Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
m0000

Ratings

m0000 vs Bryan 8–14 36.36%
m0000 vs Jin 18–2 90.00%
m0000 vs Kazuya 9–9 50.00%
m0000 vs Law 8–9 47.06%
m0000 vs Steve 9–7 56.25%
m0000 vs Eddy 7–4 63.64%
m0000 vs Lili 6–4 60.00%
m0000 vs King 3–4 42.86%
m0000 vs Xiaoyu 2–4 33.33%
m0000 vs Devil Jin 0–6 0.00%
m0000 vs Dragunov 0–5 0.00%
m0000 vs Nina 3–2 60.00%
m0000 vs Lee 2–3 40.00%
m0000 vs Zafina 3–2 60.00%
m0000 vs Victor 3–2 60.00%
m0000 vs Feng 2–2 50.00%
m0000 vs Jun 4–0 100.00%
m0000 vs Clive 2–2 50.00%
m0000 vs Leroy 1–2 33.33%
m0000 vs Reina 3–0 100.00%
m0000 vs Yoshimitsu 0–2 0.00%
m0000 vs Hwoarang 2–0 100.00%
m0000 vs Asuka 0–2 0.00%
m0000 vs Alisa 1–1 50.00%
m0000 vs Shaheen 0–2 0.00%
m0000 vs Kuma 2–0 100.00%
m0000 vs Panda 0–2 0.00%
m0000 vs Heihachi 0–2 0.00%
m0000 vs Anna 1–1 50.00%
m0000 vs Lars 1–0 100.00%
m0000 vs Azucena 1–0 100.00%
m0000 vs Fahkumram 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.