Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Phoenix vs Hwoarang 172–185 48.18%
Phoenix vs King 126–214–1 37.06%
Phoenix vs Dragunov 159–151 51.29%
Phoenix vs Jin 123–144 46.07%
Phoenix vs Paul 124–114 52.10%
Phoenix vs Yoshimitsu 135–101 57.20%
Phoenix vs Lili 124–105–1 54.15%
Phoenix vs Bryan 113–112 50.22%
Phoenix vs Reina 120–101 54.30%
Phoenix vs Law 112–97 53.59%
Phoenix vs Kazuya 94–115 44.98%
Phoenix vs Victor 109–95 53.43%
Phoenix vs Asuka 79–101 43.89%
Phoenix vs Steve 94–81–1 53.71%
Phoenix vs Xiaoyu 14–144–5 8.86%
Phoenix vs Feng 77–80 49.04%
Phoenix vs Nina 80–75 51.61%
Phoenix vs Lars 76–78 49.35%
Phoenix vs Azucena 83–66 55.70%
Phoenix vs Jun 73–75 49.32%
Phoenix vs Eddy 76–60 55.88%
Phoenix vs Alisa 51–78–1 39.53%
Phoenix vs Devil Jin 47–82 36.43%
Phoenix vs Lee 64–61 51.20%
Phoenix vs Jack-8 53–63 45.69%
Phoenix vs Leo 52–63 45.22%
Phoenix vs Leroy 60–51 54.05%
Phoenix vs Claudio 44–54 44.90%
Phoenix vs Raven 32–44 42.11%
Phoenix vs Lidia 38–34 52.78%
Phoenix vs Zafina 26–45 36.62%
Phoenix vs Heihachi 37–33 52.86%
Phoenix vs Shaheen 30–35 46.15%
Phoenix vs Kuma 26–28 48.15%
Phoenix vs Clive 22–25 46.81%
Phoenix vs Anna 25–15 62.50%
Phoenix vs Armor King 22–11 66.67%
Phoenix vs Fahkumram 18–13 58.06%
Phoenix vs Panda 8–12 40.00%
Phoenix vs Miary Zo 9–8 52.94%

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.