Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

gg u win
dogsh13t 8
slow
Learning Stick
gg u win vs Kazuya 73–57 56.15%
gg u win vs Bryan 71–32 68.93%
gg u win vs King 53–33 61.63%
gg u win vs Jin 48–37 56.47%
gg u win vs Lidia 39–45 46.43%
gg u win vs Reina 47–24 66.20%
gg u win vs Hwoarang 36–33 52.17%
gg u win vs Yoshimitsu 42–23 64.62%
gg u win vs Dragunov 35–29 54.69%
gg u win vs Paul 34–19 64.15%
gg u win vs Steve 32–17 65.31%
gg u win vs Devil Jin 25–24 51.02%
gg u win vs Lee 20–28 41.67%
gg u win vs Law 26–17 60.47%
gg u win vs Lili 28–15 65.12%
gg u win vs Victor 26–13 66.67%
gg u win vs Jun 28–10 73.68%
gg u win vs Lars 16–18 47.06%
gg u win vs Nina 21–12 63.64%
gg u win vs Azucena 22–11 66.67%
gg u win vs Asuka 19–10 65.52%
gg u win vs Xiaoyu 16–11 59.26%
gg u win vs Feng 19–7 73.08%
gg u win vs Kuma 9–17 34.62%
gg u win vs Eddy 12–13 48.00%
gg u win vs Alisa 11–10 52.38%
gg u win vs Claudio 13–7 65.00%
gg u win vs Zafina 7–10 41.18%
gg u win vs Jack-8 9–6 60.00%
gg u win vs Leo 6–8 42.86%
gg u win vs Leroy 7–6 53.85%
gg u win vs Raven 8–5 61.54%
gg u win vs Shaheen 3–2 60.00%
gg u win vs Panda 0–4 0.00%
gg u win vs Clive 3–1 75.00%
gg u win vs Heihachi 1–2 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.