Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

apos33 vs Jin 7–8 46.67%
apos33 vs Kazuya 4–9 30.77%
apos33 vs Lili 6–7 46.15%
apos33 vs Bryan 7–6 53.85%
apos33 vs King 8–4 66.67%
apos33 vs Reina 8–3 72.73%
apos33 vs Dragunov 5–6 45.45%
apos33 vs Asuka 1–9 10.00%
apos33 vs Steve 6–4 60.00%
apos33 vs Yoshimitsu 6–3 66.67%
apos33 vs Nina 6–2 75.00%
apos33 vs Leroy 5–3 62.50%
apos33 vs Law 3–5 37.50%
apos33 vs Alisa 5–2 71.43%
apos33 vs Jun 1–6 14.29%
apos33 vs Devil Jin 4–2 66.67%
apos33 vs Claudio 3–2 60.00%
apos33 vs Paul 2–3 40.00%
apos33 vs Xiaoyu 3–2 60.00%
apos33 vs Feng 1–4 20.00%
apos33 vs Lidia 4–1 80.00%
apos33 vs Victor 2–2 50.00%
apos33 vs Panda 2–2 50.00%
apos33 vs Eddy 2–2 50.00%
apos33 vs Hwoarang 0–3 0.00%
apos33 vs Leo 0–2 0.00%
apos33 vs Lars 1–1 50.00%
apos33 vs Shaheen 1–1 50.00%
apos33 vs Azucena 0–2 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.