Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MadHyena vs King 65–66–1 49.62%
MadHyena vs Steve 76–49 60.80%
MadHyena vs Jin 52–44 54.17%
MadHyena vs Reina 53–42 55.79%
MadHyena vs Kazuya 28–48 36.84%
MadHyena vs Law 38–37 50.67%
MadHyena vs Hwoarang 39–36 52.00%
MadHyena vs Azucena 36–33 52.17%
MadHyena vs Eddy 26–40 39.39%
MadHyena vs Dragunov 33–29 53.23%
MadHyena vs Heihachi 27–33 45.00%
MadHyena vs Clive 31–29 51.67%
MadHyena vs Bryan 24–32 42.86%
MadHyena vs Lili 27–29 48.21%
MadHyena vs Leo 25–29 46.30%
MadHyena vs Jun 23–31 42.59%
MadHyena vs Anna 22–31 41.51%
MadHyena vs Armor King 17–34 33.33%
MadHyena vs Asuka 20–26 43.48%
MadHyena vs Jack-8 14–30 31.82%
MadHyena vs Fahkumram 12–32 27.27%
MadHyena vs Yoshimitsu 20–23 46.51%
MadHyena vs Feng 14–24 36.84%
MadHyena vs Leroy 19–15 55.88%
MadHyena vs Paul 15–18 45.45%
MadHyena vs Lars 17–14 54.84%
MadHyena vs Devil Jin 14–15 48.28%
MadHyena vs Victor 14–13 51.85%
MadHyena vs Lee 11–14 44.00%
MadHyena vs Lidia 8–16 33.33%
MadHyena vs Kuma 16–6 72.73%
MadHyena vs Alisa 7–14 33.33%
MadHyena vs Shaheen 13–8 61.90%
MadHyena vs Raven 11–10 52.38%
MadHyena vs Xiaoyu 8–11 42.11%
MadHyena vs Miary Zo 10–9 52.63%
MadHyena vs Panda 8–10 44.44%
MadHyena vs Claudio 5–11 31.25%
MadHyena vs Nina 11–5 68.75%
MadHyena vs Zafina 11–3 78.57%

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.