Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

uolen vs Lili 6–11 35.29%
uolen vs Hwoarang 1–15 6.25%
uolen vs Reina 4–11 26.67%
uolen vs King 2–12 14.29%
uolen vs Victor 3–11 21.43%
uolen vs Dragunov 2–8 20.00%
uolen vs Jin 4–5 44.44%
uolen vs Asuka 3–5 37.50%
uolen vs Azucena 0–8 0.00%
uolen vs Lars 0–7 0.00%
uolen vs Xiaoyu 0–6 0.00%
uolen vs Nina 1–5 16.67%
uolen vs Kuma 0–6 0.00%
uolen vs Jun 0–6 0.00%
uolen vs Law 0–5 0.00%
uolen vs Bryan 0–5 0.00%
uolen vs Leo 2–3 40.00%
uolen vs Yoshimitsu 0–4 0.00%
uolen vs Kazuya 0–3 0.00%
uolen vs Eddy 1–2 33.33%
uolen vs Paul 0–2 0.00%
uolen vs Steve 0–2 0.00%
uolen vs Jack-8 0–2 0.00%
uolen vs Devil Jin 0–2 0.00%
uolen vs Shaheen 0–2 0.00%
uolen vs Panda 0–2 0.00%
uolen vs Zafina 0–2 0.00%
uolen vs Leroy 0–2 0.00%
uolen vs Alisa 1–0 100.00%
uolen vs Raven 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.