Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

rakushi vs Bryan 211–208 50.36%
rakushi vs Kazuya 126–156 44.68%
rakushi vs Dragunov 128–151 45.88%
rakushi vs Hwoarang 129–130 49.81%
rakushi vs Jin 121–135 47.27%
rakushi vs Yoshimitsu 121–121 50.00%
rakushi vs King 113–123 47.88%
rakushi vs Steve 115–114 50.22%
rakushi vs Reina 118–108 52.21%
rakushi vs Lidia 118–103 53.39%
rakushi vs Clive 104–115 47.49%
rakushi vs Lars 110–107 50.69%
rakushi vs Paul 105–110 48.84%
rakushi vs Asuka 117–97 54.67%
rakushi vs Lili 117–86 57.64%
rakushi vs Feng 100–85 54.05%
rakushi vs Heihachi 90–94 48.91%
rakushi vs Victor 87–91 48.88%
rakushi vs Jack-8 91–82–1 52.60%
rakushi vs Devil Jin 94–78 54.65%
rakushi vs Lee 92–79 53.80%
rakushi vs Eddy 105–63 62.50%
rakushi vs Leroy 71–96 42.51%
rakushi vs Jun 85–82 50.90%
rakushi vs Law 82–78 51.25%
rakushi vs Nina 72–87 45.28%
rakushi vs Xiaoyu 77–79 49.36%
rakushi vs Azucena 75–81 48.08%
rakushi vs Claudio 80–75 51.61%
rakushi vs Alisa 85–69 55.19%
rakushi vs Leo 70–71 49.65%
rakushi vs Shaheen 62–67 48.06%
rakushi vs Zafina 65–61 51.59%
rakushi vs Raven 60–43 58.25%
rakushi vs Panda 33–41 44.59%
rakushi vs Fahkumram 31–39 44.29%
rakushi vs Kuma 37–31 54.41%
rakushi vs Anna 39–28 58.21%
rakushi vs Miary Zo 24–15 61.54%
rakushi vs Armor King 13–8 61.90%

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.