Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
BlackKaizoku

Ratings

BlackKaizoku vs King 10–21 32.26%
BlackKaizoku vs Steve 9–12 42.86%
BlackKaizoku vs Azucena 8–11 42.11%
BlackKaizoku vs Lidia 9–7 56.25%
BlackKaizoku vs Jin 7–8 46.67%
BlackKaizoku vs Heihachi 7–8 46.67%
BlackKaizoku vs Reina 5–8 38.46%
BlackKaizoku vs Hwoarang 3–7 30.00%
BlackKaizoku vs Victor 7–3 70.00%
BlackKaizoku vs Eddy 3–7 30.00%
BlackKaizoku vs Armor King 4–6 40.00%
BlackKaizoku vs Kazuya 5–3 62.50%
BlackKaizoku vs Jun 6–2 75.00%
BlackKaizoku vs Law 2–5 28.57%
BlackKaizoku vs Lili 5–2 71.43%
BlackKaizoku vs Anna 3–4 42.86%
BlackKaizoku vs Paul 6–0 100.00%
BlackKaizoku vs Yoshimitsu 2–4 33.33%
BlackKaizoku vs Bryan 3–3 50.00%
BlackKaizoku vs Claudio 0–6 0.00%
BlackKaizoku vs Lee 4–2 66.67%
BlackKaizoku vs Fahkumram 3–3 50.00%
BlackKaizoku vs Clive 2–3 40.00%
BlackKaizoku vs Xiaoyu 0–4 0.00%
BlackKaizoku vs Feng 2–2 50.00%
BlackKaizoku vs Alisa 2–2 50.00%
BlackKaizoku vs Jack-8 2–1 66.67%
BlackKaizoku vs Dragunov 2–1 66.67%
BlackKaizoku vs Leo 1–2 33.33%
BlackKaizoku vs Lars 1–2 33.33%
BlackKaizoku vs Raven 0–3 0.00%
BlackKaizoku vs Asuka 0–2 0.00%
BlackKaizoku vs Nina 2–0 100.00%
BlackKaizoku vs Kuma 2–0 100.00%
BlackKaizoku vs Panda 2–0 100.00%
BlackKaizoku vs Leroy 0–2 0.00%
BlackKaizoku vs Miary Zo 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.