Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

norishio vs King 97–70 58.08%
norishio vs Dragunov 72–58 55.38%
norishio vs Jin 58–70 45.31%
norishio vs Hwoarang 64–61 51.20%
norishio vs Kazuya 55–62 47.01%
norishio vs Lili 61–54 53.04%
norishio vs Paul 57–57 50.00%
norishio vs Reina 35–65 35.00%
norishio vs Asuka 54–43 55.67%
norishio vs Bryan 35–56 38.46%
norishio vs Yoshimitsu 36–50 41.86%
norishio vs Heihachi 37–44 45.68%
norishio vs Steve 44–34 56.41%
norishio vs Xiaoyu 46–30 60.53%
norishio vs Law 34–38 47.22%
norishio vs Jun 33–36 47.83%
norishio vs Victor 27–41 39.71%
norishio vs Feng 34–32 51.52%
norishio vs Leo 27–34 44.26%
norishio vs Alisa 34–25 57.63%
norishio vs Eddy 32–27 54.24%
norishio vs Claudio 30–28 51.72%
norishio vs Armor King 24–34 41.38%
norishio vs Lars 22–34 39.29%
norishio vs Lidia 21–30 41.18%
norishio vs Nina 24–24 50.00%
norishio vs Jack-8 20–27 42.55%
norishio vs Devil Jin 24–21 53.33%
norishio vs Azucena 15–27 35.71%
norishio vs Lee 17–21 44.74%
norishio vs Leroy 13–17 43.33%
norishio vs Zafina 16–12 57.14%
norishio vs Clive 12–16 42.86%
norishio vs Shaheen 13–10 56.52%
norishio vs Kuma 6–14 30.00%
norishio vs Raven 4–16 20.00%
norishio vs Anna 11–8 57.89%
norishio vs Fahkumram 4–6 40.00%
norishio vs Panda 3–4 42.86%
norishio vs Miary Zo 0–1 0.00%

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.