On Monday, I looked at how different spin rates for different pitches affect the way those pitches move through the air towards a batter. That post was useful for understanding the relationship between spin and velocity and movement. What it didn’t tell us, however, is too much about what the spin actually does for the pitcher: does more spin make pitches harder or easier to make contact with? Does more spin induce weaker contact? To answer those questions (as well as others), we can look at the actual production from hitters on these pitches. That’s the goal of this post.
The first such stat we’ll consider is contact rate (Contact%), or times made contact (balls in play or foul balls) per swing.
Unlike the graphs showing details about the flight path of the pitch, where the relationship was either constantly increasing or constantly decreasing the whole time for each pitch regardless of the measurement, there seems to be more of a parabolic shape here. (Except for knuckleballs. I don’t even know what’s going on there.) Contact rate is highest when the spin is neither very high nor very low, probably because abnormally fast- or slow-spinning pitches throw the hitter off-guard.
And then there’s swing rate (Swing%), which is just the percentage of times that batters swing at a pitch:
Other than changeups, for which the swing rate increases substantially before decreasing, there’s a very consistent negative relationship between spin rate and swing rate. My guess for why this is the case is hitters have a harder time telling what kind of pitch they’re being thrown when the spin is faster, so they swing less because they’re not totally sure what they’re swinging at.
Let’s also look at swinging-strike rate (Swinging Stike%), which is the intersection of contact and swing rate. It’s the percentage of pitches at which a batter swung and missed, also calculated as (Swing%)*(1-Contact%).
Pretty much what you would expect after looking at the previous two graphs. Throw your fastballs with lots of spin, I guess. All three fastball types (two-seam, four-seam, and cut) see rises in swinging-strike rate as the spin rate reaches the high end.
What happens when the batter makes contact with the ball? Does spin affect what happens then as well? It sure does:
More spin means fewer ground balls (GB%), unless you’re talking about curveballs, in which case it means more. Remember how Collin McHugh was targeted by the Astros because his curveball spun a lot and induced more ground balls? Here’s proof of that in action. And, once again, this makes sense — a topspin-heavy pitch is harder to lift into the air, since its point of contact with the bat (which is usually moving upwards) is moving downwards; and a backspin-heavy pitch is easier to lift, since its point of contact with the bat is moving upwards.
The converse of ground-ball rate, naturally, is fly-ball rate (or, OFFB%):
Not much of interest here. This is essentially the exact inverse of ground-ball rate. But, note, this is only outfield fly balls — we’ll come to pop ups soon. For now, what about line-drive rate (LD%)?
Nope. There’s no real meaningful effect until you get way to the extremes, at which point there are so few pitches that there might as well not be that effect at all. Overall, it looks like there is a very slight downward trend, but nothing very significant. This is not surprising, as line-drive rate is extremely random and unstable.
Pop-up percentage (PU%), on the other hand, gives us something nice-looking:
Other than curveballs, more spin pretty much always means higher likelihood of popups, for the same reason that there are more outfield fly balls with more spin — pop ups are the same thing, essentially, just without traveling as far. Oh, and don’t worry about that rise in the blue curveball curve on the graph after 2,000 RPM. That’s probably random, since there are few curveballs which spin that much. (Click here for a good read about the physics of pop ups.)
Pop ups are good for the pitcher, but the danger with balls in the air is that they can become home runs. Does the spin have any effect on that?
The left side of this graph is extremely jumbled, but the right side shows a huge dip in the rate of home runs per fly ball (HR/FB%) when the spin rate gets very high. I would ignore the curveballs and sliders again, since there aren’t very many breaking balls that spin that fast and that’s just random weirdness. But the two-seam and four-seam fastball dips are very real, as the trend starts before the x values get so high that there aren’t enough data points. This means that faster-spinning fastballs are (a) harder to make contact with, (b) popped up more, and (c) hit for home runs less often. Basically, at least for fastballs, spinnier = better. (Is spinnier a word? I’ll call it a word.)
To put the previous five graphs together: how are batted balls affected by spin rate overall? To answer that question, let’s look at spin rate vs. BABIP and spin rate vs. wOBABIP, a stat I’ve mentioned before and which is just wOBA on batted balls. Since I’m covering multiple years with this, I used the Basic wOBA equation.
Hmm… so maybe the spin rate doesn’t actually affect batted-ball production as much as it does batted-ball type. You can see a decrease in wOBABIP for two-seamers that spin at more than 3,000 RPM and curveballs that spin at over 2,000 RPM, but there aren’t so many data points at those values and that is, once again, probably just random variation. That’s unfortunate, since it looked for a little while like spin rate might give us a clue about which pitchers can keep a low BABIP and beat their peripherals.
Even so, though, we now know more about the effects of spin on pitches. Similarly to my location article from last month, this isn’t anything that will break new ground in baseball analytics — it’s not super applicable — but it’s pretty cool.
Jonah is a baseball analyst and Red Sox fan. He would like it if you followed him on Twitter @japemstein, but can't really do anything about it if you don't.