Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
AzureBeast
3RQM-YtJj-QiBT xbox AzureBeast7241 America

Ratings

AzureBeast vs King 104–78 57.14%
AzureBeast vs Kazuya 86–86 50.00%
AzureBeast vs Reina 93–77 54.71%
AzureBeast vs Steve 87–73 54.37%
AzureBeast vs Jin 92–67 57.86%
AzureBeast vs Lidia 80–56 58.82%
AzureBeast vs Law 60–68 46.88%
AzureBeast vs Dragunov 61–60 50.41%
AzureBeast vs Bryan 62–50 55.36%
AzureBeast vs Yoshimitsu 54–49 52.43%
AzureBeast vs Hwoarang 53–45 54.08%
AzureBeast vs Heihachi 37–51 42.05%
AzureBeast vs Paul 43–44 49.43%
AzureBeast vs Lili 38–45 45.78%
AzureBeast vs Azucena 36–47 43.37%
AzureBeast vs Asuka 38–38 50.00%
AzureBeast vs Jun 43–33 56.58%
AzureBeast vs Lars 39–36 52.00%
AzureBeast vs Lee 32–38 45.71%
AzureBeast vs Jack-8 24–34 41.38%
AzureBeast vs Nina 30–27 52.63%
AzureBeast vs Eddy 29–24 54.72%
AzureBeast vs Leroy 23–28 45.10%
AzureBeast vs Leo 25–24 51.02%
AzureBeast vs Xiaoyu 24–24 50.00%
AzureBeast vs Victor 19–29 39.58%
AzureBeast vs Alisa 26–20 56.52%
AzureBeast vs Clive 23–23 50.00%
AzureBeast vs Devil Jin 19–21 47.50%
AzureBeast vs Kuma 17–21 44.74%
AzureBeast vs Feng 23–14 62.16%
AzureBeast vs Raven 14–19 42.42%
AzureBeast vs Zafina 16–12 57.14%
AzureBeast vs Claudio 15–11 57.69%
AzureBeast vs Shaheen 4–7 36.36%
AzureBeast vs Panda 6–5 54.55%

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.