Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Shamalayan

Ratings

Shamalayan vs Jin 29–34 46.03%
Shamalayan vs Law 26–20 56.52%
Shamalayan vs King 22–14 61.11%
Shamalayan vs Bryan 13–17 43.33%
Shamalayan vs Hwoarang 19–10 65.52%
Shamalayan vs Kazuya 17–12 58.62%
Shamalayan vs Xiaoyu 18–8 69.23%
Shamalayan vs Yoshimitsu 13–8 61.90%
Shamalayan vs Steve 8–11 42.11%
Shamalayan vs Reina 14–5 73.68%
Shamalayan vs Devil Jin 5–12 29.41%
Shamalayan vs Jun 11–5 68.75%
Shamalayan vs Paul 9–6 60.00%
Shamalayan vs Lili 3–12 20.00%
Shamalayan vs Dragunov 4–11 26.67%
Shamalayan vs Nina 5–9 35.71%
Shamalayan vs Eddy 10–4 71.43%
Shamalayan vs Asuka 6–6 50.00%
Shamalayan vs Azucena 5–7 41.67%
Shamalayan vs Clive 2–10 16.67%
Shamalayan vs Victor 4–6 40.00%
Shamalayan vs Heihachi 4–6 40.00%
Shamalayan vs Claudio 3–6 33.33%
Shamalayan vs Shaheen 4–5 44.44%
Shamalayan vs Feng 5–3 62.50%
Shamalayan vs Alisa 6–2 75.00%
Shamalayan vs Lee 3–4 42.86%
Shamalayan vs Fahkumram 4–3 57.14%
Shamalayan vs Lars 1–5 16.67%
Shamalayan vs Lidia 2–4 33.33%
Shamalayan vs Leroy 3–2 60.00%
Shamalayan vs Armor King 1–4 20.00%
Shamalayan vs Jack-8 1–3 25.00%
Shamalayan vs Panda 0–4 0.00%
Shamalayan vs Raven 4–0 100.00%
Shamalayan vs Kuma 2–1 66.67%
Shamalayan vs Zafina 0–3 0.00%
Shamalayan vs Anna 3–0 100.00%
Shamalayan vs Leo 0–1 0.00%

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.