Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Namarewe vs Armor King 111–132 45.68%
Namarewe vs Kazuya 100–136 42.37%
Namarewe vs King 114–107–1 51.58%
Namarewe vs Steve 87–72 54.72%
Namarewe vs Bryan 58–86 40.28%
Namarewe vs Jin 58–74 43.94%
Namarewe vs Heihachi 38–66 36.54%
Namarewe vs Yoshimitsu 26–65 28.57%
Namarewe vs Dragunov 46–44 51.11%
Namarewe vs Paul 56–29 65.88%
Namarewe vs Hwoarang 44–31 58.67%
Namarewe vs Reina 35–39 47.30%
Namarewe vs Fahkumram 40–33 54.79%
Namarewe vs Devil Jin 36–34 51.43%
Namarewe vs Lili 35–35 50.00%
Namarewe vs Eddy 39–26 60.00%
Namarewe vs Law 24–37 39.34%
Namarewe vs Lars 17–39 30.36%
Namarewe vs Lee 18–32 36.00%
Namarewe vs Xiaoyu 17–32 34.69%
Namarewe vs Alisa 14–24 36.84%
Namarewe vs Asuka 13–23 36.11%
Namarewe vs Nina 12–23 34.29%
Namarewe vs Azucena 13–22 37.14%
Namarewe vs Claudio 12–20 37.50%
Namarewe vs Clive 12–18 40.00%
Namarewe vs Anna 9–20 31.03%
Namarewe vs Miary Zo 11–18 37.93%
Namarewe vs Jun 12–15 44.44%
Namarewe vs Victor 9–15 37.50%
Namarewe vs Lidia 5–17 22.73%
Namarewe vs Feng 10–10 50.00%
Namarewe vs Leroy 10–9 52.63%
Namarewe vs Raven 8–11 42.11%
Namarewe vs Kuma 4–14 22.22%
Namarewe vs Leo 4–9 30.77%
Namarewe vs Shaheen 7–5 58.33%
Namarewe vs Jack-8 4–6 40.00%
Namarewe vs Zafina 1–6 14.29%
Namarewe vs Panda 0–2 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.