Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

RomL vs Paul 20–11 64.52%
RomL vs Kazuya 18–13 58.06%
RomL vs Jin 17–13 56.67%
RomL vs Reina 26–4 86.67%
RomL vs Bryan 14–8 63.64%
RomL vs Asuka 13–7 65.00%
RomL vs Dragunov 9–10 47.37%
RomL vs Lidia 13–6 68.42%
RomL vs Yoshimitsu 7–10 41.18%
RomL vs King 8–8 50.00%
RomL vs Victor 6–10 37.50%
RomL vs Hwoarang 10–5 66.67%
RomL vs Law 10–4 71.43%
RomL vs Devil Jin 10–4 71.43%
RomL vs Steve 6–6 50.00%
RomL vs Lili 10–2 83.33%
RomL vs Azucena 10–2 83.33%
RomL vs Jack-8 6–4 60.00%
RomL vs Eddy 4–6 40.00%
RomL vs Clive 6–4 60.00%
RomL vs Claudio 7–2 77.78%
RomL vs Jun 4–5 44.44%
RomL vs Nina 4–2 66.67%
RomL vs Kuma 3–3 50.00%
RomL vs Lars 1–4 20.00%
RomL vs Alisa 3–2 60.00%
RomL vs Lee 3–2 60.00%
RomL vs Xiaoyu 4–0 100.00%
RomL vs Feng 2–2 50.00%
RomL vs Shaheen 2–1 66.67%
RomL vs Leroy 0–3 0.00%
RomL vs Raven 2–1 66.67%

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.