Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Blackcomb

Ratings

Blackcomb vs Kazuya 198–115 63.26%
Blackcomb vs Dragunov 169–114 59.72%
Blackcomb vs Bryan 182–100 64.54%
Blackcomb vs Reina 153–123 55.43%
Blackcomb vs Paul 154–92 62.60%
Blackcomb vs Jin 146–91 61.60%
Blackcomb vs King 130–70 65.00%
Blackcomb vs Heihachi 120–77 60.91%
Blackcomb vs Lidia 92–60 60.53%
Blackcomb vs Hwoarang 96–49 66.21%
Blackcomb vs Steve 101–42 70.63%
Blackcomb vs Victor 79–64 55.24%
Blackcomb vs Jun 83–52 61.48%
Blackcomb vs Yoshimitsu 72–61 54.14%
Blackcomb vs Law 76–55 58.02%
Blackcomb vs Asuka 86–45 65.65%
Blackcomb vs Clive 78–53 59.54%
Blackcomb vs Devil Jin 67–60 52.76%
Blackcomb vs Lili 70–56 55.56%
Blackcomb vs Feng 72–48–1 60.00%
Blackcomb vs Claudio 70–51 57.85%
Blackcomb vs Azucena 73–33 68.87%
Blackcomb vs Xiaoyu 68–37 64.76%
Blackcomb vs Jack-8 59–44 57.28%
Blackcomb vs Shaheen 44–44 50.00%
Blackcomb vs Nina 48–39 55.17%
Blackcomb vs Lars 42–32 56.76%
Blackcomb vs Eddy 44–30 59.46%
Blackcomb vs Lee 37–36 50.68%
Blackcomb vs Leroy 45–26 63.38%
Blackcomb vs Alisa 36–32 52.94%
Blackcomb vs Leo 30–28 51.72%
Blackcomb vs Zafina 25–25 50.00%
Blackcomb vs Raven 18–20 47.37%
Blackcomb vs Panda 24–11 68.57%
Blackcomb vs Kuma 17–11 60.71%
Blackcomb vs Armor King 16–7 69.57%
Blackcomb vs Anna 17–5 77.27%

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.