Wheeler's Fly Ball Distances
The statistical quirks of Dan Wheeler is that he has had an insanely low BABIP the past two seasons, is an excellent ROOGY, and is an extreme fly ball pitcher (third highest fly ball percentage among relievers in 09 at 55.9%). With all of those fly balls, comes home runs. A 1.72 HR/9 rate gives his 5 K/BB a bad name (that equals a 4.48 FIP). For a quick analysis into Wheeler's fly balls, we can use Gameday to find out how far these fly balls are going using the hit location data (Many thanks to Dave Allen and Peter Jensen).
I divided up the distances into three categories: all fly balls, fly balls minus home runs, and fly balls minus home runs and infield fly balls.
| Rank | Distance (ft) | |
| Fly balls | 22nd | 295 |
| Fly balls in play | 18th | 284 |
| Outfield Flyballs in play | 6th | 304 |
Not good. Although Andy Sonnanstine was ahead of Wheeler in two categories so Wheeler is worst in the league or anything. But on a good note, Rafael Soriano was around the bottom for all three categories so he had a plus-plus season.
Why did I pick Wheeler? Because this was originally going to be a piece about his BABIP and using pitch f/x to analyze it. But I found this bit about fly ball distances much more intriguing and I am sure you the reader will too.
So here is a table of the Rays pitchers and their average distance on all fly balls (with at least 65 fly balls).
| Distance (ft) | |
| Sonnanstine | 300 |
| Cormier | 289 |
| Price | 287 |
| Shields | 284 |
| Garza | 279 |
| Balfour | 277 |
| Niemann | 276 |
| Soriano | 261 |
Soriano is a beast. He is between Tim Wakefield and Tommy Hanson for the second least average distance. I am interested to where Niemann's average would be since his is so low.
Going back to Wheeler, the breakdown of average fly ball distance by pitch type is as follows in the table.
| Pitch | # | Distance (ft) |
| Splitter | 8 | 325 |
| Fastball | 40 | 305 |
| Curve | 6 | 303 |
| Slider | 26 | 269 |
Small sample size for his split and curve but the fastball is not necessarily a good pitch to be hit into play. Overall, Wheeler's fastball has a positive run value over the seven years Fan Graphs has data for.
That's it. Wheeler in my opinion (which changed with pitch f/x last year) is a good pitcher. Except for the fact that can make Rays fans cover their eyes every time an opposing hitter hits the baseball off of him.
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Wheeler is what he is
A decent middle reliever who has a tendency to give up a big-fly.
The biggest reason most of us would like to see him elsewhere is that he’s the 2nd highest paid pitcher on the team (starters included) despite being the 4th or 5th best reliever.
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by Tommy Rancel on Feb 26, 2010 8:24 AM EST via mobile reply actions
this one is clear as crystal
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by RZ on Feb 26, 2010 1:44 PM EST up reply actions
I don't know how I didn't see it before, but thanks for pointing it out
Nice work RZ, do you have a feel for any sorts of tendencies? I.E. relievers being naturally better or ground ball pitchers being more likely to give up longer fly balls?
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by Andy Hellicksonstine on Feb 26, 2010 1:50 PM EST up reply actions
There might be a correlation
The numbers I have seem kind of funny. A lot of Orioles pitchers are on the top of the list in the averages and a lot of Braves pitchers are on the bottom.
Mariano Riveria had the lowest average distance in the past two seasons for batted balls in the air so I’m sure a pitcher has a lot of control over it.
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by RZ on Feb 26, 2010 4:33 PM EST up reply actions
Maybe there's a data collection bias between parks?
If that isn’t just stating the obvious…
by ChiBurbRaysFan on Feb 26, 2010 6:20 PM EST up reply actions
There could be a bias
but I figured out the distance factors in my database are messed up.
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by RZ on Feb 26, 2010 9:32 PM EST up reply actions
Do you think you could do a Year to year correlation testing of each pitcher's average FB distances?
I’d like to see how much of a skill this is.
how did you parse the Gameday data
to get flyball distance?
Gameday has the hit location data.
Although I should have wrote it in the post but the MLB stringers chart the location where the batted ball was fielded so technically it should be called fielded location.
After I have all the data in MySQL, I just use Peter Jensen’s factors to normalize the data and get some approximate distances.
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