Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Kush Coma vs Jin 87–114 43.28%
Kush Coma vs Dragunov 91–87 51.12%
Kush Coma vs Kazuya 91–79 53.53%
Kush Coma vs King 69–85 44.81%
Kush Coma vs Reina 72–80 47.37%
Kush Coma vs Hwoarang 65–78 45.45%
Kush Coma vs Yoshimitsu 45–59 43.27%
Kush Coma vs Bryan 62–42 59.62%
Kush Coma vs Paul 39–64 37.86%
Kush Coma vs Lili 39–58 40.21%
Kush Coma vs Steve 41–50 45.05%
Kush Coma vs Law 42–46 47.73%
Kush Coma vs Heihachi 27–48 36.00%
Kush Coma vs Lars 26–47 35.62%
Kush Coma vs Asuka 33–35 48.53%
Kush Coma vs Victor 20–44 31.25%
Kush Coma vs Devil Jin 31–32 49.21%
Kush Coma vs Lee 24–37 39.34%
Kush Coma vs Xiaoyu 26–32 44.83%
Kush Coma vs Nina 33–24 57.89%
Kush Coma vs Azucena 18–34 34.62%
Kush Coma vs Jun 20–30 40.00%
Kush Coma vs Alisa 22–22 50.00%
Kush Coma vs Jack-8 14–28 33.33%
Kush Coma vs Lidia 20–16 55.56%
Kush Coma vs Eddy 14–21 40.00%
Kush Coma vs Leo 15–16 48.39%
Kush Coma vs Claudio 10–19 34.48%
Kush Coma vs Leroy 12–17 41.38%
Kush Coma vs Clive 16–12 57.14%
Kush Coma vs Feng 8–16 33.33%
Kush Coma vs Anna 4–16 20.00%
Kush Coma vs Zafina 7–9 43.75%
Kush Coma vs Shaheen 8–7 53.33%
Kush Coma vs Raven 6–9 40.00%
Kush Coma vs Kuma 7–6 53.85%
Kush Coma vs Panda 4–6 40.00%
Kush Coma vs Armor King 4–4 50.00%
Kush Coma vs Fahkumram 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.