Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Nuisance vs Jin 93–71 56.71%
Nuisance vs King 75–78 49.02%
Nuisance vs Kazuya 74–76 49.33%
Nuisance vs Hwoarang 67–64 51.15%
Nuisance vs Bryan 61–65 48.41%
Nuisance vs Law 73–51 58.87%
Nuisance vs Steve 64–55 53.78%
Nuisance vs Reina 57–59 49.14%
Nuisance vs Yoshimitsu 51–53 49.04%
Nuisance vs Dragunov 55–47 53.92%
Nuisance vs Lars 34–57 37.36%
Nuisance vs Paul 47–41 53.41%
Nuisance vs Azucena 44–44 50.00%
Nuisance vs Lili 42–45 48.28%
Nuisance vs Lee 43–38 53.09%
Nuisance vs Victor 35–41 46.05%
Nuisance vs Eddy 25–49 33.78%
Nuisance vs Xiaoyu 31–40–1 43.66%
Nuisance vs Asuka 37–29 56.06%
Nuisance vs Raven 30–30 50.00%
Nuisance vs Jun 26–33 44.07%
Nuisance vs Alisa 28–30 48.28%
Nuisance vs Heihachi 24–25 48.98%
Nuisance vs Jack-8 25–21 54.35%
Nuisance vs Nina 20–26 43.48%
Nuisance vs Lidia 25–21 54.35%
Nuisance vs Feng 17–20 45.95%
Nuisance vs Fahkumram 14–21 40.00%
Nuisance vs Claudio 12–22 35.29%
Nuisance vs Leroy 18–14 56.25%
Nuisance vs Leo 21–10 67.74%
Nuisance vs Devil Jin 11–12 47.83%
Nuisance vs Kuma 11–12 47.83%
Nuisance vs Armor King 10–13 43.48%
Nuisance vs Zafina 10–11 47.62%
Nuisance vs Shaheen 5–12 29.41%
Nuisance vs Anna 10–5 66.67%
Nuisance vs Clive 4–6 40.00%
Nuisance vs Panda 4–4 50.00%
Nuisance vs Miary Zo 6–1 85.71%

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.