Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Afternova vs Miary Zo 59–35 62.77%
Afternova vs Jin 22–17 56.41%
Afternova vs Law 22–14 61.11%
Afternova vs Paul 15–20 42.86%
Afternova vs Feng 19–15 55.88%
Afternova vs Armor King 17–16 51.52%
Afternova vs King 25–7 78.12%
Afternova vs Steve 13–19 40.62%
Afternova vs Hwoarang 18–12 60.00%
Afternova vs Dragunov 23–7 76.67%
Afternova vs Lars 18–10 64.29%
Afternova vs Bryan 14–13 51.85%
Afternova vs Kazuya 14–11 56.00%
Afternova vs Victor 7–14 33.33%
Afternova vs Azucena 11–9 55.00%
Afternova vs Heihachi 11–8 57.89%
Afternova vs Raven 4–14 22.22%
Afternova vs Lili 10–7 58.82%
Afternova vs Asuka 5–9 35.71%
Afternova vs Devil Jin 5–9 35.71%
Afternova vs Claudio 5–9 35.71%
Afternova vs Anna 8–6 57.14%
Afternova vs Fahkumram 12–2 85.71%
Afternova vs Alisa 7–6 53.85%
Afternova vs Lee 7–5 58.33%
Afternova vs Reina 5–6 45.45%
Afternova vs Lidia 4–7 36.36%
Afternova vs Jack-8 6–4 60.00%
Afternova vs Clive 5–5 50.00%
Afternova vs Yoshimitsu 5–4 55.56%
Afternova vs Leo 6–3 66.67%
Afternova vs Nina 8–1 88.89%
Afternova vs Xiaoyu 3–4 42.86%
Afternova vs Shaheen 3–3 50.00%
Afternova vs Kuma 2–3 40.00%
Afternova vs Leroy 4–1 80.00%
Afternova vs Eddy 4–1 80.00%
Afternova vs Panda 1–2 33.33%
Afternova vs Zafina 2–0 100.00%
Afternova vs Jun 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.