Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

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iIIIIIIi1i1iiIl vs Reina 67–18 78.82%
iIIIIIIi1i1iiIl vs Jin 44–17 72.13%
iIIIIIIi1i1iiIl vs Lili 46–11 80.70%
iIIIIIIi1i1iiIl vs Dragunov 43–14 75.44%
iIIIIIIi1i1iiIl vs Paul 45–9 83.33%
iIIIIIIi1i1iiIl vs Asuka 44–10 81.48%
iIIIIIIi1i1iiIl vs Kazuya 41–12 77.36%
iIIIIIIi1i1iiIl vs Victor 41–8 83.67%
iIIIIIIi1i1iiIl vs Eddy 29–20 59.18%
iIIIIIIi1i1iiIl vs Azucena 36–9 80.00%
iIIIIIIi1i1iiIl vs King 29–13 69.05%
iIIIIIIi1i1iiIl vs Bryan 29–11 72.50%
iIIIIIIi1i1iiIl vs Steve 28–12 70.00%
iIIIIIIi1i1iiIl vs Devil Jin 23–17 57.50%
iIIIIIIi1i1iiIl vs Jun 34–5 87.18%
iIIIIIIi1i1iiIl vs Hwoarang 28–9 75.68%
iIIIIIIi1i1iiIl vs Law 29–6 82.86%
iIIIIIIi1i1iiIl vs Alisa 25–9 73.53%
iIIIIIIi1i1iiIl vs Feng 20–8 71.43%
iIIIIIIi1i1iiIl vs Leroy 15–11 57.69%
iIIIIIIi1i1iiIl vs Shaheen 17–7 70.83%
iIIIIIIi1i1iiIl vs Nina 17–7 70.83%
iIIIIIIi1i1iiIl vs Xiaoyu 18–5 78.26%
iIIIIIIi1i1iiIl vs Claudio 19–4 82.61%
iIIIIIIi1i1iiIl vs Yoshimitsu 17–5 77.27%
iIIIIIIi1i1iiIl vs Leo 20–1 95.24%
iIIIIIIi1i1iiIl vs Jack-8 13–5 72.22%
iIIIIIIi1i1iiIl vs Kuma 12–6 66.67%
iIIIIIIi1i1iiIl vs Lars 12–4 75.00%
iIIIIIIi1i1iiIl vs Lee 10–6 62.50%
iIIIIIIi1i1iiIl vs Zafina 9–7 56.25%
iIIIIIIi1i1iiIl vs Raven 6–4 60.00%
iIIIIIIi1i1iiIl vs Panda 4–0 100.00%

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.