Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

ghoulyard vs Kazuya 86–115 42.79%
ghoulyard vs Jin 99–89 52.66%
ghoulyard vs Steve 84–87 49.12%
ghoulyard vs King 77–81 48.73%
ghoulyard vs Reina 65–75 46.43%
ghoulyard vs Hwoarang 69–68 50.36%
ghoulyard vs Heihachi 74–63 54.01%
ghoulyard vs Bryan 46–79 36.80%
ghoulyard vs Law 54–67 44.63%
ghoulyard vs Lili 32–60 34.78%
ghoulyard vs Jun 29–58 33.33%
ghoulyard vs Yoshimitsu 45–39 53.57%
ghoulyard vs Lee 33–49 40.24%
ghoulyard vs Dragunov 40–41 49.38%
ghoulyard vs Azucena 25–49 33.78%
ghoulyard vs Devil Jin 36–33 52.17%
ghoulyard vs Feng 33–32–1 50.77%
ghoulyard vs Victor 44–22 66.67%
ghoulyard vs Lidia 29–35 45.31%
ghoulyard vs Xiaoyu 23–39 37.10%
ghoulyard vs Asuka 24–38 38.71%
ghoulyard vs Clive 29–32 47.54%
ghoulyard vs Eddy 28–31 47.46%
ghoulyard vs Raven 19–35 35.19%
ghoulyard vs Alisa 21–31 40.38%
ghoulyard vs Leo 23–26 46.94%
ghoulyard vs Lars 23–24 48.94%
ghoulyard vs Jack-8 21–23 47.73%
ghoulyard vs Nina 21–22 48.84%
ghoulyard vs Paul 20–20 50.00%
ghoulyard vs Leroy 22–18 55.00%
ghoulyard vs Claudio 9–14 39.13%
ghoulyard vs Kuma 10–7 58.82%
ghoulyard vs Zafina 5–10 33.33%
ghoulyard vs Anna 6–9 40.00%
ghoulyard vs Shaheen 11–1 91.67%
ghoulyard vs Armor King 2–6 25.00%
ghoulyard vs Miary Zo 4–4 50.00%
ghoulyard vs Panda 4–2 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.