Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

be humble vs Bryan 30–2 93.75%
be humble vs Reina 25–5 83.33%
be humble vs Kazuya 24–3 88.89%
be humble vs Jin 24–1 96.00%
be humble vs Steve 22–1 95.65%
be humble vs Lidia 20–3 86.96%
be humble vs Law 15–7 68.18%
be humble vs Hwoarang 19–3 86.36%
be humble vs Lee 13–8 61.90%
be humble vs Yoshimitsu 16–4 80.00%
be humble vs Jack-8 20–0 100.00%
be humble vs Anna 18–1 94.74%
be humble vs Paul 16–2 88.89%
be humble vs Asuka 15–3 83.33%
be humble vs Dragunov 16–2 88.89%
be humble vs Feng 15–2 88.24%
be humble vs Leo 13–4 76.47%
be humble vs Raven 11–6 64.71%
be humble vs Alisa 11–5 68.75%
be humble vs Nina 13–3 81.25%
be humble vs Azucena 10–6 62.50%
be humble vs Leroy 11–3 78.57%
be humble vs Devil Jin 12–1 92.31%
be humble vs Lars 13–0 100.00%
be humble vs King 8–4 66.67%
be humble vs Fahkumram 8–4 66.67%
be humble vs Jun 9–1 90.00%
be humble vs Clive 10–0 100.00%
be humble vs Shaheen 8–0 100.00%
be humble vs Heihachi 7–1 87.50%
be humble vs Lili 7–0 100.00%
be humble vs Kuma 4–3 57.14%
be humble vs Eddy 4–3 57.14%
be humble vs Claudio 4–2 66.67%
be humble vs Victor 5–1 83.33%
be humble vs Xiaoyu 4–1 80.00%
be humble vs Zafina 2–1 66.67%
be humble vs Miary Zo 2–1 66.67%
be humble vs Panda 1–0 100.00%
be humble vs Armor King 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.