Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

EatPuss_z vs Heihachi 52–51 50.49%
EatPuss_z vs Kazuya 64–29 68.82%
EatPuss_z vs Bryan 62–23 72.94%
EatPuss_z vs Jin 50–33 60.24%
EatPuss_z vs Steve 45–26 63.38%
EatPuss_z vs Reina 40–31 56.34%
EatPuss_z vs Law 46–21 68.66%
EatPuss_z vs King 45–20 69.23%
EatPuss_z vs Dragunov 43–22 66.15%
EatPuss_z vs Paul 43–19 69.35%
EatPuss_z vs Lee 31–23 57.41%
EatPuss_z vs Yoshimitsu 34–15 69.39%
EatPuss_z vs Asuka 35–11 76.09%
EatPuss_z vs Lars 34–11 75.56%
EatPuss_z vs Hwoarang 30–14 68.18%
EatPuss_z vs Feng 23–17 57.50%
EatPuss_z vs Jun 31–9 77.50%
EatPuss_z vs Lili 28–11 71.79%
EatPuss_z vs Nina 26–12 68.42%
EatPuss_z vs Raven 25–11 69.44%
EatPuss_z vs Devil Jin 26–9 74.29%
EatPuss_z vs Azucena 24–10 70.59%
EatPuss_z vs Eddy 24–10 70.59%
EatPuss_z vs Victor 16–16 50.00%
EatPuss_z vs Shaheen 22–9 70.97%
EatPuss_z vs Leo 18–11 62.07%
EatPuss_z vs Claudio 20–9 68.97%
EatPuss_z vs Armor King 23–6 79.31%
EatPuss_z vs Leroy 16–8 66.67%
EatPuss_z vs Alisa 11–8 57.89%
EatPuss_z vs Lidia 11–8 57.89%
EatPuss_z vs Xiaoyu 15–3 83.33%
EatPuss_z vs Jack-8 13–5 72.22%
EatPuss_z vs Kuma 3–12 20.00%
EatPuss_z vs Panda 1–10 9.09%
EatPuss_z vs Zafina 6–3 66.67%
EatPuss_z vs Clive 9–0 100.00%
EatPuss_z vs Fahkumram 7–2 77.78%
EatPuss_z vs Anna 5–2 71.43%

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.