Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

YOU LOSE LOL vs Heihachi 56–3 94.92%
YOU LOSE LOL vs Jin 35–3 92.11%
YOU LOSE LOL vs Kazuya 27–1 96.43%
YOU LOSE LOL vs King 23–4 85.19%
YOU LOSE LOL vs Reina 20–3 86.96%
YOU LOSE LOL vs Law 20–2 90.91%
YOU LOSE LOL vs Hwoarang 22–0 100.00%
YOU LOSE LOL vs Asuka 19–2 90.48%
YOU LOSE LOL vs Paul 17–3 85.00%
YOU LOSE LOL vs Dragunov 18–1 94.74%
YOU LOSE LOL vs Xiaoyu 17–1 94.44%
YOU LOSE LOL vs Lili 13–4 76.47%
YOU LOSE LOL vs Yoshimitsu 16–0 100.00%
YOU LOSE LOL vs Steve 13–3 81.25%
YOU LOSE LOL vs Lee 14–2 87.50%
YOU LOSE LOL vs Clive 13–3 81.25%
YOU LOSE LOL vs Bryan 14–1 93.33%
YOU LOSE LOL vs Jun 13–2 86.67%
YOU LOSE LOL vs Alisa 14–0 100.00%
YOU LOSE LOL vs Victor 12–2 85.71%
YOU LOSE LOL vs Devil Jin 12–1 92.31%
YOU LOSE LOL vs Azucena 11–0 100.00%
YOU LOSE LOL vs Lidia 10–1 90.91%
YOU LOSE LOL vs Zafina 10–0 100.00%
YOU LOSE LOL vs Raven 10–0 100.00%
YOU LOSE LOL vs Eddy 9–1 90.00%
YOU LOSE LOL vs Lars 7–0 100.00%
YOU LOSE LOL vs Claudio 7–0 100.00%
YOU LOSE LOL vs Feng 5–1 83.33%
YOU LOSE LOL vs Shaheen 5–0 100.00%
YOU LOSE LOL vs Nina 3–1 75.00%
YOU LOSE LOL vs Leroy 4–0 100.00%
YOU LOSE LOL vs Anna 3–0 100.00%
YOU LOSE LOL vs Leo 2–0 100.00%
YOU LOSE LOL vs Kuma 2–0 100.00%
YOU LOSE LOL vs Jack-8 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.