Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

나비효과 vs Kazuya 14–23 37.84%
나비효과 vs Asuka 15–18 45.45%
나비효과 vs Reina 16–15 51.61%
나비효과 vs King 10–17 37.04%
나비효과 vs Dragunov 13–12 52.00%
나비효과 vs Jin 8–16 33.33%
나비효과 vs Bryan 13–11 54.17%
나비효과 vs Lili 11–13 45.83%
나비효과 vs Steve 10–13 43.48%
나비효과 vs Azucena 9–14 39.13%
나비효과 vs Paul 9–12 42.86%
나비효과 vs Hwoarang 3–17 15.00%
나비효과 vs Victor 3–10 23.08%
나비효과 vs Jun 6–6 50.00%
나비효과 vs Law 1–9 10.00%
나비효과 vs Yoshimitsu 4–6 40.00%
나비효과 vs Xiaoyu 5–5 50.00%
나비효과 vs Shaheen 3–7 30.00%
나비효과 vs Leroy 4–6 40.00%
나비효과 vs Jack-8 3–6 33.33%
나비효과 vs Devil Jin 5–4 55.56%
나비효과 vs Feng 0–9 0.00%
나비효과 vs Alisa 5–4 55.56%
나비효과 vs Claudio 0–8 0.00%
나비효과 vs Leo 3–3 50.00%
나비효과 vs Eddy 1–5 16.67%
나비효과 vs Lars 3–2 60.00%
나비효과 vs Nina 2–2 50.00%
나비효과 vs Lee 1–3 25.00%
나비효과 vs Zafina 2–2 50.00%
나비효과 vs Lidia 0–4 0.00%
나비효과 vs Panda 2–1 66.67%
나비효과 vs Raven 2–1 66.67%
나비효과 vs Kuma 0–2 0.00%

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.