Hey guys, I did some maths!!! By the time I was done calculating, I wasn't entirely positive...what....I just calculated. But I'm pretty sure that I calculated the

**probability that a given pokemon in a battle will be in a given speed tier**. Except I did it badly, and the math is fallacious rounding. But it took too long for me not to post, and it still succeeds in giving a general idea of the speediness of last months Pokebank OU. Just not a very precise view.

View attachment 5120
this graph uses increments of 31-40, 41-50, etc. With the exception of the first interval in which the only pokemon is Ferrothorn at base 20.

For those interested, this is a breakdown that I did not graph which uses cut offs that are more pointed. Generally it will have a few mons that are on random speeds and cut off on a cluster point which will constitute half or more of the entire speed tier. Except 81-90 which owes most of its usage to rotom and excadrill and had no convenient place to end it so I just stuck with 90.

20-50: 14% 51-65: 10% 66-70: 6% 71-77: 7%

80: 7% 81-90: 14% 91-100: 17% 101-108: 7%

110: 7% 111-120: 4% 121-126: 9.4%

This does not take into account scarfers, differing EV spreads and the change in speed of any mega except MegaKanga. Which it turns out there weren't even a lot of. Gonna be some megas trickling down to the lower tiers that are awful powerful. It completely omits Sableye and Klefki as their speed is almost never relevant, and uses data that goes down to Jirachi at 3.18% usage.

Thoughts? Anything surprising in this?