Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

GAhoosh vs Jin 307–316 49.28%
GAhoosh vs Hwoarang 308–308 50.00%
GAhoosh vs King 296–294 50.17%
GAhoosh vs Kazuya 265–304 46.57%
GAhoosh vs Bryan 275–251 52.28%
GAhoosh vs Steve 251–246 50.50%
GAhoosh vs Law 253–240 51.32%
GAhoosh vs Reina 218–198 52.40%
GAhoosh vs Yoshimitsu 184–226 44.88%
GAhoosh vs Lars 207–201 50.74%
GAhoosh vs Lee 215–186 53.62%
GAhoosh vs Lili 189–186 50.40%
GAhoosh vs Paul 181–186 49.32%
GAhoosh vs Dragunov 162–184 46.82%
GAhoosh vs Jun 172–156 52.44%
GAhoosh vs Azucena 186–140 57.06%
GAhoosh vs Nina 154–170 47.53%
GAhoosh vs Devil Jin 148–166 47.13%
GAhoosh vs Feng 155–157 49.68%
GAhoosh vs Asuka 148–150 49.66%
GAhoosh vs Xiaoyu 120–175 40.68%
GAhoosh vs Leo 149–134 52.65%
GAhoosh vs Jack-8 123–133–1 48.05%
GAhoosh vs Victor 137–110 55.47%
GAhoosh vs Zafina 114–132 46.34%
GAhoosh vs Heihachi 103–142 42.04%
GAhoosh vs Raven 120–106 53.10%
GAhoosh vs Alisa 114–111 50.67%
GAhoosh vs Leroy 115–106 52.04%
GAhoosh vs Eddy 109–110 49.77%
GAhoosh vs Armor King 86–122 41.35%
GAhoosh vs Lidia 102–99 50.75%
GAhoosh vs Claudio 90–92 49.45%
GAhoosh vs Fahkumram 62–76 44.93%
GAhoosh vs Kuma 59–73 44.70%
GAhoosh vs Shaheen 63–65 49.22%
GAhoosh vs Anna 45–57 44.12%
GAhoosh vs Clive 62–36 63.27%
GAhoosh vs Panda 33–29 53.23%

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.