Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

machine
citizen dondus
kogmaw
Squirter
valorantdawg
seraphine
gigas
machine vs Steve 59–33 64.13%
machine vs Bryan 50–26 65.79%
machine vs Lili 35–34 50.72%
machine vs Hwoarang 37–31 54.41%
machine vs Jin 47–19 71.21%
machine vs Law 36–23 61.02%
machine vs Dragunov 32–27 54.24%
machine vs Paul 32–22 59.26%
machine vs Feng 23–29 44.23%
machine vs Lee 34–18 65.38%
machine vs Kazuya 36–15 70.59%
machine vs Jun 29–22 56.86%
machine vs King 26–23 53.06%
machine vs Kuma 20–28 41.67%
machine vs Yoshimitsu 26–19 57.78%
machine vs Clive 23–22 51.11%
machine vs Jack-8 24–13 64.86%
machine vs Reina 25–10 71.43%
machine vs Xiaoyu 17–15 53.12%
machine vs Devil Jin 18–13 58.06%
machine vs Claudio 20–10 66.67%
machine vs Zafina 15–14 51.72%
machine vs Raven 14–15 48.28%
machine vs Shaheen 16–12 57.14%
machine vs Azucena 12–13 48.00%
machine vs Leo 9–15 37.50%
machine vs Asuka 12–10 54.55%
machine vs Lars 12–10 54.55%
machine vs Eddy 7–14 33.33%
machine vs Victor 16–4 80.00%
machine vs Leroy 9–10 47.37%
machine vs Nina 10–8 55.56%
machine vs Panda 9–9 50.00%
machine vs Alisa 7–8 46.67%
machine vs Heihachi 6–8 42.86%
machine vs Lidia 0–4 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.