Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
의자단의 망령

Ratings

의자단의 망령 vs Kazuya 341–251 57.60%
의자단의 망령 vs Dragunov 267–234 53.29%
의자단의 망령 vs Paul 229–209 52.28%
의자단의 망령 vs Bryan 174–262 39.91%
의자단의 망령 vs Hwoarang 260–167 60.89%
의자단의 망령 vs Jin 179–215 45.43%
의자단의 망령 vs Reina 186–184 50.27%
의자단의 망령 vs King 145–155–1 48.33%
의자단의 망령 vs Heihachi 140–124 53.03%
의자단의 망령 vs Steve 105–153 40.70%
의자단의 망령 vs Victor 125–98 56.05%
의자단의 망령 vs Devil Jin 111–105 51.39%
의자단의 망령 vs Claudio 96–113 45.93%
의자단의 망령 vs Law 89–112 44.28%
의자단의 망령 vs Asuka 91–109 45.50%
의자단의 망령 vs Lili 68–121 35.98%
의자단의 망령 vs Lidia 76–87 46.63%
의자단의 망령 vs Feng 75–77 49.34%
의자단의 망령 vs Azucena 80–72 52.63%
의자단의 망령 vs Lee 61–90 40.40%
의자단의 망령 vs Yoshimitsu 71–78 47.65%
의자단의 망령 vs Lars 73–76 48.99%
의자단의 망령 vs Clive 79–69 53.38%
의자단의 망령 vs Jun 58–81 41.73%
의자단의 망령 vs Leo 49–79 38.28%
의자단의 망령 vs Leroy 62–65 48.82%
의자단의 망령 vs Shaheen 57–67 45.97%
의자단의 망령 vs Jack-8 43–79 35.25%
의자단의 망령 vs Alisa 42–61 40.78%
의자단의 망령 vs Raven 29–53 35.37%
의자단의 망령 vs Nina 38–42 47.50%
의자단의 망령 vs Xiaoyu 26–53 32.91%
의자단의 망령 vs Fahkumram 31–45 40.79%
의자단의 망령 vs Kuma 21–44 32.31%
의자단의 망령 vs Eddy 23–37 38.33%
의자단의 망령 vs Armor King 32–24 57.14%
의자단의 망령 vs Anna 24–24 50.00%
의자단의 망령 vs Zafina 15–31 32.61%
의자단의 망령 vs Miary Zo 14–26–1 35.00%
의자단의 망령 vs Panda 6–14 30.00%

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.