Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Lilat vs Reina 19–20 48.72%
Lilat vs Kazuya 25–10 71.43%
Lilat vs Jin 20–12 62.50%
Lilat vs Steve 21–9 70.00%
Lilat vs King 18–10 64.29%
Lilat vs Eddy 19–9 67.86%
Lilat vs Yoshimitsu 16–11 59.26%
Lilat vs Azucena 17–9 65.38%
Lilat vs Bryan 13–12 52.00%
Lilat vs Law 15–7 68.18%
Lilat vs Victor 14–7 66.67%
Lilat vs Paul 7–13 35.00%
Lilat vs Lars 11–9 55.00%
Lilat vs Hwoarang 9–8 52.94%
Lilat vs Xiaoyu 12–5 70.59%
Lilat vs Lili 13–4 76.47%
Lilat vs Jun 10–6 62.50%
Lilat vs Alisa 10–5 66.67%
Lilat vs Dragunov 9–5 64.29%
Lilat vs Asuka 9–4 69.23%
Lilat vs Feng 8–4 66.67%
Lilat vs Nina 10–2 83.33%
Lilat vs Lee 7–5 58.33%
Lilat vs Leroy 5–6 45.45%
Lilat vs Devil Jin 9–1 90.00%
Lilat vs Leo 6–4 60.00%
Lilat vs Claudio 4–6 40.00%
Lilat vs Raven 5–4 55.56%
Lilat vs Jack-8 5–3 62.50%
Lilat vs Shaheen 4–2 66.67%
Lilat vs Kuma 3–3 50.00%
Lilat vs Zafina 0–2 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.