Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
내코노에범벅이되어죽어라

Ratings

내코노에범벅이되어죽어라 vs Hwoarang 224–171 56.71%
내코노에범벅이되어죽어라 vs Dragunov 203–186 52.19%
내코노에범벅이되어죽어라 vs Kazuya 173–158 52.27%
내코노에범벅이되어죽어라 vs Bryan 158–159 49.84%
내코노에범벅이되어죽어라 vs Jin 169–130 56.52%
내코노에범벅이되어죽어라 vs King 141–143 49.65%
내코노에범벅이되어죽어라 vs Steve 150–127–1 54.15%
내코노에범벅이되어죽어라 vs Heihachi 136–130 51.13%
내코노에범벅이되어죽어라 vs Lili 116–125 48.13%
내코노에범벅이되어죽어라 vs Paul 115–125 47.92%
내코노에범벅이되어죽어라 vs Asuka 114–123 48.10%
내코노에범벅이되어죽어라 vs Law 115–114 50.22%
내코노에범벅이되어죽어라 vs Lars 118–107 52.44%
내코노에범벅이되어죽어라 vs Reina 121–90 57.35%
내코노에범벅이되어죽어라 vs Devil Jin 94–110 46.08%
내코노에범벅이되어죽어라 vs Victor 94–108 46.53%
내코노에범벅이되어죽어라 vs Yoshimitsu 94–106 47.00%
내코노에범벅이되어죽어라 vs Lee 100–96 51.02%
내코노에범벅이되어죽어라 vs Feng 93–102 47.69%
내코노에범벅이되어죽어라 vs Claudio 107–88 54.87%
내코노에범벅이되어죽어라 vs Nina 97–92 51.32%
내코노에범벅이되어죽어라 vs Azucena 84–103 44.92%
내코노에범벅이되어죽어라 vs Eddy 92–81 53.18%
내코노에범벅이되어죽어라 vs Jack-8 82–90 47.67%
내코노에범벅이되어죽어라 vs Lidia 84–75 52.83%
내코노에범벅이되어죽어라 vs Alisa 73–84 46.50%
내코노에범벅이되어죽어라 vs Clive 71–84 45.81%
내코노에범벅이되어죽어라 vs Xiaoyu 82–68 54.67%
내코노에범벅이되어죽어라 vs Jun 72–76 48.65%
내코노에범벅이되어죽어라 vs Raven 65–73 47.10%
내코노에범벅이되어죽어라 vs Shaheen 73–64 53.28%
내코노에범벅이되어죽어라 vs Armor King 54–68 44.26%
내코노에범벅이되어죽어라 vs Leroy 63–55 53.39%
내코노에범벅이되어죽어라 vs Leo 43–74 36.75%
내코노에범벅이되어죽어라 vs Fahkumram 43–55 43.88%
내코노에범벅이되어죽어라 vs Zafina 44–38 53.66%
내코노에범벅이되어죽어라 vs Anna 35–47 42.68%
내코노에범벅이되어죽어라 vs Kuma 39–42 48.15%
내코노에범벅이되어죽어라 vs Panda 19–19 50.00%
내코노에범벅이되어죽어라 vs Miary Zo 0–1 0.00%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.