Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Keyboardman vs Dragunov 171–159 51.82%
Keyboardman vs Bryan 131–133 49.62%
Keyboardman vs Hwoarang 139–124 52.85%
Keyboardman vs Kazuya 140–115 54.90%
Keyboardman vs Reina 111–106 51.15%
Keyboardman vs Jin 114–101 53.02%
Keyboardman vs King 104–110 48.60%
Keyboardman vs Steve 105–106 49.76%
Keyboardman vs Victor 89–118 43.00%
Keyboardman vs Lili 112–85 56.85%
Keyboardman vs Lars 75–90 45.45%
Keyboardman vs Yoshimitsu 82–77 51.57%
Keyboardman vs Alisa 81–72 52.94%
Keyboardman vs Law 75–75 50.00%
Keyboardman vs Asuka 82–67 55.03%
Keyboardman vs Paul 79–68 53.74%
Keyboardman vs Feng 72–72 50.00%
Keyboardman vs Devil Jin 71–72 49.65%
Keyboardman vs Jun 75–68 52.45%
Keyboardman vs Nina 64–71 47.41%
Keyboardman vs Jack-8 62–66 48.44%
Keyboardman vs Shaheen 68–59 53.54%
Keyboardman vs Lee 68–56 54.84%
Keyboardman vs Zafina 43–80 34.96%
Keyboardman vs Leroy 60–57 51.28%
Keyboardman vs Xiaoyu 49–67 42.24%
Keyboardman vs Azucena 70–45 60.87%
Keyboardman vs Eddy 40–60 40.00%
Keyboardman vs Raven 46–52 46.94%
Keyboardman vs Heihachi 45–53 45.92%
Keyboardman vs Claudio 59–38 60.82%
Keyboardman vs Leo 44–49 47.31%
Keyboardman vs Kuma 36–56 39.13%
Keyboardman vs Lidia 37–52 41.57%
Keyboardman vs Panda 19–20 48.72%
Keyboardman vs Clive 22–16 57.89%

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.