Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Necrophagist vs Jin 66–48 57.89%
Necrophagist vs King 61–33 64.89%
Necrophagist vs Kazuya 44–31 58.67%
Necrophagist vs Bryan 42–26 61.76%
Necrophagist vs Paul 23–40 36.51%
Necrophagist vs Reina 25–34 42.37%
Necrophagist vs Law 29–26 52.73%
Necrophagist vs Hwoarang 22–32 40.74%
Necrophagist vs Heihachi 26–22 54.17%
Necrophagist vs Yoshimitsu 19–27 41.30%
Necrophagist vs Asuka 19–26 42.22%
Necrophagist vs Dragunov 19–26 42.22%
Necrophagist vs Azucena 19–24 44.19%
Necrophagist vs Lars 22–20 52.38%
Necrophagist vs Lili 17–23 42.50%
Necrophagist vs Xiaoyu 27–12 69.23%
Necrophagist vs Feng 22–17 56.41%
Necrophagist vs Steve 14–21 40.00%
Necrophagist vs Leo 19–16 54.29%
Necrophagist vs Nina 17–16 51.52%
Necrophagist vs Jun 16–15 51.61%
Necrophagist vs Victor 17–14 54.84%
Necrophagist vs Lee 20–10 66.67%
Necrophagist vs Alisa 12–16 42.86%
Necrophagist vs Claudio 15–12 55.56%
Necrophagist vs Jack-8 15–6 71.43%
Necrophagist vs Raven 12–8 60.00%
Necrophagist vs Leroy 6–13 31.58%
Necrophagist vs Devil Jin 7–10 41.18%
Necrophagist vs Zafina 7–8 46.67%
Necrophagist vs Eddy 11–4 73.33%
Necrophagist vs Clive 3–9 25.00%
Necrophagist vs Panda 3–7 30.00%
Necrophagist vs Lidia 3–7 30.00%
Necrophagist vs Shaheen 5–4 55.56%
Necrophagist vs Kuma 1–7 12.50%

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.