I would like to see the math that supports this claim. AFAIK, there aren't any published pull rates for anything, not how many GXs every X packs, not how many SRs every Y packs, not how many commons every Z packs, no nothing at all.
In other words, you do not have any data that can be used as a grounds for comparison. You don't have enough data to establish the exact pull rates of the packs in either real life or in the virtual game.
How much data would be considered sufficient for the Law of the Large Numbers to apply depends on the number of total possibilities. For coin tosses, 30 coins would be sufficient to identify if the coin is fair within a reasonably small margin of error. But for pull rates though, 30 packs is nowhere close to enough data. Keep in mind that for coin flips the result is binary, meaning only 2 possible outcomes. For pull rates, there are millions and millions of possible unique 10 card combinations. Just so you have an idea, there are over 8x1014 possible 10 card combinations assuming you can pull a maximum of 1 rare or higher card per pack. Then, there's a high chance that the cards that are rare or higher don't have equal pull rates, where the actual numerical pull rates of each one cannot be determined through theory. So, you'd need a significantly large amount of data to determine anything that comes close to the true pull rates with a margin of error that isn't ridiculously large.
Realistically, the only way to determine pull rates empirically is to gather the data of thousands of opened packs, which would have to be gathered from hundreds or thousands of different people since it's unlikely that a single person will open that many packs of any given pack. Keep in mind too that this is keeping the type of pack as a controlled variable, since pull rates in 1 pack don't necessarily apply to a different one.
After ALL of that, you still have to consider, like I said a little earlier. that we don't have any theoretical pull rates that we can compare to either, so even if we collected a lot of data, it'd be impossible to know if those detailed pull rates we calculated are accurate or not.
Simply put, you cannot hope to make a 30 (or anything close to that) pack sample size representative of the millions of possible combinations. The most likely answer (albeit without an absolute degree of certainty) is that you were unlucky, plain and simple.
Edited by Sakura150612, 03 November 2018 - 08:08 PM.