Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Amora vs King 15–14 51.72%
Amora vs Hwoarang 6–13 31.58%
Amora vs Jin 10–7 58.82%
Amora vs Lili 4–11 26.67%
Amora vs Kazuya 8–6 57.14%
Amora vs Eddy 2–11 15.38%
Amora vs Asuka 8–4 66.67%
Amora vs Lars 7–5 58.33%
Amora vs Nina 7–4 63.64%
Amora vs Yoshimitsu 8–2 80.00%
Amora vs Devil Jin 4–6 40.00%
Amora vs Law 5–4 55.56%
Amora vs Xiaoyu 4–4 50.00%
Amora vs Bryan 4–4 50.00%
Amora vs Reina 5–3 62.50%
Amora vs Lee 3–4 42.86%
Amora vs Steve 2–4 33.33%
Amora vs Shaheen 1–5 16.67%
Amora vs Jun 5–1 83.33%
Amora vs Azucena 2–4 33.33%
Amora vs Paul 2–3 40.00%
Amora vs Panda 2–3 40.00%
Amora vs Victor 4–1 80.00%
Amora vs Heihachi 2–3 40.00%
Amora vs Claudio 0–4 0.00%
Amora vs Leroy 2–1 66.67%
Amora vs Feng 0–2 0.00%
Amora vs Dragunov 2–0 100.00%
Amora vs Leo 0–2 0.00%
Amora vs Lidia 2–0 100.00%
Amora vs Fahkumram 0–2 0.00%
Amora vs Alisa 1–0 100.00%
Amora vs Kuma 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.