Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

fried noodles vs Jin 93–76 55.03%
fried noodles vs Kazuya 82–82 50.00%
fried noodles vs Reina 88–56 61.11%
fried noodles vs King 52–59 46.85%
fried noodles vs Dragunov 64–42 60.38%
fried noodles vs Paul 35–31 53.03%
fried noodles vs Bryan 31–34 47.69%
fried noodles vs Steve 36–27 57.14%
fried noodles vs Law 34–27 55.74%
fried noodles vs Yoshimitsu 28–33 45.90%
fried noodles vs Lili 37–22 62.71%
fried noodles vs Asuka 32–26 55.17%
fried noodles vs Lee 28–27 50.91%
fried noodles vs Devil Jin 30–24 55.56%
fried noodles vs Hwoarang 25–27 48.08%
fried noodles vs Jun 35–17 67.31%
fried noodles vs Victor 24–28 46.15%
fried noodles vs Alisa 27–21 56.25%
fried noodles vs Lidia 24–22 52.17%
fried noodles vs Lars 27–17 61.36%
fried noodles vs Leo 30–11 73.17%
fried noodles vs Claudio 15–25 37.50%
fried noodles vs Azucena 19–16 54.29%
fried noodles vs Xiaoyu 17–17 50.00%
fried noodles vs Nina 17–17 50.00%
fried noodles vs Leroy 27–6 81.82%
fried noodles vs Heihachi 19–13 59.38%
fried noodles vs Eddy 15–15 50.00%
fried noodles vs Feng 11–11 50.00%
fried noodles vs Shaheen 11–5 68.75%
fried noodles vs Kuma 7–8 46.67%
fried noodles vs Clive 7–7 50.00%
fried noodles vs Zafina 6–7 46.15%
fried noodles vs Raven 10–3 76.92%
fried noodles vs Jack-8 3–7 30.00%
fried noodles vs Panda 5–3 62.50%

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.