Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Mollang vs Hwoarang 233–237 49.57%
Mollang vs Kazuya 207–208 49.88%
Mollang vs Bryan 175–236 42.58%
Mollang vs Dragunov 193–196 49.61%
Mollang vs King 162–199 44.88%
Mollang vs Jin 161–163 49.69%
Mollang vs Paul 150–168 47.17%
Mollang vs Reina 160–138 53.69%
Mollang vs Steve 122–150 44.85%
Mollang vs Law 123–140 46.77%
Mollang vs Asuka 104–152 40.62%
Mollang vs Lili 104–151 40.78%
Mollang vs Yoshimitsu 118–96 55.14%
Mollang vs Victor 99–112 46.92%
Mollang vs Lars 94–109 46.31%
Mollang vs Heihachi 80–114 41.24%
Mollang vs Armor King 96–94 50.53%
Mollang vs Devil Jin 94–92 50.54%
Mollang vs Lee 70–96 42.17%
Mollang vs Lidia 63–100 38.65%
Mollang vs Jun 81–78 50.94%
Mollang vs Alisa 62–93 40.00%
Mollang vs Claudio 72–80 47.37%
Mollang vs Jack-8 62–86 41.89%
Mollang vs Fahkumram 85–53 61.59%
Mollang vs Eddy 63–69 47.73%
Mollang vs Azucena 67–64 51.15%
Mollang vs Feng 66–62 51.56%
Mollang vs Nina 63–65 49.22%
Mollang vs Anna 54–69 43.90%
Mollang vs Xiaoyu 56–60 48.28%
Mollang vs Leo 53–62 46.09%
Mollang vs Raven 56–57 49.56%
Mollang vs Clive 48–52 48.00%
Mollang vs Leroy 41–55 42.71%
Mollang vs Shaheen 37–45 45.12%
Mollang vs Kuma 36–42 46.15%
Mollang vs Zafina 26–44 37.14%
Mollang vs Miary Zo 29–36 44.62%
Mollang vs Panda 15–23 39.47%

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.