Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

99Kcal vs Bryan 15–8 65.22%
99Kcal vs Reina 15–2 88.24%
99Kcal vs King 7–6 53.85%
99Kcal vs Kazuya 4–8 33.33%
99Kcal vs Hwoarang 4–7 36.36%
99Kcal vs Dragunov 4–6 40.00%
99Kcal vs Leo 3–6 33.33%
99Kcal vs Jin 3–5 37.50%
99Kcal vs Azucena 5–3 62.50%
99Kcal vs Law 5–2 71.43%
99Kcal vs Lili 6–1 85.71%
99Kcal vs Jun 2–5 28.57%
99Kcal vs Lee 2–4 33.33%
99Kcal vs Kuma 3–3 50.00%
99Kcal vs Lidia 2–4 33.33%
99Kcal vs Yoshimitsu 2–3 40.00%
99Kcal vs Shaheen 1–4 20.00%
99Kcal vs Paul 2–2 50.00%
99Kcal vs Steve 2–2 50.00%
99Kcal vs Alisa 4–0 100.00%
99Kcal vs Claudio 2–2 50.00%
99Kcal vs Leroy 1–2 33.33%
99Kcal vs Jack-8 0–2 0.00%
99Kcal vs Nina 0–2 0.00%
99Kcal vs Raven 0–2 0.00%
99Kcal vs Eddy 1–1 50.00%
99Kcal vs Asuka 1–0 100.00%
99Kcal vs Devil Jin 1–0 100.00%
99Kcal vs Feng 1–0 100.00%
99Kcal vs Victor 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.