Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

kickback vs Bryan 28–33 45.90%
kickback vs Reina 38–23 62.30%
kickback vs King 29–22 56.86%
kickback vs Lidia 27–19 58.70%
kickback vs Heihachi 20–26 43.48%
kickback vs Jin 24–19 55.81%
kickback vs Lili 27–14 65.85%
kickback vs Kazuya 29–10 74.36%
kickback vs Asuka 19–16 54.29%
kickback vs Yoshimitsu 21–13 61.76%
kickback vs Paul 21–12 63.64%
kickback vs Dragunov 14–15 48.28%
kickback vs Steve 21–7 75.00%
kickback vs Lee 15–13 53.57%
kickback vs Hwoarang 11–16 40.74%
kickback vs Feng 12–13 48.00%
kickback vs Jun 15–10 60.00%
kickback vs Devil Jin 16–7 69.57%
kickback vs Azucena 13–8 61.90%
kickback vs Law 7–11 38.89%
kickback vs Raven 9–9 50.00%
kickback vs Xiaoyu 9–8 52.94%
kickback vs Leo 8–8 50.00%
kickback vs Lars 6–9 40.00%
kickback vs Jack-8 9–5 64.29%
kickback vs Shaheen 7–6 53.85%
kickback vs Nina 8–5 61.54%
kickback vs Leroy 9–4 69.23%
kickback vs Claudio 4–8 33.33%
kickback vs Clive 7–5 58.33%
kickback vs Alisa 5–5 50.00%
kickback vs Victor 5–3 62.50%
kickback vs Eddy 7–1 87.50%
kickback vs Zafina 3–4 42.86%
kickback vs Panda 1–4 20.00%
kickback vs Anna 2–1 66.67%
kickback vs Fahkumram 2–0 100.00%

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.