Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

__________ vs Kazuya 19–20 48.72%
__________ vs Steve 27–11 71.05%
__________ vs King 13–21 38.24%
__________ vs Azucena 20–12 62.50%
__________ vs Jin 19–9 67.86%
__________ vs Bryan 14–9 60.87%
__________ vs Feng 14–8 63.64%
__________ vs Heihachi 10–10 50.00%
__________ vs Devil Jin 16–3 84.21%
__________ vs Lars 11–8 57.89%
__________ vs Nina 11–8 57.89%
__________ vs Leroy 14–4 77.78%
__________ vs Yoshimitsu 11–6 64.71%
__________ vs Alisa 9–8 52.94%
__________ vs Lidia 7–10 41.18%
__________ vs Law 9–7 56.25%
__________ vs Hwoarang 11–5 68.75%
__________ vs Xiaoyu 13–3 81.25%
__________ vs Paul 8–7 53.33%
__________ vs Dragunov 12–1 92.31%
__________ vs Lili 10–2 83.33%
__________ vs Jun 10–2 83.33%
__________ vs Reina 6–6 50.00%
__________ vs Asuka 10–1 90.91%
__________ vs Lee 6–5 54.55%
__________ vs Zafina 5–5 50.00%
__________ vs Raven 4–6 40.00%
__________ vs Jack-8 6–2 75.00%
__________ vs Clive 4–4 50.00%
__________ vs Kuma 4–3 57.14%
__________ vs Victor 4–3 57.14%
__________ vs Eddy 4–2 66.67%
__________ vs Armor King 6–0 100.00%
__________ vs Leo 5–0 100.00%
__________ vs Shaheen 3–2 60.00%
__________ vs Claudio 2–1 66.67%
__________ vs Panda 2–1 66.67%
__________ vs Anna 2–1 66.67%
__________ vs Miary Zo 1–1 50.00%

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.