Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

warm milk vs King 11–14 44.00%
warm milk vs Jin 13–8 61.90%
warm milk vs Kazuya 6–15 28.57%
warm milk vs Reina 9–12 42.86%
warm milk vs Nina 10–8 55.56%
warm milk vs Hwoarang 9–7 56.25%
warm milk vs Steve 7–8 46.67%
warm milk vs Victor 8–7 53.33%
warm milk vs Law 5–9 35.71%
warm milk vs Yoshimitsu 10–4 71.43%
warm milk vs Eddy 3–11 21.43%
warm milk vs Bryan 4–8 33.33%
warm milk vs Lili 3–8 27.27%
warm milk vs Dragunov 9–2 81.82%
warm milk vs Shaheen 7–4 63.64%
warm milk vs Azucena 5–6 45.45%
warm milk vs Paul 4–6 40.00%
warm milk vs Xiaoyu 2–7 22.22%
warm milk vs Asuka 2–6 25.00%
warm milk vs Devil Jin 5–3 62.50%
warm milk vs Jun 1–7 12.50%
warm milk vs Leroy 3–4 42.86%
warm milk vs Claudio 4–2 66.67%
warm milk vs Lee 4–2 66.67%
warm milk vs Leo 3–2 60.00%
warm milk vs Lars 1–4 20.00%
warm milk vs Alisa 1–4 20.00%
warm milk vs Kuma 3–2 60.00%
warm milk vs Feng 0–4 0.00%
warm milk vs Raven 2–2 50.00%
warm milk vs Lidia 4–0 100.00%
warm milk vs Panda 1–1 50.00%
warm milk vs Heihachi 2–0 100.00%
warm milk vs Zafina 1–0 100.00%

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.