Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

payo vs Reina 17–10 62.96%
payo vs Asuka 16–7 69.57%
payo vs Jin 11–10 52.38%
payo vs King 10–9 52.63%
payo vs Leroy 14–4 77.78%
payo vs Nina 12–5 70.59%
payo vs Lili 15–1 93.75%
payo vs Dragunov 12–4 75.00%
payo vs Hwoarang 4–11 26.67%
payo vs Law 12–2 85.71%
payo vs Steve 11–3 78.57%
payo vs Bryan 8–5 61.54%
payo vs Xiaoyu 8–3 72.73%
payo vs Claudio 5–6 45.45%
payo vs Kazuya 7–3 70.00%
payo vs Alisa 9–1 90.00%
payo vs Devil Jin 6–3 66.67%
payo vs Azucena 7–2 77.78%
payo vs Lars 4–4 50.00%
payo vs Lee 4–4 50.00%
payo vs Victor 5–3 62.50%
payo vs Yoshimitsu 2–4 33.33%
payo vs Feng 4–2 66.67%
payo vs Jun 4–2 66.67%
payo vs Raven 4–2 66.67%
payo vs Eddy 2–4 33.33%
payo vs Panda 4–1 80.00%
payo vs Shaheen 3–1 75.00%
payo vs Zafina 2–2 50.00%
payo vs Paul 0–2 0.00%
payo vs Jack-8 2–0 100.00%
payo vs Leo 0–2 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.