Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

mngz vs Jin 84–116 42.00%
mngz vs Kazuya 77–108 41.62%
mngz vs Reina 64–75 46.04%
mngz vs King 46–71 39.32%
mngz vs Hwoarang 42–69 37.84%
mngz vs Lili 47–56 45.63%
mngz vs Paul 40–61 39.60%
mngz vs Steve 39–59 39.80%
mngz vs Bryan 36–57 38.71%
mngz vs Dragunov 45–47 48.91%
mngz vs Law 37–47 44.05%
mngz vs Asuka 37–36 50.68%
mngz vs Yoshimitsu 30–40 42.86%
mngz vs Azucena 36–32 52.94%
mngz vs Lee 28–36 43.75%
mngz vs Nina 28–35 44.44%
mngz vs Devil Jin 33–29 53.23%
mngz vs Eddy 26–33 44.07%
mngz vs Victor 26–30 46.43%
mngz vs Jun 17–38 30.91%
mngz vs Lars 25–26 49.02%
mngz vs Xiaoyu 29–19 60.42%
mngz vs Feng 21–26 44.68%
mngz vs Alisa 20–27 42.55%
mngz vs Jack-8 12–28 30.00%
mngz vs Leo 20–19 51.28%
mngz vs Lidia 10–23 30.30%
mngz vs Kuma 9–17 34.62%
mngz vs Leroy 14–11 56.00%
mngz vs Raven 7–16 30.43%
mngz vs Claudio 8–13 38.10%
mngz vs Shaheen 7–12 36.84%
mngz vs Zafina 8–10 44.44%
mngz vs Panda 3–8 27.27%

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.