Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

keginbed vs King 18–21 46.15%
keginbed vs Jin 18–16 52.94%
keginbed vs Bryan 14–11 56.00%
keginbed vs Reina 9–13 40.91%
keginbed vs Kazuya 11–9 55.00%
keginbed vs Dragunov 10–8 55.56%
keginbed vs Steve 8–8 50.00%
keginbed vs Yoshimitsu 10–5 66.67%
keginbed vs Hwoarang 10–5 66.67%
keginbed vs Law 6–8 42.86%
keginbed vs Asuka 11–3 78.57%
keginbed vs Devil Jin 5–6 45.45%
keginbed vs Lee 6–5 54.55%
keginbed vs Jun 3–8 27.27%
keginbed vs Feng 5–5 50.00%
keginbed vs Paul 3–6 33.33%
keginbed vs Azucena 4–5 44.44%
keginbed vs Eddy 2–7 22.22%
keginbed vs Kuma 4–4 50.00%
keginbed vs Victor 2–5 28.57%
keginbed vs Jack-8 3–3 50.00%
keginbed vs Nina 2–4 33.33%
keginbed vs Lili 3–2 60.00%
keginbed vs Leo 1–4 20.00%
keginbed vs Xiaoyu 0–3 0.00%
keginbed vs Lars 1–2 33.33%
keginbed vs Leroy 1–2 33.33%
keginbed vs Alisa 2–0 100.00%
keginbed vs Raven 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.