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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

i am bad vs Kazuya 121–110 52.38%
i am bad vs Jin 104–82 55.91%
i am bad vs King 82–59 58.16%
i am bad vs Reina 76–50 60.32%
i am bad vs Bryan 52–68 43.33%
i am bad vs Hwoarang 62–49 55.86%
i am bad vs Law 63–39 61.76%
i am bad vs Lili 59–37 61.46%
i am bad vs Heihachi 54–37 59.34%
i am bad vs Paul 44–38 53.66%
i am bad vs Steve 50–32 60.98%
i am bad vs Yoshimitsu 43–33 56.58%
i am bad vs Dragunov 36–32 52.94%
i am bad vs Asuka 46–20 69.70%
i am bad vs Alisa 31–33 48.44%
i am bad vs Devil Jin 35–27 56.45%
i am bad vs Clive 42–18 70.00%
i am bad vs Xiaoyu 35–23 60.34%
i am bad vs Lars 22–32 40.74%
i am bad vs Eddy 28–25 52.83%
i am bad vs Leroy 27–25 51.92%
i am bad vs Lee 24–26 48.00%
i am bad vs Claudio 27–22 55.10%
i am bad vs Feng 26–18 59.09%
i am bad vs Raven 20–22 47.62%
i am bad vs Victor 28–13 68.29%
i am bad vs Jack-8 18–20 47.37%
i am bad vs Jun 22–16 57.89%
i am bad vs Nina 15–20 42.86%
i am bad vs Azucena 16–13 55.17%
i am bad vs Lidia 13–11 54.17%
i am bad vs Fahkumram 16–6 72.73%
i am bad vs Leo 12–7 63.16%
i am bad vs Zafina 4–14 22.22%
i am bad vs Kuma 10–6 62.50%
i am bad vs Armor King 8–3 72.73%
i am bad vs Anna 6–3 66.67%
i am bad vs Miary Zo 5–2 71.43%
i am bad vs Shaheen 3–2 60.00%
i am bad vs Panda 3–1 75.00%

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.