Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

cancer vs Kazuya 70–60 53.85%
cancer vs Jin 64–62 50.79%
cancer vs Paul 55–52 51.40%
cancer vs King 58–49 54.21%
cancer vs Reina 72–33 68.57%
cancer vs Hwoarang 57–46 55.34%
cancer vs Bryan 48–45 51.61%
cancer vs Dragunov 41–32 56.16%
cancer vs Law 39–31 55.71%
cancer vs Yoshimitsu 37–33 52.86%
cancer vs Lili 39–26 60.00%
cancer vs Devil Jin 27–36 42.86%
cancer vs Steve 34–22 60.71%
cancer vs Lee 31–24 56.36%
cancer vs Xiaoyu 31–19 62.00%
cancer vs Feng 28–22 56.00%
cancer vs Azucena 26–23 53.06%
cancer vs Victor 21–25 45.65%
cancer vs Nina 17–25 40.48%
cancer vs Jun 16–21 43.24%
cancer vs Leroy 25–11 69.44%
cancer vs Claudio 18–16 52.94%
cancer vs Lidia 18–14 56.25%
cancer vs Lars 12–13 48.00%
cancer vs Alisa 7–17 29.17%
cancer vs Raven 13–11 54.17%
cancer vs Eddy 13–11 54.17%
cancer vs Asuka 14–9 60.87%
cancer vs Jack-8 8–12 40.00%
cancer vs Shaheen 8–11 42.11%
cancer vs Zafina 11–7 61.11%
cancer vs Kuma 10–7 58.82%
cancer vs Leo 5–9 35.71%
cancer vs Panda 4–3 57.14%
cancer vs Heihachi 0–1 0.00%

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.