Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Debuff vs Jin 15–11 57.69%
Debuff vs King 14–7 66.67%
Debuff vs Hwoarang 8–11 42.11%
Debuff vs Steve 8–6 57.14%
Debuff vs Eddy 7–6 53.85%
Debuff vs Paul 4–7 36.36%
Debuff vs Lee 7–4 63.64%
Debuff vs Lili 3–7 30.00%
Debuff vs Kazuya 6–3 66.67%
Debuff vs Azucena 3–6 33.33%
Debuff vs Law 3–5 37.50%
Debuff vs Asuka 6–2 75.00%
Debuff vs Yoshimitsu 6–1 85.71%
Debuff vs Jun 5–2 71.43%
Debuff vs Feng 1–5 16.67%
Debuff vs Dragunov 4–2 66.67%
Debuff vs Leo 3–3 50.00%
Debuff vs Nina 4–2 66.67%
Debuff vs Victor 5–1 83.33%
Debuff vs Xiaoyu 2–3 40.00%
Debuff vs Bryan 5–0 100.00%
Debuff vs Alisa 4–1 80.00%
Debuff vs Lidia 4–1 80.00%
Debuff vs Devil Jin 2–2 50.00%
Debuff vs Kuma 3–1 75.00%
Debuff vs Leroy 2–2 50.00%
Debuff vs Reina 4–0 100.00%
Debuff vs Heihachi 2–1 66.67%
Debuff vs Lars 2–0 100.00%
Debuff vs Claudio 1–1 50.00%
Debuff vs Shaheen 1–0 100.00%
Debuff vs Panda 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.