A Statistical Treatment of Bans?

TL;DR - I found this site last summer, and I expected it to surge in popularity a lot more than it has. I find it useful, check it out.

Since there's talk about how/why people ban what, I thought I would offer a picture of a subset of League's playerbase that attempts to actually treat bans statistically. This site became incredibly useful to me when pick intent was incorporated into champ select. Before that, banning the strongest champs meant that you might keep your own team from playing them, too. Now, you know if you're going to do that or not (at least, you could if anyone actually used pick intent)!

For those of you that don't want to go research yourselves, the idea is, basically, that you don't just ban what wins a lot in League. You maximize your chances to win if you ban strong champs with a high pick rate. To be likely that you will lose to a champ, compared to other champs, it needs to have both, and that is what the "influence" number attempts to reflect. You can sort the champs on this site by many other things, such as win rate or pick rate, according to the tables below.

I find that this is useful because it allows you to help your team without needing to know what's hard for YOU to play against. I personally have no problem playing against blitz, but it seems like other people in my tier do, so I ban him without hesitation now (if the other 3 people before him are already banned). It's more useful than sites like champion.gg for ban phase, simply because the data is separated by tier. That way, you don't have your opinion muddled by what is strong in diamond. Sometimes it's different, sometimes it's remarkably similar.

Thoughts, anyone?