Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

maog vs Paul 15–11 57.69%
maog vs King 16–10 61.54%
maog vs Reina 21–5 80.77%
maog vs Jin 14–6 70.00%
maog vs Dragunov 13–7 65.00%
maog vs Lili 13–6 68.42%
maog vs Kazuya 11–7 61.11%
maog vs Azucena 9–8 52.94%
maog vs Devil Jin 12–3 80.00%
maog vs Steve 11–1 91.67%
maog vs Victor 5–7 41.67%
maog vs Jun 8–3 72.73%
maog vs Nina 8–2 80.00%
maog vs Yoshimitsu 4–5 44.44%
maog vs Law 2–5 28.57%
maog vs Bryan 2–5 28.57%
maog vs Jack-8 1–6 14.29%
maog vs Alisa 5–2 71.43%
maog vs Lee 3–4 42.86%
maog vs Kuma 4–3 57.14%
maog vs Asuka 5–1 83.33%
maog vs Feng 4–2 66.67%
maog vs Lars 3–3 50.00%
maog vs Claudio 5–1 83.33%
maog vs Eddy 4–1 80.00%
maog vs Leo 1–3 25.00%
maog vs Hwoarang 0–3 0.00%
maog vs Xiaoyu 3–0 100.00%
maog vs Shaheen 1–2 33.33%
maog vs Leroy 1–2 33.33%
maog vs Panda 2–0 100.00%
maog vs Raven 1–1 50.00%

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.