Surprising Batted Ball Distance Laggards
Yesterday I discussed the leaders in average home run plus fly ball distance, some of which were surprises and validated the player’s early power surge. Instead of simply looking at the laggards today, which include such obvious names as Juan Pierre and Skip Schumaker, I’m just going to cherry pick some of the surprising names toward the bottom of the ranking list.
| Rank | Name | Distance | HR/FB |
|---|---|---|---|
| 191 | Josh Hamilton | 268.24 | 9.3% |
| 200 | Matt Kemp | 266.30 | 2.7% |
| 205 | Ian Kinsler | 264.63 | 13.0% |
| 211 | Ben Zobrist | 263.31 | 6.8% |
| 215 | Andre Ethier | 262.24 | 6.7% |
| 220 | Justin Morneau | 261.65 | 4.0% |
| 227 | Nick Swisher | 258.57 | 13.5% |
| 228 | Paul Konerko | 258.38 | 8.0% |
As a reminder, the league average distance is around 275-280 feet.
As if there weren’t enough metrics to confirm that Josh Hamilton is truly struggling right now, here’s another. Since 2007, Hamilton’s average distance has typically been between 290 and 300 feet, so it is clear that he’s simply not hitting the ball as hard. Yesterday, news came out that Hamilton has been playing with an illness for the last 10-14 days. That may have very well been affecting his power at the plate, but of course he wasn’t exactly lighting it up before this purported illness. He’s likely to come out of this funk at some point, but given the red flags in some of the advanced metrics last year that were clouded by his career best HR/FB ratio, combined with the switch to a much less forgiving ballpark, I’d have to be given an opportunity to buy really low if I were to acquire him.
Nope, Matt Kemp hasn’t had any bad luck with balls not going over the fence, he’s simply not hitting them far enough. Last year he led all of baseball with a 313 foot average distance, so this is quite the decline. The offseason shoulder surgery he is returning from seems like the obvious culprit. His power is likely to progressively return, but who knows when that will be. Like Hamilton, unless I can buy him real low, I’m just staying away. At least he has five steals already, after stealing just nine bases last year in about three times the plate appearances.
If you were to look solely at Ian Kinsler’s historical home run totals, you would almost surely believe he was a power hittin’ second baseman. But that’s really not the case. His power is derived from his excellent contact rate and a ton of fly balls. His HR/FB rate is actually right around the league average. That’s of course decent considering his position, but his power really isn’t as good as it appears on the surface. In fact, Kinsler’s average distance has always sat around this mark, which makes me question how he even managed a league average HR/FB rate to begin with. But he has always done it, so if you’re an owner looking at his distance, there’s no reason to panic.
Ben Zobrist’s power has been pretty inconsistent through his career. His distance over the past three years has been right around 278 feet, which includes his 2010 season when his HR/FB rate was just 6.0%. If we had this distance data then, we would have confidently been able to forecast his HR/FB rate rebound the following season. The fear now with this current decline in distance is another sub-10% HR/FB rate could be on its way. Unfortunately, I don’t pretend to have the answer.
Andre Ethier’s power rebounded last year, but it’s MIA once again this season. His average distance has really bounced around since 2007 ranging from a low of 278 feet to a high of 303 feet. His fly ball rate is at a career high, so if he can manage to increase his distance and hit more of those fly balls over the wall, that could be very good for his rest of season home run output.
Last year, Justin Morneau gave us a glimmer of hope that his power was on the mend and maybe this year it would take another leap toward a full recovery. Well, that hasn’t happened. Injuries and a concussion have clearly taken a toll on his performance and he may never be the same hitter he once was, which is unfortunate.
Nick Swisher’s batted ball distance is a complete mismatch with his above average HR/FB rate. He dealt with shoulder soreness at the end of April and into early May, so it’s possible that has been the culprit behind his distance outage.
On yesterday’s episode of The Sleeper and the Bust, we took our first Twitter question that asked us about Paul Konerko. At the time, I hadn’t looked at the distance data, and now that’s yet another mark against him. Aging veterans are some of the hardest to project, especially if they get off to a slow start. You can never be sure if it’s just a standard slow start like any hitter could experience, or if it’s signaling the beginning of the end. I would still consider trying to buy low on him in AL-Only leagues, but he may very well be barely worth above replacement level in shallow mixed leagues for the rest of the season.
Mike Podhorzer is the founder of ProjectingX IQ, an advanced fantasy baseball analytics platform that transforms projection data and in-season performance signals into actionable intelligence. He 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.
Just wondering where those numbers actually come from. How accurate do you think they are? How precise? Do you really think the accuracy and/or precision warrants two decimal places in the numbers you quote?
I too wonder where this data comes from. I’ve looked around for it a lot but can’t seem to find it.
http://www.baseballheatmaps.com/graph/leaderboard.php
It shouldn’t be that precise on the page at BBHM. I think it was the default number display. I plan on making a change to the tables soon, so I will look at changing them later.
The original data is a x,y value and the trig involved add the decimal places.
The two decimal places is the “precision”, the “accuracy” is whether that given number is correct. Precise = being specific, Accurate = being correct.
I’d point out that the low average for Swisher appears to be only for his right-handed at-bats, and that hitting lefty, he ranks 37th on the list, with an average distance of 299.72 feet. It’s a touch confusing to separate a hitter’s results by handedness, though.
Similarly, it appears Zobrist hasn’t hit enough fly balls right-handed to qualify, so his average is really just the average distance of balls he’s hit left-handed.
Hamilton last week: .250/.300/.703. He’s back baby! Whatever he’s sick with, it’s helping.
Sick with playing the Astros?
Yeah, one of his 3 homers this week was a cheapie in Houston. I’s just joking around.
Kinsler is the perfect person to show you can’t just take this stat at face value. He has the power but he also loves to hit infield pop-ups (16% 2013; 12% career) which I’m sure is what destroys his average distance.
I was just contemplating that. Do these average flyball distances include IFFB? Do foul pops count as negatives then?
I’d really want to know the HR + OF FB avg distance. How far does it go when the ball was hit mostly well?
They shouldn’t include pop ups. They only include outfield fly balls and home runs.
The questions I posed earlier have not been answered. The link provided above (http://www.baseballheatmaps.com/graph/leaderboard.php) simply gives a list of the mean distances for each batter. It doesn’t tell us how those distances were measured or an estimate of either precision or accuracy. I am particularly skeptical that any distance has been determined to 0.01 ft, regardless of how the measurement was done. Without knowing these things, it is hard to take the analysis very seriously. As an example, how confident are you that Hamilton (268.24) really ranks ahead of Kemp (266.30) or for that matter Konerko (258.38)?
Yeah, especially if a guy hit a few fly balls in Denver giving each of those entries an extra few feet that the hitter’s not really responsible for. I think there’s a lot of noise in this stat.
That’s not relevant though unless a Rockies hitter switches teams and we want to estimate his true talent average distance. As long as he remains in Colorado, the thin air adding 10 feet of distance, for example, will continue to do so. Whether the hitter is responsible for it or not is moot.
@Mike, I know this is a week late and won’t ever be read, but what if it’s an away player whose team has played all of their @COL games for the season already? What if he’s hit 10 fly balls in Denver so far and has a near-0% chance of hitting another one there all year?
I get notified of all comments, so you’re in luck! Welll then, that old “small sample caveats apply here” comes into play as usual! Ballparks played in over a small sample is one of the reasons you can’t take these numbers too seriously this early.
Setting aside how unlikely it is that this is measured well, is there much evidence that even crude batted ball distance early in the season is predictive of anything?
I mean, it’s nice that we have this data, riddled with error though it likely is, but it would be interesting to know if it’s actually useful for anything or if we should basically take it with a grain of salt.
Based on my research earlier this season, distance has a relatively strong correlation with HR/FB rate. Whether distance itself stabilizes this early in the season isn’t known, but it’s not necessary to know. We’re not using it now as a predictive tool, but rather to validate what has happened already.
Ahh! Thank you! I (and I would guess lots of other people) don’t read every article on fangraphs, so it might be good to post that link every time you do one of these.
If you’re going to use it for validation, then I guess I would start with HR or HR% or HR/FB leaders and apply the ‘validation’ metric to that. Starting from the distance makes it seem like distance is measuring something more meaningful than I think it warrants given how speculative the association is. I like the idea, but there isn’t much to say that distance is much more ‘validating’ than previous HR/FB or HR%, no?
I also screwed up by forgetting to link yesterday’s article about distance leaders, which itself had links to all those previous articles! Well yeah, you could do it both ways and come up with different lists of players.
Sure. Sorry if I came off a bit brusque there. Nice work, and I hope the distance thing is a fruitful researchy avenue for you!
Since im sure these calculations are done via computer software, I have no problem believing that the precision is as far as the computer is programmed to calculate. The accuracy however would come down to classification issues i.e. “how is the distance measured?” is it from the center of home plate to the horzontal distance at which the ball is caught/stopped? is it an estimation of the final landing point of the ball based on trajectory and velocity? total distance travelled? total expected distance in a windless environment at sea level? the biggest issue I can see with the “accuracy” is the classification of IFFBs. As Mike just mentioned, the distance should not include IFFBs, but due to human classification it is possible that, for instance, a fly ball that travels 110 feet, leaves the infield, and is caught by the shortstop, could be classified either as an IFFB or an OFFB, this would obviously skew the average distance if the classifier was “wrong” or simply inconsistant. In order to find the error for each player, you would need the total size of their sample, and either the total size of the possibly disputed classifications, or an expected size of disputed classifications to use across the league… (like FIP vs xFIP) and then run your STDevs, this will give you the confidence in average FB distance for each player.
Again though, for just the OFFBs, im sure that they are both quite precise and quite accurate to their specifications.