Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Bimil vs Jin 34–31 52.31%
Bimil vs Kazuya 28–24 53.85%
Bimil vs Bryan 18–32 36.00%
Bimil vs Dragunov 24–16 60.00%
Bimil vs King 18–19 48.65%
Bimil vs Reina 18–17 51.43%
Bimil vs Hwoarang 19–11 63.33%
Bimil vs Heihachi 11–14 44.00%
Bimil vs Clive 9–16 36.00%
Bimil vs Victor 13–11 54.17%
Bimil vs Paul 15–8 65.22%
Bimil vs Asuka 6–13 31.58%
Bimil vs Steve 5–13 27.78%
Bimil vs Law 6–9 40.00%
Bimil vs Jun 6–9 40.00%
Bimil vs Yoshimitsu 8–6 57.14%
Bimil vs Lee 6–8 42.86%
Bimil vs Feng 6–6 50.00%
Bimil vs Lili 5–7 41.67%
Bimil vs Raven 9–3 75.00%
Bimil vs Claudio 6–4 60.00%
Bimil vs Eddy 8–2 80.00%
Bimil vs Xiaoyu 2–7 22.22%
Bimil vs Nina 4–4 50.00%
Bimil vs Lars 3–4 42.86%
Bimil vs Alisa 4–3 57.14%
Bimil vs Kuma 1–6 14.29%
Bimil vs Lidia 6–1 85.71%
Bimil vs Devil Jin 1–5 16.67%
Bimil vs Azucena 4–1 80.00%
Bimil vs Leo 0–4 0.00%
Bimil vs Leroy 0–4 0.00%
Bimil vs Jack-8 2–1 66.67%
Bimil vs Shaheen 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.