Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Artifex vs Jin 323–379 46.01%
Artifex vs Kazuya 373–315–1 54.22%
Artifex vs Bryan 311–308 50.24%
Artifex vs King 306–222 57.95%
Artifex vs Dragunov 222–191 53.75%
Artifex vs Paul 189–191 49.74%
Artifex vs Hwoarang 177–184 49.03%
Artifex vs Yoshimitsu 207–146 58.64%
Artifex vs Heihachi 177–164 51.91%
Artifex vs Devil Jin 167–169 49.70%
Artifex vs Law 141–186 43.12%
Artifex vs Lee 137–163 45.67%
Artifex vs Steve 125–173 41.95%
Artifex vs Reina 132–121 52.17%
Artifex vs Lili 104–106 49.52%
Artifex vs Alisa 78–132 37.14%
Artifex vs Feng 67–140 32.37%
Artifex vs Lars 88–108 44.90%
Artifex vs Jack-8 71–114 38.38%
Artifex vs Victor 99–84 54.10%
Artifex vs Nina 60–112 34.88%
Artifex vs Azucena 99–67 59.64%
Artifex vs Jun 90–73 55.21%
Artifex vs Eddy 67–86 43.79%
Artifex vs Claudio 49–95 34.03%
Artifex vs Asuka 63–79 44.37%
Artifex vs Xiaoyu 57–60 48.72%
Artifex vs Leo 43–72 37.39%
Artifex vs Leroy 40–68 37.04%
Artifex vs Kuma 29–74 28.16%
Artifex vs Shaheen 38–57 40.00%
Artifex vs Anna 44–50 46.81%
Artifex vs Lidia 29–48 37.66%
Artifex vs Clive 43–34 55.84%
Artifex vs Zafina 32–42 43.24%
Artifex vs Armor King 27–32 45.76%
Artifex vs Raven 22–26 45.83%
Artifex vs Fahkumram 6–7 46.15%
Artifex vs Panda 2–9 18.18%
Artifex vs Miary Zo 4–6 40.00%

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.