2016’s Best Pitches by Results
While the 2016 campaign is over and the flurry of moves after the season has come to a halt for the moment, a whole year’s worth of data remains to be examined. Today’s post is an easy one and a fun one. Let’s find the best pitches that were thrown regularly last year.
Before we begin: the word “results” appears in the headline, but I’m not going to use results judged by things like singles and doubles and the like. The samples gets pretty small if you chop up the ball-in-play numbers on a single pitch, and defense exerts too much of an influence on those numbers. So “results” here denotes not hit types, but rather whiffs and grounders.
I’ve grouped all the pitches thrown last year, minimum 75 for non-fastballs, 100 for fastballs. I combined knuckle and regular curves, and put split-fingers in with the changeups. So the sample per pitch type is generally around 300 — a lot less for cutters (89) and a bunch more for four seamers (500) — but generally around 300 pitches qualified in each category. Then I found the z-scores for the whiff and ground-ball rates on those pitches. I multiplied the whiff rate z-score by two before adding it to the ground-ball rate because I generally found correlations that were twice as strong between whiff rates and overall numbers like ERA and SIERA than they were for ground-ball rates.
The caveats are obvious. Pitches work in tandem, so you may get a whiff on your changeup because your fastball is so devastating. This doesn’t reward called strikes as much as swinging strikes, so it’s not a great measure for command. On the other hand, there isn’t a great measure for command. By using ground-ball rate instead of launch-angle allowed, we’re using some ball-in-play data and maybe not the best ball-in-play data.
But average-launch-angle allowed is problematic in its own way, and ground-ball rate is actually one of the best ball-in-play stats we have — it’s very sticky year to year and becomes meaningful very quickly. Whiff rates are super sexy, since a swing and a miss represents a clear victory for the pitchers over the batter — and also because there’s no room for scorer error or bias in the numbers. And while the precise way in which pitches work in tandem remains obscure in pitching analysis, we can still learn something from splitting the pitches up into their own buckets.
First, the overall top 15. It’s all relievers, of course, because relievers can come in throwing as hard as they can, they can use only their very best pitchers, and they can be leveraged to face only the batters who are predisposed to struggle against them. In all other ways, relieving is the toughest job in baseball, but in this one way, they get an advantage.
| Pitcher | Pitch Type | swSTR | GB% | Sum Z |
|---|---|---|---|---|
| Zach Britton | FT | 17.3% | 60.1% | 12.6 |
| Sergio Romo | SI | 15.4% | 37.5% | 8.5 |
| Michael Lorenzen | FT | 12.1% | 60.0% | 8.3 |
| Aroldis Chapman | FF | 17.2% | 37.6% | 8.1 |
| Jeurys Familia | SI | 13.5% | 46.8% | 7.9 |
| Mike Montgomery | CH | 28.0% | 60.0% | 7.5 |
| Alex Colome | FC | 24.3% | 41.7% | 7.3 |
| Luke Gregerson | SL | 32.6% | 36.6% | 7.0 |
| Carl Edwards Jr. | FF | 16.1% | 33.3% | 6.9 |
| Rob Scahill | FT | 11.9% | 49.1% | 6.8 |
| Ken Giles | SL | 33.8% | 30.4% | 6.8 |
| Darren O’Day | FF | 19.3% | 14.3% | 6.8 |
| Pedro Baez | FT | 13.2% | 37.9% | 6.7 |
| Edwin Diaz | SL | 33.5% | 29.4% | 6.6 |
| Josh Osich | FT | 10.9% | 54.5% | 6.6 |
For the second year in a row, Zach Britton’s sinker is the best pitch in baseball. It’s an awesome pitch, matched only in velocity and sink by the sinkers thrown from the right arms of Sam Dyson and Blake Treinen. Remarkable, given how differently the three pitchers find that movement, but still a rare combination of gas and movement. There are 14 sinkers that get double-digit whiff rates, and only one other sinker that gets more than 15% whiffs, so Britton stands alone.
That way in which pitches might work in tandem is relevant to the second name on the list. Sergio Romo’s slider is good but not great these days (only slightly above average by whiffs at 17%), but it’s in everyone’s head because he throws it so often. In certain counts, though, Romo is just as likely to throw the sinker as any pitch: in 1-1 counts last year, batters actually saw the four-seam and two-seam as often as the slider. That would be surprising, considering Romo led baseball in slider percentage last year.
Then you get the gas. Michael Lorenzen, Aroldis Chapman, and Jeurys Familia throw the ball hard. It’s what they do. Throw in Alex Colome on that mini-list — and Carl Edwards, Jr, too, although he also adds great spin to the picture. These are the pitches you expect to see on this list, though even here you learn that Lorenzen has a better fastball than you might expect.
The phrase “perennial surprise” is an oxymoron, but it characterizes Darren O’Day’s appearance on this list every year. His fastball lost half a tick of gas, and half an inch of rise, so it dropped a few rungs from eighth to 13th last year. It’s still a remarkable pitch, given the deception he can provide by sometimes throwing a rising fastball from that arm slot.

Luke Gregerson’s slider will forever keep him in the big leagues, it seems, but now it doesn’t get the most whiffs on his own team! Ken Giles is coming for the crown. Newcomer to this list and our hearts, Edwin Diaz throws impressive heat, but it’s the slider that makes him a star. That might be relevant to any discussion of his future as a starter? If it was all about the fastball and he was destined to lose gas by moving to the rotation, you might worry. This way, you know he has an elite slider, and the question of starting can return to being one about his changeup and his health and mechanics.
Last on the list is a guy who shows us why we do this sort of thing: Josh Osich. The 28-year-old had a forgettable year in the Giants pen, at least when you look at traditional results. He barely struck out more batters than he walked, and added a home-run problem to boot. However! He was a top-five ground-ball guy among relievers with at least 30 innings, and that was because of his excellent 96 mph sinker, which has top-10 movement in both directions among sinkers that averaged over 94 (66 total). After offseason surgery on his knee, maybe his command will improve, and his pitch will shine. At the very least, there’s more going on with Josh Osich than a near-five ERA.
We’ll get to the starters next, but before you get to a starter on this list, you see Gavin Floyd‘s curve, Ryan Tepera‘s cutter, and Felipe Rivero’s changeup. So, yeah, it makes sense to separate the starters and the relievers. Just like it makes a little sense to separate out each pitch type.
With a phone full of pictures of pitchers' fingers, strange beers, and his two toddler sons, Eno Sarris can be found at the ballpark or a brewery most days. Read him here, writing about the A's or Giants at The Athletic, or about beer at October. Follow him on Twitter @enosarris if you can handle the sandwiches and inanity.
Surprised to see Mike Montgomery’s change rated so highly. would’ve though the curve would be the best pitch….
The combination of those two make him extremely enticing as a starter, particularly when his extreme GB% and good velocity are considered. The command only has to remain passable for him to be a quality pitcher with all those other advantages.
His curve was top 25 too!! You just wonder what the fastball velocity/command is enough really.
Thank you for showing us so many of these pitches, Eno. The visuals make this work for me.
And Britton’s sinker is just, like, Wow!
Loved this post. Since you have the data, can you do the same list for starting pitchers only? (or pitchers with >= 100 IP or something like that) Thanks!
Starters tomorrow!
I enjoy this post each year.
Really surprised not to see any mention of the Kenley Jansen cutter. He’s throws it 95% of the time and he’s utterly dominant. I would find it hard to believe that the pitches he throws the other 5% of the time are what make him so good.
The focus here is on Whiff rate and GB%. His GB% on the cutter is only 27.5%, which is quite low, and the whiff rate is 19.2%.
Something like a “Corn%” stat would really help pick up Jansen and others like him that generate a ton of weak Flyballs in the 75-90mph donut hole exit velo/angles zones.
Blame Lackey. I didn’t want to open pandora’s box by moving guys around, but with 89 cutters and Lackey’s slider with a slider-like whiff rate at the top, Jansen’s 17% whiff rate on the cutter in PITCHf/x wasn’t good enough to offset the minus in grounders. Also: volume is definitely important and not well dealt with here.
Eno, where did Hector Neris’s splitter land? Brooks Baseball has it at 22.62% whiff rate and 58% GB rate.
PITCHf/x says he throws a change and a splitter, which is probably a mistake, and has Neris at 21% whiffs and 43% grounders, which basically put him just outside the top 75.
You should do this for starters. Everyone of these guys are relievers with Montgomery throwing the most total pitches (1799) and Chapman throwing the most of any one pitch (1019). It’s sort of small sample size, whereas Verlander threw 3662 total pitches with 2097 being a 4-seamer.
Reread Eno’s last paragraph, please.
sorry… the article lost my attention after Darren O’Day
Gosh that O’Day gif is a stunning one…..goes hand in hand with his .254!!! career babip.
Good luck squaring that up…..
Did you use savant to get all the numbers? What parameters did you use to get the swstrk%? I can only get swstrk% as a % of total pitches thrown
Is Gausman’s split on your list for starters because if so there goes my Kevin Gausman should throw more splitters article.
We have a PITCHf/x database that I queried. did swSTR divided by total pitches of that pitch type, yes.
Was hoping this would be about best results on a single pitch; like a triple play or whatever.
Is relief pitching really the toughest job in baseball? Wouldn’t pinch hitting top that list?
It’s probably worth some sort of real investigation! I said it because relief pitching is so volatile year to year and they’re paid so little. Pinch hitting, at least these days, seems to be the last vestige of a veteran’s career.
I’ve explained this many times but because game theory tells that all of a pitcher’s pitches must be equal in results given the count, batter and game situation (mostly the count) all a “best pitch” list tells us is which pitchers are good and what pitches they throw in pitchers’ counts. Fastballs will almost never show up as “best” pitches unless the pitcher is one of the best pitchers in baseball overall and/or he throws a FB most of the time even in pitchers’ counts. You will also see pitches that show up on the list that are not great pitches but are thrown infrequently primarily in pitchers counts from decent or better pitchers.
If a pitch makes the list from a pitcher who isn’t that good one of three things must be the case: One, it was a fluke (sample noise) even if you have a min number of pitches. Two, he uses that pitch very sparingly and only in extreme pitcher’s counts. Three, he is pitching very suboptimally and should be using that pitch WAY more often.
Basically, while “best pitches” by results are going to tend to be very good pitches, and “worst pitches” by results tend to be bad pitches, these lists without controlling for frequency thrown and in what count, are never going to be actual “best and worst” pitches.
The best way I can illustrate this is this: Say I have a pretty crappy but funky pitch maybe an eephus pitch. If I only throw it 1% of the time and only on 0-2 counts it is going to show up as a “best pitch” even though it isn’t. You can argue that by definition it is “best pitch” simply because it has the best result, which is fine. I just want to make clear that it is not just the “naked” quality of a pitch that leads to good and bad results. It is how often it is thrown and at what counts ALONG WITH the naked quality.
I’ve seen you mention this before, and I agree that it makes more sense to weight based on value per pitch thrown and based on count (although sequencing can make certain pitches better too!). Have you done or are you aware of any research on pulling this data together and properly weighting the variables?
Well first, and I didn’t mention this, it makes zero sense to evaluate a pitch based on swing and miss % and GB rate, especially the GB rate part. Obviously some of the best pitches are not GB pitches when they are contacted.
I don’t know how he computed GB rate (per pitch, per contacted pitch) but either way there is going to be an inverse relationship between swing and miss rate and GB% which is problematic for evaluating pitches.
“Best” and “worst” pitches should simply be run value per pitch as you say, exactly as they do at this site, BUT it has to be adjusted for count. As you can see if you look at the pitch value numbers, most of the time the fastball will have the lowest value simply because it is thrown more often at hitters’ counts, unless it is thrown a lot by the pitcher (such that it is thrown at all counts) or the pitcher tends to pitch “backwards.”
No research in this area that I am aware of.
The notion of “sequencing” is a myth also, for the same reasons. Game theory. If throwing a curve ball after a high fastball for example, elevates the value of the curve ball, then the pitcher will throw it more often until its value is the same as any other pitch. In terms of “naked” value there might be some “sequencing” value (although I doubt it is very much) but in terms of results of simply pitch value, there can be NO “resultant” value.
Again, that’s because game theory tells us that pitchers in any given situation will throw any one pitch and location exactly as often as it takes to make the result exactly equivalent to any other pitch.
I’ll admit that this is 1.0 on a project that I’m trying to push past 2.2 on! I understand your concerns. I still have fun doing this with the caveat paragraph in place, mostly because the emphasis on swinging strikes and the 100 minimum actually tends to bring the better pitches up, because pitchers tend to throw their best pitches in counts that batters tend to swing in, or so they tell me.
Eno,
Although I think I heard it on a podcast, can you share your thoughts on Sam Dyson as a closer?
Huge floor given that his sinker will always limit the homers that tend to cost relievers their job. But he gives up more balls in play and cedes some velocity and Ks to Matt Bush, so if a few seeing eye grounders find their way at the wrong moment, he could be a little nervous. He’s close to Britton, but he’s not Britton in terms of strikeouts and whiffs.
As a NorCal Dodger fan, I have had many opportunities to watch Sergio Romo pitch for the dreaded Giants. He has a devastating pitch but tends to go through at least one awful stretch each year. I would be intrigued if the Dodgers signed him. How do you think his pitching will age over the upcoming seasons?