Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Duolingo vs King 10–10 50.00%
Duolingo vs Jin 8–12 40.00%
Duolingo vs Reina 10–10 50.00%
Duolingo vs Hwoarang 6–10 37.50%
Duolingo vs Xiaoyu 11–5 68.75%
Duolingo vs Victor 8–8 50.00%
Duolingo vs Law 5–10 33.33%
Duolingo vs Jun 12–2 85.71%
Duolingo vs Dragunov 6–7 46.15%
Duolingo vs Asuka 5–7 41.67%
Duolingo vs Steve 2–9 18.18%
Duolingo vs Azucena 8–3 72.73%
Duolingo vs Yoshimitsu 6–4 60.00%
Duolingo vs Bryan 5–5 50.00%
Duolingo vs Lili 4–6 40.00%
Duolingo vs Lars 5–4 55.56%
Duolingo vs Kazuya 2–6 25.00%
Duolingo vs Jack-8 3–4 42.86%
Duolingo vs Feng 1–6 14.29%
Duolingo vs Kuma 6–1 85.71%
Duolingo vs Devil Jin 1–5 16.67%
Duolingo vs Lidia 1–5 16.67%
Duolingo vs Claudio 1–4 20.00%
Duolingo vs Lee 5–0 100.00%
Duolingo vs Alisa 0–4 0.00%
Duolingo vs Leo 2–1 66.67%
Duolingo vs Raven 2–1 66.67%
Duolingo vs Eddy 0–3 0.00%
Duolingo vs Nina 0–2 0.00%
Duolingo vs Leroy 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.