Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Lets improve
26bF-mYqr-9gqQ xbox TrainForTWT Europe

Ratings

Lets improve vs Jin 32–3 91.43%
Lets improve vs King 19–4 82.61%
Lets improve vs Kazuya 22–0 100.00%
Lets improve vs Lidia 18–1 94.74%
Lets improve vs Reina 12–2 85.71%
Lets improve vs Paul 11–1 91.67%
Lets improve vs Steve 9–3 75.00%
Lets improve vs Yoshimitsu 9–2 81.82%
Lets improve vs Jun 11–0 100.00%
Lets improve vs Hwoarang 10–0 100.00%
Lets improve vs Jack-8 7–3 70.00%
Lets improve vs Feng 6–3 66.67%
Lets improve vs Alisa 7–2 77.78%
Lets improve vs Lili 7–0 100.00%
Lets improve vs Azucena 5–2 71.43%
Lets improve vs Bryan 6–0 100.00%
Lets improve vs Leo 4–2 66.67%
Lets improve vs Leroy 5–1 83.33%
Lets improve vs Law 5–0 100.00%
Lets improve vs Dragunov 5–0 100.00%
Lets improve vs Nina 5–0 100.00%
Lets improve vs Victor 5–0 100.00%
Lets improve vs Raven 5–0 100.00%
Lets improve vs Claudio 3–0 100.00%
Lets improve vs Shaheen 1–2 33.33%
Lets improve vs Kuma 2–1 66.67%
Lets improve vs Lars 2–0 100.00%
Lets improve vs Zafina 1–0 100.00%
Lets improve vs Eddy 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.