Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

nameless vs Paul 212–210 50.24%
nameless vs Kazuya 183–232 44.10%
nameless vs Dragunov 189–222 45.99%
nameless vs Reina 214–155 57.99%
nameless vs Bryan 175–193 47.55%
nameless vs King 157–194 44.73%
nameless vs Hwoarang 169–173 49.42%
nameless vs Jin 130–176 42.48%
nameless vs Steve 136–143 48.75%
nameless vs Lili 108–115 48.43%
nameless vs Victor 130–83 61.03%
nameless vs Yoshimitsu 117–95 55.19%
nameless vs Armor King 81–119 40.50%
nameless vs Asuka 101–95 51.53%
nameless vs Devil Jin 90–87 50.85%
nameless vs Law 89–83 51.74%
nameless vs Azucena 76–91 45.51%
nameless vs Heihachi 79–84 48.47%
nameless vs Jun 70–82 46.05%
nameless vs Lidia 81–69 54.00%
nameless vs Feng 67–82 44.97%
nameless vs Lee 66–78 45.83%
nameless vs Lars 56–86 39.44%
nameless vs Alisa 58–80 42.03%
nameless vs Xiaoyu 71–66 51.82%
nameless vs Leroy 61–76 44.53%
nameless vs Leo 67–68 49.63%
nameless vs Nina 59–71 45.38%
nameless vs Claudio 57–59 49.14%
nameless vs Jack-8 46–52 46.94%
nameless vs Clive 38–55 40.86%
nameless vs Fahkumram 48–44 52.17%
nameless vs Zafina 34–49 40.96%
nameless vs Eddy 30–45 40.00%
nameless vs Shaheen 26–43 37.68%
nameless vs Kuma 30–38 44.12%
nameless vs Anna 22–45 32.84%
nameless vs Raven 32–27 54.24%
nameless vs Panda 22–19 53.66%
nameless vs Miary Zo 1–4 20.00%

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.