Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
token

Ratings

token vs Kazuya 12–14 46.15%
token vs Heihachi 11–15 42.31%
token vs King 8–17 32.00%
token vs Reina 10–12 45.45%
token vs Lili 5–13 27.78%
token vs Jin 5–11 31.25%
token vs Eddy 4–10 28.57%
token vs Bryan 6–7 46.15%
token vs Steve 5–8 38.46%
token vs Hwoarang 6–6 50.00%
token vs Clive 4–8 33.33%
token vs Asuka 5–6 45.45%
token vs Jun 7–3 70.00%
token vs Lidia 4–6 40.00%
token vs Kuma 4–5 44.44%
token vs Xiaoyu 5–3 62.50%
token vs Azucena 5–3 62.50%
token vs Feng 3–4 42.86%
token vs Law 4–2 66.67%
token vs Victor 3–3 50.00%
token vs Yoshimitsu 3–2 60.00%
token vs Devil Jin 3–1 75.00%
token vs Claudio 2–2 50.00%
token vs Paul 3–0 100.00%
token vs Dragunov 0–3 0.00%
token vs Alisa 2–1 66.67%
token vs Raven 0–3 0.00%
token vs Leo 2–0 100.00%
token vs Shaheen 0–2 0.00%
token vs Panda 2–0 100.00%
token vs Lars 0–1 0.00%
token vs Lee 1–0 100.00%
token vs Leroy 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.