Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Celsius
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Ratings

Celsius vs Jin 163–328 33.20%
Celsius vs King 175–249 41.27%
Celsius vs Steve 162–261 38.30%
Celsius vs Dragunov 123–229 34.94%
Celsius vs Kazuya 118–232 33.71%
Celsius vs Bryan 108–206 34.39%
Celsius vs Reina 109–149 42.25%
Celsius vs Law 77–148 34.22%
Celsius vs Lili 85–125 40.48%
Celsius vs Asuka 70–120 36.84%
Celsius vs Heihachi 64–125 33.86%
Celsius vs Hwoarang 75–108 40.98%
Celsius vs Lars 76–107 41.53%
Celsius vs Victor 63–116 35.20%
Celsius vs Clive 57–117 32.76%
Celsius vs Paul 68–98 40.96%
Celsius vs Fahkumram 53–106 33.33%
Celsius vs Yoshimitsu 47–108 30.32%
Celsius vs Lee 55–98 35.95%
Celsius vs Jun 68–85 44.44%
Celsius vs Devil Jin 46–100 31.51%
Celsius vs Eddy 49–83 37.12%
Celsius vs Anna 41–72 36.28%
Celsius vs Alisa 33–62 34.74%
Celsius vs Xiaoyu 44–50 46.81%
Celsius vs Nina 38–54 41.30%
Celsius vs Lidia 34–53 39.08%
Celsius vs Armor King 26–60 30.23%
Celsius vs Raven 23–58 28.40%
Celsius vs Claudio 31–49 38.75%
Celsius vs Leo 30–43 41.10%
Celsius vs Azucena 38–35 52.05%
Celsius vs Leroy 26–39 40.00%
Celsius vs Feng 13–36 26.53%
Celsius vs Kuma 10–26 27.78%
Celsius vs Jack-8 9–25 26.47%
Celsius vs Shaheen 12–19 38.71%
Celsius vs Zafina 11–18 37.93%
Celsius vs Panda 6–21 22.22%
Celsius vs Miary Zo 7–17 29.17%

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.