Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
MaadScience

Ratings

MaadScience vs King 22–12 64.71%
MaadScience vs Hwoarang 18–6 75.00%
MaadScience vs Yoshimitsu 8–13 38.10%
MaadScience vs Law 11–9 55.00%
MaadScience vs Reina 8–12 40.00%
MaadScience vs Kazuya 6–10 37.50%
MaadScience vs Eddy 5–11 31.25%
MaadScience vs Bryan 7–8 46.67%
MaadScience vs Devil Jin 8–7 53.33%
MaadScience vs Dragunov 7–8 46.67%
MaadScience vs Jun 6–8 42.86%
MaadScience vs Leo 7–6 53.85%
MaadScience vs Lee 11–2 84.62%
MaadScience vs Leroy 7–6 53.85%
MaadScience vs Paul 7–5 58.33%
MaadScience vs Xiaoyu 7–5 58.33%
MaadScience vs Jin 6–6 50.00%
MaadScience vs Steve 4–7 36.36%
MaadScience vs Victor 3–8 27.27%
MaadScience vs Alisa 5–4 55.56%
MaadScience vs Azucena 5–4 55.56%
MaadScience vs Feng 2–6 25.00%
MaadScience vs Lili 4–3 57.14%
MaadScience vs Zafina 6–1 85.71%
MaadScience vs Lars 2–4 33.33%
MaadScience vs Jack-8 3–2 60.00%
MaadScience vs Asuka 3–1 75.00%
MaadScience vs Nina 2–1 66.67%
MaadScience vs Kuma 2–0 100.00%
MaadScience vs Claudio 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.