Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Hibachii vs Hwoarang 89–78 53.29%
Hibachii vs Paul 84–57 59.57%
Hibachii vs King 66–62 51.56%
Hibachii vs Kazuya 59–59 50.00%
Hibachii vs Dragunov 49–54 47.57%
Hibachii vs Bryan 47–46 50.54%
Hibachii vs Steve 33–58 36.26%
Hibachii vs Reina 50–32 60.98%
Hibachii vs Jin 40–37 51.95%
Hibachii vs Law 36–38 48.65%
Hibachii vs Azucena 39–29 57.35%
Hibachii vs Nina 36–30 54.55%
Hibachii vs Heihachi 30–32 48.39%
Hibachii vs Leroy 33–28 54.10%
Hibachii vs Lili 31–25 55.36%
Hibachii vs Asuka 30–25 54.55%
Hibachii vs Lars 22–33 40.00%
Hibachii vs Jun 24–30 44.44%
Hibachii vs Xiaoyu 23–25 47.92%
Hibachii vs Victor 28–18 60.87%
Hibachii vs Eddy 22–23 48.89%
Hibachii vs Jack-8 17–26 39.53%
Hibachii vs Devil Jin 21–20 51.22%
Hibachii vs Raven 14–26 35.00%
Hibachii vs Alisa 24–15 61.54%
Hibachii vs Yoshimitsu 25–12 67.57%
Hibachii vs Lee 14–21 40.00%
Hibachii vs Leo 19–14 57.58%
Hibachii vs Feng 13–19 40.62%
Hibachii vs Shaheen 20–9 68.97%
Hibachii vs Kuma 13–15 46.43%
Hibachii vs Zafina 13–15 46.43%
Hibachii vs Lidia 13–14 48.15%
Hibachii vs Claudio 12–13 48.00%
Hibachii vs Fahkumram 11–12 47.83%
Hibachii vs Clive 10–12 45.45%
Hibachii vs Anna 10–7 58.82%
Hibachii vs Armor King 8–7 53.33%
Hibachii vs Miary Zo 1–6 14.29%
Hibachii vs Panda 1–4 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.