Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

열반적정 vs Bryan 151–98 60.64%
열반적정 vs Dragunov 141–105 57.32%
열반적정 vs Jack-8 95–90 51.35%
열반적정 vs Steve 93–89 51.10%
열반적정 vs Kazuya 94–83–1 53.11%
열반적정 vs Paul 93–80 53.76%
열반적정 vs Hwoarang 98–69 58.68%
열반적정 vs Heihachi 87–71 55.06%
열반적정 vs Jin 82–74 52.56%
열반적정 vs Reina 80–70 53.33%
열반적정 vs King 74–75 49.66%
열반적정 vs Azucena 76–70 52.05%
열반적정 vs Yoshimitsu 74–70 51.39%
열반적정 vs Feng 78–64 54.93%
열반적정 vs Lee 60–68 46.88%
열반적정 vs Asuka 67–60 52.76%
열반적정 vs Eddy 49–72 40.50%
열반적정 vs Devil Jin 55–65 45.83%
열반적정 vs Xiaoyu 58–57 50.43%
열반적정 vs Victor 62–52 54.39%
열반적정 vs Nina 66–47 58.41%
열반적정 vs Raven 62–51 54.87%
열반적정 vs Lili 66–46 58.93%
열반적정 vs Alisa 48–62 43.64%
열반적정 vs Lars 46–63 42.20%
열반적정 vs Shaheen 45–58 43.69%
열반적정 vs Law 48–54 47.06%
열반적정 vs Clive 51–51 50.00%
열반적정 vs Jun 57–41 58.16%
열반적정 vs Leo 53–42 55.79%
열반적정 vs Leroy 31–52 37.35%
열반적정 vs Claudio 43–37 53.75%
열반적정 vs Zafina 42–29 59.15%
열반적정 vs Kuma 37–30 55.22%
열반적정 vs Lidia 24–30 44.44%
열반적정 vs Panda 3–11 21.43%

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.