Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MetallicA vs Jin 49–82 37.40%
MetallicA vs Bryan 51–61 45.54%
MetallicA vs King 51–58 46.79%
MetallicA vs Kazuya 50–54 48.08%
MetallicA vs Reina 45–52 46.39%
MetallicA vs Heihachi 43–51 45.74%
MetallicA vs Law 44–45 49.44%
MetallicA vs Lili 31–48 39.24%
MetallicA vs Steve 26–44 37.14%
MetallicA vs Hwoarang 26–34 43.33%
MetallicA vs Dragunov 26–34 43.33%
MetallicA vs Clive 28–27 50.91%
MetallicA vs Eddy 31–20 60.78%
MetallicA vs Asuka 30–20 60.00%
MetallicA vs Jun 21–29 42.00%
MetallicA vs Yoshimitsu 26–21 55.32%
MetallicA vs Xiaoyu 24–21 53.33%
MetallicA vs Nina 22–22 50.00%
MetallicA vs Alisa 26–15 63.41%
MetallicA vs Paul 21–19 52.50%
MetallicA vs Lidia 16–24 40.00%
MetallicA vs Victor 18–21 46.15%
MetallicA vs Devil Jin 19–18 51.35%
MetallicA vs Leo 21–13 61.76%
MetallicA vs Lars 10–21 32.26%
MetallicA vs Claudio 13–18 41.94%
MetallicA vs Lee 9–21 30.00%
MetallicA vs Anna 14–16 46.67%
MetallicA vs Azucena 14–13 51.85%
MetallicA vs Feng 7–18 28.00%
MetallicA vs Leroy 11–14 44.00%
MetallicA vs Kuma 6–11 35.29%
MetallicA vs Zafina 9–8 52.94%
MetallicA vs Fahkumram 6–10 37.50%
MetallicA vs Jack-8 7–6 53.85%
MetallicA vs Raven 3–10 23.08%
MetallicA vs Shaheen 2–6 25.00%
MetallicA vs Panda 5–2 71.43%
MetallicA vs Armor King 1–2 33.33%

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.