Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

BlueBreadMold vs Reina 15–18 45.45%
BlueBreadMold vs Jin 11–13 45.83%
BlueBreadMold vs Hwoarang 12–10 54.55%
BlueBreadMold vs Kazuya 11–11 50.00%
BlueBreadMold vs Lili 15–7 68.18%
BlueBreadMold vs Victor 9–13 40.91%
BlueBreadMold vs Clive 10–12 45.45%
BlueBreadMold vs King 13–8 61.90%
BlueBreadMold vs Paul 12–7 63.16%
BlueBreadMold vs Steve 10–7 58.82%
BlueBreadMold vs Law 5–10 33.33%
BlueBreadMold vs Bryan 7–6 53.85%
BlueBreadMold vs Dragunov 3–10 23.08%
BlueBreadMold vs Xiaoyu 9–3 75.00%
BlueBreadMold vs Asuka 7–5 58.33%
BlueBreadMold vs Azucena 7–4 63.64%
BlueBreadMold vs Alisa 4–6 40.00%
BlueBreadMold vs Lee 3–7 30.00%
BlueBreadMold vs Yoshimitsu 6–3 66.67%
BlueBreadMold vs Jun 5–3 62.50%
BlueBreadMold vs Zafina 3–4 42.86%
BlueBreadMold vs Lidia 2–4 33.33%
BlueBreadMold vs Lars 0–5 0.00%
BlueBreadMold vs Nina 3–2 60.00%
BlueBreadMold vs Feng 2–2 50.00%
BlueBreadMold vs Shaheen 3–1 75.00%
BlueBreadMold vs Heihachi 0–4 0.00%
BlueBreadMold vs Devil Jin 2–1 66.67%
BlueBreadMold vs Leo 1–2 33.33%
BlueBreadMold vs Claudio 1–2 33.33%
BlueBreadMold vs Kuma 2–1 66.67%
BlueBreadMold vs Eddy 1–2 33.33%
BlueBreadMold vs Jack-8 2–0 100.00%
BlueBreadMold vs Leroy 0–2 0.00%
BlueBreadMold vs Anna 2–0 100.00%
BlueBreadMold vs Raven 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.