Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
H82win

Ratings

H82win vs Eddy 14–19 42.42%
H82win vs Kazuya 16–10 61.54%
H82win vs Reina 16–10 61.54%
H82win vs King 13–5 72.22%
H82win vs Jin 6–7 46.15%
H82win vs Asuka 9–3 75.00%
H82win vs Hwoarang 7–4 63.64%
H82win vs Yoshimitsu 4–6 40.00%
H82win vs Azucena 5–5 50.00%
H82win vs Lidia 5–4 55.56%
H82win vs Law 6–2 75.00%
H82win vs Lili 3–5 37.50%
H82win vs Dragunov 4–4 50.00%
H82win vs Leo 7–1 87.50%
H82win vs Lee 5–3 62.50%
H82win vs Xiaoyu 5–2 71.43%
H82win vs Bryan 2–5 28.57%
H82win vs Feng 2–5 28.57%
H82win vs Leroy 5–2 71.43%
H82win vs Lars 1–4 20.00%
H82win vs Alisa 2–2 50.00%
H82win vs Jun 3–1 75.00%
H82win vs Victor 2–2 50.00%
H82win vs Claudio 2–1 66.67%
H82win vs Shaheen 3–0 100.00%
H82win vs Raven 2–1 66.67%
H82win vs Steve 1–1 50.00%
H82win vs Devil Jin 1–0 100.00%
H82win vs Nina 0–1 0.00%
H82win 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.