Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

killyeah vs Kazuya 132–114 53.66%
killyeah vs King 77–89 46.39%
killyeah vs Jin 80–81 49.69%
killyeah vs Hwoarang 95–63 60.13%
killyeah vs Bryan 76–71 51.70%
killyeah vs Reina 67–63 51.54%
killyeah vs Steve 63–58 52.07%
killyeah vs Dragunov 58–63 47.93%
killyeah vs Heihachi 60–51 54.05%
killyeah vs Paul 50–57 46.73%
killyeah vs Clive 57–35 61.96%
killyeah vs Armor King 40–49 44.94%
killyeah vs Yoshimitsu 41–46 47.13%
killyeah vs Devil Jin 34–48 41.46%
killyeah vs Law 38–43 46.91%
killyeah vs Jun 44–35 55.70%
killyeah vs Lili 34–38 47.22%
killyeah vs Nina 41–28 59.42%
killyeah vs Lee 42–25 62.69%
killyeah vs Asuka 29–34 46.03%
killyeah vs Azucena 28–23 54.90%
killyeah vs Eddy 33–18 64.71%
killyeah vs Feng 28–22 56.00%
killyeah vs Alisa 18–31 36.73%
killyeah vs Xiaoyu 27–20 57.45%
killyeah vs Victor 30–17 63.83%
killyeah vs Jack-8 30–13 69.77%
killyeah vs Fahkumram 15–22 40.54%
killyeah vs Claudio 18–17 51.43%
killyeah vs Leroy 24–11 68.57%
killyeah vs Lars 19–14 57.58%
killyeah vs Lidia 15–18 45.45%
killyeah vs Kuma 20–8 71.43%
killyeah vs Anna 9–16 36.00%
killyeah vs Leo 11–13 45.83%
killyeah vs Shaheen 11–8 57.89%
killyeah vs Raven 9–8 52.94%
killyeah vs Zafina 7–6 53.85%
killyeah vs Miary Zo 3–8 27.27%
killyeah vs Panda 3–7 30.00%

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.