Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

love vs King 93–63 59.62%
love vs Hwoarang 83–61 57.64%
love vs Reina 61–65 48.41%
love vs Jin 80–45 64.00%
love vs Steve 70–51 57.85%
love vs Kazuya 70–50 58.33%
love vs Bryan 66–50 56.90%
love vs Paul 47–58 44.76%
love vs Lili 63–36 63.64%
love vs Asuka 40–51 43.96%
love vs Law 37–52 41.57%
love vs Yoshimitsu 57–32 64.04%
love vs Lars 54–34 61.36%
love vs Lee 50–36 58.14%
love vs Dragunov 38–42 47.50%
love vs Raven 35–36 49.30%
love vs Heihachi 31–38 44.93%
love vs Jun 29–39 42.65%
love vs Xiaoyu 34–32 51.52%
love vs Azucena 39–27 59.09%
love vs Devil Jin 32–28 53.33%
love vs Eddy 27–31 46.55%
love vs Victor 32–25 56.14%
love vs Nina 28–28 50.00%
love vs Leo 31–24 56.36%
love vs Feng 22–30 42.31%
love vs Alisa 27–19 58.70%
love vs Kuma 14–26 35.00%
love vs Leroy 19–20 48.72%
love vs Jack-8 19–18 51.35%
love vs Claudio 14–19 42.42%
love vs Shaheen 11–15 42.31%
love vs Clive 11–14 44.00%
love vs Lidia 7–12 36.84%
love vs Zafina 10–8 55.56%
love vs Panda 6–6 50.00%

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.