Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

RollingGirl
EWGPrincess
DownwardDog
StickLearnMercy
RollingGirl vs Kazuya 32–19 62.75%
RollingGirl vs Reina 30–20 60.00%
RollingGirl vs Jin 16–19 45.71%
RollingGirl vs Heihachi 15–17 46.88%
RollingGirl vs Dragunov 16–15 51.61%
RollingGirl vs King 14–15 48.28%
RollingGirl vs Lili 20–7 74.07%
RollingGirl vs Lidia 15–6–1 71.43%
RollingGirl vs Yoshimitsu 14–5 73.68%
RollingGirl vs Steve 9–8 52.94%
RollingGirl vs Hwoarang 7–9 43.75%
RollingGirl vs Bryan 5–11 31.25%
RollingGirl vs Leo 8–8 50.00%
RollingGirl vs Jun 7–9 43.75%
RollingGirl vs Paul 10–5 66.67%
RollingGirl vs Devil Jin 9–6 60.00%
RollingGirl vs Victor 9–6 60.00%
RollingGirl vs Law 10–4 71.43%
RollingGirl vs Lars 8–6 57.14%
RollingGirl vs Asuka 8–5 61.54%
RollingGirl vs Lee 6–7 46.15%
RollingGirl vs Clive 4–8 33.33%
RollingGirl vs Claudio 8–2 80.00%
RollingGirl vs Leroy 7–3 70.00%
RollingGirl vs Eddy 8–2 80.00%
RollingGirl vs Alisa 3–6 33.33%
RollingGirl vs Shaheen 5–4 55.56%
RollingGirl vs Azucena 9–0 100.00%
RollingGirl vs Xiaoyu 5–3 62.50%
RollingGirl vs Jack-8 5–3 62.50%
RollingGirl vs Feng 4–4 50.00%
RollingGirl vs Nina 4–4 50.00%
RollingGirl vs Kuma 2–2 50.00%
RollingGirl vs Panda 1–2 33.33%
RollingGirl vs Zafina 1–2 33.33%
RollingGirl vs Raven 1–1 50.00%

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.