Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Strange Wolf vs Bryan 51–49 51.00%
Strange Wolf vs Kazuya 52–40 56.52%
Strange Wolf vs Jin 51–37 57.95%
Strange Wolf vs Law 52–31 62.65%
Strange Wolf vs King 45–36 55.56%
Strange Wolf vs Reina 29–42 40.85%
Strange Wolf vs Steve 30–28 51.72%
Strange Wolf vs Hwoarang 30–22 57.69%
Strange Wolf vs Lili 27–18 60.00%
Strange Wolf vs Paul 21–23 47.73%
Strange Wolf vs Victor 16–26 38.10%
Strange Wolf vs Dragunov 24–17 58.54%
Strange Wolf vs Xiaoyu 24–15 61.54%
Strange Wolf vs Asuka 23–16 58.97%
Strange Wolf vs Yoshimitsu 19–18 51.35%
Strange Wolf vs Lidia 15–22 40.54%
Strange Wolf vs Lars 18–18 50.00%
Strange Wolf vs Jun 16–20 44.44%
Strange Wolf vs Lee 16–17 48.48%
Strange Wolf vs Eddy 14–19 42.42%
Strange Wolf vs Leroy 16–16 50.00%
Strange Wolf vs Alisa 15–15 50.00%
Strange Wolf vs Nina 13–15 46.43%
Strange Wolf vs Feng 18–9 66.67%
Strange Wolf vs Leo 11–15 42.31%
Strange Wolf vs Azucena 13–12 52.00%
Strange Wolf vs Devil Jin 8–16 33.33%
Strange Wolf vs Jack-8 15–8 65.22%
Strange Wolf vs Raven 4–15 21.05%
Strange Wolf vs Kuma 10–8 55.56%
Strange Wolf vs Zafina 8–10 44.44%
Strange Wolf vs Claudio 6–9 40.00%
Strange Wolf vs Heihachi 9–4 69.23%
Strange Wolf vs Shaheen 2–5 28.57%
Strange Wolf vs Clive 0–6 0.00%
Strange Wolf vs Panda 1–2 33.33%

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.