Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MacMonib vs Kazuya 7–6 53.85%
MacMonib vs Eddy 7–6 53.85%
MacMonib vs King 5–7 41.67%
MacMonib vs Lee 4–4 50.00%
MacMonib vs Law 4–3 57.14%
MacMonib vs Yoshimitsu 5–2 71.43%
MacMonib vs Hwoarang 3–4 42.86%
MacMonib vs Steve 3–4 42.86%
MacMonib vs Jack-8 1–6 14.29%
MacMonib vs Xiaoyu 3–3 50.00%
MacMonib vs Dragunov 2–3 40.00%
MacMonib vs Leo 4–1 80.00%
MacMonib vs Lars 4–1 80.00%
MacMonib vs Azucena 4–1 80.00%
MacMonib vs Paul 2–2 50.00%
MacMonib vs Nina 4–0 100.00%
MacMonib vs Jun 2–2 50.00%
MacMonib vs Reina 1–3 25.00%
MacMonib vs Asuka 2–1 66.67%
MacMonib vs Claudio 1–2 33.33%
MacMonib vs Leroy 2–1 66.67%
MacMonib vs Victor 1–2 33.33%
MacMonib vs Raven 2–1 66.67%
MacMonib vs Clive 1–2 33.33%
MacMonib vs Jin 1–1 50.00%
MacMonib vs Devil Jin 0–2 0.00%
MacMonib vs Alisa 1–1 50.00%
MacMonib vs Shaheen 0–2 0.00%
MacMonib vs Feng 1–0 100.00%
MacMonib vs Kuma 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.