Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

KAKAROT vs Kazuya 270–224 54.66%
KAKAROT vs Law 223–205 52.10%
KAKAROT vs King 238–185 56.26%
KAKAROT vs Jin 185–189 49.47%
KAKAROT vs Bryan 187–173–1 51.94%
KAKAROT vs Steve 162–146 52.60%
KAKAROT vs Heihachi 162–145 52.77%
KAKAROT vs Hwoarang 153–151 50.33%
KAKAROT vs Paul 146–129 53.09%
KAKAROT vs Dragunov 128–111 53.56%
KAKAROT vs Jun 129–102 55.84%
KAKAROT vs Reina 110–116 48.67%
KAKAROT vs Lars 114–105 52.05%
KAKAROT vs Asuka 119–81 59.50%
KAKAROT vs Lee 84–112 42.86%
KAKAROT vs Yoshimitsu 95–98 49.22%
KAKAROT vs Lili 95–93 50.53%
KAKAROT vs Eddy 101–86 54.01%
KAKAROT vs Xiaoyu 87–84 50.88%
KAKAROT vs Clive 72–93 43.64%
KAKAROT vs Nina 70–94 42.68%
KAKAROT vs Victor 77–84 47.83%
KAKAROT vs Azucena 78–82 48.75%
KAKAROT vs Leo 86–66 56.58%
KAKAROT vs Lidia 72–80 47.37%
KAKAROT vs Feng 67–81 45.27%
KAKAROT vs Leroy 74–72 50.68%
KAKAROT vs Raven 72–56 56.25%
KAKAROT vs Devil Jin 43–79 35.25%
KAKAROT vs Fahkumram 43–74 36.75%
KAKAROT vs Jack-8 45–71 38.79%
KAKAROT vs Alisa 61–45 57.55%
KAKAROT vs Anna 52–51 50.49%
KAKAROT vs Armor King 44–38 53.66%
KAKAROT vs Claudio 44–32 57.89%
KAKAROT vs Zafina 30–28 51.72%
KAKAROT vs Kuma 20–35 36.36%
KAKAROT vs Shaheen 24–30 44.44%
KAKAROT vs Panda 19–21 47.50%
KAKAROT vs Miary Zo 9–10 47.37%

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.