Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

M3thodic vs Kazuya 39–60 39.39%
M3thodic vs Jin 43–51 45.74%
M3thodic vs Reina 47–34 58.02%
M3thodic vs King 29–38 43.28%
M3thodic vs Lidia 32–34 48.48%
M3thodic vs Bryan 31–32 49.21%
M3thodic vs Jun 23–35 39.66%
M3thodic vs Law 23–33 41.07%
M3thodic vs Dragunov 22–34 39.29%
M3thodic vs Steve 25–22 53.19%
M3thodic vs Alisa 18–29 38.30%
M3thodic vs Lili 22–24 47.83%
M3thodic vs Yoshimitsu 20–23 46.51%
M3thodic vs Hwoarang 21–19 52.50%
M3thodic vs Asuka 19–19 50.00%
M3thodic vs Paul 26–11 70.27%
M3thodic vs Heihachi 18–17 51.43%
M3thodic vs Lars 18–16 52.94%
M3thodic vs Lee 15–19 44.12%
M3thodic vs Feng 13–19 40.62%
M3thodic vs Azucena 14–15 48.28%
M3thodic vs Devil Jin 14–12 53.85%
M3thodic vs Eddy 12–10 54.55%
M3thodic vs Victor 10–9 52.63%
M3thodic vs Clive 11–8 57.89%
M3thodic vs Nina 12–4 75.00%
M3thodic vs Leroy 8–8 50.00%
M3thodic vs Xiaoyu 7–8 46.67%
M3thodic vs Leo 6–9 40.00%
M3thodic vs Claudio 10–5 66.67%
M3thodic vs Zafina 2–12 14.29%
M3thodic vs Jack-8 4–9 30.77%
M3thodic vs Shaheen 9–4 69.23%
M3thodic vs Kuma 7–6 53.85%
M3thodic vs Raven 3–8 27.27%
M3thodic vs Anna 5–2 71.43%
M3thodic vs Panda 3–3 50.00%

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.