Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

AutumnLeaf vs Reina 30–13 69.77%
AutumnLeaf vs King 21–17 55.26%
AutumnLeaf vs Steve 21–15 58.33%
AutumnLeaf vs Bryan 14–18 43.75%
AutumnLeaf vs Lili 19–9 67.86%
AutumnLeaf vs Hwoarang 21–5 80.77%
AutumnLeaf vs Jin 17–9 65.38%
AutumnLeaf vs Asuka 14–12 53.85%
AutumnLeaf vs Azucena 15–10 60.00%
AutumnLeaf vs Xiaoyu 19–2 90.48%
AutumnLeaf vs Kazuya 12–8 60.00%
AutumnLeaf vs Devil Jin 13–6 68.42%
AutumnLeaf vs Heihachi 11–7 61.11%
AutumnLeaf vs Raven 12–5 70.59%
AutumnLeaf vs Dragunov 8–8 50.00%
AutumnLeaf vs Paul 14–1 93.33%
AutumnLeaf vs Armor King 9–5 64.29%
AutumnLeaf vs Yoshimitsu 6–7 46.15%
AutumnLeaf vs Leo 9–4 69.23%
AutumnLeaf vs Alisa 10–3 76.92%
AutumnLeaf vs Nina 7–6 53.85%
AutumnLeaf vs Jun 10–3 76.92%
AutumnLeaf vs Eddy 11–2 84.62%
AutumnLeaf vs Feng 9–3 75.00%
AutumnLeaf vs Fahkumram 8–4 66.67%
AutumnLeaf vs Miary Zo 7–5 58.33%
AutumnLeaf vs Law 8–2 80.00%
AutumnLeaf vs Jack-8 7–3 70.00%
AutumnLeaf vs Lee 5–5 50.00%
AutumnLeaf vs Claudio 5–4 55.56%
AutumnLeaf vs Shaheen 4–5 44.44%
AutumnLeaf vs Victor 5–3 62.50%
AutumnLeaf vs Clive 5–3 62.50%
AutumnLeaf vs Lars 2–3 40.00%
AutumnLeaf vs Zafina 1–4 20.00%
AutumnLeaf vs Anna 2–1 66.67%
AutumnLeaf vs Panda 0–2 0.00%
AutumnLeaf vs Leroy 2–0 100.00%
AutumnLeaf vs Kuma 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.