Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Cheerazed vs Kazuya 70–82 46.05%
Cheerazed vs Jin 56–59 48.70%
Cheerazed vs King 60–47 56.07%
Cheerazed vs Reina 49–57 46.23%
Cheerazed vs Steve 55–46 54.46%
Cheerazed vs Heihachi 42–38 52.50%
Cheerazed vs Dragunov 30–47 38.96%
Cheerazed vs Bryan 26–42 38.24%
Cheerazed vs Law 36–23 61.02%
Cheerazed vs Hwoarang 29–30 49.15%
Cheerazed vs Paul 23–30–1 43.40%
Cheerazed vs Yoshimitsu 25–22 53.19%
Cheerazed vs Azucena 28–17 62.22%
Cheerazed vs Eddy 17–26 39.53%
Cheerazed vs Asuka 23–19 54.76%
Cheerazed vs Feng 21–21 50.00%
Cheerazed vs Armor King 18–22 45.00%
Cheerazed vs Fahkumram 20–18 52.63%
Cheerazed vs Xiaoyu 18–18 50.00%
Cheerazed vs Devil Jin 15–21 41.67%
Cheerazed vs Nina 13–21 38.24%
Cheerazed vs Lee 15–19 44.12%
Cheerazed vs Jun 15–18 45.45%
Cheerazed vs Lars 19–13 59.38%
Cheerazed vs Leo 15–16 48.39%
Cheerazed vs Lidia 12–16 42.86%
Cheerazed vs Lili 7–20 25.93%
Cheerazed vs Alisa 14–11 56.00%
Cheerazed vs Leroy 10–14 41.67%
Cheerazed vs Claudio 6–16 27.27%
Cheerazed vs Victor 13–8 61.90%
Cheerazed vs Zafina 6–14 30.00%
Cheerazed vs Shaheen 7–11 38.89%
Cheerazed vs Anna 9–8 52.94%
Cheerazed vs Raven 9–7 56.25%
Cheerazed vs Jack-8 5–5 50.00%
Cheerazed vs Clive 7–2 77.78%
Cheerazed vs Kuma 5–2 71.43%
Cheerazed vs Panda 3–2 60.00%

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.