Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

malice@doll vs Jin 50–68 42.37%
malice@doll vs King 59–43 57.84%
malice@doll vs Kazuya 51–43 54.26%
malice@doll vs Reina 51–40 56.04%
malice@doll vs Steve 35–44 44.30%
malice@doll vs Bryan 36–41 46.75%
malice@doll vs Eddy 35–42 45.45%
malice@doll vs Law 33–42 44.00%
malice@doll vs Dragunov 40–32 55.56%
malice@doll vs Lili 43–28 60.56%
malice@doll vs Yoshimitsu 30–35 46.15%
malice@doll vs Hwoarang 32–32 50.00%
malice@doll vs Victor 25–34 42.37%
malice@doll vs Jun 34–23 59.65%
malice@doll vs Lee 30–26 53.57%
malice@doll vs Lars 26–26 50.00%
malice@doll vs Azucena 22–29 43.14%
malice@doll vs Asuka 23–17 57.50%
malice@doll vs Paul 18–21 46.15%
malice@doll vs Feng 13–21 38.24%
malice@doll vs Raven 14–20 41.18%
malice@doll vs Shaheen 14–19 42.42%
malice@doll vs Leroy 13–17 43.33%
malice@doll vs Leo 14–14 50.00%
malice@doll vs Jack-8 15–12 55.56%
malice@doll vs Xiaoyu 17–9 65.38%
malice@doll vs Devil Jin 11–13 45.83%
malice@doll vs Nina 12–12 50.00%
malice@doll vs Claudio 8–13 38.10%
malice@doll vs Alisa 13–6–1 68.42%
malice@doll vs Panda 8–11 42.11%
malice@doll vs Kuma 9–9 50.00%
malice@doll vs Zafina 9–8 52.94%
malice@doll vs Lidia 7–9 43.75%

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.