Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

slizzbfr vs Jin 86–96 47.25%
slizzbfr vs Kazuya 84–91 48.00%
slizzbfr vs King 77–95 44.77%
slizzbfr vs Steve 92–76 54.76%
slizzbfr vs Law 86–73 54.09%
slizzbfr vs Hwoarang 67–87 43.51%
slizzbfr vs Bryan 69–73 48.59%
slizzbfr vs Jun 70–61 53.44%
slizzbfr vs Eddy 44–76 36.67%
slizzbfr vs Lee 60–52 53.57%
slizzbfr vs Reina 58–54 51.79%
slizzbfr vs Azucena 48–45 51.61%
slizzbfr vs Lili 50–37 57.47%
slizzbfr vs Victor 37–47 44.05%
slizzbfr vs Dragunov 45–36 55.56%
slizzbfr vs Paul 35–42 45.45%
slizzbfr vs Yoshimitsu 30–43 41.10%
slizzbfr vs Feng 21–44 32.31%
slizzbfr vs Xiaoyu 36–27 57.14%
slizzbfr vs Lars 28–34 45.16%
slizzbfr vs Nina 33–26 55.93%
slizzbfr vs Lidia 26–33 44.07%
slizzbfr vs Heihachi 33–25 56.90%
slizzbfr vs Raven 26–31 45.61%
slizzbfr vs Leo 26–29 47.27%
slizzbfr vs Devil Jin 25–29 46.30%
slizzbfr vs Asuka 32–19 62.75%
slizzbfr vs Jack-8 27–22 55.10%
slizzbfr vs Clive 19–21 47.50%
slizzbfr vs Leroy 20–14 58.82%
slizzbfr vs Alisa 12–19 38.71%
slizzbfr vs Claudio 11–13 45.83%
slizzbfr vs Miary Zo 13–11 54.17%
slizzbfr vs Zafina 10–12 45.45%
slizzbfr vs Shaheen 9–12 42.86%
slizzbfr vs Kuma 7–11 38.89%
slizzbfr vs Armor King 12–4 75.00%
slizzbfr vs Fahkumram 4–3 57.14%
slizzbfr vs Anna 1–5 16.67%
slizzbfr vs Panda 2–1 66.67%

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.