Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Unii
EZMM
Unii vs Kazuya 66–57 53.66%
Unii vs Reina 61–35 63.54%
Unii vs Paul 44–49 47.31%
Unii vs Jin 51–42 54.84%
Unii vs Dragunov 34–48 41.46%
Unii vs Bryan 45–32 58.44%
Unii vs Steve 37–34 52.11%
Unii vs King 39–28 58.21%
Unii vs Lili 29–31 48.33%
Unii vs Asuka 23–35 39.66%
Unii vs Lidia 31–24 56.36%
Unii vs Heihachi 25–30 45.45%
Unii vs Victor 29–24 54.72%
Unii vs Hwoarang 30–22 57.69%
Unii vs Azucena 24–28 46.15%
Unii vs Devil Jin 31–16 65.96%
Unii vs Claudio 18–20 47.37%
Unii vs Yoshimitsu 15–20 42.86%
Unii vs Nina 12–23 34.29%
Unii vs Law 16–17 48.48%
Unii vs Alisa 13–16 44.83%
Unii vs Lars 14–13 51.85%
Unii vs Jun 18–9 66.67%
Unii vs Leo 9–16 36.00%
Unii vs Xiaoyu 7–16 30.43%
Unii vs Feng 8–13 38.10%
Unii vs Kuma 13–7 65.00%
Unii vs Eddy 8–11 42.11%
Unii vs Lee 10–7 58.82%
Unii vs Zafina 3–12 20.00%
Unii vs Jack-8 5–8 38.46%
Unii vs Shaheen 6–5 54.55%
Unii vs Leroy 5–6 45.45%
Unii vs Raven 4–4 50.00%
Unii vs Panda 3–1 75.00%

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.