Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

zero vs King 72–66 52.17%
zero vs Reina 60–54 52.63%
zero vs Jin 59–51 53.64%
zero vs Kazuya 54–52 50.94%
zero vs Bryan 43–52 45.26%
zero vs Steve 51–44 53.68%
zero vs Lili 44–42 51.16%
zero vs Hwoarang 38–46 45.24%
zero vs Law 33–48 40.74%
zero vs Jun 33–47 41.25%
zero vs Yoshimitsu 26–44 37.14%
zero vs Eddy 26–37 41.27%
zero vs Dragunov 24–38 38.71%
zero vs Lars 20–33 37.74%
zero vs Nina 31–22 58.49%
zero vs Lee 26–27 49.06%
zero vs Paul 27–22 55.10%
zero vs Leo 29–20 59.18%
zero vs Victor 20–27 42.55%
zero vs Xiaoyu 17–27 38.64%
zero vs Asuka 24–20 54.55%
zero vs Azucena 21–22 48.84%
zero vs Devil Jin 14–22 38.89%
zero vs Alisa 11–21 34.38%
zero vs Jack-8 15–14 51.72%
zero vs Feng 11–18 37.93%
zero vs Claudio 14–13 51.85%
zero vs Lidia 10–12 45.45%
zero vs Raven 9–12 42.86%
zero vs Shaheen 9–11 45.00%
zero vs Kuma 2–16 11.11%
zero vs Leroy 7–10 41.18%
zero vs Zafina 4–8 33.33%
zero vs Panda 2–4 33.33%
zero vs Heihachi 0–1 0.00%

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.