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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

cPhoenix vs Lili 82–58 58.57%
cPhoenix vs Yoshimitsu 78–46 62.90%
cPhoenix vs Steve 68–43 61.26%
cPhoenix vs Nina 66–44 60.00%
cPhoenix vs Lars 49–59 45.37%
cPhoenix vs Jin 71–35 66.98%
cPhoenix vs Feng 49–53 48.04%
cPhoenix vs Kazuya 56–41 57.73%
cPhoenix vs Law 55–34 61.80%
cPhoenix vs Bryan 49–40 55.06%
cPhoenix vs Lee 53–36 59.55%
cPhoenix vs Dragunov 38–45 45.78%
cPhoenix vs King 49–31 61.25%
cPhoenix vs Hwoarang 41–38 51.90%
cPhoenix vs Devil Jin 42–35 54.55%
cPhoenix vs Zafina 45–27 62.50%
cPhoenix vs Eddy 35–37 48.61%
cPhoenix vs Leo 37–33 52.86%
cPhoenix vs Raven 34–31 52.31%
cPhoenix vs Victor 37–26 58.73%
cPhoenix vs Alisa 41–21 66.13%
cPhoenix vs Paul 39–21 65.00%
cPhoenix vs Asuka 34–26 56.67%
cPhoenix vs Reina 32–27 54.24%
cPhoenix vs Heihachi 32–24 57.14%
cPhoenix vs Jun 33–19 63.46%
cPhoenix vs Jack-8 28–21 57.14%
cPhoenix vs Armor King 33–16 67.35%
cPhoenix vs Shaheen 29–16 64.44%
cPhoenix vs Azucena 26–18 59.09%
cPhoenix vs Claudio 16–27 37.21%
cPhoenix vs Leroy 25–13 65.79%
cPhoenix vs Xiaoyu 25–5 83.33%
cPhoenix vs Kuma 18–9 66.67%
cPhoenix vs Fahkumram 18–9 66.67%
cPhoenix vs Miary Zo 17–10 62.96%
cPhoenix vs Panda 7–13 35.00%
cPhoenix vs Anna 5–9 35.71%
cPhoenix vs Lidia 7–5 58.33%
cPhoenix vs Clive 4–5 44.44%

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.