Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

phiction vs King 7–5 58.33%
phiction vs Jin 3–9 25.00%
phiction vs Clive 2–7 22.22%
phiction vs Kazuya 3–5 37.50%
phiction vs Bryan 5–2 71.43%
phiction vs Lars 2–5 28.57%
phiction vs Law 3–3 50.00%
phiction vs Steve 4–2 66.67%
phiction vs Reina 3–3 50.00%
phiction vs Yoshimitsu 4–1 80.00%
phiction vs Xiaoyu 3–2 60.00%
phiction vs Lee 3–2 60.00%
phiction vs Hwoarang 2–2 50.00%
phiction vs Alisa 4–0 100.00%
phiction vs Leroy 2–2 50.00%
phiction vs Azucena 1–3 25.00%
phiction vs Eddy 1–3 25.00%
phiction vs Paul 1–2 33.33%
phiction vs Asuka 2–1 66.67%
phiction vs Feng 1–2 33.33%
phiction vs Dragunov 0–3 0.00%
phiction vs Claudio 2–1 66.67%
phiction vs Nina 1–2 33.33%
phiction vs Jun 1–2 33.33%
phiction vs Heihachi 0–3 0.00%
phiction vs Jack-8 2–0 100.00%
phiction vs Devil Jin 2–0 100.00%
phiction vs Leo 0–2 0.00%
phiction vs Shaheen 2–0 100.00%
phiction vs Victor 1–1 50.00%
phiction vs Lili 1–0 100.00%
phiction vs Raven 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.