Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

t9berh. vs Kazuya 526–493 51.62%
t9berh. vs Jin 432–387 52.75%
t9berh. vs King 336–302 52.66%
t9berh. vs Bryan 257–286 47.33%
t9berh. vs Dragunov 251–276 47.63%
t9berh. vs Heihachi 282–240 54.02%
t9berh. vs Steve 250–218 53.42%
t9berh. vs Armor King 203–177 53.42%
t9berh. vs Law 218–137 61.41%
t9berh. vs Paul 107–167 39.05%
t9berh. vs Lee 141–133 51.46%
t9berh. vs Hwoarang 110–149 42.47%
t9berh. vs Devil Jin 102–121 45.74%
t9berh. vs Yoshimitsu 103–112 47.91%
t9berh. vs Reina 80–123–1 39.41%
t9berh. vs Fahkumram 102–97 51.26%
t9berh. vs Anna 86–79 52.12%
t9berh. vs Clive 78–85 47.85%
t9berh. vs Eddy 73–74 49.66%
t9berh. vs Lili 57–72 44.19%
t9berh. vs Nina 63–65 49.22%
t9berh. vs Feng 51–75 40.48%
t9berh. vs Lars 64–58 52.46%
t9berh. vs Azucena 49–70 41.18%
t9berh. vs Claudio 41–77 34.75%
t9berh. vs Alisa 54–54 50.00%
t9berh. vs Victor 46–61 42.99%
t9berh. vs Asuka 43–55 43.88%
t9berh. vs Jun 47–47 50.00%
t9berh. vs Jack-8 24–64 27.27%
t9berh. vs Lidia 33–40 45.21%
t9berh. vs Xiaoyu 34–38 47.22%
t9berh. vs Leo 17–44 27.87%
t9berh. vs Leroy 16–39 29.09%
t9berh. vs Miary Zo 18–34 34.62%
t9berh. vs Shaheen 18–32 36.00%
t9berh. vs Raven 23–27 46.00%
t9berh. vs Kuma 19–23 45.24%
t9berh. vs Zafina 5–15 25.00%
t9berh. vs Panda 5–8 38.46%

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.