Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
lost.urlx
4Ed4-BbDN-D6yd xbox sou1xpun1shr America

Ratings

lost.urlx vs Law 5–11 31.25%
lost.urlx vs King 7–8 46.67%
lost.urlx vs Lili 5–10 33.33%
lost.urlx vs Reina 7–8 46.67%
lost.urlx vs Nina 6–7 46.15%
lost.urlx vs Hwoarang 5–7 41.67%
lost.urlx vs Jin 6–6 50.00%
lost.urlx vs Asuka 5–7 41.67%
lost.urlx vs Eddy 5–6 45.45%
lost.urlx vs Yoshimitsu 4–4 50.00%
lost.urlx vs Jun 2–6 25.00%
lost.urlx vs Steve 5–2 71.43%
lost.urlx vs Feng 4–3 57.14%
lost.urlx vs Bryan 4–2 66.67%
lost.urlx vs Lee 1–5 16.67%
lost.urlx vs Leo 3–2 60.00%
lost.urlx vs Panda 4–1 80.00%
lost.urlx vs Xiaoyu 2–2 50.00%
lost.urlx vs Dragunov 3–1 75.00%
lost.urlx vs Victor 2–2 50.00%
lost.urlx vs Claudio 1–2 33.33%
lost.urlx vs Leroy 2–1 66.67%
lost.urlx vs Azucena 0–3 0.00%
lost.urlx vs Raven 2–1 66.67%
lost.urlx vs Kazuya 0–2 0.00%
lost.urlx vs Devil Jin 1–1 50.00%
lost.urlx vs Alisa 0–2 0.00%
lost.urlx vs Kuma 0–2 0.00%
lost.urlx vs Paul 0–1 0.00%
lost.urlx vs Lars 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.