Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Vern0n vs Jin 453–375 54.71%
Vern0n vs King 409–406 50.18%
Vern0n vs Bryan 380–411 48.04%
Vern0n vs Hwoarang 396–339 53.88%
Vern0n vs Law 354–324 52.21%
Vern0n vs Steve 326–350 48.22%
Vern0n vs Lars 354–319 52.60%
Vern0n vs Lili 256–302 45.88%
Vern0n vs Kazuya 284–268 51.45%
Vern0n vs Paul 258–270 48.86%
Vern0n vs Yoshimitsu 264–243 52.07%
Vern0n vs Reina 281–187 60.04%
Vern0n vs Feng 213–240 47.02%
Vern0n vs Eddy 229–218 51.23%
Vern0n vs Lee 210–236 47.09%
Vern0n vs Dragunov 215–230 48.31%
Vern0n vs Azucena 233–208 52.83%
Vern0n vs Nina 233–177 56.83%
Vern0n vs Devil Jin 205–195 51.25%
Vern0n vs Jun 186–207 47.33%
Vern0n vs Victor 189–200 48.59%
Vern0n vs Xiaoyu 212–173 55.06%
Vern0n vs Raven 218–162 57.37%
Vern0n vs Leo 175–185 48.61%
Vern0n vs Anna 183–165 52.59%
Vern0n vs Zafina 195–145 57.35%
Vern0n vs Asuka 159–179 47.04%
Vern0n vs Jack-8 156–158 49.68%
Vern0n vs Alisa 146–165 46.95%
Vern0n vs Claudio 164–141 53.77%
Vern0n vs Leroy 158–128 55.24%
Vern0n vs Heihachi 121–143 45.83%
Vern0n vs Shaheen 125–135 48.08%
Vern0n vs Armor King 97–100 49.24%
Vern0n vs Kuma 69–109 38.76%
Vern0n vs Lidia 86–86 50.00%
Vern0n vs Fahkumram 85–83 50.60%
Vern0n vs Panda 61–52 53.98%
Vern0n vs Clive 42–57 42.42%
Vern0n vs Miary Zo 42–47 47.19%

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.