Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

playingtoys vs Fahkumram 12–14 46.15%
playingtoys vs King 6–17 26.09%
playingtoys vs Victor 5–5 50.00%
playingtoys vs Jin 5–4 55.56%
playingtoys vs Bryan 5–4 55.56%
playingtoys vs Steve 2–7 22.22%
playingtoys vs Eddy 1–6 14.29%
playingtoys vs Law 1–5 16.67%
playingtoys vs Hwoarang 2–4 33.33%
playingtoys vs Reina 2–3 40.00%
playingtoys vs Raven 3–2 60.00%
playingtoys vs Lidia 1–4 20.00%
playingtoys vs Clive 4–1 80.00%
playingtoys vs Anna 1–4 20.00%
playingtoys vs Kazuya 4–0 100.00%
playingtoys vs Azucena 1–3 25.00%
playingtoys vs Lili 2–1 66.67%
playingtoys vs Yoshimitsu 2–0 100.00%
playingtoys vs Asuka 2–0 100.00%
playingtoys vs Devil Jin 1–1 50.00%
playingtoys vs Feng 0–2 0.00%
playingtoys vs Dragunov 1–1 50.00%
playingtoys vs Leo 1–1 50.00%
playingtoys vs Lars 2–0 100.00%
playingtoys vs Claudio 2–0 100.00%
playingtoys vs Nina 0–2 0.00%
playingtoys vs Leroy 2–0 100.00%
playingtoys vs Jun 1–1 50.00%
playingtoys vs Heihachi 2–0 100.00%

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.