Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Juul Kazama vs Jin 81–99 45.00%
Juul Kazama vs Kazuya 81–65 55.48%
Juul Kazama vs King 66–75 46.81%
Juul Kazama vs Reina 53–75 41.41%
Juul Kazama vs Bryan 52–70 42.62%
Juul Kazama vs Hwoarang 41–59 41.00%
Juul Kazama vs Dragunov 39–47 45.35%
Juul Kazama vs Steve 34–48 41.46%
Juul Kazama vs Eddy 29–43 40.28%
Juul Kazama vs Law 22–48 31.43%
Juul Kazama vs Asuka 32–37 46.38%
Juul Kazama vs Lili 24–40 37.50%
Juul Kazama vs Heihachi 19–39 32.76%
Juul Kazama vs Paul 18–34 34.62%
Juul Kazama vs Azucena 20–32 38.46%
Juul Kazama vs Victor 13–39 25.00%
Juul Kazama vs Jun 23–27 46.00%
Juul Kazama vs Yoshimitsu 15–32 31.91%
Juul Kazama vs Devil Jin 15–28 34.88%
Juul Kazama vs Lars 14–28 33.33%
Juul Kazama vs Feng 25–16 60.98%
Juul Kazama vs Lee 21–20 51.22%
Juul Kazama vs Nina 15–24 38.46%
Juul Kazama vs Jack-8 20–18 52.63%
Juul Kazama vs Lidia 16–20 44.44%
Juul Kazama vs Xiaoyu 14–20 41.18%
Juul Kazama vs Leo 15–14 51.72%
Juul Kazama vs Alisa 21–7 75.00%
Juul Kazama vs Kuma 12–16 42.86%
Juul Kazama vs Clive 11–16 40.74%
Juul Kazama vs Leroy 13–6 68.42%
Juul Kazama vs Claudio 8–9 47.06%
Juul Kazama vs Shaheen 6–6 50.00%
Juul Kazama vs Panda 3–4 42.86%
Juul Kazama vs Zafina 4–2 66.67%
Juul Kazama vs Anna 4–2 66.67%
Juul Kazama vs Raven 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.