Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

@levibluegum
levibluegum
@levibluegum vs Kazuya 68–41 62.39%
@levibluegum vs Bryan 65–37 63.73%
@levibluegum vs King 63–24 72.41%
@levibluegum vs Jin 55–30 64.71%
@levibluegum vs Hwoarang 42–33 56.00%
@levibluegum vs Yoshimitsu 28–28 50.00%
@levibluegum vs Steve 29–23 55.77%
@levibluegum vs Dragunov 29–22 56.86%
@levibluegum vs Law 19–23 45.24%
@levibluegum vs Feng 20–22 47.62%
@levibluegum vs Lee 30–11 73.17%
@levibluegum vs Devil Jin 21–16 56.76%
@levibluegum vs Lars 24–13 64.86%
@levibluegum vs Jun 22–14 61.11%
@levibluegum vs Paul 14–21 40.00%
@levibluegum vs Reina 20–14 58.82%
@levibluegum vs Leo 18–14 56.25%
@levibluegum vs Lili 18–10 64.29%
@levibluegum vs Raven 17–9 65.38%
@levibluegum vs Victor 17–7 70.83%
@levibluegum vs Nina 10–11 47.62%
@levibluegum vs Eddy 13–8 61.90%
@levibluegum vs Asuka 13–7 65.00%
@levibluegum vs Alisa 12–7 63.16%
@levibluegum vs Azucena 13–6 68.42%
@levibluegum vs Lidia 14–5 73.68%
@levibluegum vs Heihachi 8–10 44.44%
@levibluegum vs Claudio 8–9 47.06%
@levibluegum vs Xiaoyu 10–6 62.50%
@levibluegum vs Shaheen 7–8 46.67%
@levibluegum vs Jack-8 6–6 50.00%
@levibluegum vs Zafina 4–5 44.44%
@levibluegum vs Leroy 7–2 77.78%
@levibluegum vs Kuma 4–3 57.14%
@levibluegum vs Panda 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.