Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

LIFES A BITCH vs Jin 57–96 37.25%
LIFES A BITCH vs Kazuya 64–71 47.41%
LIFES A BITCH vs King 46–70 39.66%
LIFES A BITCH vs Reina 62–52 54.39%
LIFES A BITCH vs Yoshimitsu 42–42 50.00%
LIFES A BITCH vs Bryan 30–50 37.50%
LIFES A BITCH vs Lili 34–41 45.33%
LIFES A BITCH vs Steve 28–43 39.44%
LIFES A BITCH vs Hwoarang 26–41 38.81%
LIFES A BITCH vs Victor 25–40 38.46%
LIFES A BITCH vs Asuka 24–40 37.50%
LIFES A BITCH vs Dragunov 22–37 37.29%
LIFES A BITCH vs Jun 23–31 42.59%
LIFES A BITCH vs Azucena 21–32 39.62%
LIFES A BITCH vs Law 21–28 42.86%
LIFES A BITCH vs Devil Jin 21–28 42.86%
LIFES A BITCH vs Eddy 13–34 27.66%
LIFES A BITCH vs Paul 18–28 39.13%
LIFES A BITCH vs Lee 9–31 22.50%
LIFES A BITCH vs Leo 17–20 45.95%
LIFES A BITCH vs Leroy 11–23 32.35%
LIFES A BITCH vs Lars 12–20 37.50%
LIFES A BITCH vs Nina 11–20 35.48%
LIFES A BITCH vs Claudio 6–23 20.69%
LIFES A BITCH vs Feng 4–23 14.81%
LIFES A BITCH vs Xiaoyu 8–18 30.77%
LIFES A BITCH vs Kuma 10–12 45.45%
LIFES A BITCH vs Alisa 5–15 25.00%
LIFES A BITCH vs Shaheen 4–12 25.00%
LIFES A BITCH vs Raven 6–10 37.50%
LIFES A BITCH vs Jack-8 5–10 33.33%
LIFES A BITCH vs Zafina 5–3 62.50%
LIFES A BITCH vs Heihachi 4–1 80.00%
LIFES A BITCH vs Clive 1–2 33.33%
LIFES A BITCH vs Panda 0–2 0.00%

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.