Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

mimimi vs Bryan 600–384 60.98%
mimimi vs Asuka 497–265 65.22%
mimimi vs Dragunov 455–282 61.74%
mimimi vs Steve 376–294 56.12%
mimimi vs Kazuya 370–272–1 57.63%
mimimi vs King 350–249 58.43%
mimimi vs Lili 358–214 62.59%
mimimi vs Claudio 351–214 62.12%
mimimi vs Alisa 371–178 67.58%
mimimi vs Reina 301–246 55.03%
mimimi vs Hwoarang 275–271 50.37%
mimimi vs Yoshimitsu 341–202 62.80%
mimimi vs Jin 321–222 59.12%
mimimi vs Paul 295–224 56.84%
mimimi vs Lee 288–214 57.37%
mimimi vs Jack-8 266–235 53.09%
mimimi vs Lars 285–203 58.40%
mimimi vs Feng 272–212 56.20%
mimimi vs Law 298–182 62.08%
mimimi vs Nina 272–204 57.14%
mimimi vs Heihachi 236–229 50.75%
mimimi vs Shaheen 268–185 59.16%
mimimi vs Victor 255–193 56.92%
mimimi vs Eddy 263–160 62.17%
mimimi vs Leo 256–145 63.84%
mimimi vs Xiaoyu 214–141 60.28%
mimimi vs Raven 199–154 56.37%
mimimi vs Jun 211–137 60.63%
mimimi vs Zafina 205–141 59.25%
mimimi vs Azucena 190–148 56.21%
mimimi vs Clive 201–133 60.18%
mimimi vs Devil Jin 193–125 60.69%
mimimi vs Lidia 167–127 56.80%
mimimi vs Leroy 160–127 55.75%
mimimi vs Anna 108–88 55.10%
mimimi vs Fahkumram 101–84 54.59%
mimimi vs Armor King 83–85 49.40%
mimimi vs Panda 94–69 57.67%
mimimi vs Miary Zo 79–70 53.02%
mimimi vs Kuma 88–51 63.31%

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.