Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

NMKeller vs Kazuya 135–97 58.19%
NMKeller vs King 110–86 56.12%
NMKeller vs Jin 90–85 51.43%
NMKeller vs Bryan 78–82 48.75%
NMKeller vs Steve 82–73 52.90%
NMKeller vs Law 87–65 57.24%
NMKeller vs Hwoarang 89–62 58.94%
NMKeller vs Reina 80–70–1 53.33%
NMKeller vs Dragunov 56–75 42.75%
NMKeller vs Paul 50–65 43.48%
NMKeller vs Lili 56–58 49.12%
NMKeller vs Yoshimitsu 57–53 51.82%
NMKeller vs Lee 54–49 52.43%
NMKeller vs Azucena 38–59 39.18%
NMKeller vs Armor King 44–47 48.35%
NMKeller vs Lars 31–56 35.63%
NMKeller vs Devil Jin 47–35 57.32%
NMKeller vs Victor 43–35 55.13%
NMKeller vs Leo 39–33 54.17%
NMKeller vs Heihachi 33–36 47.83%
NMKeller vs Feng 33–32 50.77%
NMKeller vs Nina 28–35 44.44%
NMKeller vs Leroy 28–34 45.16%
NMKeller vs Raven 29–32 47.54%
NMKeller vs Xiaoyu 25–34 42.37%
NMKeller vs Eddy 25–33 43.10%
NMKeller vs Alisa 29–24 54.72%
NMKeller vs Asuka 16–36 30.77%
NMKeller vs Jack-8 25–22 53.19%
NMKeller vs Jun 26–20 56.52%
NMKeller vs Miary Zo 17–26 39.53%
NMKeller vs Fahkumram 14–28 33.33%
NMKeller vs Lidia 18–16 52.94%
NMKeller vs Anna 17–15 53.12%
NMKeller vs Claudio 19–8 70.37%
NMKeller vs Zafina 9–16 36.00%
NMKeller vs Shaheen 11–13 45.83%
NMKeller vs Kuma 7–16 30.43%
NMKeller vs Clive 9–13 40.91%
NMKeller vs Panda 8–9 47.06%

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.