Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MrGoose vs Reina 12–12 50.00%
MrGoose vs Lili 8–5 61.54%
MrGoose vs Eddy 8–5 61.54%
MrGoose vs Azucena 7–3 70.00%
MrGoose vs Devil Jin 6–3 66.67%
MrGoose vs Nina 4–3 57.14%
MrGoose vs Victor 4–3 57.14%
MrGoose vs Hwoarang 1–5 16.67%
MrGoose vs Jin 3–3 50.00%
MrGoose vs Kazuya 3–3 50.00%
MrGoose vs Steve 5–1 83.33%
MrGoose vs Jun 4–2 66.67%
MrGoose vs Dragunov 2–3 40.00%
MrGoose vs Law 0–4 0.00%
MrGoose vs Yoshimitsu 4–0 100.00%
MrGoose vs Jack-8 2–2 50.00%
MrGoose vs Paul 2–1 66.67%
MrGoose vs King 2–1 66.67%
MrGoose vs Alisa 2–1 66.67%
MrGoose vs Zafina 2–1 66.67%
MrGoose vs Leroy 2–1 66.67%
MrGoose vs Xiaoyu 2–0 100.00%
MrGoose vs Asuka 0–2 0.00%
MrGoose vs Feng 2–0 100.00%
MrGoose vs Leo 0–2 0.00%
MrGoose vs Shaheen 2–0 100.00%
MrGoose vs Raven 2–0 100.00%
MrGoose vs Claudio 1–0 100.00%
MrGoose vs Heihachi 1–0 100.00%

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.