Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

and more vs Reina 111–121 47.84%
and more vs Kazuya 92–118 43.81%
and more vs Paul 75–124 37.69%
and more vs King 70–86 44.87%
and more vs Dragunov 53–88 37.59%
and more vs Jin 52–88 37.14%
and more vs Hwoarang 56–82 40.58%
and more vs Lili 52–85 37.96%
and more vs Steve 50–79–1 38.76%
and more vs Jun 53–68 43.80%
and more vs Devil Jin 36–72 33.33%
and more vs Victor 35–72 32.71%
and more vs Asuka 41–61 40.20%
and more vs Bryan 34–66 34.00%
and more vs Law 30–65 31.58%
and more vs Heihachi 45–44 50.56%
and more vs Azucena 27–59 31.40%
and more vs Yoshimitsu 34–37 47.89%
and more vs Feng 17–51 25.00%
and more vs Alisa 17–45 27.42%
and more vs Eddy 5–56 8.20%
and more vs Xiaoyu 25–32 43.86%
and more vs Jack-8 11–39 22.00%
and more vs Claudio 12–37 24.49%
and more vs Lee 16–31 34.04%
and more vs Lidia 18–24 42.86%
and more vs Leo 13–28 31.71%
and more vs Clive 15–20 42.86%
and more vs Lars 8–26 23.53%
and more vs Kuma 11–23 32.35%
and more vs Leroy 14–20 41.18%
and more vs Nina 10–22 31.25%
and more vs Shaheen 11–20 35.48%
and more vs Raven 8–10 44.44%
and more vs Zafina 2–15 11.76%
and more vs Panda 8–7 53.33%
and more vs Miary Zo 5–7 41.67%
and more vs Anna 3–8 27.27%
and more vs Fahkumram 3–7 30.00%
and more vs Armor King 1–0 100.00%

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.