Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

illang
ㅤ삽적밥ㅤ
오빠야살리도
SUNDUBUBICHI
illang vs Dragunov 52–42 55.32%
illang vs Bryan 41–30 57.75%
illang vs Kazuya 44–27 61.97%
illang vs Hwoarang 48–21 69.57%
illang vs Paul 34–31 52.31%
illang vs Reina 34–28 54.84%
illang vs Steve 34–26 56.67%
illang vs King 30–25 54.55%
illang vs Devil Jin 20–35 36.36%
illang vs Azucena 26–29 47.27%
illang vs Victor 27–28 49.09%
illang vs Lili 32–20 61.54%
illang vs Law 26–15 63.41%
illang vs Feng 20–20 50.00%
illang vs Jin 26–13 66.67%
illang vs Yoshimitsu 19–18 51.35%
illang vs Asuka 17–19 47.22%
illang vs Leo 17–18 48.57%
illang vs Jack-8 23–11 67.65%
illang vs Lars 18–16 52.94%
illang vs Shaheen 20–13 60.61%
illang vs Clive 15–17 46.88%
illang vs Nina 13–18 41.94%
illang vs Lee 17–14 54.84%
illang vs Alisa 10–18 35.71%
illang vs Jun 15–13 53.57%
illang vs Kuma 15–12 55.56%
illang vs Eddy 11–12 47.83%
illang vs Xiaoyu 14–7 66.67%
illang vs Lidia 8–10 44.44%
illang vs Leroy 6–9 40.00%
illang vs Zafina 4–10 28.57%
illang vs Heihachi 10–4 71.43%
illang vs Raven 6–6 50.00%
illang vs Claudio 5–5 50.00%
illang vs Panda 2–3 40.00%

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.