2014 Average Absolute Angle Leaders & Laggards
So we learned that a hitter’s average absolute angle isn’t very stable from year to year, but that doesn’t make it any less interesting to dissect. What is this strange sounding metric you ask? Think of the field broken into equal segments, with center field at 0 and each side of the field a value increasing or decreasing from there. According to the definition at Baseball Heat Maps, -45 is the left field line and 45 is the right field line. Since I don’t care which line the ball is hit toward, I asked for the absolute value of the angle, and then the average of all those batted ball angles. So the higher the number, the more toward the lines the hitter’s batted balls were hit. And obviously since fence distances are closest down the lines, a higher absolute angle should yield more homers. Therefore, it follows that this variable has the highest coefficient in my xHR/FB rate regression equation.
For reference, the unweighted average of the data set was an average absolute angle of 19.7.
So without further ado, here are your average absolute angle leaders:
Name | Avg Abs Angle |
---|---|
DJ LeMahieu | 25.96 |
Jean Segura | 25.48 |
Carlos Santana | 25.33 |
Donovan Solano | 25.22 |
Bryce Harper | 24.96 |
Tyler Flowers | 24.80 |
Joe Mauer | 24.76 |
Robbie Grossman | 24.72 |
Allen Craig | 24.49 |
Tommy Medica | 24.45 |
Ryan Braun | 24.18 |
Jedd Gyorko | 23.67 |
Nick Hundley | 23.56 |
Chris Heisey | 23.47 |
Ender Inciarte | 23.45 |
Sean Rodriguez | 23.25 |
Michael Morse | 23.13 |
Justin Upton | 22.90 |
Howie Kendrick | 22.86 |
J.D. Martinez | 22.67 |
Carl Crawford | 22.63 |
David DeJesus | 22.61 |
Brian Dozier | 22.59 |
Wil Myers | 22.52 |
Josh Harrison | 22.51 |
DJ LeMahieu is probably a surprise at the top of the list and he was only at 19.3 in 2013, so this was quite the jump. Check out his spray chart:
Source: FanGraphs
All five of his homers were pulled to left field, but oddly most of his fly balls went the opposite way. So you can see how this batted ball mix yielded a league leading average absolute angle.
Because of Ryan Braun’s big angle mark, his xHR/FB rate was right in line with historical figures. His distance did drop a bit, but nothing worth panicking over. Don’t be concerned about his career low 13.8% HR/FB rate. If healthy, I think he’s in for a nice rebound.
J.D. Martinez’s power outburst was boosted by his penchant for balls hit closer to the lines. A distance spiked helped as well, so the pair together led to his breakout. Because of a nearly 300 distance mark supported by a change in hitting mechanics, I think his power surge is mostly sustainable.
And now for the laggards:
Name | Avg Abs Angle |
---|---|
Alfonso Soriano | 13.93 |
Jackie Bradley Jr. | 14.34 |
A.J. Pollock | 14.85 |
Juan Lagares | 15.07 |
Andrelton Simmons | 15.10 |
Alex Rios | 15.26 |
Lorenzo Cain | 15.43 |
Ike Davis | 15.53 |
David Peralta | 15.64 |
Michael Choice | 15.90 |
Ruben Tejada | 15.93 |
Eugenio Suarez | 15.94 |
Alex Avila | 16.07 |
Brandon Phillips | 16.09 |
Mark Trumbo | 16.09 |
Adam Lind | 16.18 |
Starlin Castro | 16.25 |
Nick Swisher | 16.37 |
Scott Van Slyke | 16.42 |
Junior Lake | 16.44 |
Kelly Johnson | 16.52 |
David Ortiz | 16.79 |
Matt Joyce | 16.81 |
Austin Jackson | 16.84 |
If a sudden inability to pull the ball is a sign of being done as a hitter, then Alfonso Soriano picked the right time to retire.
Part of Alex Rios‘ power drought could be blamed on his inability to hit it closer to the lines. He never posted big angle marks, but this marked a career low. Moving to Kansas City won’t help his power reappear, but he should certainly rebound at least somewhat.
I don’t know what happened to Ike Davis, but would have liked to see him in a hitter’s park. Improved contact is great, but his power disappeared, and this is some of the reason why.
Blame Mark Trumbo’s HR/FB rate decline on a career low angle. His batted ball distance was just a smidge below his career best mark set in 2013, so he should rebound nicely this year.
Maybe this is the sign we’ve been waiting for that hints at David Ortiz’s impending decline? It has to happen at some point, right?! Pretty amazing that his angle was at a career low since we have data for back to 2008, and yet his HR/FB remained stable.
Mike Podhorzer is the 2015 Fantasy Sports Writers Association Baseball Writer of the Year and three-time Tout Wars champion. He is the author of the eBook Projecting X 2.0: How to Forecast Baseball Player Performance, which teaches you how to project players yourself. Follow Mike on X@MikePodhorzer and contact him via email.
Since you seem to be interested in how much the hitters are pulling the ball, why not adjust the raw angles? Make the “pull” field (LF for RHB, RF for LHB) 0 degrees and the “opposite” field 90 degrees. Then compute average pull angle (or whatever you want to call it) for everyone, where a value of 0 means every ball gets pulled down the line. As it is, you’re lumping oppo hits with pulled hits, and maybe that’s making the result less predictive.
No, I said exactly the opposite. I don’t care if the ball is pulled or hit the opposite way, as long as it’s down one of the lines. We know batters typically could hit the ball further when pulling hit, but since we already know the average distance, it doesn’t matter whether it’s pulled or pushed the opposite way.
I’m not sure I understand the point of this, then. At least, if you’re going to use it as an input for xHR/FB. You have players like LeMahieu, Segura, and Grossman who rank high on this list but clearly don’t (and aren’t likely to ever) carry a high HR/FB rate because it’s mostly the result of opposite field flyballs.
There’s probably a small subgroup of powerful hitters for whom opposite field flyballs close to the line correlate well with HR/FB rate, but for the majority of players that angle should be weighted at a fraction of the pull side.
But maybe you already adjust for that when you incorporate batted ball distance. Your equation is behind a pay wall so I don’t know how the details of the xHR/FB calculation.
Yeah the guys you mention just don’t have the distance so angle is rather moot
You mention the “unweighted average” in this article. Does that mean you account for unequal distribution of batted ball distance in the equation itself?
I’d think you’d need to weight one (or both) sides of the field by the difference in batted ball difference (somewhere around 10%, I’m guessing). So a ball hit directly down the pull side foul line would count as .45, whereas a ball down the opposite field foul line would be ~.41.
No I meant I just averaged every hitter’s angle, ignoring how many balls each batter hit. The true average would account for a batter hitting more flies, weighing their angle more highly in the group average than others. But I just averaged the percentages.