Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

HowtobeUnique vs Lili 42–61 40.78%
HowtobeUnique vs Steve 54–47 53.47%
HowtobeUnique vs Devil Jin 52–47 52.53%
HowtobeUnique vs Jin 58–38 60.42%
HowtobeUnique vs King 42–48 46.67%
HowtobeUnique vs Kazuya 40–50 44.44%
HowtobeUnique vs Dragunov 42–45 48.28%
HowtobeUnique vs Reina 35–40 46.67%
HowtobeUnique vs Eddy 30–34 46.88%
HowtobeUnique vs Law 29–34 46.03%
HowtobeUnique vs Bryan 27–36 42.86%
HowtobeUnique vs Paul 20–40 33.33%
HowtobeUnique vs Yoshimitsu 26–32 44.83%
HowtobeUnique vs Hwoarang 33–24 57.89%
HowtobeUnique vs Victor 25–30 45.45%
HowtobeUnique vs Xiaoyu 27–22 55.10%
HowtobeUnique vs Lars 21–25 45.65%
HowtobeUnique vs Nina 18–24 42.86%
HowtobeUnique vs Jack-8 17–19 47.22%
HowtobeUnique vs Leroy 17–19 47.22%
HowtobeUnique vs Alisa 15–19 44.12%
HowtobeUnique vs Lee 23–11 67.65%
HowtobeUnique vs Asuka 14–19 42.42%
HowtobeUnique vs Feng 15–17 46.88%
HowtobeUnique vs Claudio 6–22 21.43%
HowtobeUnique vs Jun 15–12 55.56%
HowtobeUnique vs Azucena 10–15 40.00%
HowtobeUnique vs Shaheen 7–16 30.43%
HowtobeUnique vs Kuma 11–11 50.00%
HowtobeUnique vs Zafina 9–12 42.86%
HowtobeUnique vs Leo 13–7 65.00%
HowtobeUnique vs Panda 10–6 62.50%
HowtobeUnique vs Raven 9–7 56.25%
HowtobeUnique vs Lidia 1–4 20.00%
HowtobeUnique vs Heihachi 0–4 0.00%
HowtobeUnique vs Clive 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.