Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

mtqls vs Bryan 18–11 62.07%
mtqls vs Dragunov 14–12 53.85%
mtqls vs Reina 16–10 61.54%
mtqls vs Eddy 16–4 80.00%
mtqls vs Kazuya 13–6 68.42%
mtqls vs Lars 12–5 70.59%
mtqls vs Jin 12–4 75.00%
mtqls vs Lee 12–4 75.00%
mtqls vs Hwoarang 12–2 85.71%
mtqls vs Jun 12–2 85.71%
mtqls vs Paul 11–2 84.62%
mtqls vs Law 10–3 76.92%
mtqls vs King 8–5 61.54%
mtqls vs Devil Jin 9–4 69.23%
mtqls vs Lili 8–3 72.73%
mtqls vs Yoshimitsu 5–5 50.00%
mtqls vs Nina 5–4 55.56%
mtqls vs Xiaoyu 5–3 62.50%
mtqls vs Asuka 4–4 50.00%
mtqls vs Alisa 7–1 87.50%
mtqls vs Claudio 4–4 50.00%
mtqls vs Azucena 3–5 37.50%
mtqls vs Victor 5–3 62.50%
mtqls vs Raven 6–2 75.00%
mtqls vs Steve 5–0 100.00%
mtqls vs Leroy 1–3 25.00%
mtqls vs Leo 2–1 66.67%
mtqls vs Shaheen 2–1 66.67%
mtqls vs Kuma 2–0 100.00%
mtqls vs Zafina 2–0 100.00%
mtqls vs Jack-8 1–0 100.00%
mtqls vs Feng 1–0 100.00%

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.