Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

pYthon vs Reina 36–51 41.38%
pYthon vs King 28–58 32.56%
pYthon vs Jin 19–58 24.68%
pYthon vs Hwoarang 25–51 32.89%
pYthon vs Kazuya 30–44 40.54%
pYthon vs Law 17–43 28.33%
pYthon vs Bryan 18–40 31.03%
pYthon vs Asuka 18–37 32.73%
pYthon vs Lili 20–28 41.67%
pYthon vs Nina 15–32 31.91%
pYthon vs Victor 17–30 36.17%
pYthon vs Steve 15–30 33.33%
pYthon vs Azucena 14–30 31.82%
pYthon vs Jun 17–25 40.48%
pYthon vs Devil Jin 11–22 33.33%
pYthon vs Paul 11–20 35.48%
pYthon vs Yoshimitsu 14–17 45.16%
pYthon vs Xiaoyu 6–23 20.69%
pYthon vs Eddy 6–21 22.22%
pYthon vs Lidia 9–15 37.50%
pYthon vs Dragunov 7–15 31.82%
pYthon vs Lee 11–11 50.00%
pYthon vs Claudio 4–16 20.00%
pYthon vs Lars 6–11 35.29%
pYthon vs Alisa 9–8 52.94%
pYthon vs Feng 3–11 21.43%
pYthon vs Leo 7–7 50.00%
pYthon vs Clive 5–9 35.71%
pYthon vs Leroy 3–8 27.27%
pYthon vs Jack-8 5–5 50.00%
pYthon vs Shaheen 1–9 10.00%
pYthon vs Raven 1–9 10.00%
pYthon vs Zafina 1–6 14.29%
pYthon vs Kuma 3–3 50.00%
pYthon vs Panda 3–2 60.00%

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.