Louisville Top 8 Decks and Meta Analysis!

Louisville Top 8 Decks and Meta Analysis!

OmniPoke

5 дней назад

2,648 Просмотров

Ссылки и html тэги не поддерживаются


Комментарии:

@liamsmusic8708
@liamsmusic8708 - 16.10.2024 01:44

No comments 15 mins bro fell off

Ответить
@the12gage37
@the12gage37 - 16.10.2024 01:52

That PokeHive data is pretty sick

Ответить
@capn206
@capn206 - 16.10.2024 01:56

Pokehive data is cool. I think a comparison between those and trainerhill data would be good to show general trends rather than strict numbers

Ответить
@TeamAbra87
@TeamAbra87 - 16.10.2024 16:04

I'm personally a huge fan of the Pokehive data. Trainer Hill is also a great resource, but I get really granular with my parameters (using the last 10-14 days to include the most recent innovations, 100+ player tournaments, and top 50/25% placements). I'd be curious to see if there are any major differences between the data, and if that tells us anything about matchup spreads or techs. Love these videos!!

Ответить
@richardyannow650
@richardyannow650 - 16.10.2024 23:16

I'm gonna dissent from the other comments and say you should absolutely use TrainerHill data if the Pokehive data is that thin. We're looking at only a few games per matchup. We know that in all but the most extreme matchups, the true distribution is somewhere between 40/60 and 60/40, but if we only have 5 games per matchup, we'll get a ton of times where a matchup shows up as 80/20 or more extreme, or where a matchup that's actually favored one way shows up as 40/60 the other way. The percentages are going to swing wildly week-to-week, and that random variation totally overwhelms the signal when the true data is so close together.

Compare the Drago chart for Dortmund + Joinville to the same chart for Louisville, for example. Same format, pretty similar lists, so I'd expect few changes in the results. On Pokehive, 2 weeks earlier, Drago had a 28% win rate into BoltPon; this weekend, it was 52%. It had been 53% into Lugia; this weekend it was 25%. It went from 58% into Snorlax Stall to 42%. It went from 61% into Dragapult to 83%. From 56% into Terapagos to 72%. For the most part, it's not list changes causing this; it's just random variation. Charts with 15 or fewer matches going into the data for each deck pair just won't be refined enough to get the true distribution.

If you flipped a fair coin 15 times, you'd get a 7-8 split 39% of the time; the other 61% of the time, you've come away with data that says heads or tails is a 60/40 favorite or greater. Over 30% of the time, you come away saying it's 67-33 or more extreme. This is something we know is 50/50, and our data just doesn't have the power to tell us that.

Ответить
@68stapler
@68stapler - 17.10.2024 12:13

useful and helpful as always, PokeHive data looks interesting, why not report both.

Ответить
@DasFaultierSDS
@DasFaultierSDS - 17.10.2024 12:27

pokehive data is very cool and nice to look at. thank you for these videos, you're amazing!

Ответить