Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Cold Morning vs Kazuya 77–62 55.40%
Cold Morning vs King 42–48 46.67%
Cold Morning vs Reina 42–45 48.28%
Cold Morning vs Bryan 48–38 55.81%
Cold Morning vs Jin 35–42 45.45%
Cold Morning vs Hwoarang 39–30 56.52%
Cold Morning vs Law 27–38 41.54%
Cold Morning vs Steve 23–38 37.70%
Cold Morning vs Lee 28–32 46.67%
Cold Morning vs Azucena 20–34 37.04%
Cold Morning vs Eddy 21–29 42.00%
Cold Morning vs Dragunov 23–26 46.94%
Cold Morning vs Jun 18–31 36.73%
Cold Morning vs Lars 19–27 41.30%
Cold Morning vs Asuka 19–26 42.22%
Cold Morning vs Paul 20–22 47.62%
Cold Morning vs Lili 19–19 50.00%
Cold Morning vs Lidia 19–19 50.00%
Cold Morning vs Leo 13–21 38.24%
Cold Morning vs Yoshimitsu 17–14 54.84%
Cold Morning vs Claudio 14–14 50.00%
Cold Morning vs Jack-8 12–14 46.15%
Cold Morning vs Devil Jin 8–17 32.00%
Cold Morning vs Feng 13–12 52.00%
Cold Morning vs Leroy 9–15 37.50%
Cold Morning vs Raven 10–11 47.62%
Cold Morning vs Xiaoyu 5–15 25.00%
Cold Morning vs Alisa 14–6 70.00%
Cold Morning vs Kuma 6–14 30.00%
Cold Morning vs Victor 9–11 45.00%
Cold Morning vs Shaheen 7–12 36.84%
Cold Morning vs Nina 7–10 41.18%
Cold Morning vs Heihachi 6–6 50.00%
Cold Morning vs Zafina 5–6 45.45%
Cold Morning vs Panda 0–2 0.00%

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.