Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

WhiteMeat vs Kazuya 71–60 54.20%
WhiteMeat vs Bryan 61–56 52.14%
WhiteMeat vs Jin 61–49 55.45%
WhiteMeat vs Law 48–57 45.71%
WhiteMeat vs Hwoarang 56–40 58.33%
WhiteMeat vs Heihachi 63–33 65.62%
WhiteMeat vs King 48–42 53.33%
WhiteMeat vs Reina 62–25–1 71.26%
WhiteMeat vs Paul 42–40 51.22%
WhiteMeat vs Lili 41–36 53.25%
WhiteMeat vs Yoshimitsu 49–27 64.47%
WhiteMeat vs Steve 27–37 42.19%
WhiteMeat vs Dragunov 17–44 27.87%
WhiteMeat vs Nina 30–24 55.56%
WhiteMeat vs Fahkumram 26–27 49.06%
WhiteMeat vs Xiaoyu 24–28 46.15%
WhiteMeat vs Jun 22–25 46.81%
WhiteMeat vs Lee 29–15 65.91%
WhiteMeat vs Azucena 19–23 45.24%
WhiteMeat vs Alisa 11–29 27.50%
WhiteMeat vs Devil Jin 19–17 52.78%
WhiteMeat vs Lars 21–15 58.33%
WhiteMeat vs Armor King 20–16 55.56%
WhiteMeat vs Feng 16–18 47.06%
WhiteMeat vs Asuka 18–15 54.55%
WhiteMeat vs Anna 23–10 69.70%
WhiteMeat vs Eddy 13–17 43.33%
WhiteMeat vs Leo 10–19 34.48%
WhiteMeat vs Jack-8 13–14 48.15%
WhiteMeat vs Lidia 19–8 70.37%
WhiteMeat vs Miary Zo 10–17 37.04%
WhiteMeat vs Leroy 12–13 48.00%
WhiteMeat vs Victor 9–14 39.13%
WhiteMeat vs Raven 11–11 50.00%
WhiteMeat vs Claudio 10–8 55.56%
WhiteMeat vs Shaheen 9–6 60.00%
WhiteMeat vs Zafina 5–5 50.00%
WhiteMeat vs Clive 6–3 66.67%
WhiteMeat vs Panda 4–4 50.00%
WhiteMeat vs Kuma 2–3 40.00%

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.