To the extent you have told us Oratory creates his EQ using his ears, then cognitive bias and other nuisance variables like him being in headphone business (and liking what they design) will loom large with him. So if you want controlled results, you don't have it in him.
As for "smoothing" the results, here are his AKG K371 filters:
View attachment 109247
Are you kidding me? Q of 0.71? Not 0.7, but 0.71??? You really think he could reliably tell the difference in a controlled test between Q of 0.71 on that high shelf and 0.7? Research shows our sensitivity there to be a few dBs, not one hundredth of a dB.
All of his filters have too much precision. Look at all the ones with gain of -1.9. Or 1.8. These are all like someone sticking a wet thumb in the air and saying the temperature is 33.1 degree!
These look mechanically created to me. I can't imagine him sitting there and futzing with 0.1 Q variations and arriving at anything valid. The amount of time it would take to develop such would be huge anyway.
Look at my EQ for example of perceptually created filters using measurements as guide:
See how there are no fractions on the Q factors? And how few filters there are?
I can guarantee you that my 3 and 4 dB corrections above are audible to all sighted or blind. The 1.5 dB one is tougher and you could leave it out if you like. There is no way you can say that about his filters as I explained above.
Are we to believe that with all their research, Harman created the K371 to need 9 filters to match their preference target as Oratory created? Doesn't pass the smell test, does it?
BTW, there are also side-effects from these filters in that not all implementations do what you see in the pretty graphs. Filters can have overshoot before and after that is not visible in the UI. This is another danger in auto-generating filters.
Bottom line is what I said:
he is over filtering because he is chasing a mechanical target with measurements that are too variable to justify such. Averaging a few headphones doesn't help in that regard because each measurement is variable in itself. What helps is understanding the nature of variability and making proper judgement in developing filters as I try to do (using psychoacoustics and strict listening protocols).