Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Perfect-AMM vs Jin 44–33 57.14%
Perfect-AMM vs Bryan 43–24 64.18%
Perfect-AMM vs Dragunov 31–26 54.39%
Perfect-AMM vs Hwoarang 27–26 50.94%
Perfect-AMM vs Kazuya 30–21 58.82%
Perfect-AMM vs Lidia 35–16 68.63%
Perfect-AMM vs Paul 22–28 44.00%
Perfect-AMM vs Asuka 26–20 56.52%
Perfect-AMM vs Jack-8 27–14 65.85%
Perfect-AMM vs Reina 24–16 60.00%
Perfect-AMM vs Azucena 27–13 67.50%
Perfect-AMM vs Yoshimitsu 20–19 51.28%
Perfect-AMM vs Feng 23–15 60.53%
Perfect-AMM vs King 20–14 58.82%
Perfect-AMM vs Steve 21–12 63.64%
Perfect-AMM vs Heihachi 20–12 62.50%
Perfect-AMM vs Lili 16–14 53.33%
Perfect-AMM vs Claudio 14–16 46.67%
Perfect-AMM vs Leroy 17–13 56.67%
Perfect-AMM vs Lars 17–12 58.62%
Perfect-AMM vs Anna 14–14 50.00%
Perfect-AMM vs Alisa 17–10 62.96%
Perfect-AMM vs Law 15–9 62.50%
Perfect-AMM vs Leo 12–12 50.00%
Perfect-AMM vs Jun 13–10–1 56.52%
Perfect-AMM vs Raven 9–15 37.50%
Perfect-AMM vs Devil Jin 13–10 56.52%
Perfect-AMM vs Nina 10–13 43.48%
Perfect-AMM vs Lee 16–7 69.57%
Perfect-AMM vs Shaheen 14–7 66.67%
Perfect-AMM vs Victor 16–5 76.19%
Perfect-AMM vs Xiaoyu 10–5 66.67%
Perfect-AMM vs Kuma 7–6 53.85%
Perfect-AMM vs Eddy 7–6 53.85%
Perfect-AMM vs Zafina 8–3 72.73%
Perfect-AMM vs Clive 5–6 45.45%
Perfect-AMM vs Panda 5–4 55.56%

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.