Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Merienda vs Bryan 115–51 69.28%
Merienda vs Kazuya 101–46 68.71%
Merienda vs Jin 91–30 75.21%
Merienda vs Hwoarang 79–37 68.10%
Merienda vs Fahkumram 64–46 58.18%
Merienda vs Reina 69–28 71.13%
Merienda vs King 63–33 65.62%
Merienda vs Steve 68–27 71.58%
Merienda vs Paul 66–26 71.74%
Merienda vs Dragunov 62–30 67.39%
Merienda vs Heihachi 53–36 59.55%
Merienda vs Yoshimitsu 48–27 64.00%
Merienda vs Lili 48–26 64.86%
Merienda vs Law 43–25 63.24%
Merienda vs Leroy 39–29 57.35%
Merienda vs Lars 45–20 69.23%
Merienda vs Jun 48–17 73.85%
Merienda vs Lidia 39–25 60.94%
Merienda vs Leo 41–21 66.13%
Merienda vs Xiaoyu 34–27 55.74%
Merienda vs Armor King 36–25 59.02%
Merienda vs Feng 42–18 70.00%
Merienda vs Jack-8 39–20 66.10%
Merienda vs Eddy 46–10 82.14%
Merienda vs Lee 39–12 76.47%
Merienda vs Clive 35–16 68.63%
Merienda vs Asuka 33–16 67.35%
Merienda vs Azucena 33–12 73.33%
Merienda vs Victor 29–16 64.44%
Merienda vs Anna 31–14 68.89%
Merienda vs Nina 32–11 74.42%
Merienda vs Devil Jin 26–16 61.90%
Merienda vs Claudio 21–19 52.50%
Merienda vs Alisa 27–12 69.23%
Merienda vs Kuma 19–11 63.33%
Merienda vs Zafina 12–18 40.00%
Merienda vs Shaheen 15–9 62.50%
Merienda vs Raven 18–3 85.71%
Merienda vs Panda 11–8 57.89%
Merienda vs Miary Zo 9–7 56.25%

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.