Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

mocha vs King 70–79 46.98%
mocha vs Reina 76–61 55.47%
mocha vs Hwoarang 68–57 54.40%
mocha vs Dragunov 44–68 39.29%
mocha vs Jin 56–53 51.38%
mocha vs Law 56–51 52.34%
mocha vs Kazuya 63–44 58.88%
mocha vs Paul 45–59 43.27%
mocha vs Asuka 51–45 53.12%
mocha vs Bryan 41–50 45.05%
mocha vs Victor 30–51 37.04%
mocha vs Nina 37–41 47.44%
mocha vs Azucena 35–37 48.61%
mocha vs Feng 33–33–1 50.00%
mocha vs Jun 34–31 52.31%
mocha vs Xiaoyu 28–35 44.44%
mocha vs Lili 25–29 46.30%
mocha vs Yoshimitsu 25–28 47.17%
mocha vs Leo 21–32 39.62%
mocha vs Alisa 18–35 33.96%
mocha vs Steve 22–29 43.14%
mocha vs Claudio 15–35 30.00%
mocha vs Lidia 23–27 46.00%
mocha vs Lee 21–23 47.73%
mocha vs Devil Jin 17–26 39.53%
mocha vs Lars 22–20 52.38%
mocha vs Eddy 16–24 40.00%
mocha vs Jack-8 17–22 43.59%
mocha vs Raven 19–19 50.00%
mocha vs Leroy 25–9 73.53%
mocha vs Zafina 8–24 25.00%
mocha vs Heihachi 13–18 41.94%
mocha vs Kuma 10–16 38.46%
mocha vs Panda 10–12 45.45%
mocha vs Shaheen 8–11 42.11%
mocha vs Clive 4–7 36.36%

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.