Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

unich vs Kazuya 397–378 51.23%
unich vs Jin 307–326 48.50%
unich vs Bryan 314–284 52.51%
unich vs Hwoarang 227–256 47.00%
unich vs Reina 262–205 56.10%
unich vs King 217–239 47.59%
unich vs Dragunov 249–197 55.83%
unich vs Steve 187–202 48.07%
unich vs Paul 176–201 46.68%
unich vs Heihachi 195–181 51.86%
unich vs Lili 203–154 56.86%
unich vs Devil Jin 133–150 47.00%
unich vs Asuka 134–132 50.38%
unich vs Lee 123–127 49.20%
unich vs Jun 126–118 51.64%
unich vs Yoshimitsu 117–125 48.35%
unich vs Feng 81–130 38.39%
unich vs Alisa 91–100 47.64%
unich vs Law 93–87 51.67%
unich vs Nina 84–93 47.46%
unich vs Azucena 85–81 51.20%
unich vs Leroy 74–90 45.12%
unich vs Lidia 78–78 50.00%
unich vs Lars 63–86 42.28%
unich vs Armor King 77–67–1 53.47%
unich vs Xiaoyu 67–73 47.86%
unich vs Claudio 72–66 52.17%
unich vs Eddy 63–70 47.37%
unich vs Leo 54–76 41.54%
unich vs Anna 60–68 46.88%
unich vs Victor 56–64 46.67%
unich vs Fahkumram 49–56 46.67%
unich vs Shaheen 45–46 49.45%
unich vs Raven 40–47 45.98%
unich vs Jack-8 31–55 36.05%
unich vs Zafina 23–39 37.10%
unich vs Clive 35–22 61.40%
unich vs Kuma 17–18 48.57%
unich vs Miary Zo 9–21 30.00%
unich vs Panda 4–5 44.44%

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.