Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Artoria vs Kazuya 257–220 53.88%
Artoria vs Jin 177–206–1 46.21%
Artoria vs King 183–187 49.46%
Artoria vs Bryan 171–188 47.63%
Artoria vs Reina 197–119 62.34%
Artoria vs Heihachi 151–141 51.71%
Artoria vs Steve 154–123 55.60%
Artoria vs Law 110–125 46.81%
Artoria vs Dragunov 103–123–1 45.58%
Artoria vs Lili 124–102 54.87%
Artoria vs Hwoarang 108–111 49.32%
Artoria vs Azucena 114–104 52.29%
Artoria vs Armor King 97–116 45.54%
Artoria vs Paul 90–106 45.92%
Artoria vs Lee 94–90 51.09%
Artoria vs Devil Jin 92–91 50.27%
Artoria vs Lars 92–89 50.83%
Artoria vs Yoshimitsu 88–88 50.00%
Artoria vs Lidia 74–97 43.27%
Artoria vs Xiaoyu 96–74 56.47%
Artoria vs Fahkumram 73–93 43.98%
Artoria vs Asuka 97–68 58.79%
Artoria vs Jun 96–66 59.26%
Artoria vs Clive 68–66 50.75%
Artoria vs Nina 63–63 50.00%
Artoria vs Eddy 60–61 49.59%
Artoria vs Leo 65–54 54.62%
Artoria vs Feng 58–56 50.88%
Artoria vs Alisa 56–57 49.56%
Artoria vs Miary Zo 45–65 40.91%
Artoria vs Victor 54–51 51.43%
Artoria vs Jack-8 51–52 49.51%
Artoria vs Claudio 47–48 49.47%
Artoria vs Leroy 49–45 52.13%
Artoria vs Raven 33–56–1 37.08%
Artoria vs Anna 46–35 56.79%
Artoria vs Shaheen 35–34 50.72%
Artoria vs Kuma 21–30 41.18%
Artoria vs Zafina 22–27 44.90%
Artoria vs Panda 8–11 42.11%

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.