Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Dr.Ken vs Bryan 294–337 46.59%
Dr.Ken vs Steve 248–244 50.41%
Dr.Ken vs Kazuya 229–259 46.93%
Dr.Ken vs Asuka 221–213 50.92%
Dr.Ken vs Dragunov 204–223 47.78%
Dr.Ken vs Paul 224–185–1 54.77%
Dr.Ken vs Hwoarang 194–212 47.78%
Dr.Ken vs Lars 198–202 49.50%
Dr.Ken vs Yoshimitsu 208–189 52.39%
Dr.Ken vs Heihachi 196–201 49.37%
Dr.Ken vs King 199–186 51.69%
Dr.Ken vs Jin 171–198 46.34%
Dr.Ken vs Lili 236–124 65.56%
Dr.Ken vs Alisa 181–171 51.42%
Dr.Ken vs Feng 212–128 62.35%
Dr.Ken vs Jack-8 135–202 40.06%
Dr.Ken vs Law 147–186 44.14%
Dr.Ken vs Azucena 167–161 50.91%
Dr.Ken vs Lee 144–178 44.72%
Dr.Ken vs Reina 170–152 52.80%
Dr.Ken vs Victor 138–181 43.26%
Dr.Ken vs Clive 146–166 46.79%
Dr.Ken vs Claudio 152–155 49.51%
Dr.Ken vs Xiaoyu 174–119 59.39%
Dr.Ken vs Devil Jin 121–148 44.98%
Dr.Ken vs Eddy 158–110 58.96%
Dr.Ken vs Shaheen 136–115 54.18%
Dr.Ken vs Zafina 126–119 51.43%
Dr.Ken vs Leroy 109–122 47.19%
Dr.Ken vs Raven 126–105 54.55%
Dr.Ken vs Lidia 109–116 48.44%
Dr.Ken vs Nina 106–111 48.85%
Dr.Ken vs Leo 118–98 54.63%
Dr.Ken vs Anna 125–86 59.24%
Dr.Ken vs Jun 100–95 51.28%
Dr.Ken vs Kuma 64–73 46.72%
Dr.Ken vs Fahkumram 58–72 44.62%
Dr.Ken vs Panda 45–55 45.00%
Dr.Ken vs Armor King 38–46 45.24%
Dr.Ken vs Miary Zo 11–17 39.29%

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.