Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Haacer vs Clive 15–29 34.09%
Haacer vs King 13–13 50.00%
Haacer vs Jin 7–14 33.33%
Haacer vs Law 8–9 47.06%
Haacer vs Leroy 7–10 41.18%
Haacer vs Kazuya 2–14 12.50%
Haacer vs Bryan 8–7 53.33%
Haacer vs Reina 7–8 46.67%
Haacer vs Lili 9–5 64.29%
Haacer vs Nina 7–6 53.85%
Haacer vs Victor 8–5 61.54%
Haacer vs Dragunov 6–6 50.00%
Haacer vs Yoshimitsu 5–6 45.45%
Haacer vs Paul 5–5 50.00%
Haacer vs Heihachi 7–3 70.00%
Haacer vs Asuka 4–5 44.44%
Haacer vs Jun 7–2 77.78%
Haacer vs Hwoarang 3–5 37.50%
Haacer vs Steve 4–4 50.00%
Haacer vs Jack-8 5–3 62.50%
Haacer vs Azucena 4–4 50.00%
Haacer vs Xiaoyu 1–6 14.29%
Haacer vs Alisa 1–6 14.29%
Haacer vs Devil Jin 3–3 50.00%
Haacer vs Lars 3–3 50.00%
Haacer vs Claudio 2–4 33.33%
Haacer vs Shaheen 2–4 33.33%
Haacer vs Feng 0–2 0.00%
Haacer vs Kuma 0–2 0.00%
Haacer vs Lidia 0–2 0.00%
Haacer vs Lee 1–0 100.00%
Haacer vs Eddy 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.