Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

2 spam
Aizen
2 spam vs King 23–28 45.10%
2 spam vs Jin 14–34 29.17%
2 spam vs Hwoarang 24–21 53.33%
2 spam vs Eddy 15–28 34.88%
2 spam vs Reina 23–19 54.76%
2 spam vs Steve 22–18 55.00%
2 spam vs Jun 21–18 53.85%
2 spam vs Lili 13–25 34.21%
2 spam vs Kazuya 11–26 29.73%
2 spam vs Yoshimitsu 18–16 52.94%
2 spam vs Law 9–24 27.27%
2 spam vs Paul 15–17 46.88%
2 spam vs Azucena 13–19 40.62%
2 spam vs Asuka 17–14 54.84%
2 spam vs Victor 14–15 48.28%
2 spam vs Leo 11–17 39.29%
2 spam vs Bryan 9–15 37.50%
2 spam vs Lee 10–14 41.67%
2 spam vs Dragunov 6–17 26.09%
2 spam vs Lars 11–11 50.00%
2 spam vs Feng 7–8 46.67%
2 spam vs Raven 7–8 46.67%
2 spam vs Claudio 6–8 42.86%
2 spam vs Nina 7–7 50.00%
2 spam vs Leroy 8–5 61.54%
2 spam vs Jack-8 5–4 55.56%
2 spam vs Xiaoyu 4–4 50.00%
2 spam vs Alisa 4–4 50.00%
2 spam vs Zafina 4–4 50.00%
2 spam vs Devil Jin 2–4 33.33%
2 spam vs Shaheen 2–2 50.00%
2 spam vs Kuma 0–2 0.00%
2 spam vs Panda 1–1 50.00%

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.