Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

RandM vs Hwoarang 18–8 69.23%
RandM vs King 10–10 50.00%
RandM vs Eddy 9–8 52.94%
RandM vs Law 9–7 56.25%
RandM vs Kazuya 10–6 62.50%
RandM vs Bryan 6–9 40.00%
RandM vs Jin 11–3 78.57%
RandM vs Feng 7–5 58.33%
RandM vs Reina 10–2 83.33%
RandM vs Asuka 6–5 54.55%
RandM vs Lili 9–2 81.82%
RandM vs Dragunov 8–3 72.73%
RandM vs Nina 8–3 72.73%
RandM vs Lars 3–7 30.00%
RandM vs Jun 9–1 90.00%
RandM vs Victor 5–4 55.56%
RandM vs Fahkumram 5–3 62.50%
RandM vs Steve 4–3 57.14%
RandM vs Azucena 5–2 71.43%
RandM vs Heihachi 5–2 71.43%
RandM vs Xiaoyu 4–1 80.00%
RandM vs Jack-8 4–1 80.00%
RandM vs Leo 2–3 40.00%
RandM vs Lee 2–3 40.00%
RandM vs Armor King 1–4 20.00%
RandM vs Paul 4–0 100.00%
RandM vs Lidia 3–1 75.00%
RandM vs Yoshimitsu 2–1 66.67%
RandM vs Raven 2–1 66.67%
RandM vs Clive 2–0 100.00%
RandM vs Anna 2–0 100.00%
RandM vs Alisa 0–1 0.00%
RandM vs Kuma 1–0 100.00%
RandM vs Leroy 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.