Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

mmmmmm
steve
noooooooo
mr.noone
noon
mmmmmm vs Kazuya 169–178 48.70%
mmmmmm vs Jin 160–173 48.05%
mmmmmm vs King 102–130 43.97%
mmmmmm vs Bryan 106–106 50.00%
mmmmmm vs Dragunov 113–96 54.07%
mmmmmm vs Law 87–88 49.71%
mmmmmm vs Steve 84–72 53.85%
mmmmmm vs Hwoarang 70–68 50.72%
mmmmmm vs Yoshimitsu 61–72 45.86%
mmmmmm vs Paul 50–71 41.32%
mmmmmm vs Reina 60–57 51.28%
mmmmmm vs Feng 51–63 44.74%
mmmmmm vs Lee 53–48 52.48%
mmmmmm vs Devil Jin 46–54 46.00%
mmmmmm vs Lili 35–45 43.75%
mmmmmm vs Nina 39–41 48.75%
mmmmmm vs Alisa 32–41 43.84%
mmmmmm vs Lidia 34–36 48.57%
mmmmmm vs Lars 29–37 43.94%
mmmmmm vs Xiaoyu 34–29 53.97%
mmmmmm vs Victor 29–33 46.77%
mmmmmm vs Eddy 30–29 50.85%
mmmmmm vs Asuka 23–34 40.35%
mmmmmm vs Jun 26–28 48.15%
mmmmmm vs Heihachi 30–23 56.60%
mmmmmm vs Leo 16–33 32.65%
mmmmmm vs Azucena 26–22 54.17%
mmmmmm vs Claudio 14–31 31.11%
mmmmmm vs Leroy 19–25 43.18%
mmmmmm vs Jack-8 15–22 40.54%
mmmmmm vs Kuma 17–14 54.84%
mmmmmm vs Raven 11–19 36.67%
mmmmmm vs Shaheen 12–15 44.44%
mmmmmm vs Zafina 13–13 50.00%
mmmmmm vs Clive 10–12 45.45%
mmmmmm vs Panda 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.