Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Pytorch vs King 17–19 47.22%
Pytorch vs Jin 19–16 54.29%
Pytorch vs Reina 16–17 48.48%
Pytorch vs Kazuya 18–13 58.06%
Pytorch vs Lili 16–15 51.61%
Pytorch vs Dragunov 11–14 44.00%
Pytorch vs Law 12–10 54.55%
Pytorch vs Hwoarang 10–11 47.62%
Pytorch vs Victor 11–9 55.00%
Pytorch vs Bryan 10–9 52.63%
Pytorch vs Yoshimitsu 13–5 72.22%
Pytorch vs Steve 10–6 62.50%
Pytorch vs Devil Jin 6–9 40.00%
Pytorch vs Lars 3–12 20.00%
Pytorch vs Alisa 5–9 35.71%
Pytorch vs Asuka 9–4 69.23%
Pytorch vs Paul 3–9 25.00%
Pytorch vs Lee 6–5 54.55%
Pytorch vs Azucena 5–6 45.45%
Pytorch vs Eddy 7–4 63.64%
Pytorch vs Leo 6–3 66.67%
Pytorch vs Jun 8–1 88.89%
Pytorch vs Claudio 4–4 50.00%
Pytorch vs Nina 2–5 28.57%
Pytorch vs Jack-8 4–2 66.67%
Pytorch vs Leroy 4–2 66.67%
Pytorch vs Xiaoyu 3–0 100.00%
Pytorch vs Feng 1–1 50.00%
Pytorch vs Shaheen 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.