Is there any predictive value to % Line Drives?
I remember exploring this issue some last year and finding that %LD didn't really have much correlation to performance. Considering I didn't have access to that information before last year, I couldn't test if it had any predictive value, but I felt that it didn't.
Lately, I've been seeing people use that data point to argue for or against a certain prospect, and I'm curious to know why.
My question is, has anyone done further analysis on %LD or %GB to see if it really has any predictive value? I haven't see any myself, but I haven't been able to follow baseball as closely this year as I have in the past.
0 recs |
14 comments
Comments
hardball times
by Galt on Sep 19, 2007 1:10 PM EDT reply actions 0 recs
LD%
I've been looking at the predictive value of LD% and the repeatability of the metric. I don't have solid conclusions yet, but it seems that LD% has a pretty good correlation to slugging and batting average, which supports THT's findings.
What is intuitively certain is that a line drive is better, for the batter, than a strikeout or infield fly. So if a player can reduce those rates and increase their LD-rate, it's certainly a benefit and a positive move in statistics will emerge.
by kschellenger on Sep 19, 2007 1:17 PM EDT reply actions 0 recs
Here's one thread from last year...
It just doesn't seem like %LD is a useful data point, not when predicting future success.
http://www.minorleagueball.com/story/2006/12/23/144442/10
And I agree, it seems logical that it would mean something, and maybe it's a better tool to examine current data and not something with much predictive value.
by beastball on Sep 19, 2007 1:31 PM EDT reply actions 0 recs
well
As it is, the stat seems problematic to me. There's not, AFAIK, a definitive cut-off between LDs and FBs and GBs and LDs, so at the margins you're going to get some distortion. And even if there was a standard (something like "ball trajectory leaving the bat of X degrees above the horizontal at at least Y velocity"), I doubt there'd be competent measures in place to accurately observe it.
The other possibility is that, as players develop in the minors, their swings change and they hit line drives at differing percentages. Maybe minor league LD% just don't translate to the majors very well.
by mraver on Sep 19, 2007 2:47 PM EDT up reply actions 0 recs
Yeah...
As it is, we have to prospect using smallish sample sizes, so if a trend doesn't present itself in a year's worth of play (~600 PAs or less), then it's not particularly useful. Trending is useful when tracking progress, so these percentages might be useful in that regard, but I don't see a correlation between these percentages and present or future success.
I couldn't take a set of these percentages and have any idea how the player had performed or will perform in the future.
by beastball on Sep 19, 2007 3:04 PM EDT up reply actions 0 recs
LD%
by limozeen on Sep 19, 2007 3:41 PM EDT reply actions 0 recs
That could possibly be
by Brickhaus on Sep 19, 2007 6:46 PM EDT up reply actions 0 recs
Distortion
It's not perfect, but it's better than not categorizing batted balls, not only for hitters but for pitchers. All things considered, pitchers who give up a lot of line drives tend to pitch poorly. All things considered, hitters who hit a lot of line drives tend to hit well.
For short periods of time a hitter can have an extraordinary run of bad luck and hit a lot of line drives right at people. But over the course of a season, that luck tends to even out. So if a guy has a high line drive percentage and a low batting average, you can predict that his batting average will go up over time.
For example, both Jason Bartlett and Jason Kubel had high LD % and low BA early in the year. Over the course of the year, their BA has tended towards their LD%. In this way, LD is a useful stat.
It's not useful for fine-grained analysis because it's fuzzy at the margins as you point out. But it's a pretty good broad brush approach.
by cmathewson on Sep 19, 2007 4:21 PM EDT reply actions 0 recs
I agree with the logic...
When I looked at it briefly it seemed that those who hit poorly were hitting just as many line drives as those hitting well. The worst hitters in the league, statistically, were hitting as many LDs as the best hitters. Someone like Burroughs hit over 20% LDs, while Maybin hits less than 10%, but what does that really mean?
I suspect that LD/GB ratios with pitchers have some predictive value, although I don't use it myself since, as I said, I do pretty well with pitchers. But I don't know that there's any value to those numbers for a hitter.
And as I said, you could stack up these percentages and not really have any idea how well the hitter really did. High LDs doesn't mean the hitter did well, and low LDs doesn't mean they did poorly. So what value does it have, really?
by beastball on Sep 19, 2007 4:42 PM EDT up reply actions 0 recs
I think
I think it's very good for players that have been around and are not changing much. Or maybe to give you an idea that a player or prospect MIGHT be changing their plate approach.
by pedrophile on Sep 19, 2007 6:10 PM EDT up reply actions 0 recs
my two cents
- are you trying to predict, or to explain? I could see very different applications for each. I think LD% is really helpful for explaining departures from the expected, such as waht cmathewson points out for Bartlett and Kubel, above.
- If LD% is being used to predict, what is it you want predicted? I'm sure it correlated with something - the question to me would be is that something a useful aspect of production? It might correlate better with doubles and singles, than with HRs, for example. Pick 6 variables and give me a dataset (with those 6 plus the LD%), and I can run the stats for you (siddfynch@yahoo.com);
- Just because some guys with low LD% can still show success in one measure of production is not proof that LD% isn't positively associated with that variable. There can be false positives and false negatives to anything - in fact, most statistical tests for research are set up to let a false positive slip through once every 20 events.
- If you want to predict success of a 19-yr-old, it makes sense that there will be more error involved - especially someone athletic who hasn't put it all together. A low line drive rate for Justin Upton might not be as good of a predictor for next year's LD rate as it would be for Ichiro or Jeff Conine, because he is still learning his craft. I think you need to look at the dataset as a whole (100 minor leaguers, not a select few) and see if it correlated in general.
Oh, and I can testify to Artie's skill with pitcher IDs - I leaned heavily on his commentary in here last year, with good results.
by siddfynch on Sep 20, 2007 1:59 AM EDT reply actions 0 recs
I actually agree with most of what you said...
Currently, I don't have a good way to identify good hitters given a relatively small sample size (a full year of PAs), which is really what you need if you want to identify the next big prospect.
I only posted this because lately people seem to be using %LD as a data point that can predict a prospect's future success or failure, which is a connection I haven't been able to make. I'm just wondering if they've found a way to examine that data which is useful to predict future success.
I did examine about 15-20 players last year, and found wildly different results. Like a guy hitting 16% LD could be a top prospect, a former prospect, or have the worst OPS in his league. The top prospects LD% ranged from 18% to 9%. While Kemp hit 20% LD in AA last year with great results, Sean Burroughs hit 24% in AAA, and he's a total bust. So I didn't see how that number could be useful, and thought I'd ask.
But I do agree with you, I think it may be useful in examining current performance, but what does it tell you, really? If a guy has a low LD%, but is performing well, does that mean it's not sustainable? Or conversely, if a guy has a high LD%, but is struggling, does that mean he's been unlucky? Cause if that trend were true, then it would be useful in identifying false positives. A month-by-month breakdown would be useful to test that theory.
by beastball on Sep 20, 2007 10:02 AM EDT up reply actions 0 recs

by 












