Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
m|nãHáRąß

Ratings

m|nãHáRąß vs Jin 50–98 33.78%
m|nãHáRąß vs Steve 24–70 25.53%
m|nãHáRąß vs Kazuya 35–55 38.89%
m|nãHáRąß vs King 26–56 31.71%
m|nãHáRąß vs Dragunov 26–56 31.71%
m|nãHáRąß vs Bryan 24–57 29.63%
m|nãHáRąß vs Hwoarang 13–38 25.49%
m|nãHáRąß vs Reina 14–36–1 28.00%
m|nãHáRąß vs Victor 17–34 33.33%
m|nãHáRąß vs Asuka 18–30 37.50%
m|nãHáRąß vs Lili 16–30 34.78%
m|nãHáRąß vs Clive 14–30 31.82%
m|nãHáRąß vs Law 12–27 30.77%
m|nãHáRąß vs Paul 12–23 34.29%
m|nãHáRąß vs Anna 10–24 29.41%
m|nãHáRąß vs Heihachi 11–22 33.33%
m|nãHáRąß vs Eddy 16–15 51.61%
m|nãHáRąß vs Yoshimitsu 15–15 50.00%
m|nãHáRąß vs Lee 11–19 36.67%
m|nãHáRąß vs Devil Jin 6–22 21.43%
m|nãHáRąß vs Alisa 14–13 51.85%
m|nãHáRąß vs Lars 6–20 23.08%
m|nãHáRąß vs Claudio 9–17 34.62%
m|nãHáRąß vs Jun 9–16 36.00%
m|nãHáRąß vs Fahkumram 8–13 38.10%
m|nãHáRąß vs Kuma 4–14 22.22%
m|nãHáRąß vs Jack-8 7–10 41.18%
m|nãHáRąß vs Lidia 5–12 29.41%
m|nãHáRąß vs Raven 2–14 12.50%
m|nãHáRąß vs Xiaoyu 9–6 60.00%
m|nãHáRąß vs Azucena 2–13 13.33%
m|nãHáRąß vs Nina 3–10 23.08%
m|nãHáRąß vs Feng 1–10 9.09%
m|nãHáRąß vs Shaheen 4–6 40.00%
m|nãHáRąß vs Leroy 2–8 20.00%
m|nãHáRąß vs Leo 3–4 42.86%
m|nãHáRąß vs Zafina 1–5 16.67%
m|nãHáRąß vs Armor King 3–1 75.00%
m|nãHáRąß vs Panda 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.