Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

smokeymokey vs Bryan 132–182 42.04%
smokeymokey vs King 172–107 61.65%
smokeymokey vs Jin 144–134 51.80%
smokeymokey vs Kazuya 140–119 54.05%
smokeymokey vs Reina 132–126 51.16%
smokeymokey vs Steve 112–116 49.12%
smokeymokey vs Heihachi 91–136 40.09%
smokeymokey vs Law 106–90 54.08%
smokeymokey vs Hwoarang 89–105 45.88%
smokeymokey vs Dragunov 87–105 45.31%
smokeymokey vs Paul 109–76 58.92%
smokeymokey vs Lili 82–91 47.40%
smokeymokey vs Lee 70–96 42.17%
smokeymokey vs Yoshimitsu 59–94 38.56%
smokeymokey vs Jun 65–69 48.51%
smokeymokey vs Lidia 39–93 29.55%
smokeymokey vs Devil Jin 64–63 50.39%
smokeymokey vs Lars 58–66 46.77%
smokeymokey vs Xiaoyu 52–66 44.07%
smokeymokey vs Azucena 43–64 40.19%
smokeymokey vs Leo 42–63 40.00%
smokeymokey vs Nina 35–69 33.65%
smokeymokey vs Asuka 39–64 37.86%
smokeymokey vs Victor 49–53 48.04%
smokeymokey vs Feng 43–53 44.79%
smokeymokey vs Eddy 33–54 37.93%
smokeymokey vs Jack-8 38–48 44.19%
smokeymokey vs Raven 35–46 43.21%
smokeymokey vs Alisa 30–43 41.10%
smokeymokey vs Kuma 36–34 51.43%
smokeymokey vs Claudio 23–31 42.59%
smokeymokey vs Shaheen 17–29 36.96%
smokeymokey vs Leroy 20–25 44.44%
smokeymokey vs Zafina 14–25 35.90%
smokeymokey vs Panda 10–11 47.62%
smokeymokey vs Clive 10–10 50.00%

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.