Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

darnyous vs Bryan 113–94 54.59%
darnyous vs Jin 76–69 52.41%
darnyous vs King 84–51 62.22%
darnyous vs Kazuya 65–65 50.00%
darnyous vs Steve 76–54 58.46%
darnyous vs Lee 62–50 55.36%
darnyous vs Armor King 62–39 61.39%
darnyous vs Heihachi 47–49 48.96%
darnyous vs Lili 49–45 52.13%
darnyous vs Devil Jin 47–44 51.65%
darnyous vs Law 47–42 52.81%
darnyous vs Reina 48–41 53.93%
darnyous vs Paul 41–46 47.13%
darnyous vs Hwoarang 43–41 51.19%
darnyous vs Dragunov 48–36 57.14%
darnyous vs Jack-8 41–39 51.25%
darnyous vs Xiaoyu 34–44 43.59%
darnyous vs Yoshimitsu 42–35 54.55%
darnyous vs Jun 27–32 45.76%
darnyous vs Asuka 29–26 52.73%
darnyous vs Lars 37–18 67.27%
darnyous vs Feng 27–26 50.94%
darnyous vs Alisa 22–28 44.00%
darnyous vs Leo 26–18 59.09%
darnyous vs Shaheen 16–24 40.00%
darnyous vs Azucena 20–19 51.28%
darnyous vs Fahkumram 17–21 44.74%
darnyous vs Nina 12–25 32.43%
darnyous vs Eddy 22–15 59.46%
darnyous vs Victor 17–16 51.52%
darnyous vs Claudio 10–19 34.48%
darnyous vs Leroy 16–13 55.17%
darnyous vs Clive 9–19 32.14%
darnyous vs Raven 8–18 30.77%
darnyous vs Lidia 6–15 28.57%
darnyous vs Kuma 7–10 41.18%
darnyous vs Zafina 6–8 42.86%
darnyous vs Anna 6–7 46.15%
darnyous vs Miary Zo 4–8 33.33%
darnyous vs Panda 4–0 100.00%

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.