Beware of Launch Angle
Launch angle continues to trouble me. It might trouble many of you as well, I don’t know. I’ve done a lot of research into which launch angles are the most valuable (10-26), most repeatable (<0 and >26), most common (-10 to 10), and which have the greatest exit velocity (-10 to 20). These are round numbers, and each batter many differ with regards to their personal swing path or pitch selection.
Even with all of this, launch angle troubles me. Especially when I hear people quoting average launch angle.
In a lot of ways, average launch angle might be similar to average pitch velocity. If a pitcher throws 10% breaking balls and 90% fastballs his average velocity would be significantly higher than if he threw 90% breaking balls and 10% fastballs. Alright, 90% breaking balls is extreme, but you get my point. Maybe it is better to look at the velocity of each pitch independently: the guy has a 95mph fastball and an 84 mph curveball. That gives us a lot more information than saying he has an average velocity of, say, 91.
You have the same sort of problem when you quote average launch angle. Is the guy only hitting the ball to extremes? Maybe he only hits ground balls and pop ups, that would give you the same launch angle as a guy who only hit line drives or a guy who hit a perfectly balanced mix of ground balls, line drives, and fly balls. Using the average feels inherently wrong to me, but I haven’t been able to identify a better way to easily sum up this information.
The past few days I’ve been digging through pitch data in hopes of updating my xSwStrk metric from last year. In the process, I’ve been putting together charts to evaluate pitch quality based upon location. I’m a very visual learner, so this is a first step in anything I do. In the process, I’ve noticed a bit of a pattern in exit velocity from which we might be able to draw insight for launch angle.
Below you’ll see a Viz that contains average Exit Velocity, Launch Angle, and xOBA values across the zone. Note that the coordinates are in inches, and this data represents all batted ball data from 2017. I wanted to include 2015 and 2016 data as well, but it kept crashing as I was importing the data. It was unhappy with me for whatever reason. We’ll have to live with 2017 for now.
I want you to notice where the highest exit velocity balls are located. They are in the heart of the zone, as you’d expect. It ranges from about 18 inches off the ground up to 40-45 inches. The distribution favors the lower part of this area, which also shouldn’t be a surprise.
All in all, the high exit velocity region represents the area just below the knee up to the belt or maybe belly button area for most batters. This would probably be around the bottom of the rib cage on a guy like Altuve. Just to give some perspective.
It also spans roughly the entire width of the plate, ranging from about -9 to +9 inches, give or take, although it narrows off towards the top of the zone, representing only the middle third of the plate as you get higher above the belt on most batters.
Up to this point, there really should be nothing surprising about this heat map. The middle of the plate between the knee and belt produces good contact. Everyone knows that.
If you look at the xOBA values, not much changes. The zone widens out a bit, with the higher value region covering a few extra inches of the corners when compared to the exit velocity. You can think of these areas as the pulled and pushed line drives down the lines, shallow fly balls that drop for hits, etc. Balls where the batter may not make perfect contact, but can get just enough to get a hit. All things considered, the exit velocity and xOBA values follow a very similar pattern.
Now, look at the launch angle data. I’ve created three color bands for this, two cold blue zones and one hot red zone. The red shows the high value launch angles, and the blue show the extreme angles, which are much lower value, on average.
There is a thick band of high quality launch angles that swoops into the zone, which reaches as low as 28 inches above the ground in the heart of the plate and 30 to 40 inches on the corners. Below this band you see a lot of ground balls, and above this band you see many fly balls.
Okay, so, again, this shouldn’t be a huge surprise. We know that balls low in the zone create more ground balls and those up in the zone tend to create more fly balls. However, the surprising thing, for me, is how disconnected the launch angle values are from the overall values. The overall value is clearly driven by exit velocity to a far greater degree than launch angle. Which, again, shouldn’t be a big surprise. But the degree to which exit velocity wins out over launch angle is very surprising to me.
I fully expected to see a cold area at the bottom of the zone for xOBA, regardless of exit velocity, but that pattern isn’t strong at all. There is a slight gradient in value as you go lower in the zone, but it is overwhelmed by the exit velocity to the point where you can just about ignore launch angle without losing much information at all.
This may be partly the result of exit velocity containing imbedded information about launch angle. As I stated before, exit velocity peaks at certain angles, depending on the specifics of the batter’s swing. That means a ball hit with high exit velocity must be bounded between some minimum and maximum launch angle. For this reason, it is impossible to separate exit velocity from launch angle, they are inherently intertwined.
So, let’s look at an example player: Hunter Renfroe. Renfroe is a young power hitter with the Padres who has a ton of potential. Exciting to watch, I think. But he has very extreme launch angles, he is an extreme fly ball hitter. You might not be able to tell from his 45% fly ball rate, but 19.5% of his balls have been hit above 39 degrees this season. That is tied for 24th (out of 136) among batters with at least 350 plate appearances. He’s also tied for 20th in balls hit above 26 degrees among batters with at least 350 PA. So in either case he is in the top 25 or so in flyball launch angles. Similarly placed batters: Anthony Rendon, Whit Merrifield, Yonder Alonso, and Edwin Encarnacion.
Renfroe has above average exit velocity, sitting around 2 mph above major league average after accounting for park and weather effects. Which, in addition to his above average launch angles should explain his solid home run total.
Alright, with that out of the way, I’ve created very similar exit velocity and launch angle charts for Renfroe.
If you hover over the exit velocity chart and look at the coordinates, you should notice that the top of the chart for Renfroe is just about the top of the red blob in the first exit velocity chart I showed. Remember, that one peaked around 40-45 inches, and disregarding the three floating spots, the top of Renfroe’s chart is about 45 inches high.
Renfroe’s high exit velocity region, when you take the prior information into account, matches up just about perfectly with the league average data. All of the areas there he creates high exit velocity just about everyone else in baseball would do the same. Perhaps he has different swing and miss heat maps and things of that nature, but in terms of pure exit velocity he matches up very well.
Now, take a look at his average launch angle data. It is colored slightly differently, this time I made high launch angles purple, low angles blue, and the ideal angles in the middle are red.
The major league average hitters hit balls between 24 and 35 inches above the ground on angles between 10 and 20 degrees. These are extraordinarily valuable launch angles which produce large numbers of doubles and singles and occasionally home runs.
Renfroe hits much of this same region of the strike zone upwards of 25 degrees. A 25 degree ball is very good, but remember these are averages. A ball with an average of 25 degrees likely means many are hit at a much steeper angle, and value drops off extremely quickly once you go above 30 degrees or so. The launch angles increase even more as you move towards his hands on the inside part of the plate, where he is averaging 45-46 degree launch angles.
What does it all mean?
Well, my takeaway is this: exit velocity is easier to wrap your head around. It contains information about launch angle without having to reference the launch angle itself. Batters all seem to produce exit velocities in similar areas of the zone, and exit velocities seem to have pretty similar game values overall.
Launch angle is largely dependent on the particular swing and approach of a given batter. If they have an uppercut, then they will produce high launch angles with their high velocity balls. If they swing down on the ball, then they will have lower launch angles with their high velocity balls.
Launch angle is a very complicated and nuanced topic, and in all likelihood focusing on launch angle will lead you to make ill informed decisions. It might lead you to believe you know something that you do not, cause confusion, or obfuscate the truth.
There are correct and incorrect ways to use launch angle, and they might be subtle. I’m not in any way comfortable using it myself, except to highlight small sample size issues. For example, I know batters will likely have roughly the same number of high launch angle batted balls from one year to another, it is a very sticky stat. So if a batter has much fewer than expected after, say, 100 plate appearances, I feel safe assuming it will balance out over time and return to his career average.
However, if you tell me a batter has increased his angle by a certain amount, I feel like that information is probably sketchy at best. I do not trust it. You would need to tell me more. For example, maybe he changed his swing. Maybe he changed his approach. Those I might believe. But if you quote the angles, no thank you.
Andrew Perpetua is the creator of CitiFieldHR.com and xStats.org, and plays around with Statcast data for fun. Follow him on Twitter @AndrewPerpetua.
I saw the article title and the first thing that came to mind was “Trevor Story.”
Hah, yeah. He came to mind for me, too, but I didn’t want to do yet another Story highlight. Or Alonso. So I sat back and thought who has a high launch angle? Oh, Hunter Renfroe. The dude hits moonshots. He listened to that Watsky song and took it literally.
Swing, out of your shoes
And if you should lose this time
Keep on swinging and swinging and soon
When you connect
With all of your strength
Look up and you might see a dent in the moon
Yeah, you see them craters?
That was ‘cause a kid said there’d be none greater
In ten years Hammering Hank was at the plate launching balls into space saying see ya later
Thank you for putting this together. So many analysts are throwing launch angle numbers out there because they align with upticks in performance over small samples, not because LA changes have been proven to be productive. Many times they’re not.
I feel like the “barrel” stat does a better job of bringing angle and EV together in a way that correlates with skills and outcomes, but I wish it were “barrelness” or something instead of a binary cutoff. Essentially, how far into the barrel zone the EV/LA point is.
I have a stat called Value Hits which is similar to “barrel” but doesn’t have the same sort of arbitrary cut off. Instead of cutting off with arbitrary exit velocity and launch angles, it has a cut off for minimum expected batted ball value. If a ball has .88 linear weight or higher, it is counted. It doesn’t care if you hit the ball 50 mph or 150 mph as long as it has a high probability for extra bases.
I also have two sister stats called OUTs and bbFIP which are effectively the same thing. bbFIP translates OUTs to an ERA scaler so it is comparable to (and superior to) FIP. This stat measures the quantity of successful at bats (high probabilty of a base hit or walk) versus failed at bats (strikeout or low probability of a hit). In both cases lower is better.
So you can look at those two if you want.
Thanks for the article and follow up. Is there a place we can see and sort players according to “Value Hits, “OUTs” and “bbFIP”?
My website is xStats.org
I like barrels but it is a pretty rare event (like 10 percent of PAs of really good hitters).
Maybe something like non terrible contact percentage (-5 to plus 35 degrees and at least 90 mph or so) would be interesting too.
Not sure how telling that would be,it would tell you something about batted ball quality but then again we know from pure exit velo that there isn’t much of a difference in value between say 78 mph (I think softer ones tend to be even more valuable but you can’t do swinging bunts as a skill) until 92 or so.
But in theory less pop ups, high flies and choppers would be good of course.
Nice article, I think average la tells you something but I would assume a narrower profile is better.
Also as you noted higher average angle is not necessarily better. The LAs are distributed along kind of a bell curve but the value is not. 30 degrees might be ideal but above 30 the value drops off very steeply.that is because between 10 and 30 babip slowly drops but slugging goes up but above 30 slg stops going up but babip still goes down.
I made a community research article about that and found out that very few hitters are effective with an average LA above 15-16.
Also LA doesn’t really make a difference for the softer hitters, the harder hitters can gain though if they improve their LA when it is very low.
http://www.fangraphs.com/community/why-launch-angle-can-only-be-optimized-not-maximized/
So when a hard hitter goes from 6 t o 12 degrees it probably is good but other than that average LA doesn’t tell you as much unless it is extreme (below 9 or above 20)
Average exit velocity isn’t particularly valuable because it lacks context, which is what you are struggling with. That is the problem with sabermetrics in general, embracing the limitations of baseball science and statistics is a huge step towards better understanding of the game.
When you are just working with an average it is not very valuable for many of the reasons that you outline. Sure, Stanton, Sano and Judge float near the top, and some light-hitting track-guys will sift to the bottom, but it doesn’t tell you much about most hitters. It also doesn’t really tell you anything about the extremes – we already know that Billy Hamilton doesn’t hit the ball hard and that giant men leading the league in HR hit ball hard.
If you really want to get that round peg into that square hole, try exit velocity on line-drives which came from fastballs with center-center location – think the pitch f/x system with nine boxes – that would increase your sample size and give you enough data. Everyone is good at hitting fastballs in the middle of the plate. That is where you will find their most consistent swing. I think you might get something out of that.
In the past I have shown that using exit velocity you can accurately predict a players stats, project how they will perform in the future, and also estimate how many runs will score in a given game or season. It is a pretty valuable tool in its own right. I touched on that a bit in my hardball times piece http://www.hardballtimes.com/xstats-and-fantasy-uses-for-statcast/
Does it compare favorably with using past stats to predict future stats? I am not saying that Statcast data is worthless, just that it doesn’t tell us much that we don’t already know. It also give us absolute trash, like the conclusions people draw from sprint speed.
Can you name any other stat that, on its own without any other information, can give you as much as exit velocity? The only thing that comes to mind is strike outs minus walks, but that takes two numbers.
What are your thoughts on using launch angle to analyze a specific pitcher’s individual pitches?
I think launch angle is so intimately tied with swing mechanics that you probably shouldn’t talk about it outside the context of swing mechanics. The only exceptions being what I stated before, when a player is obviously operating far outside of their career norms. If they are hitting far too many/few ground balls or pop ups and things like that. Once you get into the nittygritty you are stepping into the realm of mechanics.
For a pitcher it is a little different, since you’ll gradually average out batter swing path over time. But it is still risky and you’re flirting with danger.
Thanks for writing this article Andrew. We end up talking about average launch angles and average exit velocity because it’s hard to talk about these things as distributions, which is most certainly how we should view them. Analysts need a single number to point at in broadcasts for simplicity, so this is what we’ve got. People understand averages.
Even though median would be a better descriptor for both (a few articles recently here have used median, which I applaud), it’s just not a concept the general public can consume, even though it’s not very difficult.
Your comments surrounding launch angle and swing mechanics are certainly very true and something I’d had rattling around in my head for a while. I’d wanted to see if there were groups of players that produced sub-optimal launch angles on certain types of pitches or in certain parts of the zone, and then check out what their swings look like.
My poster boys for average LA and EV don’t tell the whole story are Maikel Franco and Yasiel Puig. Both may “average” something that looks great, but their distributions are very wonky and lead to mostly less than optimal results. If Franco ever learns how to stop hitting the ball directly into the groud with authority and taps into his flyball power, he’s going to be a monster. Puig on the other hand has top flight EV on a portion of his balls, but his swing mechanics really limit his offensive upside. He’s more of a chopper than a lofter.
I think that bat path to launch angle problem is probably *the* cutting edge of research right now. I believe Alan Nathan is doing a presentation on this topic for Saberseminar this weekend. Perhaps today?
Hello Andrew,
I really like what you have been able to put together (xStats), I was wondering if you could shed a little light on a couple of stat categories.
I’ve been looking at VH% and OUTs. I’m comparing Jake Lamb and Mike Moustakas.
Lamb currently has a VH% of 8.5% while Moose has a 8.3%VH but when I look at (OUTs) Lamb sports a -.061% while Moose has .051%.
Using the (OUTs) category Lamb has Moose beat by nearly 100 points if I’m reading this correctly. My question is, of the two Categories which one would you put the most stock in? I realize that there are a great deal of factors into choosing the better player.
When filtering through the (OUTs) category I couldn’t help but notice the caliber of players dominating that particular list.
Thanks for your time sir.
Hi, I would side with OUTs. From what I can tell it is the most predictive both in season and between seasons out of anything I have.
It is a complete measure of performance, ranging from ability to make good contact and avoid weak contact, to drawing walks, and avoiding strike outs. It measures frequency of success, and quality of success.
You can also convert it to expected runs per game by multiplying by -11 and then adding a constant (the bbFIP constant, which is ~5.3). You can also convert OUTs to draftkings salary, team scoring potential, and all sorts of other things like that if you’re into that sort of thing.
That is extremely helpful Andrew, thank you.
My last question would be, what would be the minimum sample size of data to use the (OUTs) cat.? Obviously larger would be more telling but a guy like Jesse Winker would probably not have enough data.
Thanks again Andrew.
I’m not sure exactly how long it takes OUTs to stabilize. I imagine it would land somewhere between K-BB/PA and FIP.
~
If this is posted anywhere for public consumption, please let me/us know. It’s definitely the way to unlock more offense for certain segments of players.
Do you mean if Nathan’s presentation is posted somewhere? You should ask him about that. I’m sure it will be posted somewhere in some form, he’s generally pretty open about making things accessible. I believe the presentation was this morning, I saw some people tweeting about it. Unfortunately I couldn’t attend.