Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

mathemagics vs Kazuya 9–3 75.00%
mathemagics vs Dragunov 8–4 66.67%
mathemagics vs Bryan 10–1 90.91%
mathemagics vs King 6–3 66.67%
mathemagics vs Reina 6–3 66.67%
mathemagics vs Hwoarang 2–6 25.00%
mathemagics vs Feng 3–5 37.50%
mathemagics vs Jin 3–4 42.86%
mathemagics vs Lars 3–4 42.86%
mathemagics vs Jack-8 2–4 33.33%
mathemagics vs Lili 5–1 83.33%
mathemagics vs Shaheen 3–2 60.00%
mathemagics vs Jun 4–1 80.00%
mathemagics vs Anna 2–3 40.00%
mathemagics vs Xiaoyu 2–2 50.00%
mathemagics vs Devil Jin 4–0 100.00%
mathemagics vs Paul 3–0 100.00%
mathemagics vs Yoshimitsu 0–3 0.00%
mathemagics vs Steve 1–2 33.33%
mathemagics vs Claudio 1–2 33.33%
mathemagics vs Azucena 3–0 100.00%
mathemagics vs Eddy 2–1 66.67%
mathemagics vs Clive 2–1 66.67%
mathemagics vs Alisa 2–0 100.00%
mathemagics vs Lee 2–0 100.00%
mathemagics vs Leroy 1–1 50.00%
mathemagics vs Victor 2–0 100.00%

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.