Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

ARMSTRONG vs Jin 55–30 64.71%
ARMSTRONG vs Kazuya 49–23 68.06%
ARMSTRONG vs Bryan 47–21 69.12%
ARMSTRONG vs King 33–24 57.89%
ARMSTRONG vs Dragunov 22–25 46.81%
ARMSTRONG vs Steve 29–11 72.50%
ARMSTRONG vs Lili 23–14 62.16%
ARMSTRONG vs Lee 21–12 63.64%
ARMSTRONG vs Law 17–13 56.67%
ARMSTRONG vs Devil Jin 20–9 68.97%
ARMSTRONG vs Armor King 12–12 50.00%
ARMSTRONG vs Paul 13–9 59.09%
ARMSTRONG vs Anna 8–14 36.36%
ARMSTRONG vs Azucena 10–9 52.63%
ARMSTRONG vs Asuka 8–10 44.44%
ARMSTRONG vs Victor 13–5 72.22%
ARMSTRONG vs Heihachi 8–10 44.44%
ARMSTRONG vs Hwoarang 11–6 64.71%
ARMSTRONG vs Reina 15–2 88.24%
ARMSTRONG vs Eddy 9–7 56.25%
ARMSTRONG vs Fahkumram 11–5 68.75%
ARMSTRONG vs Alisa 7–8 46.67%
ARMSTRONG vs Jun 10–5 66.67%
ARMSTRONG vs Miary Zo 5–9 35.71%
ARMSTRONG vs Lars 9–4 69.23%
ARMSTRONG vs Feng 8–2 80.00%
ARMSTRONG vs Nina 7–3 70.00%
ARMSTRONG vs Leroy 6–4 60.00%
ARMSTRONG vs Claudio 5–4 55.56%
ARMSTRONG vs Clive 6–3 66.67%
ARMSTRONG vs Shaheen 4–3 57.14%
ARMSTRONG vs Yoshimitsu 6–0 100.00%
ARMSTRONG vs Xiaoyu 3–3 50.00%
ARMSTRONG vs Zafina 3–2 60.00%
ARMSTRONG vs Leo 2–2 50.00%
ARMSTRONG vs Panda 3–1 75.00%
ARMSTRONG vs Lidia 4–0 100.00%
ARMSTRONG vs Kuma 2–1 66.67%
ARMSTRONG vs Raven 2–0 100.00%
ARMSTRONG vs Jack-8 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.