Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Viserion vs Kazuya 116–90 56.31%
Viserion vs Jin 101–82 55.19%
Viserion vs King 71–64 52.59%
Viserion vs Reina 76–43 63.87%
Viserion vs Heihachi 62–51 54.87%
Viserion vs Bryan 54–57 48.65%
Viserion vs Steve 56–33 62.92%
Viserion vs Devil Jin 48–31 60.76%
Viserion vs Hwoarang 42–36 53.85%
Viserion vs Paul 40–37 51.95%
Viserion vs Asuka 42–35 54.55%
Viserion vs Law 37–37 50.00%
Viserion vs Eddy 23–46 33.33%
Viserion vs Dragunov 32–35 47.76%
Viserion vs Lidia 41–22 65.08%
Viserion vs Nina 34–26 56.67%
Viserion vs Yoshimitsu 30–29 50.85%
Viserion vs Jun 36–20 64.29%
Viserion vs Clive 28–26 51.85%
Viserion vs Victor 30–18 62.50%
Viserion vs Lars 26–18 59.09%
Viserion vs Lee 22–22 50.00%
Viserion vs Lili 19–18 51.35%
Viserion vs Azucena 21–15 58.33%
Viserion vs Feng 15–17 46.88%
Viserion vs Alisa 11–19 36.67%
Viserion vs Claudio 19–11 63.33%
Viserion vs Kuma 16–13 55.17%
Viserion vs Xiaoyu 16–12 57.14%
Viserion vs Jack-8 11–17 39.29%
Viserion vs Leo 14–13 51.85%
Viserion vs Zafina 11–16 40.74%
Viserion vs Leroy 16–10 61.54%
Viserion vs Shaheen 16–9 64.00%
Viserion vs Raven 16–5 76.19%
Viserion vs Armor King 11–5 68.75%
Viserion vs Fahkumram 4–8 33.33%
Viserion vs Panda 6–4 60.00%
Viserion vs Anna 4–5 44.44%
Viserion vs Miary Zo 5–4 55.56%

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.