Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

NotBangshi vs Kazuya 25–13 65.79%
NotBangshi vs Heihachi 22–14 61.11%
NotBangshi vs Reina 25–8 75.76%
NotBangshi vs Dragunov 15–12 55.56%
NotBangshi vs Bryan 11–15 42.31%
NotBangshi vs Hwoarang 17–8 68.00%
NotBangshi vs Steve 17–8 68.00%
NotBangshi vs Jin 18–6 75.00%
NotBangshi vs King 15–8 65.22%
NotBangshi vs Law 12–10 54.55%
NotBangshi vs Fahkumram 12–10 54.55%
NotBangshi vs Paul 14–7 66.67%
NotBangshi vs Devil Jin 12–6 66.67%
NotBangshi vs Yoshimitsu 13–4 76.47%
NotBangshi vs Azucena 8–9 47.06%
NotBangshi vs Lee 9–7 56.25%
NotBangshi vs Lili 11–4 73.33%
NotBangshi vs Lars 8–5 61.54%
NotBangshi vs Nina 6–6 50.00%
NotBangshi vs Alisa 6–4 60.00%
NotBangshi vs Jun 5–5 50.00%
NotBangshi vs Asuka 6–1 85.71%
NotBangshi vs Feng 3–3 50.00%
NotBangshi vs Kuma 2–4 33.33%
NotBangshi vs Leroy 1–5 16.67%
NotBangshi vs Lidia 3–3 50.00%
NotBangshi vs Anna 4–2 66.67%
NotBangshi vs Leo 0–4 0.00%
NotBangshi vs Eddy 3–1 75.00%
NotBangshi vs Armor King 0–4 0.00%
NotBangshi vs Zafina 1–2 33.33%
NotBangshi vs Victor 2–1 66.67%
NotBangshi vs Raven 3–0 100.00%
NotBangshi vs Clive 0–3 0.00%
NotBangshi vs Miary Zo 0–3 0.00%
NotBangshi vs Claudio 1–1 50.00%
NotBangshi vs Xiaoyu 1–0 100.00%
NotBangshi vs Jack-8 1–0 100.00%
NotBangshi vs Panda 1–0 100.00%

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.