Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Galvanite vs Kazuya 81–134 37.67%
Galvanite vs Jin 94–116 44.76%
Galvanite vs King 95–112 45.89%
Galvanite vs Bryan 73–94–1 43.71%
Galvanite vs Reina 70–89 44.03%
Galvanite vs Law 69–72 48.94%
Galvanite vs Steve 63–69 47.73%
Galvanite vs Hwoarang 44–80 35.48%
Galvanite vs Dragunov 51–73 41.13%
Galvanite vs Eddy 47–58 44.76%
Galvanite vs Lili 46–52 46.94%
Galvanite vs Yoshimitsu 43–50 46.24%
Galvanite vs Jun 39–48 44.83%
Galvanite vs Asuka 39–42 48.15%
Galvanite vs Azucena 44–35 55.70%
Galvanite vs Devil Jin 26–52 33.33%
Galvanite vs Lidia 29–47 38.16%
Galvanite vs Alisa 35–38 47.95%
Galvanite vs Victor 34–39 46.58%
Galvanite vs Lee 31–38 44.93%
Galvanite vs Heihachi 30–38 44.12%
Galvanite vs Feng 25–39 39.06%
Galvanite vs Nina 33–30 52.38%
Galvanite vs Lars 23–39 37.10%
Galvanite vs Paul 23–38 37.70%
Galvanite vs Xiaoyu 22–26 45.83%
Galvanite vs Leroy 13–27 32.50%
Galvanite vs Clive 18–22 45.00%
Galvanite vs Jack-8 13–21 38.24%
Galvanite vs Kuma 12–19 38.71%
Galvanite vs Raven 7–22 24.14%
Galvanite vs Claudio 8–13 38.10%
Galvanite vs Zafina 13–7 65.00%
Galvanite vs Shaheen 9–9 50.00%
Galvanite vs Fahkumram 9–9 50.00%
Galvanite vs Leo 6–7 46.15%
Galvanite vs Anna 6–5 54.55%
Galvanite vs Panda 5–4 55.56%
Galvanite vs Armor King 2–2 50.00%
Galvanite vs Miary Zo 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.