Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

emerald moon vs Kazuya 57–78 42.22%
emerald moon vs Jin 38–60 38.78%
emerald moon vs Dragunov 32–50 39.02%
emerald moon vs Bryan 37–39 48.68%
emerald moon vs Lili 30–45 40.00%
emerald moon vs Reina 33–42 44.00%
emerald moon vs King 38–31 55.07%
emerald moon vs Paul 27–40 40.30%
emerald moon vs Hwoarang 34–25 57.63%
emerald moon vs Law 18–40 31.03%
emerald moon vs Steve 27–21 56.25%
emerald moon vs Nina 22–23 48.89%
emerald moon vs Yoshimitsu 20–22 47.62%
emerald moon vs Asuka 14–28 33.33%
emerald moon vs Jun 20–20 50.00%
emerald moon vs Devil Jin 16–22 42.11%
emerald moon vs Feng 12–26 31.58%
emerald moon vs Raven 13–23 36.11%
emerald moon vs Xiaoyu 13–21 38.24%
emerald moon vs Lee 15–19 44.12%
emerald moon vs Eddy 13–21 38.24%
emerald moon vs Alisa 16–16 50.00%
emerald moon vs Victor 14–15 48.28%
emerald moon vs Azucena 12–16 42.86%
emerald moon vs Heihachi 12–13 48.00%
emerald moon vs Lidia 9–14 39.13%
emerald moon vs Leo 9–10 47.37%
emerald moon vs Zafina 7–11 38.89%
emerald moon vs Lars 5–11 31.25%
emerald moon vs Claudio 3–13 18.75%
emerald moon vs Jack-8 6–5 54.55%
emerald moon vs Leroy 5–4 55.56%
emerald moon vs Shaheen 1–7 12.50%
emerald moon vs Kuma 1–3 25.00%
emerald moon vs Panda 0–4 0.00%
emerald moon vs Clive 2–1 66.67%

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.