Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

helpme vs Dragunov 476–310 60.56%
helpme vs Bryan 486–266–1 64.63%
helpme vs Hwoarang 496–240 67.39%
helpme vs Kazuya 476–223 68.10%
helpme vs Steve 430–208 67.40%
helpme vs Jin 328–185 63.94%
helpme vs Jack-8 326–183 64.05%
helpme vs Feng 312–190 62.15%
helpme vs Asuka 335–160 67.68%
helpme vs Victor 301–170 63.91%
helpme vs Xiaoyu 322–143 69.25%
helpme vs Yoshimitsu 291–171 62.99%
helpme vs Raven 299–147 67.04%
helpme vs Claudio 253–190 57.11%
helpme vs Lee 282–157 64.24%
helpme vs Reina 261–142 64.76%
helpme vs Nina 246–155 61.35%
helpme vs Lili 245–152 61.71%
helpme vs Jun 262–131 66.67%
helpme vs Lars 237–150 61.24%
helpme vs Azucena 219–151 59.19%
helpme vs Heihachi 235–122 65.83%
helpme vs Leroy 218–126 63.37%
helpme vs Law 222–110 66.87%
helpme vs Alisa 202–130 60.84%
helpme vs King 257–74 77.64%
helpme vs Shaheen 198–118–1 62.66%
helpme vs Devil Jin 213–101 67.83%
helpme vs Paul 190–121 61.09%
helpme vs Zafina 183–107 63.10%
helpme vs Eddy 179–95 65.33%
helpme vs Leo 161–72 69.10%
helpme vs Lidia 119–82 59.20%
helpme vs Kuma 122–71 63.21%
helpme vs Fahkumram 122–71 63.21%
helpme vs Clive 101–70 59.06%
helpme vs Anna 94–54 63.51%
helpme vs Armor King 102–36 73.91%
helpme vs Panda 91–42 68.42%
helpme vs Miary Zo 73–33 68.87%

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.