Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Nal Muk Chung vs Paul 9–8 52.94%
Nal Muk Chung vs Miary Zo 5–10 33.33%
Nal Muk Chung vs Reina 9–3 75.00%
Nal Muk Chung vs King 5–6 45.45%
Nal Muk Chung vs Kazuya 6–5 54.55%
Nal Muk Chung vs Steve 6–5 54.55%
Nal Muk Chung vs Devil Jin 6–4 60.00%
Nal Muk Chung vs Nina 3–7 30.00%
Nal Muk Chung vs Lidia 4–6 40.00%
Nal Muk Chung vs Lili 5–4 55.56%
Nal Muk Chung vs Kuma 4–5 44.44%
Nal Muk Chung vs Jack-8 3–5 37.50%
Nal Muk Chung vs Fahkumram 5–3 62.50%
Nal Muk Chung vs Eddy 4–3 57.14%
Nal Muk Chung vs Hwoarang 4–2 66.67%
Nal Muk Chung vs Dragunov 0–6 0.00%
Nal Muk Chung vs Law 1–4 20.00%
Nal Muk Chung vs Xiaoyu 0–5 0.00%
Nal Muk Chung vs Leroy 3–2 60.00%
Nal Muk Chung vs Yoshimitsu 2–2 50.00%
Nal Muk Chung vs Jin 2–2 50.00%
Nal Muk Chung vs Asuka 2–2 50.00%
Nal Muk Chung vs Azucena 0–4 0.00%
Nal Muk Chung vs Victor 2–2 50.00%
Nal Muk Chung vs Anna 0–4 0.00%
Nal Muk Chung vs Bryan 1–2 33.33%
Nal Muk Chung vs Shaheen 2–1 66.67%
Nal Muk Chung vs Jun 2–1 66.67%
Nal Muk Chung vs Raven 2–1 66.67%
Nal Muk Chung vs Heihachi 0–3 0.00%
Nal Muk Chung vs Feng 0–2 0.00%
Nal Muk Chung vs Alisa 2–0 100.00%
Nal Muk Chung vs Lee 0–2 0.00%
Nal Muk Chung vs Armor King 0–2 0.00%
Nal Muk Chung vs Leo 0–1 0.00%
Nal Muk Chung 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.