Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

DEGOSTUS vs Kazuya 120–90 57.14%
DEGOSTUS vs King 75–73 50.68%
DEGOSTUS vs Jin 57–60–1 48.72%
DEGOSTUS vs Dragunov 60–50–1 54.55%
DEGOSTUS vs Law 50–47 51.55%
DEGOSTUS vs Reina 54–42 56.25%
DEGOSTUS vs Bryan 48–44 52.17%
DEGOSTUS vs Steve 54–34 61.36%
DEGOSTUS vs Hwoarang 50–32 60.98%
DEGOSTUS vs Heihachi 44–31 58.67%
DEGOSTUS vs Paul 45–29 60.81%
DEGOSTUS vs Lili 34–31 52.31%
DEGOSTUS vs Devil Jin 37–24 60.66%
DEGOSTUS vs Fahkumram 34–17 66.67%
DEGOSTUS vs Armor King 29–21 58.00%
DEGOSTUS vs Eddy 31–17 64.58%
DEGOSTUS vs Leroy 26–17 60.47%
DEGOSTUS vs Alisa 27–15 64.29%
DEGOSTUS vs Nina 16–26 38.10%
DEGOSTUS vs Asuka 21–18 53.85%
DEGOSTUS vs Yoshimitsu 13–23 36.11%
DEGOSTUS vs Jun 22–14 61.11%
DEGOSTUS vs Raven 22–14 61.11%
DEGOSTUS vs Anna 27–9 75.00%
DEGOSTUS vs Xiaoyu 17–17 50.00%
DEGOSTUS vs Jack-8 25–8 75.76%
DEGOSTUS vs Lee 18–15 54.55%
DEGOSTUS vs Azucena 18–15 54.55%
DEGOSTUS vs Lidia 14–19 42.42%
DEGOSTUS vs Clive 19–14 57.58%
DEGOSTUS vs Victor 16–16 50.00%
DEGOSTUS vs Feng 13–18 41.94%
DEGOSTUS vs Claudio 12–13 48.00%
DEGOSTUS vs Lars 11–11 50.00%
DEGOSTUS vs Shaheen 12–7 63.16%
DEGOSTUS vs Kuma 6–8 42.86%
DEGOSTUS vs Zafina 7–6 53.85%
DEGOSTUS vs Miary Zo 8–5 61.54%
DEGOSTUS vs Panda 6–6 50.00%
DEGOSTUS vs Leo 6–2 75.00%

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.