Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

ah0ng vs Steve 14–13 51.85%
ah0ng vs Bryan 14–10 58.33%
ah0ng vs Jin 12–9 57.14%
ah0ng vs King 11–5 68.75%
ah0ng vs Hwoarang 9–7 56.25%
ah0ng vs Feng 10–4 71.43%
ah0ng vs Yoshimitsu 6–6 50.00%
ah0ng vs Leo 8–3 72.73%
ah0ng vs Shaheen 8–3 72.73%
ah0ng vs Asuka 7–3 70.00%
ah0ng vs Dragunov 7–3 70.00%
ah0ng vs Eddy 3–7 30.00%
ah0ng vs Kazuya 4–5 44.44%
ah0ng vs Lars 3–6 33.33%
ah0ng vs Law 6–2 75.00%
ah0ng vs Azucena 5–3 62.50%
ah0ng vs Lee 3–4 42.86%
ah0ng vs Raven 4–2 66.67%
ah0ng vs Claudio 4–1 80.00%
ah0ng vs Kuma 3–2 60.00%
ah0ng vs Reina 1–4 20.00%
ah0ng vs Devil Jin 2–1 66.67%
ah0ng vs Lili 1–2 33.33%
ah0ng vs Zafina 1–2 33.33%
ah0ng vs Jack-8 2–0 100.00%
ah0ng vs Alisa 2–0 100.00%
ah0ng vs Leroy 2–0 100.00%
ah0ng vs Victor 2–0 100.00%
ah0ng vs Nina 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.