Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

pufferie vs Heihachi 119–74 61.66%
pufferie vs Bryan 101–82 55.19%
pufferie vs Kazuya 112–54 67.47%
pufferie vs King 81–75 51.92%
pufferie vs Jin 90–59 60.40%
pufferie vs Reina 82–65 55.78%
pufferie vs Hwoarang 58–83 41.13%
pufferie vs Dragunov 57–74 43.51%
pufferie vs Lili 42–74 36.21%
pufferie vs Yoshimitsu 54–61 46.96%
pufferie vs Steve 56–59 48.70%
pufferie vs Law 53–53 50.00%
pufferie vs Lee 70–35 66.67%
pufferie vs Devil Jin 67–37 64.42%
pufferie vs Azucena 55–42 56.70%
pufferie vs Lars 44–48 47.83%
pufferie vs Paul 39–52 42.86%
pufferie vs Asuka 28–51 35.44%
pufferie vs Raven 33–40 45.21%
pufferie vs Nina 35–37 48.61%
pufferie vs Xiaoyu 32–39 45.07%
pufferie vs Feng 42–29 59.15%
pufferie vs Leroy 29–39 42.65%
pufferie vs Lidia 38–27 58.46%
pufferie vs Leo 36–28 56.25%
pufferie vs Jun 34–29 53.97%
pufferie vs Claudio 40–20 66.67%
pufferie vs Jack-8 26–31 45.61%
pufferie vs Victor 40–17 70.18%
pufferie vs Eddy 28–26 51.85%
pufferie vs Alisa 24–24 50.00%
pufferie vs Zafina 16–27 37.21%
pufferie vs Kuma 22–19 53.66%
pufferie vs Fahkumram 21–14 60.00%
pufferie vs Anna 6–5 54.55%
pufferie vs Panda 6–4 60.00%
pufferie vs Armor King 5–5 50.00%
pufferie vs Miary Zo 8–1 88.89%
pufferie vs Shaheen 2–5 28.57%
pufferie vs Clive 3–3 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.