Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Shameless vs Armor King 63–71 47.01%
Shameless vs Kazuya 67–65 50.76%
Shameless vs Jin 47–42 52.81%
Shameless vs Bryan 36–39 48.00%
Shameless vs Reina 39–30 56.52%
Shameless vs Steve 41–19 68.33%
Shameless vs King 36–23 61.02%
Shameless vs Paul 26–28 48.15%
Shameless vs Hwoarang 29–25 53.70%
Shameless vs Yoshimitsu 20–21 48.78%
Shameless vs Lili 19–19 50.00%
Shameless vs Devil Jin 16–21 43.24%
Shameless vs Dragunov 22–15 59.46%
Shameless vs Azucena 22–14 61.11%
Shameless vs Heihachi 23–13 63.89%
Shameless vs Lee 16–19 45.71%
Shameless vs Eddy 13–20 39.39%
Shameless vs Lidia 17–15 53.12%
Shameless vs Law 11–20 35.48%
Shameless vs Asuka 13–15–1 46.43%
Shameless vs Jun 18–9 66.67%
Shameless vs Anna 13–12 52.00%
Shameless vs Feng 9–15 37.50%
Shameless vs Alisa 13–10 56.52%
Shameless vs Nina 14–7 66.67%
Shameless vs Clive 12–8 60.00%
Shameless vs Claudio 11–7 61.11%
Shameless vs Lars 12–5 70.59%
Shameless vs Fahkumram 5–10 33.33%
Shameless vs Xiaoyu 9–5 64.29%
Shameless vs Leo 7–7 50.00%
Shameless vs Victor 6–8 42.86%
Shameless vs Zafina 5–6 45.45%
Shameless vs Raven 7–4 63.64%
Shameless vs Miary Zo 3–7 30.00%
Shameless vs Jack-8 6–3 66.67%
Shameless vs Kuma 2–7 22.22%
Shameless vs Leroy 4–5 44.44%
Shameless vs Shaheen 4–1 80.00%
Shameless vs Panda 2–2 50.00%

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.