Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

nmun vs King 15–16 48.39%
nmun vs Victor 17–14 54.84%
nmun vs Reina 19–11 63.33%
nmun vs Paul 18–10 64.29%
nmun vs Jun 16–10 61.54%
nmun vs Jin 11–12 47.83%
nmun vs Asuka 14–7 66.67%
nmun vs Dragunov 13–8 61.90%
nmun vs Hwoarang 11–7 61.11%
nmun vs Steve 12–6 66.67%
nmun vs Azucena 10–8 55.56%
nmun vs Kazuya 11–6 64.71%
nmun vs Lili 7–10 41.18%
nmun vs Devil Jin 7–9 43.75%
nmun vs Alisa 12–4 75.00%
nmun vs Yoshimitsu 8–7 53.33%
nmun vs Nina 5–8 38.46%
nmun vs Feng 9–3 75.00%
nmun vs Lars 5–7 41.67%
nmun vs Claudio 5–7 41.67%
nmun vs Leo 7–4 63.64%
nmun vs Lee 5–4 55.56%
nmun vs Eddy 3–6 33.33%
nmun vs Law 8–0 100.00%
nmun vs Bryan 5–2 71.43%
nmun vs Xiaoyu 5–1 83.33%
nmun vs Leroy 3–3 50.00%
nmun vs Shaheen 0–4 0.00%
nmun vs Jack-8 0–3 0.00%
nmun vs Zafina 1–2 33.33%
nmun vs Kuma 2–0 100.00%
nmun vs Panda 2–0 100.00%

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.