Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

iloverackyz vs Kazuya 196–158 55.37%
iloverackyz vs Hwoarang 169–133 55.96%
iloverackyz vs King 140–141 49.82%
iloverackyz vs Bryan 142–133 51.64%
iloverackyz vs Jin 151–123 55.11%
iloverackyz vs Reina 108–115 48.43%
iloverackyz vs Law 109–106 50.70%
iloverackyz vs Lee 121–86 58.45%
iloverackyz vs Yoshimitsu 106–84 55.79%
iloverackyz vs Steve 88–94 48.35%
iloverackyz vs Paul 107–68 61.14%
iloverackyz vs Feng 68–103 39.77%
iloverackyz vs Heihachi 73–97 42.94%
iloverackyz vs Jun 90–78 53.57%
iloverackyz vs Lars 72–89 44.72%
iloverackyz vs Azucena 87–65 57.24%
iloverackyz vs Dragunov 78–73 51.66%
iloverackyz vs Lili 81–67 54.73%
iloverackyz vs Nina 61–85 41.78%
iloverackyz vs Clive 68–78 46.58%
iloverackyz vs Lidia 66–74 47.14%
iloverackyz vs Asuka 63–75 45.65%
iloverackyz vs Victor 84–54 60.87%
iloverackyz vs Raven 78–59 56.93%
iloverackyz vs Devil Jin 57–70 44.88%
iloverackyz vs Xiaoyu 49–53 48.04%
iloverackyz vs Alisa 33–47 41.25%
iloverackyz vs Leo 30–46 39.47%
iloverackyz vs Leroy 34–42 44.74%
iloverackyz vs Eddy 35–41 46.05%
iloverackyz vs Jack-8 24–41 36.92%
iloverackyz vs Claudio 29–27 51.79%
iloverackyz vs Zafina 28–27 50.91%
iloverackyz vs Shaheen 21–31 40.38%
iloverackyz vs Kuma 19–20 48.72%
iloverackyz vs Panda 7–12 36.84%

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.