Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

keijos vs Jin 14–17 45.16%
keijos vs Reina 10–19 34.48%
keijos vs Law 13–11 54.17%
keijos vs Kazuya 9–15 37.50%
keijos vs Jun 11–13 45.83%
keijos vs Yoshimitsu 14–9 60.87%
keijos vs King 9–11 45.00%
keijos vs Bryan 10–9 52.63%
keijos vs Alisa 9–10 47.37%
keijos vs Paul 8–8 50.00%
keijos vs Dragunov 9–7 56.25%
keijos vs Steve 8–7 53.33%
keijos vs Claudio 3–12 20.00%
keijos vs Devil Jin 5–9 35.71%
keijos vs Lili 8–3 72.73%
keijos vs Nina 5–6 45.45%
keijos vs Heihachi 1–10 9.09%
keijos vs Eddy 3–6 33.33%
keijos vs Lidia 3–6 33.33%
keijos vs Hwoarang 3–5 37.50%
keijos vs Leo 1–7 12.50%
keijos vs Feng 5–2 71.43%
keijos vs Asuka 4–2 66.67%
keijos vs Lee 4–2 66.67%
keijos vs Leroy 4–2 66.67%
keijos vs Victor 4–1 80.00%
keijos vs Jack-8 2–1 66.67%
keijos vs Lars 1–2 33.33%
keijos vs Zafina 2–1 66.67%
keijos vs Azucena 1–2 33.33%
keijos vs Raven 1–2 33.33%
keijos vs Clive 2–1 66.67%

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.