Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

roLab vs Heihachi 46–26 63.89%
roLab vs Jin 21–13 61.76%
roLab vs Hwoarang 16–9 64.00%
roLab vs Kazuya 16–7 69.57%
roLab vs Bryan 12–6 66.67%
roLab vs Lee 13–3 81.25%
roLab vs Reina 9–7 56.25%
roLab vs Paul 11–4 73.33%
roLab vs Azucena 9–5 64.29%
roLab vs Jun 9–4 69.23%
roLab vs Yoshimitsu 7–5 58.33%
roLab vs Steve 7–5 58.33%
roLab vs Jack-8 9–3 75.00%
roLab vs Dragunov 12–0 100.00%
roLab vs Law 8–2 80.00%
roLab vs Lili 8–2 80.00%
roLab vs Lidia 3–6 33.33%
roLab vs Shaheen 5–3 62.50%
roLab vs King 6–1 85.71%
roLab vs Asuka 6–1 85.71%
roLab vs Devil Jin 4–3 57.14%
roLab vs Kuma 3–4 42.86%
roLab vs Xiaoyu 5–1 83.33%
roLab vs Leo 2–3 40.00%
roLab vs Eddy 2–3 40.00%
roLab vs Lars 2–2 50.00%
roLab vs Nina 3–1 75.00%
roLab vs Raven 2–2 50.00%
roLab vs Feng 3–0 100.00%
roLab vs Alisa 2–1 66.67%
roLab vs Leroy 3–0 100.00%
roLab vs Panda 0–2 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.