Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Lady Gaga vs Kazuya 77–88 46.67%
Lady Gaga vs Reina 76–55 58.02%
Lady Gaga vs King 53–71 42.74%
Lady Gaga vs Heihachi 37–58 38.95%
Lady Gaga vs Jin 44–50 46.81%
Lady Gaga vs Bryan 32–37 46.38%
Lady Gaga vs Asuka 20–39 33.90%
Lady Gaga vs Paul 22–28 44.00%
Lady Gaga vs Lee 25–25 50.00%
Lady Gaga vs Azucena 19–31 38.00%
Lady Gaga vs Armor King 25–25 50.00%
Lady Gaga vs Lili 22–27 44.90%
Lady Gaga vs Jun 24–25 48.98%
Lady Gaga vs Clive 21–28 42.86%
Lady Gaga vs Law 16–26 38.10%
Lady Gaga vs Yoshimitsu 19–22 46.34%
Lady Gaga vs Steve 13–28 31.71%
Lady Gaga vs Devil Jin 12–29 29.27%
Lady Gaga vs Lars 14–23 37.84%
Lady Gaga vs Hwoarang 24–12 66.67%
Lady Gaga vs Lidia 14–22 38.89%
Lady Gaga vs Dragunov 15–20 42.86%
Lady Gaga vs Leo 15–20 42.86%
Lady Gaga vs Xiaoyu 18–16 52.94%
Lady Gaga vs Nina 9–20 31.03%
Lady Gaga vs Victor 9–20 31.03%
Lady Gaga vs Eddy 5–23 17.86%
Lady Gaga vs Alisa 10–16 38.46%
Lady Gaga vs Leroy 15–11 57.69%
Lady Gaga vs Fahkumram 13–11 54.17%
Lady Gaga vs Kuma 8–15 34.78%
Lady Gaga vs Raven 7–14 33.33%
Lady Gaga vs Feng 9–10 47.37%
Lady Gaga vs Shaheen 11–8 57.89%
Lady Gaga vs Zafina 8–10 44.44%
Lady Gaga vs Jack-8 6–10 37.50%
Lady Gaga vs Claudio 4–10 28.57%
Lady Gaga vs Panda 5–7 41.67%
Lady Gaga vs Anna 4–8 33.33%

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.