Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

unich vs Kazuya 248–253 49.50%
unich vs Bryan 229–207 52.52%
unich vs Jin 205–224 47.79%
unich vs Reina 181–161 52.92%
unich vs King 142–196 42.01%
unich vs Hwoarang 134–146 47.86%
unich vs Steve 124–154 44.60%
unich vs Dragunov 139–134 50.92%
unich vs Paul 114–154 42.54%
unich vs Lili 134–109 55.14%
unich vs Heihachi 105–119 46.88%
unich vs Devil Jin 95–115 45.24%
unich vs Asuka 103–103 50.00%
unich vs Lee 98–100 49.49%
unich vs Jun 90–92 49.45%
unich vs Yoshimitsu 80–86 48.19%
unich vs Feng 58–100 36.71%
unich vs Nina 65–66 49.62%
unich vs Lidia 61–62 49.59%
unich vs Alisa 60–61 49.59%
unich vs Law 57–56 50.44%
unich vs Victor 49–53 48.04%
unich vs Leroy 37–64 36.63%
unich vs Eddy 44–53 45.36%
unich vs Claudio 52–40 56.52%
unich vs Leo 35–49 41.67%
unich vs Azucena 39–44 46.99%
unich vs Xiaoyu 32–48 40.00%
unich vs Lars 34–44 43.59%
unich vs Shaheen 32–33 49.23%
unich vs Raven 27–33 45.00%
unich vs Jack-8 21–38 35.59%
unich vs Zafina 10–23 30.30%
unich vs Kuma 13–17 43.33%
unich vs Clive 13–6 68.42%
unich vs Panda 0–3 0.00%

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.