Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
VF is Better

Ratings

VF is Better vs Law 67–18 78.82%
VF is Better vs Bryan 74–8 90.24%
VF is Better vs Jin 61–18 77.22%
VF is Better vs Reina 71–5 93.42%
VF is Better vs Steve 60–15 80.00%
VF is Better vs King 55–7 88.71%
VF is Better vs Lidia 53–6 89.83%
VF is Better vs Heihachi 42–17 71.19%
VF is Better vs Hwoarang 44–6 88.00%
VF is Better vs Lili 41–8 83.67%
VF is Better vs Nina 39–6 86.67%
VF is Better vs Lee 38–7 84.44%
VF is Better vs Lars 32–10 76.19%
VF is Better vs Dragunov 31–10 75.61%
VF is Better vs Jun 38–3 92.68%
VF is Better vs Raven 34–6 85.00%
VF is Better vs Kazuya 35–2 94.59%
VF is Better vs Yoshimitsu 32–3 91.43%
VF is Better vs Azucena 29–4 87.88%
VF is Better vs Asuka 22–10 68.75%
VF is Better vs Xiaoyu 27–3 90.00%
VF is Better vs Devil Jin 28–1 96.55%
VF is Better vs Zafina 23–5 82.14%
VF is Better vs Paul 21–6 77.78%
VF is Better vs Leo 24–2 92.31%
VF is Better vs Claudio 21–4 84.00%
VF is Better vs Victor 21–4 84.00%
VF is Better vs Eddy 16–5 76.19%
VF is Better vs Leroy 14–6 70.00%
VF is Better vs Feng 15–3 83.33%
VF is Better vs Shaheen 14–3 82.35%
VF is Better vs Kuma 16–1 94.12%
VF is Better vs Clive 9–7 56.25%
VF is Better vs Jack-8 12–3 80.00%
VF is Better vs Alisa 11–2 84.62%
VF is Better vs Panda 4–1 80.00%

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.