Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
MostEffective

Ratings

MostEffective vs Kazuya 413–406 50.43%
MostEffective vs Jin 365–388 48.47%
MostEffective vs Bryan 371–373 49.87%
MostEffective vs Hwoarang 401–235 63.05%
MostEffective vs Heihachi 280–346 44.73%
MostEffective vs King 312–266 53.98%
MostEffective vs Law 303–242 55.60%
MostEffective vs Dragunov 275–269 50.55%
MostEffective vs Paul 273–225 54.82%
MostEffective vs Lee 245–224 52.24%
MostEffective vs Lili 266–186 58.85%
MostEffective vs Devil Jin 243–203 54.48%
MostEffective vs Reina 190–248 43.38%
MostEffective vs Steve 226–196 53.55%
MostEffective vs Yoshimitsu 236–175 57.42%
MostEffective vs Asuka 207–154 57.34%
MostEffective vs Lars 194–159 54.96%
MostEffective vs Azucena 150–202 42.61%
MostEffective vs Nina 169–152 52.65%
MostEffective vs Clive 152–156 49.35%
MostEffective vs Feng 152–149 50.50%
MostEffective vs Raven 177–108 62.11%
MostEffective vs Xiaoyu 151–126 54.51%
MostEffective vs Claudio 125–150 45.45%
MostEffective vs Jun 152–122 55.47%
MostEffective vs Leo 147–123 54.44%
MostEffective vs Zafina 138–131 51.30%
MostEffective vs Eddy 126–132 48.84%
MostEffective vs Victor 112–144 43.75%
MostEffective vs Alisa 149–95 61.07%
MostEffective vs Lidia 93–148 38.59%
MostEffective vs Fahkumram 122–116 51.26%
MostEffective vs Jack-8 98–130 42.98%
MostEffective vs Leroy 103–108 48.82%
MostEffective vs Miary Zo 95–105 47.50%
MostEffective vs Shaheen 107–86 55.44%
MostEffective vs Anna 74–95 43.79%
MostEffective vs Kuma 71–91 43.83%
MostEffective vs Armor King 74–76–1 49.33%
MostEffective vs Panda 34–31 52.31%

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.