Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Fugsang vs Jin 231–178 56.48%
Fugsang vs Kazuya 214–195 52.32%
Fugsang vs Hwoarang 221–157 58.47%
Fugsang vs Dragunov 180–148 54.88%
Fugsang vs Bryan 169–140 54.69%
Fugsang vs King 145–149 49.32%
Fugsang vs Law 164–112 59.42%
Fugsang vs Paul 171–101 62.87%
Fugsang vs Reina 111–143 43.70%
Fugsang vs Devil Jin 123–129 48.81%
Fugsang vs Lars 118–130 47.58%
Fugsang vs Lili 138–104 57.02%
Fugsang vs Steve 160–72 68.97%
Fugsang vs Nina 110–104 51.40%
Fugsang vs Azucena 107–107 50.00%
Fugsang vs Feng 111–97 53.37%
Fugsang vs Lee 102–102 50.00%
Fugsang vs Yoshimitsu 88–108 44.90%
Fugsang vs Alisa 80–102 43.96%
Fugsang vs Asuka 88–84 51.16%
Fugsang vs Claudio 84–82 50.60%
Fugsang vs Heihachi 69–94 42.33%
Fugsang vs Xiaoyu 85–75 53.12%
Fugsang vs Armor King 79–76 50.97%
Fugsang vs Eddy 60–89 40.27%
Fugsang vs Jun 78–64 54.93%
Fugsang vs Leo 70–71 49.65%
Fugsang vs Raven 55–76 41.98%
Fugsang vs Victor 58–71 44.96%
Fugsang vs Zafina 53–66 44.54%
Fugsang vs Jack-8 57–54 51.35%
Fugsang vs Leroy 45–53 45.92%
Fugsang vs Fahkumram 47–41 53.41%
Fugsang vs Kuma 26–45 36.62%
Fugsang vs Shaheen 25–43 36.76%
Fugsang vs Anna 20–34 37.04%
Fugsang vs Panda 17–25 40.48%
Fugsang vs Lidia 10–28 26.32%
Fugsang vs Miary Zo 13–24 35.14%
Fugsang vs Clive 2–5 28.57%

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.