Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

KANEZAKI vs Kazuya 63–119 34.62%
KANEZAKI vs King 57–100 36.31%
KANEZAKI vs Reina 43–102 29.66%
KANEZAKI vs Paul 48–79 37.80%
KANEZAKI vs Dragunov 39–83 31.97%
KANEZAKI vs Hwoarang 37–83 30.83%
KANEZAKI vs Jin 31–73 29.81%
KANEZAKI vs Steve 42–58 42.00%
KANEZAKI vs Bryan 38–57 40.00%
KANEZAKI vs Lili 41–53 43.62%
KANEZAKI vs Asuka 36–57 38.71%
KANEZAKI vs Victor 28–50 35.90%
KANEZAKI vs Yoshimitsu 28–46 37.84%
KANEZAKI vs Jun 24–49 32.88%
KANEZAKI vs Xiaoyu 35–37 48.61%
KANEZAKI vs Devil Jin 26–45 36.62%
KANEZAKI vs Law 27–38 41.54%
KANEZAKI vs Azucena 22–40 35.48%
KANEZAKI vs Eddy 15–45 25.00%
KANEZAKI vs Nina 12–42 22.22%
KANEZAKI vs Alisa 26–26 50.00%
KANEZAKI vs Lars 17–30 36.17%
KANEZAKI vs Fahkumram 14–29 32.56%
KANEZAKI vs Claudio 18–24 42.86%
KANEZAKI vs Leroy 13–28 31.71%
KANEZAKI vs Lidia 14–25 35.90%
KANEZAKI vs Heihachi 5–33 13.16%
KANEZAKI vs Jack-8 13–24 35.14%
KANEZAKI vs Lee 7–27 20.59%
KANEZAKI vs Feng 5–27 15.62%
KANEZAKI vs Armor King 11–19 36.67%
KANEZAKI vs Leo 8–21 27.59%
KANEZAKI vs Kuma 8–20 28.57%
KANEZAKI vs Clive 7–18 28.00%
KANEZAKI vs Shaheen 4–17 19.05%
KANEZAKI vs Zafina 6–12 33.33%
KANEZAKI vs Raven 7–11 38.89%
KANEZAKI vs Anna 5–11 31.25%
KANEZAKI vs Panda 6–7 46.15%
KANEZAKI vs Miary Zo 2–8 20.00%

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.