Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

inlander vs Steve 20–3 86.96%
inlander vs Kazuya 10–12 45.45%
inlander vs Dragunov 9–13 40.91%
inlander vs Jin 14–7 66.67%
inlander vs Paul 7–5 58.33%
inlander vs Reina 6–6 50.00%
inlander vs Victor 4–7 36.36%
inlander vs Miary Zo 3–8 27.27%
inlander vs Heihachi 6–2 75.00%
inlander vs King 6–1 85.71%
inlander vs Yoshimitsu 4–3 57.14%
inlander vs Bryan 2–4 33.33%
inlander vs Alisa 4–2 66.67%
inlander vs Fahkumram 4–2 66.67%
inlander vs Law 2–3 40.00%
inlander vs Leo 3–2 60.00%
inlander vs Jun 3–2 60.00%
inlander vs Lidia 2–3 40.00%
inlander vs Hwoarang 3–1 75.00%
inlander vs Lili 4–0 100.00%
inlander vs Claudio 0–4 0.00%
inlander vs Lee 0–4 0.00%
inlander vs Armor King 2–1 66.67%
inlander vs Asuka 2–0 100.00%
inlander vs Devil Jin 2–0 100.00%
inlander vs Lars 0–2 0.00%
inlander vs Shaheen 0–2 0.00%
inlander vs Nina 2–0 100.00%
inlander vs Kuma 2–0 100.00%
inlander vs Raven 0–2 0.00%
inlander vs Eddy 0–2 0.00%
inlander vs Xiaoyu 0–1 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.