Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Gabriel vs Hwoarang 206–191–1 51.89%
Gabriel vs Kazuya 193–146 56.93%
Gabriel vs Bryan 151–161 48.40%
Gabriel vs Paul 170–124 57.82%
Gabriel vs Dragunov 170–121 58.42%
Gabriel vs Jin 132–146 47.48%
Gabriel vs Steve 150–124 54.74%
Gabriel vs Armor King 111–144 43.53%
Gabriel vs Reina 128–114 52.89%
Gabriel vs King 102–122 45.54%
Gabriel vs Lars 108–116 48.21%
Gabriel vs Jack-8 126–92 57.80%
Gabriel vs Victor 99–117 45.83%
Gabriel vs Yoshimitsu 86–105 45.03%
Gabriel vs Asuka 87–102 46.03%
Gabriel vs Heihachi 92–80 53.49%
Gabriel vs Lee 83–84–1 49.70%
Gabriel vs Lili 86–77–1 52.76%
Gabriel vs Anna 73–87 45.62%
Gabriel vs Lidia 89–63 58.55%
Gabriel vs Law 55–94 36.91%
Gabriel vs Devil Jin 74–74 50.00%
Gabriel vs Feng 53–89 37.32%
Gabriel vs Jun 54–81 40.00%
Gabriel vs Xiaoyu 76–55 58.02%
Gabriel vs Azucena 58–69 45.67%
Gabriel vs Leo 64–62 50.79%
Gabriel vs Alisa 60–63 48.78%
Gabriel vs Nina 60–52 53.57%
Gabriel vs Fahkumram 47–65 41.96%
Gabriel vs Leroy 58–51 53.21%
Gabriel vs Zafina 49–58 45.79%
Gabriel vs Claudio 64–42 60.38%
Gabriel vs Eddy 47–58 44.76%
Gabriel vs Raven 42–60 41.18%
Gabriel vs Shaheen 22–50 30.56%
Gabriel vs Kuma 39–30 56.52%
Gabriel vs Clive 20–40 33.33%
Gabriel vs Panda 28–16 63.64%
Gabriel vs Miary Zo 4–10 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.