Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Biase vs Hwoarang 33–15 68.75%
Biase vs Eddy 33–11 75.00%
Biase vs Jin 22–17 56.41%
Biase vs Kazuya 18–19 48.65%
Biase vs Paul 23–9 71.88%
Biase vs Steve 12–14 46.15%
Biase vs Dragunov 14–12 53.85%
Biase vs King 16–9 64.00%
Biase vs Yoshimitsu 15–10 60.00%
Biase vs Bryan 11–12 47.83%
Biase vs Lili 13–10 56.52%
Biase vs Asuka 16–5 76.19%
Biase vs Law 12–8 60.00%
Biase vs Lars 14–6 70.00%
Biase vs Alisa 12–8 60.00%
Biase vs Nina 11–9 55.00%
Biase vs Feng 10–9 52.63%
Biase vs Reina 15–3 83.33%
Biase vs Devil Jin 7–10 41.18%
Biase vs Leroy 6–11 35.29%
Biase vs Jun 13–4 76.47%
Biase vs Victor 8–7 53.33%
Biase vs Lee 7–7 50.00%
Biase vs Xiaoyu 6–7 46.15%
Biase vs Azucena 11–1 91.67%
Biase vs Kuma 7–4 63.64%
Biase vs Raven 4–6 40.00%
Biase vs Jack-8 2–5 28.57%
Biase vs Claudio 5–2 71.43%
Biase vs Leo 6–0 100.00%
Biase vs Zafina 4–2 66.67%
Biase vs Heihachi 1–3 25.00%
Biase vs Anna 2–1 66.67%
Biase vs Panda 1–1 50.00%
Biase vs Shaheen 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.