Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

sekiban vs Kazuya 87–49 63.97%
sekiban vs Reina 69–46 60.00%
sekiban vs Bryan 63–50 55.75%
sekiban vs Dragunov 56–55 50.45%
sekiban vs Jin 55–34 61.80%
sekiban vs Paul 42–41 50.60%
sekiban vs Lidia 42–36 53.85%
sekiban vs Hwoarang 42–27 60.87%
sekiban vs King 37–26 58.73%
sekiban vs Asuka 36–26 58.06%
sekiban vs Devil Jin 26–28 48.15%
sekiban vs Law 23–30 43.40%
sekiban vs Alisa 31–22 58.49%
sekiban vs Victor 20–33 37.74%
sekiban vs Lili 22–30 42.31%
sekiban vs Feng 26–25 50.98%
sekiban vs Leroy 25–25 50.00%
sekiban vs Lars 34–11 75.56%
sekiban vs Claudio 26–19 57.78%
sekiban vs Jun 21–23 47.73%
sekiban vs Lee 18–23 43.90%
sekiban vs Steve 19–21 47.50%
sekiban vs Azucena 22–18 55.00%
sekiban vs Yoshimitsu 19–18 51.35%
sekiban vs Jack-8 12–19 38.71%
sekiban vs Eddy 16–9 64.00%
sekiban vs Xiaoyu 12–12 50.00%
sekiban vs Leo 14–7 66.67%
sekiban vs Nina 10–11 47.62%
sekiban vs Zafina 12–9 57.14%
sekiban vs Raven 10–8 55.56%
sekiban vs Shaheen 9–8 52.94%
sekiban vs Kuma 11–3 78.57%
sekiban vs Panda 7–7 50.00%
sekiban vs Clive 2–1 66.67%

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.