Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

macaron vs Kazuya 24–16 60.00%
macaron vs Lili 23–8 74.19%
macaron vs Dragunov 22–7 75.86%
macaron vs Jin 23–4 85.19%
macaron vs Hwoarang 20–5 80.00%
macaron vs Reina 20–4 83.33%
macaron vs Heihachi 21–3 87.50%
macaron vs Devil Jin 17–4 80.95%
macaron vs Jun 15–6 71.43%
macaron vs King 15–3–1 83.33%
macaron vs Law 11–7 61.11%
macaron vs Steve 14–4 77.78%
macaron vs Bryan 14–1 93.33%
macaron vs Xiaoyu 11–3 78.57%
macaron vs Lee 6–6 50.00%
macaron vs Paul 7–4 63.64%
macaron vs Feng 7–4 63.64%
macaron vs Asuka 8–2 80.00%
macaron vs Yoshimitsu 8–1 88.89%
macaron vs Lars 6–3 66.67%
macaron vs Azucena 6–3 66.67%
macaron vs Jack-8 5–3 62.50%
macaron vs Shaheen 6–2 75.00%
macaron vs Raven 7–1 87.50%
macaron vs Clive 7–1 87.50%
macaron vs Victor 6–1 85.71%
macaron vs Alisa 5–0 100.00%
macaron vs Claudio 3–2 60.00%
macaron vs Leo 2–2 50.00%
macaron vs Zafina 1–2 33.33%
macaron vs Eddy 3–0 100.00%
macaron vs Lidia 2–1 66.67%
macaron vs Nina 1–1 50.00%
macaron vs Kuma 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.