Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Karmilen vs Jin 114–106 51.82%
Karmilen vs Kazuya 105–102 50.72%
Karmilen vs Bryan 76–85 47.20%
Karmilen vs King 77–73 51.33%
Karmilen vs Steve 81–66 55.10%
Karmilen vs Hwoarang 74–71 51.03%
Karmilen vs Paul 73–66 52.52%
Karmilen vs Reina 84–50–1 62.69%
Karmilen vs Yoshimitsu 72–54 57.14%
Karmilen vs Law 64–61 51.20%
Karmilen vs Dragunov 59–57 50.86%
Karmilen vs Lili 51–46 52.58%
Karmilen vs Asuka 50–36 58.14%
Karmilen vs Lars 39–41 48.75%
Karmilen vs Xiaoyu 43–32 57.33%
Karmilen vs Lee 34–40 45.95%
Karmilen vs Jun 43–31 58.11%
Karmilen vs Lidia 44–30 59.46%
Karmilen vs Victor 42–31 57.53%
Karmilen vs Devil Jin 39–31 55.71%
Karmilen vs Alisa 32–34 48.48%
Karmilen vs Feng 37–27 57.81%
Karmilen vs Nina 30–31 49.18%
Karmilen vs Eddy 27–24 52.94%
Karmilen vs Azucena 37–13 74.00%
Karmilen vs Raven 24–22 52.17%
Karmilen vs Jack-8 24–20 54.55%
Karmilen vs Claudio 19–24 44.19%
Karmilen vs Leroy 19–24 44.19%
Karmilen vs Leo 26–16 61.90%
Karmilen vs Heihachi 19–15 55.88%
Karmilen vs Shaheen 16–9 64.00%
Karmilen vs Zafina 9–12 42.86%
Karmilen vs Kuma 9–9 50.00%
Karmilen vs Panda 7–5 58.33%
Karmilen vs Armor King 7–0 100.00%
Karmilen vs Clive 5–1 83.33%
Karmilen vs Anna 4–1 80.00%
Karmilen vs Fahkumram 2–1 66.67%
Karmilen vs Miary Zo 1–0 100.00%

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.