Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

kabutoni vs Heihachi 63–64 49.61%
kabutoni vs Bryan 57–48 54.29%
kabutoni vs Hwoarang 44–44 50.00%
kabutoni vs King 48–39 55.17%
kabutoni vs Kazuya 37–39 48.68%
kabutoni vs Dragunov 39–36 52.00%
kabutoni vs Jin 41–33 55.41%
kabutoni vs Lili 41–28 59.42%
kabutoni vs Paul 33–32 50.77%
kabutoni vs Law 38–23 62.30%
kabutoni vs Alisa 45–16 73.77%
kabutoni vs Reina 31–28 52.54%
kabutoni vs Yoshimitsu 30–27 52.63%
kabutoni vs Devil Jin 25–28 47.17%
kabutoni vs Steve 25–23 52.08%
kabutoni vs Asuka 25–23 52.08%
kabutoni vs Feng 34–13 72.34%
kabutoni vs Lars 28–19 59.57%
kabutoni vs Lee 26–20 56.52%
kabutoni vs Armor King 28–18 60.87%
kabutoni vs Nina 26–17 60.47%
kabutoni vs Leroy 24–15 61.54%
kabutoni vs Azucena 18–19 48.65%
kabutoni vs Jack-8 21–13 61.76%
kabutoni vs Jun 12–21 36.36%
kabutoni vs Victor 20–13 60.61%
kabutoni vs Xiaoyu 16–15 51.61%
kabutoni vs Claudio 16–15 51.61%
kabutoni vs Eddy 11–18 37.93%
kabutoni vs Lidia 13–11 54.17%
kabutoni vs Leo 9–14 39.13%
kabutoni vs Clive 12–11 52.17%
kabutoni vs Fahkumram 14–8 63.64%
kabutoni vs Kuma 11–10 52.38%
kabutoni vs Miary Zo 13–7 65.00%
kabutoni vs Anna 5–13 27.78%
kabutoni vs Shaheen 9–7 56.25%
kabutoni vs Panda 8–7 53.33%
kabutoni vs Zafina 6–8 42.86%
kabutoni vs Raven 8–4 66.67%

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.