Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Aurynalis

Ratings

Aurynalis vs King 29–17 63.04%
Aurynalis vs Jin 23–7 76.67%
Aurynalis vs Reina 20–8 71.43%
Aurynalis vs Clive 19–9 67.86%
Aurynalis vs Steve 20–6 76.92%
Aurynalis vs Azucena 17–9 65.38%
Aurynalis vs Kazuya 16–9 64.00%
Aurynalis vs Bryan 14–6 70.00%
Aurynalis vs Dragunov 16–4 80.00%
Aurynalis vs Hwoarang 13–6 68.42%
Aurynalis vs Yoshimitsu 12–5 70.59%
Aurynalis vs Heihachi 7–10 41.18%
Aurynalis vs Lidia 12–4 75.00%
Aurynalis vs Law 13–2 86.67%
Aurynalis vs Asuka 9–5 64.29%
Aurynalis vs Lili 8–6 57.14%
Aurynalis vs Lars 6–8 42.86%
Aurynalis vs Nina 10–4 71.43%
Aurynalis vs Eddy 7–7 50.00%
Aurynalis vs Leo 7–3 70.00%
Aurynalis vs Feng 7–2 77.78%
Aurynalis vs Alisa 5–4 55.56%
Aurynalis vs Jun 5–4 55.56%
Aurynalis vs Raven 5–3 62.50%
Aurynalis vs Miary Zo 7–1 87.50%
Aurynalis vs Lee 5–2 71.43%
Aurynalis vs Leroy 6–1 85.71%
Aurynalis vs Victor 5–2 71.43%
Aurynalis vs Xiaoyu 5–1 83.33%
Aurynalis vs Kuma 5–0 100.00%
Aurynalis vs Paul 3–1 75.00%
Aurynalis vs Panda 4–0 100.00%
Aurynalis vs Armor King 3–1 75.00%
Aurynalis vs Jack-8 1–2 33.33%
Aurynalis vs Devil Jin 1–1 50.00%
Aurynalis vs Claudio 1–1 50.00%
Aurynalis vs Shaheen 0–2 0.00%
Aurynalis vs Zafina 2–0 100.00%
Aurynalis vs Fahkumram 1–1 50.00%
Aurynalis vs Anna 1–0 100.00%

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.