Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

oldhunter vs Kazuya 69–175 28.28%
oldhunter vs King 84–154 35.29%
oldhunter vs Jin 78–157 33.19%
oldhunter vs Law 48–123 28.07%
oldhunter vs Steve 46–120 27.71%
oldhunter vs Bryan 48–101 32.21%
oldhunter vs Heihachi 48–80 37.50%
oldhunter vs Dragunov 42–64 39.62%
oldhunter vs Clive 23–74 23.71%
oldhunter vs Paul 31–61 33.70%
oldhunter vs Hwoarang 29–60 32.58%
oldhunter vs Devil Jin 25–59 29.76%
oldhunter vs Reina 34–49 40.96%
oldhunter vs Lili 34–48 41.46%
oldhunter vs Victor 17–61 21.79%
oldhunter vs Lee 27–43 38.57%
oldhunter vs Yoshimitsu 20–43 31.75%
oldhunter vs Eddy 21–30 41.18%
oldhunter vs Azucena 18–28 39.13%
oldhunter vs Lars 12–32 27.27%
oldhunter vs Jun 17–26 39.53%
oldhunter vs Anna 15–28 34.88%
oldhunter vs Nina 15–26 36.59%
oldhunter vs Asuka 12–24 33.33%
oldhunter vs Alisa 9–27 25.00%
oldhunter vs Claudio 11–17 39.29%
oldhunter vs Xiaoyu 11–16 40.74%
oldhunter vs Jack-8 9–18 33.33%
oldhunter vs Shaheen 5–16 23.81%
oldhunter vs Kuma 5–16 23.81%
oldhunter vs Feng 6–14 30.00%
oldhunter vs Leroy 4–16 20.00%
oldhunter vs Lidia 7–13 35.00%
oldhunter vs Raven 7–8 46.67%
oldhunter vs Leo 3–11 21.43%
oldhunter vs Zafina 6–6 50.00%
oldhunter vs Panda 0–7 0.00%
oldhunter vs Armor King 4–1 80.00%
oldhunter vs Fahkumram 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.