Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Vandalist vs King 190–134 58.64%
Vandalist vs Jin 167–115 59.22%
Vandalist vs Kazuya 150–121 55.35%
Vandalist vs Dragunov 135–93 59.21%
Vandalist vs Bryan 109–92 54.23%
Vandalist vs Hwoarang 108–76 58.70%
Vandalist vs Paul 104–67 60.82%
Vandalist vs Heihachi 83–83 50.00%
Vandalist vs Feng 71–86 45.22%
Vandalist vs Steve 87–65 57.24%
Vandalist vs Devil Jin 91–61 59.87%
Vandalist vs Yoshimitsu 83–66 55.70%
Vandalist vs Law 89–50 64.03%
Vandalist vs Reina 76–61 55.47%
Vandalist vs Victor 79–49 61.72%
Vandalist vs Jack-8 69–49 58.47%
Vandalist vs Lars 65–47 58.04%
Vandalist vs Leroy 51–56 47.66%
Vandalist vs Eddy 64–39 62.14%
Vandalist vs Lee 48–54 47.06%
Vandalist vs Lili 64–36 64.00%
Vandalist vs Azucena 66–34 66.00%
Vandalist vs Claudio 58–35 62.37%
Vandalist vs Shaheen 58–35 62.37%
Vandalist vs Nina 51–41 55.43%
Vandalist vs Leo 47–43 52.22%
Vandalist vs Fahkumram 40–47 45.98%
Vandalist vs Armor King 49–31 61.25%
Vandalist vs Jun 45–31 59.21%
Vandalist vs Raven 44–29 60.27%
Vandalist vs Asuka 37–30 55.22%
Vandalist vs Alisa 36–30 54.55%
Vandalist vs Zafina 32–23 58.18%
Vandalist vs Kuma 34–16 68.00%
Vandalist vs Anna 24–20 54.55%
Vandalist vs Xiaoyu 17–21 44.74%
Vandalist vs Panda 14–15 48.28%
Vandalist vs Lidia 12–16 42.86%
Vandalist vs Clive 1–6 14.29%

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.