Waiting for Season 3? Try out c7, which now has Wavu Wank7.

Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

FaceAss vs Kazuya 24–32 42.86%
FaceAss vs King 25–27 48.08%
FaceAss vs Jin 19–31 38.00%
FaceAss vs Law 22–23 48.89%
FaceAss vs Anna 18–23 43.90%
FaceAss vs Jun 19–17 52.78%
FaceAss vs Hwoarang 17–18 48.57%
FaceAss vs Azucena 21–14 60.00%
FaceAss vs Steve 22–11 66.67%
FaceAss vs Bryan 17–15 53.12%
FaceAss vs Dragunov 20–12 62.50%
FaceAss vs Lars 10–22 31.25%
FaceAss vs Reina 12–17 41.38%
FaceAss vs Jack-8 19–8 70.37%
FaceAss vs Heihachi 17–10 62.96%
FaceAss vs Asuka 17–9 65.38%
FaceAss vs Yoshimitsu 13–12 52.00%
FaceAss vs Lili 11–14 44.00%
FaceAss vs Armor King 9–15 37.50%
FaceAss vs Devil Jin 9–14 39.13%
FaceAss vs Fahkumram 11–12 47.83%
FaceAss vs Paul 9–13 40.91%
FaceAss vs Claudio 11–11 50.00%
FaceAss vs Victor 8–12 40.00%
FaceAss vs Leo 12–7 63.16%
FaceAss vs Lee 4–14 22.22%
FaceAss vs Lidia 7–10 41.18%
FaceAss vs Alisa 6–10 37.50%
FaceAss vs Feng 5–10 33.33%
FaceAss vs Xiaoyu 5–9 35.71%
FaceAss vs Eddy 4–9 30.77%
FaceAss vs Clive 5–6 45.45%
FaceAss vs Nina 4–6 40.00%
FaceAss vs Leroy 4–6 40.00%
FaceAss vs Miary Zo 5–5 50.00%
FaceAss vs Shaheen 3–3 50.00%
FaceAss vs Kuma 4–1 80.00%
FaceAss vs Raven 2–3 40.00%
FaceAss vs Panda 2–2 50.00%
FaceAss vs Zafina 1–2 33.33%

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.