Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

kamiruzu vs Jin 71–78 47.65%
kamiruzu vs Kazuya 66–66 50.00%
kamiruzu vs Reina 58–58 50.00%
kamiruzu vs Dragunov 49–63 43.75%
kamiruzu vs Steve 56–52 51.85%
kamiruzu vs Bryan 39–54 41.94%
kamiruzu vs King 41–46 47.13%
kamiruzu vs Asuka 33–29 53.23%
kamiruzu vs Lars 26–36 41.94%
kamiruzu vs Devil Jin 27–33 45.00%
kamiruzu vs Lili 38–20 65.52%
kamiruzu vs Yoshimitsu 32–23 58.18%
kamiruzu vs Law 27–25 51.92%
kamiruzu vs Heihachi 19–31 38.00%
kamiruzu vs Hwoarang 19–30 38.78%
kamiruzu vs Paul 10–38 20.83%
kamiruzu vs Lee 23–25 47.92%
kamiruzu vs Xiaoyu 19–28 40.43%
kamiruzu vs Victor 19–26 42.22%
kamiruzu vs Jun 19–25 43.18%
kamiruzu vs Clive 14–23 37.84%
kamiruzu vs Armor King 20–17 54.05%
kamiruzu vs Alisa 10–26 27.78%
kamiruzu vs Nina 14–21 40.00%
kamiruzu vs Feng 8–23 25.81%
kamiruzu vs Azucena 15–13 53.57%
kamiruzu vs Eddy 13–15 46.43%
kamiruzu vs Jack-8 13–14 48.15%
kamiruzu vs Lidia 14–13 51.85%
kamiruzu vs Anna 12–14 46.15%
kamiruzu vs Claudio 7–18 28.00%
kamiruzu vs Kuma 10–13 43.48%
kamiruzu vs Leo 15–7 68.18%
kamiruzu vs Shaheen 7–15 31.82%
kamiruzu vs Fahkumram 6–13 31.58%
kamiruzu vs Raven 6–11 35.29%
kamiruzu vs Leroy 4–9 30.77%
kamiruzu vs Panda 2–10 16.67%
kamiruzu vs Zafina 10–2 83.33%
kamiruzu vs Miary Zo 1–8 11.11%

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.