Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Unity
루키스7
Unity vs Paul 56–18 75.68%
Unity vs Lili 49–17 74.24%
Unity vs Bryan 38–19 66.67%
Unity vs Jin 35–20 63.64%
Unity vs Kazuya 32–18 64.00%
Unity vs Hwoarang 30–18 62.50%
Unity vs Steve 29–12 70.73%
Unity vs Reina 28–12 70.00%
Unity vs King 28–10 73.68%
Unity vs Lars 24–14 63.16%
Unity vs Leroy 27–9 75.00%
Unity vs Dragunov 20–15 57.14%
Unity vs Asuka 23–11 67.65%
Unity vs Victor 21–12 63.64%
Unity vs Law 22–10 68.75%
Unity vs Jun 19–13 59.38%
Unity vs Azucena 15–14 51.72%
Unity vs Yoshimitsu 17–11 60.71%
Unity vs Alisa 18–10 64.29%
Unity vs Leo 18–9 66.67%
Unity vs Xiaoyu 18–8 69.23%
Unity vs Feng 21–5 80.77%
Unity vs Claudio 14–8 63.64%
Unity vs Eddy 15–6 71.43%
Unity vs Devil Jin 13–7 65.00%
Unity vs Jack-8 12–7 63.16%
Unity vs Nina 13–6 68.42%
Unity vs Shaheen 9–5 64.29%
Unity vs Lee 7–6 53.85%
Unity vs Zafina 9–3 75.00%
Unity vs Raven 4–8 33.33%
Unity vs Kuma 5–6 45.45%
Unity vs Lidia 3–0 100.00%
Unity vs Panda 1–1 50.00%
Unity vs Clive 2–0 100.00%

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.