Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

camelion vs Reina 16–13 55.17%
camelion vs Steve 13–14 48.15%
camelion vs Heihachi 9–18 33.33%
camelion vs Jin 10–15 40.00%
camelion vs Hwoarang 6–18 25.00%
camelion vs King 10–11 47.62%
camelion vs Jun 7–13 35.00%
camelion vs Kazuya 5–13 27.78%
camelion vs Law 6–11 35.29%
camelion vs Lili 11–5 68.75%
camelion vs Asuka 8–8 50.00%
camelion vs Alisa 10–3 76.92%
camelion vs Bryan 8–4 66.67%
camelion vs Claudio 2–9 18.18%
camelion vs Azucena 7–4 63.64%
camelion vs Victor 3–8 27.27%
camelion vs Kuma 4–6 40.00%
camelion vs Eddy 3–6 33.33%
camelion vs Lidia 2–7 22.22%
camelion vs Paul 3–5 37.50%
camelion vs Yoshimitsu 3–5 37.50%
camelion vs Dragunov 3–5 37.50%
camelion vs Lee 5–3 62.50%
camelion vs Xiaoyu 6–1 85.71%
camelion vs Devil Jin 2–5 28.57%
camelion vs Lars 5–2 71.43%
camelion vs Feng 3–3 50.00%
camelion vs Panda 3–2 60.00%
camelion vs Jack-8 1–3 25.00%
camelion vs Leo 2–1 66.67%
camelion vs Shaheen 3–0 100.00%
camelion vs Nina 1–2 33.33%
camelion vs Zafina 2–1 66.67%
camelion vs Leroy 3–0 100.00%
camelion vs Raven 1–1 50.00%

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.