Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

code: Ω
OutLight
code: Ω vs Kazuya 245–202 54.81%
code: Ω vs Jin 229–172 57.11%
code: Ω vs Bryan 152–153 49.84%
code: Ω vs Reina 108–129 45.57%
code: Ω vs Dragunov 131–104 55.74%
code: Ω vs King 104–105 49.76%
code: Ω vs Devil Jin 111–98 53.11%
code: Ω vs Hwoarang 81–108 42.86%
code: Ω vs Paul 95–92 50.80%
code: Ω vs Yoshimitsu 91–81 52.91%
code: Ω vs Heihachi 101–66 60.48%
code: Ω vs Law 95–69 57.93%
code: Ω vs Lee 88–73 54.66%
code: Ω vs Steve 76–74 50.67%
code: Ω vs Nina 56–90 38.36%
code: Ω vs Feng 70–68 50.72%
code: Ω vs Lars 51–69 42.50%
code: Ω vs Asuka 52–67 43.70%
code: Ω vs Leroy 63–56 52.94%
code: Ω vs Alisa 48–69 41.03%
code: Ω vs Lili 58–45 56.31%
code: Ω vs Claudio 52–43 54.74%
code: Ω vs Clive 45–48 48.39%
code: Ω vs Leo 25–58 30.12%
code: Ω vs Victor 37–46 44.58%
code: Ω vs Shaheen 32–49 39.51%
code: Ω vs Jack-8 33–47 41.25%
code: Ω vs Xiaoyu 43–35 55.13%
code: Ω vs Raven 34–38 47.22%
code: Ω vs Zafina 27–40 40.30%
code: Ω vs Jun 36–30 54.55%
code: Ω vs Kuma 16–36 30.77%
code: Ω vs Azucena 24–26 48.00%
code: Ω vs Eddy 21–23 47.73%
code: Ω vs Lidia 18–21 46.15%
code: Ω vs Panda 14–20 41.18%

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.