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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

one bigly vs King 60–98 37.97%
one bigly vs Kazuya 62–85–1 42.18%
one bigly vs Reina 54–64 45.76%
one bigly vs Bryan 36–70 33.96%
one bigly vs Jin 38–63 37.62%
one bigly vs Azucena 36–43 45.57%
one bigly vs Steve 33–44 42.86%
one bigly vs Heihachi 29–48 37.66%
one bigly vs Armor King 30–45 40.00%
one bigly vs Clive 24–48 33.33%
one bigly vs Jun 29–41 41.43%
one bigly vs Dragunov 28–36 43.75%
one bigly vs Law 16–45 26.23%
one bigly vs Lili 14–39 26.42%
one bigly vs Asuka 22–29 43.14%
one bigly vs Hwoarang 14–34 29.17%
one bigly vs Yoshimitsu 22–24 47.83%
one bigly vs Lidia 15–31 32.61%
one bigly vs Lee 21–23 47.73%
one bigly vs Paul 10–32 23.81%
one bigly vs Fahkumram 11–27 28.95%
one bigly vs Nina 20–16 55.56%
one bigly vs Devil Jin 9–26 25.71%
one bigly vs Victor 13–22 37.14%
one bigly vs Xiaoyu 13–18 41.94%
one bigly vs Alisa 16–15 51.61%
one bigly vs Eddy 10–21 32.26%
one bigly vs Claudio 8–22 26.67%
one bigly vs Lars 14–15 48.28%
one bigly vs Miary Zo 11–17 39.29%
one bigly vs Jack-8 12–14 46.15%
one bigly vs Leroy 10–16 38.46%
one bigly vs Raven 9–13 40.91%
one bigly vs Feng 5–14 26.32%
one bigly vs Anna 8–11 42.11%
one bigly vs Kuma 4–14 22.22%
one bigly vs Leo 9–8 52.94%
one bigly vs Shaheen 5–9 35.71%
one bigly vs Zafina 7–6 53.85%
one bigly vs Panda 2–4 33.33%

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.