Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Dima19 vs King 20–5 80.00%
Dima19 vs Jin 10–10 50.00%
Dima19 vs Kazuya 11–5 68.75%
Dima19 vs Steve 13–2 86.67%
Dima19 vs Lili 7–7 50.00%
Dima19 vs Hwoarang 9–4 69.23%
Dima19 vs Asuka 8–5 61.54%
Dima19 vs Xiaoyu 6–4 60.00%
Dima19 vs Dragunov 5–4 55.56%
Dima19 vs Victor 7–2 77.78%
Dima19 vs Bryan 5–3 62.50%
Dima19 vs Reina 7–1 87.50%
Dima19 vs Law 3–4 42.86%
Dima19 vs Alisa 4–3 57.14%
Dima19 vs Nina 2–4 33.33%
Dima19 vs Raven 4–2 66.67%
Dima19 vs Lidia 3–3 50.00%
Dima19 vs Yoshimitsu 1–4 20.00%
Dima19 vs Feng 2–3 40.00%
Dima19 vs Eddy 3–2 60.00%
Dima19 vs Lee 0–4 0.00%
Dima19 vs Zafina 4–0 100.00%
Dima19 vs Shaheen 3–0 100.00%
Dima19 vs Leroy 1–2 33.33%
Dima19 vs Devil Jin 2–0 100.00%
Dima19 vs Panda 0–2 0.00%
Dima19 vs Clive 2–0 100.00%
Dima19 vs Paul 0–1 0.00%
Dima19 vs Lars 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.