Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

FujinGod vs Armor King 155–73 67.98%
FujinGod vs Bryan 126–38 76.83%
FujinGod vs Kazuya 104–47 68.87%
FujinGod vs King 97–29 76.98%
FujinGod vs Jin 77–41 65.25%
FujinGod vs Dragunov 86–32 72.88%
FujinGod vs Law 95–21 81.90%
FujinGod vs Steve 82–33 71.30%
FujinGod vs Reina 63–40 61.17%
FujinGod vs Fahkumram 50–30 62.50%
FujinGod vs Miary Zo 36–36 50.00%
FujinGod vs Paul 53–16 76.81%
FujinGod vs Hwoarang 52–17 75.36%
FujinGod vs Devil Jin 58–11 84.06%
FujinGod vs Yoshimitsu 47–18 72.31%
FujinGod vs Feng 45–11 80.36%
FujinGod vs Lars 35–21 62.50%
FujinGod vs Heihachi 41–14 74.55%
FujinGod vs Nina 40–10 80.00%
FujinGod vs Lili 32–16 66.67%
FujinGod vs Asuka 28–18 60.87%
FujinGod vs Alisa 34–12 73.91%
FujinGod vs Lee 39–7 84.78%
FujinGod vs Clive 26–18 59.09%
FujinGod vs Azucena 29–12 70.73%
FujinGod vs Anna 30–11 73.17%
FujinGod vs Victor 25–14 64.10%
FujinGod vs Lidia 20–19 51.28%
FujinGod vs Leroy 25–13 65.79%
FujinGod vs Jun 28–9 75.68%
FujinGod vs Raven 19–17 52.78%
FujinGod vs Leo 20–12 62.50%
FujinGod vs Eddy 19–11 63.33%
FujinGod vs Xiaoyu 20–7 74.07%
FujinGod vs Jack-8 18–8 69.23%
FujinGod vs Claudio 19–6 76.00%
FujinGod vs Shaheen 7–8 46.67%
FujinGod vs Panda 8–6 57.14%
FujinGod vs Zafina 9–5 64.29%
FujinGod vs Kuma 7–4 63.64%

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.