Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

AMFA vs Jin 16–22 42.11%
AMFA vs Victor 13–17 43.33%
AMFA vs Kazuya 10–16 38.46%
AMFA vs King 7–15 31.82%
AMFA vs Bryan 5–15 25.00%
AMFA vs Dragunov 9–10 47.37%
AMFA vs Jun 10–6 62.50%
AMFA vs Law 7–8 46.67%
AMFA vs Reina 6–9 40.00%
AMFA vs Yoshimitsu 3–11 21.43%
AMFA vs Hwoarang 6–7 46.15%
AMFA vs Asuka 7–6 53.85%
AMFA vs Paul 0–12 0.00%
AMFA vs Devil Jin 3–9 25.00%
AMFA vs Steve 5–6 45.45%
AMFA vs Lee 3–8 27.27%
AMFA vs Xiaoyu 4–4 50.00%
AMFA vs Nina 4–3 57.14%
AMFA vs Lidia 5–2 71.43%
AMFA vs Jack-8 5–1 83.33%
AMFA vs Azucena 3–3 50.00%
AMFA vs Leo 2–3 40.00%
AMFA vs Lars 1–4 20.00%
AMFA vs Shaheen 0–4 0.00%
AMFA vs Eddy 0–4 0.00%
AMFA vs Heihachi 4–0 100.00%
AMFA vs Clive 0–4 0.00%
AMFA vs Feng 1–2 33.33%
AMFA vs Lili 3–0 100.00%
AMFA vs Claudio 2–1 66.67%
AMFA vs Panda 1–2 33.33%
AMFA vs Zafina 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.