Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Imperialcupid

Ratings

Imperialcupid vs Jin 31–30 50.82%
Imperialcupid vs King 22–37 37.29%
Imperialcupid vs Reina 18–24 42.86%
Imperialcupid vs Asuka 18–22 45.00%
Imperialcupid vs Xiaoyu 19–19 50.00%
Imperialcupid vs Steve 14–24 36.84%
Imperialcupid vs Law 17–19 47.22%
Imperialcupid vs Kazuya 14–22 38.89%
Imperialcupid vs Hwoarang 13–15 46.43%
Imperialcupid vs Azucena 15–11 57.69%
Imperialcupid vs Jun 12–13 48.00%
Imperialcupid vs Lee 11–11 50.00%
Imperialcupid vs Yoshimitsu 13–8 61.90%
Imperialcupid vs Paul 8–12 40.00%
Imperialcupid vs Bryan 9–11 45.00%
Imperialcupid vs Jack-8 12–8 60.00%
Imperialcupid vs Leroy 9–10 47.37%
Imperialcupid vs Victor 9–10 47.37%
Imperialcupid vs Eddy 8–11 42.11%
Imperialcupid vs Lars 9–9 50.00%
Imperialcupid vs Lili 6–11 35.29%
Imperialcupid vs Nina 7–10 41.18%
Imperialcupid vs Leo 5–11 31.25%
Imperialcupid vs Alisa 7–8 46.67%
Imperialcupid vs Lidia 4–10 28.57%
Imperialcupid vs Dragunov 7–6 53.85%
Imperialcupid vs Raven 6–6 50.00%
Imperialcupid vs Feng 6–5 54.55%
Imperialcupid vs Claudio 4–5 44.44%
Imperialcupid vs Heihachi 5–3 62.50%
Imperialcupid vs Devil Jin 2–5 28.57%
Imperialcupid vs Shaheen 1–4 20.00%
Imperialcupid vs Kuma 2–3 40.00%
Imperialcupid vs Zafina 1–4 20.00%
Imperialcupid vs Panda 2–1 66.67%

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.