Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

유유자적
염__기
유유자적 vs Bryan 32–15 68.09%
유유자적 vs Hwoarang 26–19 57.78%
유유자적 vs Dragunov 23–15 60.53%
유유자적 vs Kazuya 18–16 52.94%
유유자적 vs Heihachi 21–13 61.76%
유유자적 vs Steve 17–15 53.12%
유유자적 vs Paul 11–16 40.74%
유유자적 vs Nina 19–8 70.37%
유유자적 vs Lee 12–13 48.00%
유유자적 vs King 12–11 52.17%
유유자적 vs Jin 11–11 50.00%
유유자적 vs Clive 11–11 50.00%
유유자적 vs Yoshimitsu 13–7 65.00%
유유자적 vs Devil Jin 10–9 52.63%
유유자적 vs Victor 8–11 42.11%
유유자적 vs Lars 10–8 55.56%
유유자적 vs Lili 11–6 64.71%
유유자적 vs Shaheen 8–9 47.06%
유유자적 vs Leroy 3–13 18.75%
유유자적 vs Feng 10–5 66.67%
유유자적 vs Jun 9–6 60.00%
유유자적 vs Claudio 9–5 64.29%
유유자적 vs Azucena 8–6 57.14%
유유자적 vs Reina 8–5 61.54%
유유자적 vs Lidia 5–7 41.67%
유유자적 vs Asuka 6–5 54.55%
유유자적 vs Panda 6–4 60.00%
유유자적 vs Law 6–3 66.67%
유유자적 vs Leo 5–4 55.56%
유유자적 vs Xiaoyu 5–3 62.50%
유유자적 vs Jack-8 4–4 50.00%
유유자적 vs Alisa 7–1 87.50%
유유자적 vs Kuma 2–5 28.57%
유유자적 vs Eddy 2–5 28.57%
유유자적 vs Zafina 4–2 66.67%
유유자적 vs Raven 1–4 20.00%

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.