Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Koriyasa vs King 72–62 53.73%
Koriyasa vs Hwoarang 69–54 56.10%
Koriyasa vs Kazuya 59–52 53.15%
Koriyasa vs Jin 56–52 51.85%
Koriyasa vs Dragunov 47–55 46.08%
Koriyasa vs Steve 54–47 53.47%
Koriyasa vs Reina 61–36 62.89%
Koriyasa vs Bryan 48–46 51.06%
Koriyasa vs Azucena 56–35 61.54%
Koriyasa vs Law 41–46 47.13%
Koriyasa vs Lili 42–33 56.00%
Koriyasa vs Devil Jin 39–32 54.93%
Koriyasa vs Lars 33–32 50.77%
Koriyasa vs Lee 43–22 66.15%
Koriyasa vs Jun 34–31 52.31%
Koriyasa vs Yoshimitsu 31–31 50.00%
Koriyasa vs Paul 33–28 54.10%
Koriyasa vs Asuka 24–37 39.34%
Koriyasa vs Nina 33–28 54.10%
Koriyasa vs Heihachi 30–29 50.85%
Koriyasa vs Victor 40–18 68.97%
Koriyasa vs Jack-8 25–28 47.17%
Koriyasa vs Xiaoyu 24–27 47.06%
Koriyasa vs Leo 26–24 52.00%
Koriyasa vs Kuma 32–18 64.00%
Koriyasa vs Raven 17–29 36.96%
Koriyasa vs Eddy 13–29 30.95%
Koriyasa vs Alisa 22–17 56.41%
Koriyasa vs Feng 17–21 44.74%
Koriyasa vs Claudio 13–16 44.83%
Koriyasa vs Shaheen 10–17 37.04%
Koriyasa vs Leroy 11–16 40.74%
Koriyasa vs Lidia 12–14 46.15%
Koriyasa vs Zafina 7–13 35.00%
Koriyasa vs Panda 10–7 58.82%
Koriyasa vs Clive 5–2 71.43%
Koriyasa vs Anna 4–2 66.67%
Koriyasa vs Armor King 3–3 50.00%
Koriyasa vs Miary Zo 6–0 100.00%
Koriyasa vs Fahkumram 2–1 66.67%

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.