Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

xFreaKeR vs Jin 69–50 57.98%
xFreaKeR vs Bryan 64–41 60.95%
xFreaKeR vs Kazuya 65–31 67.71%
xFreaKeR vs Hwoarang 43–45 48.86%
xFreaKeR vs Lee 43–31 58.11%
xFreaKeR vs Paul 29–44 39.73%
xFreaKeR vs Steve 37–36 50.68%
xFreaKeR vs Heihachi 33–29 53.23%
xFreaKeR vs King 28–28 50.00%
xFreaKeR vs Yoshimitsu 26–26 50.00%
xFreaKeR vs Devil Jin 32–20 61.54%
xFreaKeR vs Dragunov 29–23 55.77%
xFreaKeR vs Law 21–29 42.00%
xFreaKeR vs Raven 35–14 71.43%
xFreaKeR vs Azucena 21–26 44.68%
xFreaKeR vs Asuka 24–22 52.17%
xFreaKeR vs Feng 16–27 37.21%
xFreaKeR vs Lars 20–23 46.51%
xFreaKeR vs Reina 23–18 56.10%
xFreaKeR vs Jun 20–19–1 51.28%
xFreaKeR vs Victor 22–18 55.00%
xFreaKeR vs Lili 20–19 51.28%
xFreaKeR vs Jack-8 19–15 55.88%
xFreaKeR vs Leo 19–10 65.52%
xFreaKeR vs Alisa 17–12 58.62%
xFreaKeR vs Kuma 13–16 44.83%
xFreaKeR vs Anna 13–15 46.43%
xFreaKeR vs Shaheen 16–11 59.26%
xFreaKeR vs Nina 13–13 50.00%
xFreaKeR vs Xiaoyu 16–9 64.00%
xFreaKeR vs Claudio 13–10 56.52%
xFreaKeR vs Eddy 9–13 40.91%
xFreaKeR vs Leroy 12–9 57.14%
xFreaKeR vs Zafina 5–14 26.32%
xFreaKeR vs Clive 12–6 66.67%
xFreaKeR vs Panda 8–8 50.00%
xFreaKeR vs Lidia 8–3 72.73%
xFreaKeR vs Miary Zo 5–2 71.43%
xFreaKeR vs Fahkumram 1–3 25.00%
xFreaKeR vs Armor King 2–0 100.00%

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.