Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Ur1ne Trouble vs Kazuya 19–13 59.38%
Ur1ne Trouble vs Reina 13–18 41.94%
Ur1ne Trouble vs Steve 11–15 42.31%
Ur1ne Trouble vs Hwoarang 11–14 44.00%
Ur1ne Trouble vs King 9–15 37.50%
Ur1ne Trouble vs Devil Jin 8–13 38.10%
Ur1ne Trouble vs Fahkumram 6–15 28.57%
Ur1ne Trouble vs Yoshimitsu 5–14 26.32%
Ur1ne Trouble vs Jin 9–7 56.25%
Ur1ne Trouble vs Jun 10–6 62.50%
Ur1ne Trouble vs Bryan 7–8 46.67%
Ur1ne Trouble vs Paul 2–11 15.38%
Ur1ne Trouble vs Dragunov 3–10 23.08%
Ur1ne Trouble vs Leo 5–8 38.46%
Ur1ne Trouble vs Azucena 6–7 46.15%
Ur1ne Trouble vs Eddy 2–9 18.18%
Ur1ne Trouble vs Clive 3–8 27.27%
Ur1ne Trouble vs Panda 6–4 60.00%
Ur1ne Trouble vs Law 2–7 22.22%
Ur1ne Trouble vs Alisa 2–7 22.22%
Ur1ne Trouble vs Asuka 3–5 37.50%
Ur1ne Trouble vs Lili 5–3 62.50%
Ur1ne Trouble vs Feng 1–6 14.29%
Ur1ne Trouble vs Lars 2–5 28.57%
Ur1ne Trouble vs Raven 3–4 42.86%
Ur1ne Trouble vs Heihachi 3–4 42.86%
Ur1ne Trouble vs Lee 2–4 33.33%
Ur1ne Trouble vs Nina 2–3 40.00%
Ur1ne Trouble vs Kuma 1–4 20.00%
Ur1ne Trouble vs Lidia 1–4 20.00%
Ur1ne Trouble vs Xiaoyu 4–0 100.00%
Ur1ne Trouble vs Jack-8 2–2 50.00%
Ur1ne Trouble vs Leroy 4–0 100.00%
Ur1ne Trouble vs Victor 2–2 50.00%
Ur1ne Trouble vs Shaheen 2–0 100.00%
Ur1ne Trouble vs Zafina 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.