Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

NewPASIS vs Kazuya 117–109 51.77%
NewPASIS vs Bryan 91–64 58.71%
NewPASIS vs Paul 102–48 68.00%
NewPASIS vs Dragunov 83–60 58.04%
NewPASIS vs Jin 81–47 63.28%
NewPASIS vs Reina 78–46 62.90%
NewPASIS vs Steve 76–41 64.96%
NewPASIS vs King 67–47 58.77%
NewPASIS vs Victor 68–35 66.02%
NewPASIS vs Asuka 51–37 57.95%
NewPASIS vs Heihachi 40–43 48.19%
NewPASIS vs Lili 38–43 46.91%
NewPASIS vs Hwoarang 45–35 56.25%
NewPASIS vs Clive 52–25 67.53%
NewPASIS vs Claudio 36–30 54.55%
NewPASIS vs Devil Jin 36–25 59.02%
NewPASIS vs Jun 26–29 47.27%
NewPASIS vs Law 25–24 51.02%
NewPASIS vs Yoshimitsu 23–25 47.92%
NewPASIS vs Leroy 25–22 53.19%
NewPASIS vs Lars 22–24 47.83%
NewPASIS vs Azucena 21–22 48.84%
NewPASIS vs Feng 22–20 52.38%
NewPASIS vs Alisa 25–17 59.52%
NewPASIS vs Raven 21–16 56.76%
NewPASIS vs Lidia 17–17 50.00%
NewPASIS vs Nina 18–15 54.55%
NewPASIS vs Lee 19–14 57.58%
NewPASIS vs Leo 18–13 58.06%
NewPASIS vs Shaheen 11–18 37.93%
NewPASIS vs Xiaoyu 17–9 65.38%
NewPASIS vs Kuma 14–12 53.85%
NewPASIS vs Jack-8 10–13 43.48%
NewPASIS vs Eddy 9–14 39.13%
NewPASIS vs Armor King 15–8 65.22%
NewPASIS vs Zafina 10–12 45.45%
NewPASIS vs Fahkumram 18–3 85.71%
NewPASIS vs Panda 8–3 72.73%
NewPASIS vs Anna 0–3 0.00%
NewPASIS vs Miary Zo 0–1 0.00%

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.