.500, amirite? What am I missing?

jdbolickMember since 2024
9 years ago
Reply to  Joe Wilkey

his skill at preventing the HR is as good or better than it’s always been

Does he have that skill? Aside from 2014 he’s been around the 10% that is pretty standard for starting pitchers.

sadtromboneMember since 2020
9 years ago
Reply to  jdbolick

I don’t think that number is scaled for playing in a small stadium, and I thought the average was a little higher (like 12%)? I might be wrong on both those points.

Relsh
9 years ago

Could Quintana’s increase in strike out rate be attributed to him only having to go through each opponent’s lineup once or a twice a game?

Doorknob11
9 years ago

Yeah I definitely think it’s just a mix of bad luck and small sample size. Considering 6 of the 10 came in 2 games I wouldn’t be worried.

yinkadoubledare
9 years ago

He’s also not locating his curve very well. Rollers over the heart of the plate get hit out of the park.

Dominikk85Member since 2020
9 years ago

I think Q remains a good pitcher but maybe it still makes sense that a guy like sale who does run suppression more over the “standard” K-BB% route rather than HR or BABIP suppression commands a better market.

It feels like a good k-bb pitcher is a little more robust to fluctuations than a guy who relies on batted ball tendencies (unless the k pitchers loses velo or gets injured of course).

I’m not saying Q doesn’t have that HR suppression skill but still that might be more volatile than strikeout skills. Now Q wasn’t very vlotile before and his skill probably comes back soon but I can understand why a gm doesn’t feel great giving up a kings ransom for a guy with basically average K minus BB.

He still will give the sox a pretty good return with 2 top100 guys plus some more but I don’t think he will give the sox s consensus top10 prospect like sale did. Maybe it will be more like the hamels deal with s lot of “quality quantity” and a few top 100 guys but not a real top prospect.

Paul22
9 years ago

12% more HR/AB in 2017 than at the height of the Steroid era in 2000 might have something to do with it. Also, the changing strike zone hurts pitchers relying on the bottom of the zone for strikes.

awy
9 years ago

uh this is not very good analysis. you are basically mixing up two models and not dealing with the gap. the statcast model is a granular look at batted balls, with the idea of telling them apart. the FIP model makes vast assumptions about batted balls outside of homers.

when you mix them up, you are forgetting the fact that batted balls that were hit for homers would still be “hard hit balls,” something FIP and FIP-like models have no representation of. This means that you are basically forgetting the doubles and singles in the distribution of those batted balls.

This problem is somewhat resolved by going with xwOBA, but xwOBA is not park adjusted yet. There is a lot of flyball suppression stadiums in his division, and his home park isn’t a hitter friendly park this year going by statcast numbers.

The more severe problem though, is the continued insistence on a narrow focus on homers, a relic of the FIP model. Quintana is a flyball pitcher, and his flyball tendency has only gotten stronger this year. This combined with leaguewide increase in homerun rate on flyballs ought to be a sustained warning sign. The article does not address this.

EricR
9 years ago

It’s like the Leftovers or Another Earth. Jose Quintana’s HR Suppression just up and vanished one day, and it got to this other world where Matt Cain’s HR Suppression had been hanging out since 2013. Why did they get chosen?