Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Disperse vs Kazuya 108–63 63.16%
Disperse vs Bryan 100–49 67.11%
Disperse vs Reina 87–40 68.50%
Disperse vs Clive 52–64 44.83%
Disperse vs Jin 70–44 61.40%
Disperse vs King 64–49 56.64%
Disperse vs Heihachi 72–40 64.29%
Disperse vs Law 71–31 69.61%
Disperse vs Steve 48–50 48.98%
Disperse vs Miary Zo 59–36 62.11%
Disperse vs Dragunov 53–35 60.23%
Disperse vs Lee 46–31 59.74%
Disperse vs Hwoarang 46–25 64.79%
Disperse vs Lili 47–21 69.12%
Disperse vs Fahkumram 48–18 72.73%
Disperse vs Devil Jin 38–21 64.41%
Disperse vs Paul 31–27 53.45%
Disperse vs Asuka 33–20 62.26%
Disperse vs Eddy 29–24 54.72%
Disperse vs Lidia 31–19 62.00%
Disperse vs Jun 22–26 45.83%
Disperse vs Lars 24–23 51.06%
Disperse vs Xiaoyu 27–19 58.70%
Disperse vs Feng 26–20 56.52%
Disperse vs Armor King 30–16 65.22%
Disperse vs Yoshimitsu 24–21 53.33%
Disperse vs Azucena 25–19 56.82%
Disperse vs Alisa 24–18 57.14%
Disperse vs Victor 20–15 57.14%
Disperse vs Leo 17–17 50.00%
Disperse vs Claudio 21–12 63.64%
Disperse vs Nina 14–19 42.42%
Disperse vs Raven 18–15 54.55%
Disperse vs Kuma 16–13 55.17%
Disperse vs Shaheen 9–13 40.91%
Disperse vs Leroy 15–5 75.00%
Disperse vs Panda 9–6 60.00%
Disperse vs Jack-8 6–7 46.15%
Disperse vs Zafina 6–6 50.00%
Disperse vs Anna 3–6 33.33%

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.