Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

NemeSis vs Kazuya 215–222 49.20%
NemeSis vs Dragunov 175–216 44.76%
NemeSis vs Bryan 166–202 45.11%
NemeSis vs Paul 150–202–1 42.61%
NemeSis vs Hwoarang 139–170–1 44.98%
NemeSis vs Reina 161–120 57.30%
NemeSis vs Jin 135–138 49.45%
NemeSis vs King 136–133 50.56%
NemeSis vs Heihachi 116–124 48.33%
NemeSis vs Asuka 123–110 52.79%
NemeSis vs Clive 103–129 44.40%
NemeSis vs Law 102–99 50.75%
NemeSis vs Steve 84–102 45.16%
NemeSis vs Lili 87–96 47.54%
NemeSis vs Fahkumram 69–113 37.91%
NemeSis vs Armor King 77–104 42.54%
NemeSis vs Azucena 81–92 46.82%
NemeSis vs Victor 74–88 45.68%
NemeSis vs Yoshimitsu 59–98 37.58%
NemeSis vs Jack-8 68–78 46.58%
NemeSis vs Feng 74–72 50.68%
NemeSis vs Jun 63–83 43.15%
NemeSis vs Devil Jin 86–59 59.31%
NemeSis vs Lars 71–72 49.65%
NemeSis vs Alisa 68–71 48.92%
NemeSis vs Lidia 57–73 43.85%
NemeSis vs Claudio 43–80 34.96%
NemeSis vs Xiaoyu 60–55 52.17%
NemeSis vs Lee 48–67 41.74%
NemeSis vs Leroy 45–65 40.91%
NemeSis vs Nina 53–52 50.48%
NemeSis vs Miary Zo 54–51 51.43%
NemeSis vs Zafina 47–49 48.96%
NemeSis vs Shaheen 40–45 47.06%
NemeSis vs Leo 38–46 45.24%
NemeSis vs Eddy 30–47 38.96%
NemeSis vs Raven 33–41 44.59%
NemeSis vs Anna 32–30 51.61%
NemeSis vs Kuma 27–18 60.00%
NemeSis vs Panda 7–22 24.14%

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.