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Target Shooter 1

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eplicated on the rifle range.<br />

The moral is that a slight BC<br />

advantage does not in itself<br />

guarantee a superior score! Just<br />

look at the simulated ‘match<br />

score’ spread for any given<br />

bullet – up to 17 points difference<br />

(out of a possible 200), yet the<br />

difference between the best and<br />

worst ballistic performers is only<br />

4 points over 100 ‘matches’ when<br />

scores are averaged. The take<br />

away from this exercise is that<br />

although the higher BC bullets do<br />

stand to produce slightly higher<br />

scores on average, they don’t<br />

radically alter the limitations<br />

intrinsic to TR and Fullbore<br />

shooting – 155gn 0.308” bullets at<br />

around 3,000 fps MV.<br />

Let’s look at performance from<br />

a different but complementary<br />

angle. If the wind uncertainty is<br />

modelled as +/- 1.5 mph<br />

instead of +/- 2.0 mph, the<br />

average score for every bullet<br />

goes up four points. In other<br />

words, if the shooter or coach<br />

can refine his or her ability to read<br />

the wind by only 0.5 mph that<br />

makes as much difference to the<br />

average score as switching from<br />

the lowest BC bullet to the highest.<br />

Figure 5 slightly inferior bullet<br />

because of the<br />

statistical nature of<br />

error. Also note that average scores drop from<br />

192 to 191, then 190 for the best performers<br />

in descending order as you’d expect, but then<br />

apparently perversely go back up to 191 for the<br />

PMP bullet, before falling again to 188 for the<br />

two ‘poorest’ designs. This is another symptom<br />

of the statistical nature of the uncertainties we<br />

encounter in target shooting, and is likely to be<br />

F/TR Class<br />

The above analysis was geared<br />

specifically to the US NRA LR<br />

prone target with a 10” X-ring,<br />

20” 10 ring, etc, but the F-class<br />

target has smaller inner rings.<br />

It’s obvious that their reduced<br />

size increases sensitivity to small<br />

errors. For example, a shot that’s<br />

a solid 10 on the prone target may be a 9 on the<br />

F-class target. So the question is; how much<br />

more sensitive is the F-class target to a difference<br />

in ballistic performance compared to the prone<br />

target? Common sense suggests that<br />

you should be able to resolve a bigger<br />

advantage in score for a given ballistic performance<br />

advantage, but how much? Again, I’ll turn to<br />

modelling (Figure 5). For this simulation, we’ll<br />

consider the shooter/coach to have the same<br />

<strong>Target</strong> <strong>Shooter</strong> 63

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