Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

gentle monster vs Reina 13–15 46.43%
gentle monster vs Steve 5–17 22.73%
gentle monster vs Jin 8–8 50.00%
gentle monster vs Hwoarang 3–11 21.43%
gentle monster vs Dragunov 5–8 38.46%
gentle monster vs Paul 3–8 27.27%
gentle monster vs Kazuya 2–8 20.00%
gentle monster vs King 3–6 33.33%
gentle monster vs Jun 5–4 55.56%
gentle monster vs Azucena 6–2 75.00%
gentle monster vs Victor 2–6 25.00%
gentle monster vs Feng 2–5 28.57%
gentle monster vs Xiaoyu 0–6 0.00%
gentle monster vs Leo 0–6 0.00%
gentle monster vs Law 1–4 20.00%
gentle monster vs Asuka 2–3 40.00%
gentle monster vs Claudio 1–4 20.00%
gentle monster vs Zafina 0–5 0.00%
gentle monster vs Eddy 2–3 40.00%
gentle monster vs Bryan 2–2 50.00%
gentle monster vs Lee 2–2 50.00%
gentle monster vs Jack-8 1–2 33.33%
gentle monster vs Lili 3–0 100.00%
gentle monster vs Yoshimitsu 2–0 100.00%
gentle monster vs Lars 0–2 0.00%
gentle monster vs Shaheen 2–0 100.00%
gentle monster vs Nina 0–2 0.00%
gentle monster vs Leroy 0–2 0.00%
gentle monster vs Devil Jin 0–1 0.00%
gentle monster vs Heihachi 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.