Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

frieren vs Reina 18–16 52.94%
frieren vs Jin 11–17 39.29%
frieren vs Dragunov 14–7 66.67%
frieren vs King 10–10 50.00%
frieren vs Hwoarang 12–8 60.00%
frieren vs Kazuya 15–5 75.00%
frieren vs Steve 12–4 75.00%
frieren vs Victor 7–9 43.75%
frieren vs Leroy 11–4 73.33%
frieren vs Yoshimitsu 6–8 42.86%
frieren vs Azucena 10–4 71.43%
frieren vs Eddy 5–9 35.71%
frieren vs Law 2–11 15.38%
frieren vs Xiaoyu 7–6 53.85%
frieren vs Bryan 5–8 38.46%
frieren vs Alisa 6–6 50.00%
frieren vs Leo 6–5 54.55%
frieren vs Paul 6–4 60.00%
frieren vs Lili 6–4 60.00%
frieren vs Jun 9–1 90.00%
frieren vs Lars 3–5 37.50%
frieren vs Kuma 4–4 50.00%
frieren vs Claudio 3–4 42.86%
frieren vs Feng 1–5 16.67%
frieren vs Devil Jin 3–2 60.00%
frieren vs Lee 2–3 40.00%
frieren vs Raven 3–2 60.00%
frieren vs Nina 4–0 100.00%
frieren vs Asuka 3–0 100.00%
frieren vs Jack-8 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.