Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

fareisshi vs Steve 54–45 54.55%
fareisshi vs Bryan 52–35 59.77%
fareisshi vs King 57–26 68.67%
fareisshi vs Asuka 47–35 57.32%
fareisshi vs Victor 40–38 51.28%
fareisshi vs Eddy 39–38 50.65%
fareisshi vs Yoshimitsu 42–23 64.62%
fareisshi vs Lili 32–33 49.23%
fareisshi vs Dragunov 38–27 58.46%
fareisshi vs Kazuya 33–30 52.38%
fareisshi vs Raven 34–26 56.67%
fareisshi vs Law 37–21 63.79%
fareisshi vs Lars 42–16 72.41%
fareisshi vs Jin 43–14 75.44%
fareisshi vs Jun 36–18 66.67%
fareisshi vs Hwoarang 28–25 52.83%
fareisshi vs Lee 35–18 66.04%
fareisshi vs Nina 29–22 56.86%
fareisshi vs Azucena 27–17 61.36%
fareisshi vs Claudio 29–14 67.44%
fareisshi vs Feng 17–25 40.48%
fareisshi vs Shaheen 31–11 73.81%
fareisshi vs Leroy 21–21 50.00%
fareisshi vs Xiaoyu 19–21 47.50%
fareisshi vs Reina 28–11 71.79%
fareisshi vs Devil Jin 28–10 73.68%
fareisshi vs Alisa 15–21 41.67%
fareisshi vs Leo 22–10 68.75%
fareisshi vs Jack-8 15–13 53.57%
fareisshi vs Lidia 13–13 50.00%
fareisshi vs Panda 10–14 41.67%
fareisshi vs Anna 16–8 66.67%
fareisshi vs Zafina 12–9 57.14%
fareisshi vs Paul 14–5 73.68%
fareisshi vs Kuma 3–8 27.27%
fareisshi vs Heihachi 6–3 66.67%
fareisshi vs Clive 6–2 75.00%
fareisshi vs Fahkumram 1–4 20.00%
fareisshi vs Armor King 1–3 25.00%

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.