Monday, November 29, 2010
Gameday slice bias
How much is the hit location biased based on where a fielder is normally positioned? The following is a starting point, and as a result, will use a crude estimate.
From 1B to 3B line is 90 degrees. The circumference of a circle is 2PI*r, or PI*r/2 for a quarter circle. If we treat the radius as around 115 feet (meaning a spot somewhere between the 1B/3B bags and the 2B bag), then the distance from 1B to 3B bags, along a circular path is 180 feet. Or, 1 degree = 2 feet. I know it’s not a circle, but, we just need crude approximations.
Also remember that a SS / 2B are positioned around -16 / +16 degrees, where 0 degrees is 2B.
Peter provided us with this data from HITf/x (FX) and GameDay (GD), based on spray angles in 4 degree slices:
Spray FX GD rate
-44 107 61 175%
-40 244 134 182%
-36 253 297 85%
-32 309 389 79%
-28 306 458 67%
-24 316 347 91%
-20 369 382 97%
-16 312 429 73%
-12 339 300 113%
-8 328 218 150%
-4 329 204 161%
0 314 246 128%
4 291 180 162%
8 322 156 206%
12 305 214 143%
16 280 377 74%
20 293 455 64%
24 260 276 94%
28 234 314 75%
32 208 293 71%
36 205 248 83%
40 149 130 115%
44 85 55 155%
rate is FX / GD.
We see that at -16 (meaning -14 to -18 degrees), groundballs are recorded by Gameday far more frequently than HITf/x is recording. We see an enormous bias in the holes as well.
Now, let’s try an experiment. Let’s say that the Gameday scorers agree with HITf/x perfectly on half of the batted ball locations, and are off by 4 degrees (8 feet) on the other half? Let’s start with the 314 balls up the middle (-2 to +2 degrees). Gameday marks 157 of those up the middle, and for the other 157 record half to the left (-6 to -2) and half to the right (+2 to +6).
At the -4 degrees (-6 to -2), HitF/x had 329 balls, of which half Gameday agrees with, and the other half are all more toward the SS side (at -8 degrees).
So, this is what we have at -4 degrees as per Gameday:
164.5 balls that HITf/x marked at -4 degrees
78.5 balls that HITf/x marked at 0 degrees
That’s a total of 243 balls marked by Gameday at -4 degrees under this illustration, compared to the 329 actally recorded by HITf/x… but still a far away from the 204 actually recorded by Gameday.
The same thing happens at -8 degrees: of the 328, 164 are properly marked by Gameday, the rest are marked toward the SS side (at -12 degrees). And we go on until we get to -20 degrees, where the shift happens toward the 2B bag. This is the result of all that:
Spray FX GD rate Tango rate
-44 107 61 175% 53.5 88%
-40 244 134 182% 175.5 131%
-36 253 297 85% 248.5 84%
-32 309 389 79% 281.0 72%
-28 306 458 67% 307.5 67%
-24 316 347 91% 311.0 90%
-20 369 382 97% 498.5 130%
-16 312 429 73% 510.0 119%
-12 339 300 113% 333.5 111%
-8 328 218 150% 328.5 151%
-4 329 204 161% 243.0 119%
0 314 246 128% 157.0 64%
4 291 180 162% 224.0 124%
8 322 156 206% 322.0 206%
12 305 214 143% 305.0 143%
16 280 377 74% 426.5 113%
20 293 455 64% 423.0 93%
24 260 276 94% 247.0 89%
28 234 314 75% 221.0 70%
32 208 293 71% 206.5 70%
36 205 248 83% 177.0 71%
40 149 130 115% 117.0 90%
44 85 55 155% 42.5 77%
My illustration here shows that my model bridges some of the gap. The standard deviation of the original FX/GD is 42%, while the Tango/GD is 34%.
And trying different inputs didn’t make much better difference. If I treat anything between 50% and 75% of the HITf/x data as being perfectly recorded by Gameday, the remain balls in play are about 4 degrees (about 8 feet) biased toward where the fielder is positioned.
I think we can try to construct a more elaborate model, and we’ll probably end up at the following: about half the data from Gameday will match HITf/x, and the other half will be off by 2 to 8 degrees (4 to 16 feet). The amount it will be off will be biased by either where a fielder is normally positioned, or whether a play was made or not, or how much space between fielders (the holes).
This is the framework I’m proposing. Implementations will vary.


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