Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

TTV 0berty vs Jin 7–8 46.67%
TTV 0berty vs King 8–4 66.67%
TTV 0berty vs Hwoarang 5–7 41.67%
TTV 0berty vs Kazuya 1–10 9.09%
TTV 0berty vs Lili 5–6 45.45%
TTV 0berty vs Steve 9–1 90.00%
TTV 0berty vs Azucena 9–1 90.00%
TTV 0berty vs Xiaoyu 6–2 75.00%
TTV 0berty vs Devil Jin 4–3 57.14%
TTV 0berty vs Armor King 4–2 66.67%
TTV 0berty vs Nina 4–1 80.00%
TTV 0berty vs Reina 2–3 40.00%
TTV 0berty vs Law 1–3 25.00%
TTV 0berty vs Yoshimitsu 1–3 25.00%
TTV 0berty vs Dragunov 2–2 50.00%
TTV 0berty vs Heihachi 4–0 100.00%
TTV 0berty vs Fahkumram 4–0 100.00%
TTV 0berty vs Jun 2–1 66.67%
TTV 0berty vs Alisa 1–1 50.00%
TTV 0berty vs Panda 2–0 100.00%
TTV 0berty vs Leroy 2–0 100.00%
TTV 0berty vs Feng 0–1 0.00%
TTV 0berty vs Victor 0–1 0.00%
TTV 0berty vs Lidia 0–1 0.00%
TTV 0berty vs Clive 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.