Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

WildBlue vs Kazuya 22–8 73.33%
WildBlue vs King 24–5 82.76%
WildBlue vs Reina 22–7 75.86%
WildBlue vs Law 22–4 84.62%
WildBlue vs Jin 17–7 70.83%
WildBlue vs Feng 18–5 78.26%
WildBlue vs Devil Jin 14–8 63.64%
WildBlue vs Dragunov 13–5 72.22%
WildBlue vs Eddy 14–4 77.78%
WildBlue vs Hwoarang 12–5 70.59%
WildBlue vs Paul 14–2 87.50%
WildBlue vs Heihachi 11–3 78.57%
WildBlue vs Steve 12–0 100.00%
WildBlue vs Jun 11–1 91.67%
WildBlue vs Bryan 9–2 81.82%
WildBlue vs Leo 10–1 90.91%
WildBlue vs Alisa 7–2 77.78%
WildBlue vs Azucena 5–3 62.50%
WildBlue vs Victor 7–1 87.50%
WildBlue vs Lars 2–5 28.57%
WildBlue vs Kuma 3–3 50.00%
WildBlue vs Yoshimitsu 4–1 80.00%
WildBlue vs Xiaoyu 1–4 20.00%
WildBlue vs Jack-8 1–4 20.00%
WildBlue vs Lili 3–2 60.00%
WildBlue vs Lee 3–2 60.00%
WildBlue vs Shaheen 3–1 75.00%
WildBlue vs Nina 3–1 75.00%
WildBlue vs Asuka 2–0 100.00%
WildBlue vs Zafina 2–0 100.00%
WildBlue vs Lidia 2–0 100.00%

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.