Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

We Too Low vs Kazuya 78–62 55.71%
We Too Low vs Jin 57–76 42.86%
We Too Low vs Dragunov 51–37 57.95%
We Too Low vs Reina 51–36 58.62%
We Too Low vs Bryan 38–34 52.78%
We Too Low vs King 40–26 60.61%
We Too Low vs Steve 36–26 58.06%
We Too Low vs Yoshimitsu 38–20 65.52%
We Too Low vs Law 27–26 50.94%
We Too Low vs Hwoarang 32–21 60.38%
We Too Low vs Victor 31–22 58.49%
We Too Low vs Lili 29–22 56.86%
We Too Low vs Lidia 34–14 70.83%
We Too Low vs Asuka 25–17 59.52%
We Too Low vs Jun 23–18 56.10%
We Too Low vs Lee 26–12 68.42%
We Too Low vs Paul 25–12 67.57%
We Too Low vs Lars 25–12 67.57%
We Too Low vs Alisa 17–19 47.22%
We Too Low vs Devil Jin 18–16 52.94%
We Too Low vs Heihachi 21–12 63.64%
We Too Low vs Azucena 20–11 64.52%
We Too Low vs Nina 15–11 57.69%
We Too Low vs Raven 17–9 65.38%
We Too Low vs Feng 12–11 52.17%
We Too Low vs Leo 15–6 71.43%
We Too Low vs Claudio 10–11 47.62%
We Too Low vs Xiaoyu 12–6 66.67%
We Too Low vs Eddy 10–8 55.56%
We Too Low vs Leroy 10–7 58.82%
We Too Low vs Shaheen 6–7 46.15%
We Too Low vs Jack-8 5–7 41.67%
We Too Low vs Clive 6–5 54.55%
We Too Low vs Fahkumram 1–9 10.00%
We Too Low vs Kuma 2–7 22.22%
We Too Low vs Armor King 3–4 42.86%
We Too Low vs Zafina 3–3 50.00%
We Too Low vs Anna 0–1 0.00%

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.