Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Vermillion vs Kazuya 204–168 54.84%
Vermillion vs King 175–175 50.00%
Vermillion vs Heihachi 167–155 51.86%
Vermillion vs Bryan 155–161 49.05%
Vermillion vs Jin 154–140 52.38%
Vermillion vs Law 135–149 47.54%
Vermillion vs Hwoarang 144–136 51.43%
Vermillion vs Steve 159–115 58.03%
Vermillion vs Reina 127–111 53.36%
Vermillion vs Paul 108–116 48.21%
Vermillion vs Lee 100–106 48.54%
Vermillion vs Yoshimitsu 107–98 52.20%
Vermillion vs Lars 109–90 54.77%
Vermillion vs Dragunov 102–95 51.78%
Vermillion vs Clive 107–87 55.15%
Vermillion vs Lili 83–103 44.62%
Vermillion vs Asuka 74–108 40.66%
Vermillion vs Feng 94–85 52.51%
Vermillion vs Devil Jin 95–83 53.37%
Vermillion vs Azucena 95–81 53.98%
Vermillion vs Eddy 87–83 51.18%
Vermillion vs Victor 74–89 45.40%
Vermillion vs Jun 76–78 49.35%
Vermillion vs Nina 65–80 44.83%
Vermillion vs Raven 74–65 53.24%
Vermillion vs Jack-8 59–72 45.04%
Vermillion vs Leroy 56–69 44.80%
Vermillion vs Xiaoyu 50–53 48.54%
Vermillion vs Leo 45–57 44.12%
Vermillion vs Claudio 43–53 44.79%
Vermillion vs Alisa 40–42 48.78%
Vermillion vs Anna 36–39 48.00%
Vermillion vs Kuma 36–31 53.73%
Vermillion vs Zafina 26–41 38.81%
Vermillion vs Lidia 26–40 39.39%
Vermillion vs Shaheen 24–31 43.64%
Vermillion vs Panda 13–23 36.11%

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.