Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

YameteKudasai vs Jin 37–33 52.86%
YameteKudasai vs Bryan 34–31 52.31%
YameteKudasai vs Lili 39–25 60.94%
YameteKudasai vs Hwoarang 35–27 56.45%
YameteKudasai vs Dragunov 26–29 47.27%
YameteKudasai vs Kazuya 25–28 47.17%
YameteKudasai vs Yoshimitsu 34–16 68.00%
YameteKudasai vs Nina 26–24 52.00%
YameteKudasai vs Reina 34–16 68.00%
YameteKudasai vs Law 27–21 56.25%
YameteKudasai vs Paul 29–15 65.91%
YameteKudasai vs King 23–20 53.49%
YameteKudasai vs Steve 18–24 42.86%
YameteKudasai vs Lee 26–15 63.41%
YameteKudasai vs Devil Jin 22–13 62.86%
YameteKudasai vs Lars 17–18 48.57%
YameteKudasai vs Xiaoyu 16–17 48.48%
YameteKudasai vs Raven 19–11 63.33%
YameteKudasai vs Eddy 17–13 56.67%
YameteKudasai vs Leo 16–13 55.17%
YameteKudasai vs Jack-8 17–11 60.71%
YameteKudasai vs Lidia 7–18 28.00%
YameteKudasai vs Victor 12–12 50.00%
YameteKudasai vs Feng 9–13 40.91%
YameteKudasai vs Kuma 12–7 63.16%
YameteKudasai vs Zafina 12–7 63.16%
YameteKudasai vs Azucena 12–7 63.16%
YameteKudasai vs Alisa 12–6 66.67%
YameteKudasai vs Shaheen 10–8 55.56%
YameteKudasai vs Jun 8–9 47.06%
YameteKudasai vs Asuka 10–5 66.67%
YameteKudasai vs Heihachi 1–10 9.09%
YameteKudasai vs Claudio 5–5 50.00%
YameteKudasai vs Leroy 5–4 55.56%
YameteKudasai vs Panda 2–3 40.00%

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.