Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Namgorchai vs Hwoarang 62–70 46.97%
Namgorchai vs Heihachi 52–70 42.62%
Namgorchai vs Paul 54–66 45.00%
Namgorchai vs King 61–58 51.26%
Namgorchai vs Dragunov 56–40 58.33%
Namgorchai vs Bryan 56–36 60.87%
Namgorchai vs Yoshimitsu 36–49 42.35%
Namgorchai vs Jin 46–38 54.76%
Namgorchai vs Kazuya 44–39 53.01%
Namgorchai vs Lili 48–31 60.76%
Namgorchai vs Reina 23–47 32.86%
Namgorchai vs Law 35–31 53.03%
Namgorchai vs Asuka 38–22 63.33%
Namgorchai vs Nina 23–37 38.33%
Namgorchai vs Devil Jin 25–29 46.30%
Namgorchai vs Alisa 27–26–1 50.94%
Namgorchai vs Feng 28–24 53.85%
Namgorchai vs Victor 21–27 43.75%
Namgorchai vs Lars 29–15 65.91%
Namgorchai vs Steve 23–18 56.10%
Namgorchai vs Xiaoyu 22–15 59.46%
Namgorchai vs Leo 19–15 55.88%
Namgorchai vs Azucena 18–16 52.94%
Namgorchai vs Eddy 8–22 26.67%
Namgorchai vs Jack-8 12–17 41.38%
Namgorchai vs Claudio 10–19 34.48%
Namgorchai vs Leroy 8–21 27.59%
Namgorchai vs Jun 14–15 48.28%
Namgorchai vs Lee 18–8 69.23%
Namgorchai vs Zafina 15–11 57.69%
Namgorchai vs Lidia 7–18 28.00%
Namgorchai vs Shaheen 11–12 47.83%
Namgorchai vs Kuma 8–11 42.11%
Namgorchai vs Clive 7–11 38.89%
Namgorchai vs Raven 5–12 29.41%
Namgorchai vs Panda 6–2 75.00%
Namgorchai vs Fahkumram 3–3 50.00%
Namgorchai vs Anna 0–4 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.