Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

inlander vs Steve 23–9 71.88%
inlander vs Jin 17–13 56.67%
inlander vs Kazuya 10–15 40.00%
inlander vs Dragunov 9–15 37.50%
inlander vs Paul 8–7 53.33%
inlander vs Reina 7–8 46.67%
inlander vs Bryan 6–8 42.86%
inlander vs Victor 4–7 36.36%
inlander vs Heihachi 7–4 63.64%
inlander vs Miary Zo 3–8 27.27%
inlander vs King 8–1 88.89%
inlander vs Armor King 5–3 62.50%
inlander vs Yoshimitsu 4–3 57.14%
inlander vs Fahkumram 5–2 71.43%
inlander vs Alisa 4–2 66.67%
inlander vs Lee 0–6 0.00%
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 Devil Jin 2–2 50.00%
inlander vs Lili 4–0 100.00%
inlander vs Claudio 0–4 0.00%
inlander vs Kuma 2–2 50.00%
inlander vs Asuka 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 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.