Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Ragebait vs Kazuya 95–131 42.04%
Ragebait vs Jin 92–131 41.26%
Ragebait vs Hwoarang 98–88 52.69%
Ragebait vs King 69–96 41.82%
Ragebait vs Law 76–85 47.20%
Ragebait vs Bryan 68–80 45.95%
Ragebait vs Lili 53–63 45.69%
Ragebait vs Reina 60–55 52.17%
Ragebait vs Paul 41–57 41.84%
Ragebait vs Armor King 44–46 48.89%
Ragebait vs Dragunov 48–41 53.93%
Ragebait vs Eddy 38–51 42.70%
Ragebait vs Steve 32–53 37.65%
Ragebait vs Yoshimitsu 41–43 48.81%
Ragebait vs Jun 30–45 40.00%
Ragebait vs Devil Jin 35–39 47.30%
Ragebait vs Heihachi 35–35 50.00%
Ragebait vs Lee 26–43 37.68%
Ragebait vs Asuka 27–37 42.19%
Ragebait vs Alisa 32–31 50.79%
Ragebait vs Victor 33–27 55.00%
Ragebait vs Feng 20–38 34.48%
Ragebait vs Nina 24–32 42.86%
Ragebait vs Azucena 18–38 32.14%
Ragebait vs Xiaoyu 28–16 63.64%
Ragebait vs Lars 21–17 55.26%
Ragebait vs Leroy 20–16 55.56%
Ragebait vs Raven 15–20 42.86%
Ragebait vs Clive 14–19 42.42%
Ragebait vs Leo 17–15 53.12%
Ragebait vs Claudio 14–14 50.00%
Ragebait vs Lidia 11–17 39.29%
Ragebait vs Fahkumram 14–13 51.85%
Ragebait vs Jack-8 10–12 45.45%
Ragebait vs Anna 7–13 35.00%
Ragebait vs Miary Zo 8–12 40.00%
Ragebait vs Kuma 7–9 43.75%
Ragebait vs Shaheen 5–9 35.71%
Ragebait vs Zafina 4–9 30.77%
Ragebait vs Panda 0–1 0.00%

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.