Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Wolfiery vs Bryan 85–84 50.30%
Wolfiery vs Kazuya 79–89 47.02%
Wolfiery vs Paul 81–76 51.59%
Wolfiery vs King 73–75 49.32%
Wolfiery vs Jin 86–51 62.77%
Wolfiery vs Heihachi 54–56 49.09%
Wolfiery vs Dragunov 43–50 46.24%
Wolfiery vs Law 38–44 46.34%
Wolfiery vs Yoshimitsu 34–43 44.16%
Wolfiery vs Hwoarang 26–45 36.62%
Wolfiery vs Steve 26–35 42.62%
Wolfiery vs Devil Jin 22–26 45.83%
Wolfiery vs Nina 23–24 48.94%
Wolfiery vs Lili 25–19 56.82%
Wolfiery vs Leroy 26–18 59.09%
Wolfiery vs Anna 21–22 48.84%
Wolfiery vs Reina 20–21 48.78%
Wolfiery vs Feng 19–21 47.50%
Wolfiery vs Raven 26–13 66.67%
Wolfiery vs Lee 12–25 32.43%
Wolfiery vs Victor 21–15 58.33%
Wolfiery vs Jack-8 19–15 55.88%
Wolfiery vs Claudio 20–12 62.50%
Wolfiery vs Azucena 18–14 56.25%
Wolfiery vs Armor King 15–17 46.88%
Wolfiery vs Asuka 18–12 60.00%
Wolfiery vs Eddy 13–16 44.83%
Wolfiery vs Fahkumram 18–11 62.07%
Wolfiery vs Alisa 15–10 60.00%
Wolfiery vs Lidia 11–14 44.00%
Wolfiery vs Zafina 12–8 60.00%
Wolfiery vs Xiaoyu 11–7 61.11%
Wolfiery vs Clive 8–10 44.44%
Wolfiery vs Jun 0–15 0.00%
Wolfiery vs Miary Zo 12–3 80.00%
Wolfiery vs Leo 8–6 57.14%
Wolfiery vs Lars 4–9 30.77%
Wolfiery vs Shaheen 4–7 36.36%
Wolfiery vs Kuma 5–4 55.56%
Wolfiery vs Panda 2–0 100.00%

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.