Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
와닷!아뵤오오옹!

Ratings

와닷!아뵤오오옹! vs King 52–51 50.49%
와닷!아뵤오오옹! vs Hwoarang 40–46 46.51%
와닷!아뵤오오옹! vs Paul 50–32 60.98%
와닷!아뵤오오옹! vs Dragunov 39–34 53.42%
와닷!아뵤오오옹! vs Jin 41–30 57.75%
와닷!아뵤오오옹! vs Lili 33–37 47.14%
와닷!아뵤오오옹! vs Bryan 32–37 46.38%
와닷!아뵤오오옹! vs Kazuya 40–27 59.70%
와닷!아뵤오오옹! vs Asuka 35–25 58.33%
와닷!아뵤오오옹! vs Yoshimitsu 21–33 38.89%
와닷!아뵤오오옹! vs Steve 37–17 68.52%
와닷!아뵤오오옹! vs Devil Jin 25–26 49.02%
와닷!아뵤오오옹! vs Reina 29–17 63.04%
와닷!아뵤오오옹! vs Lars 17–24 41.46%
와닷!아뵤오오옹! vs Law 28–11 71.79%
와닷!아뵤오오옹! vs Jack-8 24–12 66.67%
와닷!아뵤오오옹! vs Xiaoyu 16–16 50.00%
와닷!아뵤오오옹! vs Azucena 17–15 53.12%
와닷!아뵤오오옹! vs Nina 10–20 33.33%
와닷!아뵤오오옹! vs Lee 14–14 50.00%
와닷!아뵤오오옹! vs Jun 18–10 64.29%
와닷!아뵤오오옹! vs Victor 16–12 57.14%
와닷!아뵤오오옹! vs Leo 18–8 69.23%
와닷!아뵤오오옹! vs Eddy 16–8 66.67%
와닷!아뵤오오옹! vs Heihachi 14–10 58.33%
와닷!아뵤오오옹! vs Feng 16–6 72.73%
와닷!아뵤오오옹! vs Leroy 10–11 47.62%
와닷!아뵤오오옹! vs Claudio 9–10 47.37%
와닷!아뵤오오옹! vs Anna 10–9 52.63%
와닷!아뵤오오옹! vs Armor King 8–11 42.11%
와닷!아뵤오오옹! vs Alisa 7–11 38.89%
와닷!아뵤오오옹! vs Lidia 7–9 43.75%
와닷!아뵤오오옹! vs Raven 6–5 54.55%
와닷!아뵤오오옹! vs Shaheen 3–7 30.00%
와닷!아뵤오오옹! vs Zafina 6–2 75.00%
와닷!아뵤오오옹! vs Clive 2–3 40.00%
와닷!아뵤오오옹! vs Miary Zo 3–2 60.00%
와닷!아뵤오오옹! vs Kuma 3–1 75.00%
와닷!아뵤오오옹! vs Panda 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.