Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

lose zero vs King 22–7 75.86%
lose zero vs Hwoarang 18–10 64.29%
lose zero vs Reina 15–8 65.22%
lose zero vs Steve 12–10 54.55%
lose zero vs Kazuya 10–10 50.00%
lose zero vs Dragunov 15–5 75.00%
lose zero vs Jun 14–4 77.78%
lose zero vs Bryan 14–3 82.35%
lose zero vs Jin 8–8 50.00%
lose zero vs Devil Jin 14–2 87.50%
lose zero vs Claudio 11–4 73.33%
lose zero vs Paul 9–5 64.29%
lose zero vs Alisa 6–7 46.15%
lose zero vs Feng 7–5 58.33%
lose zero vs Lee 6–6 50.00%
lose zero vs Eddy 9–3 75.00%
lose zero vs Lili 8–3 72.73%
lose zero vs Asuka 7–3 70.00%
lose zero vs Leroy 7–2 77.78%
lose zero vs Azucena 7–2 77.78%
lose zero vs Victor 6–3 66.67%
lose zero vs Xiaoyu 7–1 87.50%
lose zero vs Lars 4–4 50.00%
lose zero vs Law 5–2 71.43%
lose zero vs Heihachi 6–1 85.71%
lose zero vs Nina 6–0 100.00%
lose zero vs Lidia 4–2 66.67%
lose zero vs Yoshimitsu 4–1 80.00%
lose zero vs Kuma 3–2 60.00%
lose zero vs Jack-8 2–1 66.67%
lose zero vs Leo 1–2 33.33%
lose zero vs Zafina 2–1 66.67%
lose zero vs Fahkumram 3–0 100.00%
lose zero vs Anna 1–1 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.