Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Optimize vs King 42–15 73.68%
Optimize vs Jin 33–18 64.71%
Optimize vs Eddy 32–15 68.09%
Optimize vs Hwoarang 38–7 84.44%
Optimize vs Kazuya 29–13 69.05%
Optimize vs Azucena 32–7 82.05%
Optimize vs Reina 28–7 80.00%
Optimize vs Steve 24–9 72.73%
Optimize vs Law 24–6 80.00%
Optimize vs Dragunov 17–13 56.67%
Optimize vs Lars 18–12 60.00%
Optimize vs Asuka 26–2 92.86%
Optimize vs Lee 22–6 78.57%
Optimize vs Bryan 15–10 60.00%
Optimize vs Victor 22–3 88.00%
Optimize vs Jun 21–2 91.30%
Optimize vs Feng 11–7 61.11%
Optimize vs Lili 16–2 88.89%
Optimize vs Leo 15–2 88.24%
Optimize vs Yoshimitsu 9–7 56.25%
Optimize vs Leroy 9–5 64.29%
Optimize vs Paul 6–7 46.15%
Optimize vs Claudio 5–8 38.46%
Optimize vs Raven 7–5 58.33%
Optimize vs Xiaoyu 6–5 54.55%
Optimize vs Alisa 9–2 81.82%
Optimize vs Nina 11–0 100.00%
Optimize vs Jack-8 6–3 66.67%
Optimize vs Devil Jin 5–4 55.56%
Optimize vs Shaheen 7–1 87.50%
Optimize vs Zafina 4–4 50.00%
Optimize vs Kuma 6–1 85.71%
Optimize vs Panda 3–0 100.00%

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.