Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

twoness vs Dragunov 31–44 41.33%
twoness vs Reina 26–40 39.39%
twoness vs Hwoarang 25–27 48.08%
twoness vs King 18–31 36.73%
twoness vs Jin 27–22 55.10%
twoness vs Victor 16–29 35.56%
twoness vs Kazuya 22–16 57.89%
twoness vs Jun 14–23 37.84%
twoness vs Azucena 12–23 34.29%
twoness vs Paul 20–13 60.61%
twoness vs Yoshimitsu 16–16 50.00%
twoness vs Bryan 14–14 50.00%
twoness vs Asuka 18–9 66.67%
twoness vs Lili 8–19 29.63%
twoness vs Eddy 11–11 50.00%
twoness vs Leo 11–6 64.71%
twoness vs Steve 3–13 18.75%
twoness vs Devil Jin 7–8 46.67%
twoness vs Lars 7–8 46.67%
twoness vs Alisa 7–8 46.67%
twoness vs Feng 3–11 21.43%
twoness vs Xiaoyu 7–6 53.85%
twoness vs Raven 3–8 27.27%
twoness vs Shaheen 5–3 62.50%
twoness vs Law 4–2 66.67%
twoness vs Claudio 1–5 16.67%
twoness vs Jack-8 2–3 40.00%
twoness vs Kuma 2–3 40.00%
twoness vs Leroy 3–2 60.00%
twoness vs Nina 0–4 0.00%
twoness vs Panda 2–1 66.67%
twoness vs Zafina 3–0 100.00%
twoness vs Heihachi 0–2 0.00%
twoness vs Lee 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.