Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

saintEVE vs Jin 119–81 59.50%
saintEVE vs Kazuya 102–74 57.95%
saintEVE vs Steve 72–70 50.70%
saintEVE vs Dragunov 70–71 49.65%
saintEVE vs Bryan 58–81 41.73%
saintEVE vs King 69–60 53.49%
saintEVE vs Hwoarang 57–57 50.00%
saintEVE vs Lili 62–51 54.87%
saintEVE vs Law 52–49 51.49%
saintEVE vs Reina 56–36 60.87%
saintEVE vs Asuka 39–42 48.15%
saintEVE vs Heihachi 44–35 55.70%
saintEVE vs Victor 40–38 51.28%
saintEVE vs Azucena 37–29 56.06%
saintEVE vs Paul 25–40 38.46%
saintEVE vs Yoshimitsu 34–29 53.97%
saintEVE vs Jun 25–34 42.37%
saintEVE vs Fahkumram 26–31 45.61%
saintEVE vs Lars 24–31 43.64%
saintEVE vs Devil Jin 28–22 56.00%
saintEVE vs Xiaoyu 30–15 66.67%
saintEVE vs Miary Zo 19–26 42.22%
saintEVE vs Lee 13–30 30.23%
saintEVE vs Armor King 21–22 48.84%
saintEVE vs Alisa 20–20 50.00%
saintEVE vs Nina 12–24 33.33%
saintEVE vs Feng 20–15 57.14%
saintEVE vs Leo 19–16 54.29%
saintEVE vs Claudio 14–20 41.18%
saintEVE vs Clive 15–19 44.12%
saintEVE vs Eddy 8–22 26.67%
saintEVE vs Lidia 16–13 55.17%
saintEVE vs Anna 10–17 37.04%
saintEVE vs Jack-8 9–15 37.50%
saintEVE vs Leroy 12–12 50.00%
saintEVE vs Raven 13–5 72.22%
saintEVE vs Kuma 6–8 42.86%
saintEVE vs Shaheen 1–5 16.67%
saintEVE vs Panda 1–2 33.33%
saintEVE vs Zafina 0–2 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.