Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Big As Heaux vs Heihachi 51–62 45.13%
Big As Heaux vs Kazuya 48–45 51.61%
Big As Heaux vs Reina 31–52 37.35%
Big As Heaux vs Bryan 42–33 56.00%
Big As Heaux vs Steve 36–32 52.94%
Big As Heaux vs King 37–27 57.81%
Big As Heaux vs Hwoarang 32–28 53.33%
Big As Heaux vs Jin 32–23 58.18%
Big As Heaux vs Yoshimitsu 26–27 49.06%
Big As Heaux vs Lili 28–24 53.85%
Big As Heaux vs Lee 26–23 53.06%
Big As Heaux vs Jun 25–21 54.35%
Big As Heaux vs Azucena 28–12 70.00%
Big As Heaux vs Lars 22–15 59.46%
Big As Heaux vs Law 23–13 63.89%
Big As Heaux vs Paul 22–12 64.71%
Big As Heaux vs Xiaoyu 18–12 60.00%
Big As Heaux vs Dragunov 13–17 43.33%
Big As Heaux vs Feng 16–13 55.17%
Big As Heaux vs Victor 20–8 71.43%
Big As Heaux vs Nina 17–9 65.38%
Big As Heaux vs Asuka 12–13 48.00%
Big As Heaux vs Lidia 17–8 68.00%
Big As Heaux vs Devil Jin 7–15 31.82%
Big As Heaux vs Leo 9–11 45.00%
Big As Heaux vs Alisa 10–10 50.00%
Big As Heaux vs Raven 10–7 58.82%
Big As Heaux vs Leroy 7–9 43.75%
Big As Heaux vs Jack-8 7–8 46.67%
Big As Heaux vs Claudio 8–6 57.14%
Big As Heaux vs Kuma 8–6 57.14%
Big As Heaux vs Shaheen 6–7 46.15%
Big As Heaux vs Zafina 4–8 33.33%
Big As Heaux vs Eddy 5–6 45.45%
Big As Heaux vs Panda 1–3 25.00%
Big As Heaux vs Clive 2–2 50.00%

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.