Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
fatality

Ratings

Name history

fatality
seoul&jeju
fatality vs Heihachi 138–141 49.46%
fatality vs Kazuya 104–108 49.06%
fatality vs Bryan 101–104 49.27%
fatality vs Paul 104–93 52.79%
fatality vs Reina 93–85 52.25%
fatality vs King 65–97 40.12%
fatality vs Dragunov 83–68 54.97%
fatality vs Asuka 64–75 46.04%
fatality vs Jin 57–71 44.53%
fatality vs Steve 62–57 52.10%
fatality vs Hwoarang 51–65 43.97%
fatality vs Yoshimitsu 62–40 60.78%
fatality vs Lili 38–62 38.00%
fatality vs Azucena 42–55 43.30%
fatality vs Jun 43–51 45.74%
fatality vs Law 35–56 38.46%
fatality vs Victor 34–56 37.78%
fatality vs Feng 38–51 42.70%
fatality vs Claudio 43–42 50.59%
fatality vs Devil Jin 36–46 43.90%
fatality vs Leo 25–46 35.21%
fatality vs Clive 22–43 33.85%
fatality vs Lee 26–34 43.33%
fatality vs Lidia 20–39 33.90%
fatality vs Alisa 20–37 35.09%
fatality vs Lars 21–32 39.62%
fatality vs Nina 20–33 37.74%
fatality vs Jack-8 22–29 43.14%
fatality vs Leroy 17–34 33.33%
fatality vs Zafina 22–23 48.89%
fatality vs Kuma 24–20 54.55%
fatality vs Xiaoyu 21–20 51.22%
fatality vs Shaheen 17–24 41.46%
fatality vs Eddy 18–17 51.43%
fatality vs Raven 15–18 45.45%
fatality vs Panda 9–13 40.91%

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.