Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

thankyou vs Kazuya 138–55 71.50%
thankyou vs Jin 136–45 75.14%
thankyou vs Bryan 98–53 64.90%
thankyou vs Hwoarang 78–60 56.52%
thankyou vs King 82–40 67.21%
thankyou vs Reina 82–36 69.49%
thankyou vs Lee 76–41 64.96%
thankyou vs Steve 77–35 68.75%
thankyou vs Lidia 71–41 63.39%
thankyou vs Feng 63–45 58.33%
thankyou vs Lili 63–40 61.17%
thankyou vs Heihachi 63–28 69.23%
thankyou vs Yoshimitsu 58–31 65.17%
thankyou vs Devil Jin 55–33 62.50%
thankyou vs Dragunov 57–30 65.52%
thankyou vs Lars 63–23 73.26%
thankyou vs Eddy 47–35 57.32%
thankyou vs Law 57–24 70.37%
thankyou vs Alisa 47–34 58.02%
thankyou vs Paul 50–23 68.49%
thankyou vs Azucena 39–29 57.35%
thankyou vs Jun 36–31 53.73%
thankyou vs Xiaoyu 37–28 56.92%
thankyou vs Kuma 46–19 70.77%
thankyou vs Nina 36–25 59.02%
thankyou vs Victor 30–29 50.85%
thankyou vs Raven 39–20 66.10%
thankyou vs Asuka 41–16 71.93%
thankyou vs Leo 32–25 56.14%
thankyou vs Jack-8 36–19 65.45%
thankyou vs Leroy 28–22 56.00%
thankyou vs Claudio 21–16 56.76%
thankyou vs Shaheen 24–12 66.67%
thankyou vs Zafina 19–15 55.88%
thankyou vs Panda 17–12 58.62%

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.