Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

bluesky vs Bryan 255–214 54.37%
bluesky vs Kazuya 230–194 54.25%
bluesky vs Dragunov 236–173 57.70%
bluesky vs Jin 182–111 62.12%
bluesky vs Hwoarang 177–113 61.03%
bluesky vs Steve 158–121 56.63%
bluesky vs Paul 156–118 56.93%
bluesky vs King 125–111 52.97%
bluesky vs Asuka 117–114 50.65%
bluesky vs Azucena 139–91 60.43%
bluesky vs Lili 123–94 56.68%
bluesky vs Lidia 126–89 58.60%
bluesky vs Yoshimitsu 116–94 55.24%
bluesky vs Devil Jin 119–91 56.67%
bluesky vs Law 110–97 53.14%
bluesky vs Feng 104–102 50.49%
bluesky vs Leroy 138–63 68.66%
bluesky vs Reina 106–92 53.54%
bluesky vs Lars 110–85 56.41%
bluesky vs Heihachi 97–96 50.26%
bluesky vs Jun 97–92 51.32%
bluesky vs Claudio 113–72 61.08%
bluesky vs Jack-8 85–84 50.30%
bluesky vs Lee 93–76 55.03%
bluesky vs Victor 95–71 57.23%
bluesky vs Nina 83–82 50.30%
bluesky vs Clive 84–65 56.38%
bluesky vs Alisa 75–70 51.72%
bluesky vs Shaheen 57–82 41.01%
bluesky vs Leo 83–49 62.88%
bluesky vs Fahkumram 70–50 58.33%
bluesky vs Eddy 57–59–1 49.14%
bluesky vs Xiaoyu 65–51 56.03%
bluesky vs Kuma 59–51 53.64%
bluesky vs Anna 52–44 54.17%
bluesky vs Zafina 42–43 49.41%
bluesky vs Raven 42–40 51.22%
bluesky vs Armor King 36–33 52.17%
bluesky vs Panda 22–23 48.89%
bluesky vs Miary Zo 14–15 48.28%

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.