Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

coffee vs Jin 15–34 30.61%
coffee vs Hwoarang 28–20 58.33%
coffee vs Kazuya 21–23 47.73%
coffee vs King 14–26 35.00%
coffee vs Asuka 18–21 46.15%
coffee vs Victor 16–19 45.71%
coffee vs Dragunov 11–23 32.35%
coffee vs Reina 17–16–1 51.52%
coffee vs Paul 26–7 78.79%
coffee vs Azucena 16–14 53.33%
coffee vs Jun 9–19 32.14%
coffee vs Lili 13–12 52.00%
coffee vs Eddy 12–13 48.00%
coffee vs Yoshimitsu 8–16 33.33%
coffee vs Steve 18–6 75.00%
coffee vs Bryan 11–10 52.38%
coffee vs Lars 11–9 55.00%
coffee vs Alisa 10–9 52.63%
coffee vs Law 13–5 72.22%
coffee vs Claudio 4–14 22.22%
coffee vs Jack-8 7–10 41.18%
coffee vs Xiaoyu 2–13 13.33%
coffee vs Devil Jin 6–9 40.00%
coffee vs Nina 3–10 23.08%
coffee vs Leroy 6–6 50.00%
coffee vs Leo 5–3 62.50%
coffee vs Zafina 5–2 71.43%
coffee vs Raven 2–5 28.57%
coffee vs Lee 0–6 0.00%
coffee vs Panda 3–2 60.00%
coffee vs Feng 2–2 50.00%
coffee vs Kuma 3–1 75.00%
coffee vs Shaheen 0–2 0.00%
coffee vs Lidia 0–2 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.