Read moreYeah I have no idea how to account for any of that. There’s no proper mathematical way of doing so. That’s why pro play shouldn’t be on the chart at all.
BUT that doesn’t mean that the chart itself is useless. If done correctly, I actually think your analysis has the beginnings of actually statistically correct analysis that can provide meaningful insights for the pro scene as well as soloq in general.
The best way of approaching this IMO would be to keep soloq analysis as soloq, and then draw conclusions from soloq as to new possible strategies and in what contexts they could be good for pro.
From the conclusions you draw from soloq, you can then form hypotheses as to what new strategy (champ/build/rune) might be OP. You then can test these hypotheses in customs in-house and in scrims.
If a strategy passes all these tests and then doesn’t perform well on stage, it doesn’t necessarily mean you were wrong (low srs he sample size). But it could mean...
It makes perfect sense and I agree with virtually everything you wrote.
At the end of the day, it'd be great if teams could test everything. Certainly, it's wise for them to at least test promising candidates. But ultimately they just can't. There just isn't enough time to hypothesis test everything in League of Legends. There are 5.9 * 1021 possible team compositions. Good luck getting enough data on each one.
So by necessity you have to cut corners. You have to go more general. There are billions of possible drafts after the first six bans and a first pick Rumble. No team in the world has accounted for all the possible mid/jungle matchups by the time they made that pick. So I think to some degree a rigorous testing regimen is just not possible anyway, so don't try to hold anything to that standard.
This isn't to say you shouldn't practice anything. Of course your should. But you realistically can't VoD review every game of every champion you pla...
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