Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

uni630 vs Bryan 30–28 51.72%
uni630 vs Asuka 36–15 70.59%
uni630 vs Dragunov 37–14 72.55%
uni630 vs Paul 37–12 75.51%
uni630 vs Heihachi 39–10 79.59%
uni630 vs Hwoarang 38–9 80.85%
uni630 vs King 34–12 73.91%
uni630 vs Jin 31–14 68.89%
uni630 vs Reina 30–9 76.92%
uni630 vs Kazuya 24–13 64.86%
uni630 vs Yoshimitsu 25–10 71.43%
uni630 vs Claudio 30–5 85.71%
uni630 vs Nina 17–13 56.67%
uni630 vs Steve 18–11 62.07%
uni630 vs Alisa 21–8 72.41%
uni630 vs Lili 17–11 60.71%
uni630 vs Leo 16–12 57.14%
uni630 vs Azucena 18–10 64.29%
uni630 vs Devil Jin 16–11 59.26%
uni630 vs Feng 17–10 62.96%
uni630 vs Raven 22–5 81.48%
uni630 vs Xiaoyu 17–9 65.38%
uni630 vs Jack-8 17–9 65.38%
uni630 vs Lars 18–8 69.23%
uni630 vs Victor 19–7 73.08%
uni630 vs Leroy 17–8 68.00%
uni630 vs Jun 18–6 75.00%
uni630 vs Anna 15–8 65.22%
uni630 vs Kuma 17–5 77.27%
uni630 vs Clive 9–12 42.86%
uni630 vs Law 12–8 60.00%
uni630 vs Eddy 11–9 55.00%
uni630 vs Lidia 7–11 38.89%
uni630 vs Lee 13–4 76.47%
uni630 vs Shaheen 9–5 64.29%
uni630 vs Zafina 7–0 100.00%
uni630 vs Panda 3–1 75.00%

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.