Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Amethyst vs Kazuya 105–114 47.95%
Amethyst vs Armor King 76–99 43.43%
Amethyst vs Bryan 93–81 53.45%
Amethyst vs Jin 84–82 50.60%
Amethyst vs Reina 59–56 51.30%
Amethyst vs King 49–58 45.79%
Amethyst vs Law 59–46 56.19%
Amethyst vs Paul 57–44 56.44%
Amethyst vs Hwoarang 49–48 50.52%
Amethyst vs Steve 56–39 58.95%
Amethyst vs Dragunov 45–26 63.38%
Amethyst vs Lili 34–35 49.28%
Amethyst vs Eddy 38–28 57.58%
Amethyst vs Yoshimitsu 33–29 53.23%
Amethyst vs Jun 35–26 57.38%
Amethyst vs Lee 33–26 55.93%
Amethyst vs Lars 27–26 50.94%
Amethyst vs Nina 24–29 45.28%
Amethyst vs Victor 26–22 54.17%
Amethyst vs Azucena 30–17 63.83%
Amethyst vs Devil Jin 19–27 41.30%
Amethyst vs Feng 18–21 46.15%
Amethyst vs Asuka 18–19 48.65%
Amethyst vs Xiaoyu 17–18 48.57%
Amethyst vs Heihachi 15–19 44.12%
Amethyst vs Jack-8 16–17 48.48%
Amethyst vs Leroy 16–17 48.48%
Amethyst vs Kuma 11–20 35.48%
Amethyst vs Miary Zo 13–18 41.94%
Amethyst vs Leo 11–18 37.93%
Amethyst vs Fahkumram 13–15 46.43%
Amethyst vs Clive 13–11 54.17%
Amethyst vs Alisa 17–6 73.91%
Amethyst vs Lidia 11–12 47.83%
Amethyst vs Claudio 8–14 36.36%
Amethyst vs Shaheen 9–11 45.00%
Amethyst vs Zafina 9–9 50.00%
Amethyst vs Panda 9–5 64.29%
Amethyst vs Raven 6–5 54.55%
Amethyst vs Anna 4–6 40.00%

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.