Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

SPAM vs Reina 22–28 44.00%
SPAM vs Eddy 20–28 41.67%
SPAM vs Kazuya 17–23 42.50%
SPAM vs King 17–19 47.22%
SPAM vs Hwoarang 14–19 42.42%
SPAM vs Azucena 13–11 54.17%
SPAM vs Steve 10–11 47.62%
SPAM vs Jin 13–7 65.00%
SPAM vs Asuka 7–11 38.89%
SPAM vs Leo 9–9 50.00%
SPAM vs Bryan 6–11 35.29%
SPAM vs Lee 11–5 68.75%
SPAM vs Jun 8–8 50.00%
SPAM vs Lars 4–11 26.67%
SPAM vs Paul 6–8 42.86%
SPAM vs Feng 7–7 50.00%
SPAM vs Lili 9–5 64.29%
SPAM vs Law 6–7 46.15%
SPAM vs Yoshimitsu 4–9 30.77%
SPAM vs Dragunov 5–8 38.46%
SPAM vs Leroy 4–8 33.33%
SPAM vs Xiaoyu 5–6 45.45%
SPAM vs Nina 3–8 27.27%
SPAM vs Kuma 4–7 36.36%
SPAM vs Devil Jin 4–6 40.00%
SPAM vs Heihachi 1–6 14.29%
SPAM vs Claudio 0–4 0.00%
SPAM vs Victor 1–3 25.00%
SPAM vs Raven 1–3 25.00%
SPAM vs Alisa 1–2 33.33%
SPAM vs Shaheen 2–1 66.67%
SPAM vs Panda 3–0 100.00%
SPAM vs Lidia 1–2 33.33%
SPAM vs Jack-8 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.