Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

GodHelpMe vs Jin 92–68 57.50%
GodHelpMe vs Bryan 57–58 49.57%
GodHelpMe vs King 67–45 59.82%
GodHelpMe vs Kazuya 62–47 56.88%
GodHelpMe vs Steve 42–58 42.00%
GodHelpMe vs Reina 57–43 57.00%
GodHelpMe vs Asuka 51–48 51.52%
GodHelpMe vs Hwoarang 60–37 61.86%
GodHelpMe vs Jun 49–41 54.44%
GodHelpMe vs Lee 44–43 50.57%
GodHelpMe vs Azucena 49–37 56.98%
GodHelpMe vs Lars 45–40 52.94%
GodHelpMe vs Raven 40–37 51.95%
GodHelpMe vs Law 41–34 54.67%
GodHelpMe vs Paul 41–31 56.94%
GodHelpMe vs Dragunov 41–28 59.42%
GodHelpMe vs Yoshimitsu 32–36 47.06%
GodHelpMe vs Victor 36–27 57.14%
GodHelpMe vs Jack-8 23–36 38.98%
GodHelpMe vs Eddy 33–24 57.89%
GodHelpMe vs Feng 28–27 50.91%
GodHelpMe vs Devil Jin 32–22 59.26%
GodHelpMe vs Lidia 27–27 50.00%
GodHelpMe vs Xiaoyu 34–18 65.38%
GodHelpMe vs Lili 35–14 71.43%
GodHelpMe vs Claudio 29–19 60.42%
GodHelpMe vs Nina 18–25 41.86%
GodHelpMe vs Alisa 21–21 50.00%
GodHelpMe vs Leo 11–24 31.43%
GodHelpMe vs Kuma 15–19 44.12%
GodHelpMe vs Zafina 13–13 50.00%
GodHelpMe vs Leroy 12–13 48.00%
GodHelpMe vs Shaheen 9–13 40.91%
GodHelpMe vs Panda 14–7 66.67%
GodHelpMe vs Fahkumram 6–12 33.33%
GodHelpMe vs Anna 7–4 63.64%
GodHelpMe vs Heihachi 2–4 33.33%
GodHelpMe vs Clive 4–1 80.00%
GodHelpMe vs Miary Zo 2–2 50.00%

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.