Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

charmik vs Kazuya 232–193 54.59%
charmik vs Hwoarang 258–144 64.18%
charmik vs Dragunov 247–152 61.90%
charmik vs Clive 207–168 55.20%
charmik vs Bryan 173–177–1 49.43%
charmik vs Paul 200–137 59.35%
charmik vs King 166–143 53.72%
charmik vs Jin 140–146 48.95%
charmik vs Steve 144–129 52.75%
charmik vs Reina 127–117 52.05%
charmik vs Heihachi 128–115 52.67%
charmik vs Lili 114–115 49.78%
charmik vs Devil Jin 115–98 53.99%
charmik vs Lars 100–92 52.08%
charmik vs Asuka 92–93 49.73%
charmik vs Azucena 94–90 51.09%
charmik vs Yoshimitsu 91–89 50.56%
charmik vs Jack-8 83–93 47.16%
charmik vs Law 83–92 47.43%
charmik vs Nina 72–102 41.38%
charmik vs Victor 77–82 48.43%
charmik vs Armor King 73–81 47.40%
charmik vs Claudio 74–78 48.68%
charmik vs Feng 75–68 52.45%
charmik vs Lee 59–80 42.45%
charmik vs Leroy 67–72 48.20%
charmik vs Eddy 71–62–1 53.38%
charmik vs Jun 60–73 45.11%
charmik vs Xiaoyu 76–52 59.38%
charmik vs Shaheen 63–55 53.39%
charmik vs Leo 67–46 59.29%
charmik vs Anna 58–55 51.33%
charmik vs Fahkumram 62–50 55.36%
charmik vs Kuma 62–48 56.36%
charmik vs Lidia 57–47 54.81%
charmik vs Alisa 55–46 54.46%
charmik vs Raven 33–40 45.21%
charmik vs Zafina 28–31 47.46%
charmik vs Panda 20–16 55.56%
charmik vs Miary Zo 5–8 38.46%

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.