Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Lilac vs Kazuya 11–19 36.67%
Lilac vs Jin 8–15 34.78%
Lilac vs Eddy 8–15 34.78%
Lilac vs King 9–12 42.86%
Lilac vs Asuka 9–11 45.00%
Lilac vs Lili 9–10 47.37%
Lilac vs Dragunov 7–12 36.84%
Lilac vs Yoshimitsu 9–7 56.25%
Lilac vs Azucena 4–12 25.00%
Lilac vs Heihachi 4–12 25.00%
Lilac vs Hwoarang 4–11 26.67%
Lilac vs Reina 4–11 26.67%
Lilac vs Steve 3–10 23.08%
Lilac vs Paul 7–5 58.33%
Lilac vs Bryan 7–5 58.33%
Lilac vs Jun 5–6 45.45%
Lilac vs Victor 4–7 36.36%
Lilac vs Feng 1–9 10.00%
Lilac vs Law 2–6 25.00%
Lilac vs Nina 3–5 37.50%
Lilac vs Devil Jin 1–6 14.29%
Lilac vs Leo 4–3 57.14%
Lilac vs Lars 6–0 100.00%
Lilac vs Lee 3–3 50.00%
Lilac vs Kuma 1–5 16.67%
Lilac vs Shaheen 4–1 80.00%
Lilac vs Clive 1–4 20.00%
Lilac vs Anna 3–1 75.00%
Lilac vs Alisa 0–3 0.00%
Lilac vs Lidia 0–3 0.00%
Lilac vs Xiaoyu 1–1 50.00%
Lilac vs Leroy 0–2 0.00%
Lilac 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.