Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Gyeon100 vs Kazuya 75–60 55.56%
Gyeon100 vs Paul 48–64 42.86%
Gyeon100 vs Bryan 48–54 47.06%
Gyeon100 vs Dragunov 46–56 45.10%
Gyeon100 vs King 47–53 47.00%
Gyeon100 vs Reina 59–36 62.11%
Gyeon100 vs Jin 43–50–1 46.24%
Gyeon100 vs Lili 39–39 50.00%
Gyeon100 vs Hwoarang 43–32 57.33%
Gyeon100 vs Asuka 31–40 43.66%
Gyeon100 vs Law 36–34 51.43%
Gyeon100 vs Clive 37–33 52.86%
Gyeon100 vs Steve 30–35 46.15%
Gyeon100 vs Jun 28–34 45.16%
Gyeon100 vs Victor 38–19 66.67%
Gyeon100 vs Xiaoyu 26–24 52.00%
Gyeon100 vs Devil Jin 25–25 50.00%
Gyeon100 vs Claudio 19–30 38.78%
Gyeon100 vs Azucena 25–24 51.02%
Gyeon100 vs Yoshimitsu 26–19 57.78%
Gyeon100 vs Feng 22–23 48.89%
Gyeon100 vs Leo 20–25 44.44%
Gyeon100 vs Lee 23–22 51.11%
Gyeon100 vs Lars 16–26 38.10%
Gyeon100 vs Heihachi 16–23 41.03%
Gyeon100 vs Shaheen 20–17 54.05%
Gyeon100 vs Jack-8 21–13 61.76%
Gyeon100 vs Kuma 13–21 38.24%
Gyeon100 vs Nina 15–18 45.45%
Gyeon100 vs Alisa 17–15 53.12%
Gyeon100 vs Lidia 11–18 37.93%
Gyeon100 vs Anna 13–15 46.43%
Gyeon100 vs Zafina 11–12 47.83%
Gyeon100 vs Leroy 8–15 34.78%
Gyeon100 vs Raven 11–11 50.00%
Gyeon100 vs Eddy 14–7 66.67%
Gyeon100 vs Armor King 6–5 54.55%
Gyeon100 vs Panda 3–4 42.86%
Gyeon100 vs Fahkumram 1–3 25.00%
Gyeon100 vs Miary Zo 1–1 50.00%

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.