Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Veilheim vs Jin 98–79 55.37%
Veilheim vs Bryan 87–81 51.79%
Veilheim vs Dragunov 65–74 46.76%
Veilheim vs Kazuya 64–62 50.79%
Veilheim vs King 70–51 57.85%
Veilheim vs Fahkumram 57–62 47.90%
Veilheim vs Lili 72–46 61.02%
Veilheim vs Hwoarang 40–60 40.00%
Veilheim vs Steve 47–48 49.47%
Veilheim vs Devil Jin 46–48 48.94%
Veilheim vs Heihachi 37–56 39.78%
Veilheim vs Asuka 48–42 53.33%
Veilheim vs Yoshimitsu 51–38 57.30%
Veilheim vs Armor King 34–53 39.08%
Veilheim vs Paul 44–42 51.16%
Veilheim vs Reina 50–32 60.98%
Veilheim vs Anna 47–34 58.02%
Veilheim vs Law 35–38 47.95%
Veilheim vs Clive 29–34 46.03%
Veilheim vs Lars 23–35 39.66%
Veilheim vs Leroy 34–24 58.62%
Veilheim vs Feng 29–28 50.88%
Veilheim vs Claudio 29–28 50.88%
Veilheim vs Victor 30–25 54.55%
Veilheim vs Lee 27–24 52.94%
Veilheim vs Leo 22–27 44.90%
Veilheim vs Jun 21–27 43.75%
Veilheim vs Eddy 21–25 45.65%
Veilheim vs Xiaoyu 29–15 65.91%
Veilheim vs Alisa 22–22 50.00%
Veilheim vs Lidia 22–18 55.00%
Veilheim vs Azucena 17–21 44.74%
Veilheim vs Shaheen 15–17 46.88%
Veilheim vs Raven 13–17 43.33%
Veilheim vs Jack-8 12–17 41.38%
Veilheim vs Nina 16–11 59.26%
Veilheim vs Zafina 13–13 50.00%
Veilheim vs Panda 10–7 58.82%
Veilheim vs Miary Zo 6–11 35.29%
Veilheim vs Kuma 6–6 50.00%

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.