Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

FlexBan vs Bryan 32–37 46.38%
FlexBan vs Reina 33–24 57.89%
FlexBan vs King 28–28 50.00%
FlexBan vs Jin 27–21 56.25%
FlexBan vs Dragunov 17–21 44.74%
FlexBan vs Azucena 18–14 56.25%
FlexBan vs Hwoarang 15–16 48.39%
FlexBan vs Lili 13–18 41.94%
FlexBan vs Paul 12–18 40.00%
FlexBan vs Xiaoyu 16–13 55.17%
FlexBan vs Steve 13–16 44.83%
FlexBan vs Jun 18–11 62.07%
FlexBan vs Eddy 11–16 40.74%
FlexBan vs Lee 12–14 46.15%
FlexBan vs Kazuya 15–10 60.00%
FlexBan vs Lars 15–8 65.22%
FlexBan vs Alisa 11–11 50.00%
FlexBan vs Feng 11–9 55.00%
FlexBan vs Devil Jin 8–11 42.11%
FlexBan vs Yoshimitsu 5–13 27.78%
FlexBan vs Nina 6–12 33.33%
FlexBan vs Victor 5–12 29.41%
FlexBan vs Law 6–9 40.00%
FlexBan vs Leo 11–4 73.33%
FlexBan vs Asuka 6–8 42.86%
FlexBan vs Leroy 6–7 46.15%
FlexBan vs Jack-8 6–4 60.00%
FlexBan vs Shaheen 7–3 70.00%
FlexBan vs Claudio 6–2 75.00%
FlexBan vs Kuma 5–3 62.50%
FlexBan vs Raven 3–5 37.50%
FlexBan vs Panda 0–2 0.00%
FlexBan vs Zafina 2–0 100.00%

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.