Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Lovely vs King 25–25 50.00%
Lovely vs Kazuya 23–19 54.76%
Lovely vs Reina 22–19 53.66%
Lovely vs Jin 24–13 64.86%
Lovely vs Hwoarang 18–16 52.94%
Lovely vs Bryan 13–18 41.94%
Lovely vs Lili 13–17 43.33%
Lovely vs Eddy 19–10 65.52%
Lovely vs Jun 17–8 68.00%
Lovely vs Yoshimitsu 16–8 66.67%
Lovely vs Law 9–12 42.86%
Lovely vs Leo 11–10 52.38%
Lovely vs Dragunov 9–11 45.00%
Lovely vs Azucena 11–9 55.00%
Lovely vs Asuka 16–3 84.21%
Lovely vs Paul 9–9 50.00%
Lovely vs Xiaoyu 11–5 68.75%
Lovely vs Steve 8–8 50.00%
Lovely vs Lee 10–6 62.50%
Lovely vs Shaheen 7–8 46.67%
Lovely vs Nina 7–8 46.67%
Lovely vs Alisa 9–5 64.29%
Lovely vs Lars 2–10 16.67%
Lovely vs Devil Jin 4–6 40.00%
Lovely vs Victor 4–4 50.00%
Lovely vs Feng 1–6 14.29%
Lovely vs Kuma 5–2 71.43%
Lovely vs Raven 5–2 71.43%
Lovely vs Leroy 4–2 66.67%
Lovely vs Jack-8 1–4 20.00%
Lovely vs Claudio 2–2 50.00%
Lovely vs Panda 1–2 33.33%
Lovely vs Zafina 3–0 100.00%

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.