Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Agnir Graes

Ratings

Agnir Graes vs King 35–54 39.33%
Agnir Graes vs Jin 28–48 36.84%
Agnir Graes vs Reina 34–33 50.75%
Agnir Graes vs Eddy 9–53 14.52%
Agnir Graes vs Hwoarang 16–44 26.67%
Agnir Graes vs Kazuya 15–34 30.61%
Agnir Graes vs Law 19–27 41.30%
Agnir Graes vs Victor 20–17 54.05%
Agnir Graes vs Steve 12–24 33.33%
Agnir Graes vs Lili 12–24 33.33%
Agnir Graes vs Devil Jin 10–24 29.41%
Agnir Graes vs Dragunov 11–22 33.33%
Agnir Graes vs Paul 9–22 29.03%
Agnir Graes vs Bryan 10–19 34.48%
Agnir Graes vs Asuka 13–16 44.83%
Agnir Graes vs Yoshimitsu 14–14 50.00%
Agnir Graes vs Jun 11–16 40.74%
Agnir Graes vs Azucena 9–18 33.33%
Agnir Graes vs Lars 7–17 29.17%
Agnir Graes vs Clive 16–8 66.67%
Agnir Graes vs Nina 7–16 30.43%
Agnir Graes vs Alisa 12–10 54.55%
Agnir Graes vs Lee 7–12 36.84%
Agnir Graes vs Feng 8–9 47.06%
Agnir Graes vs Claudio 7–9 43.75%
Agnir Graes vs Raven 5–10 33.33%
Agnir Graes vs Jack-8 4–8 33.33%
Agnir Graes vs Zafina 4–7 36.36%
Agnir Graes vs Xiaoyu 7–3 70.00%
Agnir Graes vs Leo 4–5 44.44%
Agnir Graes vs Kuma 4–5 44.44%
Agnir Graes vs Heihachi 0–8 0.00%
Agnir Graes vs Leroy 4–3 57.14%
Agnir Graes vs Shaheen 5–1 83.33%
Agnir Graes vs Panda 2–2 50.00%
Agnir Graes vs Fahkumram 2–2 50.00%
Agnir Graes vs Lidia 1–2 33.33%

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.