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

Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Arberig vs Reina 56–43 56.57%
Arberig vs Jin 37–48 43.53%
Arberig vs King 27–48 36.00%
Arberig vs Steve 37–33 52.86%
Arberig vs Kazuya 35–27 56.45%
Arberig vs Clive 28–27 50.91%
Arberig vs Dragunov 19–25 43.18%
Arberig vs Law 19–24 44.19%
Arberig vs Heihachi 23–20 53.49%
Arberig vs Hwoarang 21–20 51.22%
Arberig vs Bryan 16–25 39.02%
Arberig vs Lars 25–16 60.98%
Arberig vs Asuka 19–20 48.72%
Arberig vs Azucena 18–17 51.43%
Arberig vs Paul 19–15 55.88%
Arberig vs Eddy 10–20 33.33%
Arberig vs Yoshimitsu 17–12 58.62%
Arberig vs Jun 12–16 42.86%
Arberig vs Nina 14–11 56.00%
Arberig vs Lidia 14–10 58.33%
Arberig vs Leo 12–10 54.55%
Arberig vs Victor 9–12 42.86%
Arberig vs Miary Zo 12–8 60.00%
Arberig vs Xiaoyu 7–10 41.18%
Arberig vs Feng 9–8 52.94%
Arberig vs Lili 8–9 47.06%
Arberig vs Lee 7–10 41.18%
Arberig vs Kuma 10–6 62.50%
Arberig vs Alisa 7–8 46.67%
Arberig vs Leroy 11–4 73.33%
Arberig vs Devil Jin 5–9 35.71%
Arberig vs Anna 11–3 78.57%
Arberig vs Raven 6–7 46.15%
Arberig vs Zafina 5–5 50.00%
Arberig vs Claudio 4–5 44.44%
Arberig vs Armor King 4–5 44.44%
Arberig vs Panda 2–6 25.00%
Arberig vs Fahkumram 3–4 42.86%
Arberig vs Jack-8 3–3 50.00%
Arberig vs Shaheen 1–4 20.00%

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.