Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Faker vs Clive 36–2 94.74%
Faker vs Kazuya 21–6 77.78%
Faker vs King 14–3 82.35%
Faker vs Reina 13–4 76.47%
Faker vs Asuka 13–3 81.25%
Faker vs Bryan 10–4 71.43%
Faker vs Victor 10–2 83.33%
Faker vs Jin 8–3 72.73%
Faker vs Lili 10–1 90.91%
Faker vs Paul 8–2 80.00%
Faker vs Dragunov 9–0 100.00%
Faker vs Law 8–0 100.00%
Faker vs Lidia 7–1 87.50%
Faker vs Hwoarang 7–0 100.00%
Faker vs Steve 5–2 71.43%
Faker vs Kuma 6–1 85.71%
Faker vs Heihachi 6–0 100.00%
Faker vs Yoshimitsu 5–0 100.00%
Faker vs Alisa 5–0 100.00%
Faker vs Jun 4–1 80.00%
Faker vs Xiaoyu 4–0 100.00%
Faker vs Claudio 4–0 100.00%
Faker vs Jack-8 2–1 66.67%
Faker vs Devil Jin 3–0 100.00%
Faker vs Feng 3–0 100.00%
Faker vs Leo 3–0 100.00%
Faker vs Leroy 1–2 33.33%
Faker vs Azucena 2–1 66.67%
Faker vs Nina 2–0 100.00%
Faker vs Lars 1–0 100.00%
Faker vs Shaheen 0–1 0.00%
Faker vs Eddy 1–0 100.00%

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.