Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
big tobacco

Ratings

big tobacco vs Jin 36–36 50.00%
big tobacco vs King 26–36 41.94%
big tobacco vs Steve 26–31 45.61%
big tobacco vs Kazuya 30–23 56.60%
big tobacco vs Reina 29–23 55.77%
big tobacco vs Hwoarang 20–31 39.22%
big tobacco vs Eddy 23–27 46.00%
big tobacco vs Dragunov 22–19 53.66%
big tobacco vs Law 14–26 35.00%
big tobacco vs Lee 15–20 42.86%
big tobacco vs Lili 13–21 38.24%
big tobacco vs Yoshimitsu 15–18 45.45%
big tobacco vs Feng 12–20 37.50%
big tobacco vs Victor 12–20 37.50%
big tobacco vs Jun 11–17 39.29%
big tobacco vs Xiaoyu 13–12 52.00%
big tobacco vs Bryan 13–12 52.00%
big tobacco vs Azucena 15–10 60.00%
big tobacco vs Leo 10–14 41.67%
big tobacco vs Leroy 15–7 68.18%
big tobacco vs Jack-8 6–14 30.00%
big tobacco vs Alisa 7–13 35.00%
big tobacco vs Raven 10–10 50.00%
big tobacco vs Lars 7–12 36.84%
big tobacco vs Asuka 8–10 44.44%
big tobacco vs Kuma 7–10 41.18%
big tobacco vs Lidia 10–7 58.82%
big tobacco vs Nina 7–9 43.75%
big tobacco vs Heihachi 6–8 42.86%
big tobacco vs Paul 3–10 23.08%
big tobacco vs Claudio 5–8 38.46%
big tobacco vs Shaheen 6–6 50.00%
big tobacco vs Zafina 6–4 60.00%
big tobacco vs Panda 2–7 22.22%
big tobacco vs Devil Jin 5–2 71.43%
big tobacco vs Clive 2–2 50.00%
big tobacco vs Anna 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.