Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

@(ㅇ-ㅇ)=@ vs Hwoarang 88–78 53.01%
@(ㅇ-ㅇ)=@ vs Dragunov 75–73 50.68%
@(ㅇ-ㅇ)=@ vs Bryan 79–68 53.74%
@(ㅇ-ㅇ)=@ vs Victor 77–70 52.38%
@(ㅇ-ㅇ)=@ vs King 76–62 55.07%
@(ㅇ-ㅇ)=@ vs Lars 54–65 45.38%
@(ㅇ-ㅇ)=@ vs Asuka 47–59 44.34%
@(ㅇ-ㅇ)=@ vs Kazuya 48–55 46.60%
@(ㅇ-ㅇ)=@ vs Jin 54–47 53.47%
@(ㅇ-ㅇ)=@ vs Reina 47–53 47.00%
@(ㅇ-ㅇ)=@ vs Law 48–50 48.98%
@(ㅇ-ㅇ)=@ vs Steve 52–46 53.06%
@(ㅇ-ㅇ)=@ vs Paul 51–44 53.68%
@(ㅇ-ㅇ)=@ vs Eddy 54–40 57.45%
@(ㅇ-ㅇ)=@ vs Jack-8 41–50 45.05%
@(ㅇ-ㅇ)=@ vs Lili 46–42 52.27%
@(ㅇ-ㅇ)=@ vs Yoshimitsu 45–42 51.72%
@(ㅇ-ㅇ)=@ vs Xiaoyu 45–42 51.72%
@(ㅇ-ㅇ)=@ vs Lee 38–47 44.71%
@(ㅇ-ㅇ)=@ vs Claudio 38–43 46.91%
@(ㅇ-ㅇ)=@ vs Devil Jin 38–41 48.10%
@(ㅇ-ㅇ)=@ vs Leroy 44–31 58.67%
@(ㅇ-ㅇ)=@ vs Feng 33–41 44.59%
@(ㅇ-ㅇ)=@ vs Azucena 39–31 55.71%
@(ㅇ-ㅇ)=@ vs Alisa 37–32 53.62%
@(ㅇ-ㅇ)=@ vs Jun 35–33 51.47%
@(ㅇ-ㅇ)=@ vs Nina 38–28 57.58%
@(ㅇ-ㅇ)=@ vs Heihachi 31–22 58.49%
@(ㅇ-ㅇ)=@ vs Clive 22–31 41.51%
@(ㅇ-ㅇ)=@ vs Zafina 16–34 32.00%
@(ㅇ-ㅇ)=@ vs Lidia 24–25 48.98%
@(ㅇ-ㅇ)=@ vs Anna 32–17 65.31%
@(ㅇ-ㅇ)=@ vs Leo 30–15 66.67%
@(ㅇ-ㅇ)=@ vs Raven 22–23 48.89%
@(ㅇ-ㅇ)=@ vs Shaheen 16–28 36.36%
@(ㅇ-ㅇ)=@ vs Kuma 21–18 53.85%
@(ㅇ-ㅇ)=@ vs Fahkumram 10–16 38.46%
@(ㅇ-ㅇ)=@ vs Armor King 11–13 45.83%
@(ㅇ-ㅇ)=@ vs Panda 3–10 23.08%
@(ㅇ-ㅇ)=@ vs Miary Zo 0–1 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.