Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Azzerino vs Kazuya 61–46 57.01%
Azzerino vs Jin 63–38 62.38%
Azzerino vs Bryan 44–47 48.35%
Azzerino vs Hwoarang 50–36 58.14%
Azzerino vs Heihachi 44–37 54.32%
Azzerino vs King 49–30 62.03%
Azzerino vs Clive 50–29 63.29%
Azzerino vs Law 37–41 47.44%
Azzerino vs Dragunov 35–25 58.33%
Azzerino vs Steve 32–27 54.24%
Azzerino vs Devil Jin 36–19 65.45%
Azzerino vs Azucena 34–20 62.96%
Azzerino vs Yoshimitsu 39–14 73.58%
Azzerino vs Paul 26–21 55.32%
Azzerino vs Alisa 25–22 53.19%
Azzerino vs Nina 22–24 47.83%
Azzerino vs Lee 32–14 69.57%
Azzerino vs Feng 20–24 45.45%
Azzerino vs Lidia 25–19 56.82%
Azzerino vs Asuka 20–23 46.51%
Azzerino vs Lili 22–20 52.38%
Azzerino vs Lars 21–20 51.22%
Azzerino vs Jun 16–24 40.00%
Azzerino vs Xiaoyu 14–24 36.84%
Azzerino vs Leroy 15–22 40.54%
Azzerino vs Victor 18–18 50.00%
Azzerino vs Reina 22–13 62.86%
Azzerino vs Leo 10–22 31.25%
Azzerino vs Claudio 10–20 33.33%
Azzerino vs Raven 20–10 66.67%
Azzerino vs Jack-8 14–14 50.00%
Azzerino vs Shaheen 14–14 50.00%
Azzerino vs Eddy 16–9 64.00%
Azzerino vs Kuma 11–12 47.83%
Azzerino vs Zafina 13–9 59.09%
Azzerino vs Panda 9–8 52.94%
Azzerino vs Fahkumram 5–6 45.45%
Azzerino vs Miary Zo 8–3 72.73%
Azzerino vs Anna 6–3 66.67%
Azzerino vs Armor King 5–3 62.50%

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.