Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

GONZARES vs Dragunov 66–60 52.38%
GONZARES vs Bryan 47–60 43.93%
GONZARES vs Kazuya 46–50 47.92%
GONZARES vs Asuka 61–35 63.54%
GONZARES vs Lili 52–42 55.32%
GONZARES vs Paul 58–35 62.37%
GONZARES vs Law 44–46 48.89%
GONZARES vs Hwoarang 37–51 42.05%
GONZARES vs King 40–45 47.06%
GONZARES vs Jin 45–40 52.94%
GONZARES vs Steve 37–42 46.84%
GONZARES vs Reina 43–33 56.58%
GONZARES vs Lee 40–35 53.33%
GONZARES vs Victor 33–40 45.21%
GONZARES vs Nina 41–28 59.42%
GONZARES vs Devil Jin 34–30 53.12%
GONZARES vs Leroy 33–28 54.10%
GONZARES vs Azucena 34–26 56.67%
GONZARES vs Raven 32–26 55.17%
GONZARES vs Alisa 33–24 57.89%
GONZARES vs Yoshimitsu 40–15 72.73%
GONZARES vs Lidia 25–29 46.30%
GONZARES vs Feng 29–23 55.77%
GONZARES vs Jack-8 26–20 56.52%
GONZARES vs Leo 23–23 50.00%
GONZARES vs Shaheen 20–26 43.48%
GONZARES vs Lars 21–23 47.73%
GONZARES vs Zafina 22–20 52.38%
GONZARES vs Armor King 14–28 33.33%
GONZARES vs Xiaoyu 28–13 68.29%
GONZARES vs Claudio 15–26 36.59%
GONZARES vs Eddy 14–27 34.15%
GONZARES vs Jun 25–14 64.10%
GONZARES vs Heihachi 15–20 42.86%
GONZARES vs Kuma 23–8 74.19%
GONZARES vs Miary Zo 9–7 56.25%
GONZARES vs Clive 3–11 21.43%
GONZARES vs Anna 6–8 42.86%
GONZARES vs Fahkumram 4–10 28.57%
GONZARES vs Panda 4–8 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.